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WO2019123865A1 - Sensing system, program, information processing device, and information processing method - Google Patents

Sensing system, program, information processing device, and information processing method Download PDF

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Publication number
WO2019123865A1
WO2019123865A1 PCT/JP2018/041067 JP2018041067W WO2019123865A1 WO 2019123865 A1 WO2019123865 A1 WO 2019123865A1 JP 2018041067 W JP2018041067 W JP 2018041067W WO 2019123865 A1 WO2019123865 A1 WO 2019123865A1
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WIPO (PCT)
Prior art keywords
odor
air
information processing
detection element
unit
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2018/041067
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French (fr)
Japanese (ja)
Inventor
陽介 恩田
服部 将志
賢一 下舞
仁 三ケ田
泰治 伊藤
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Taiyo Yuden Co Ltd
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Taiyo Yuden Co Ltd
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Publication date
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Publication of WO2019123865A1 publication Critical patent/WO2019123865A1/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M17/00Testing of vehicles
    • G01M17/007Wheeled or endless-tracked vehicles
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
    • G01N27/02Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
    • G01N27/04Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance
    • G01N27/12Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance of a solid body in dependence upon absorption of a fluid; of a solid body in dependence upon reaction with a fluid, for detecting components in the fluid
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N5/00Analysing materials by weighing, e.g. weighing small particles separated from a gas or liquid
    • G01N5/02Analysing materials by weighing, e.g. weighing small particles separated from a gas or liquid by absorbing or adsorbing components of a material and determining change of weight of the adsorbent, e.g. determining moisture content

Definitions

  • the present invention relates to a sensing system, a program, an information processing apparatus, and an information processing method.
  • odor sensor elements have been widely developed.
  • a QCM (Quartz Crystal Microbalance) sensor in which a film that adsorbs odor causing substances is provided on the surface of a quartz oscillator is known.
  • the resonance frequency changes due to the mass change.
  • the QCM sensor detects the mass of the causative substance by vibrating the AT-cut quartz oscillator and detecting the amount of change in the resonance frequency.
  • a sensor device provided with a plurality of odor sensor elements each detecting the mass of a different cause substance.
  • a sensor device can output the mass of each of a plurality of causal substances.
  • the information processing apparatus receives each amount of the plurality of causative substances output from such a sensor device, and compares the pattern of each amount of the plurality of causative substances received with the pattern registered in advance. Thus, the information processing apparatus can identify the type of odor.
  • Such a sensor device is combined with, for example, information processing technology such as IOT (Internet of Things) technology, for example, management of the environment in the room or in the vehicle, food hygiene management, factory process control, and human beings Or it can apply to physical condition management of a pet etc.
  • information processing technology such as IOT (Internet of Things) technology, for example, management of the environment in the room or in the vehicle, food hygiene management, factory process control, and human beings Or it can apply to physical condition management of a pet etc.
  • Patent Document 1 and Patent Document 2 describe a technique for notifying of the time to replace the filter of the air cleaning device.
  • Patent Document 3 describes a technique for controlling the environment in a vehicle according to the odor in the vehicle.
  • the space in the vehicle is very narrow and sealed, and the passenger stays for a long time. For this reason, the inside of the vehicle is likely to have a strong smell.
  • the smell of space in the vehicle is one of the causes of the dirt on the seat.
  • the dirt on the sheet is difficult to remove as the accumulated amount increases.
  • the present invention has been made in view of the above, and it is an object of the present invention to provide a sensing system, a program, an information processing apparatus, and an information processing method capable of notifying that the smell of a target object has become strong. .
  • a sensing system includes a sensor device including at least one detection element that detects an amount of odor causing substance contained in air in the vicinity of a target object.
  • a determination unit that determines the intensity of the odor of air in the vicinity of the target object based on a pattern representing the detection value of each of the at least one detection element; and the intensity of the odor of air in the vicinity of the target object
  • an information processing apparatus having an alarm output unit that outputs an alarm when the threshold value is larger than a predetermined threshold.
  • the present invention it can be notified that the smell of the target object has become strong.
  • FIG. 1 is a diagram showing a sensing system according to an embodiment.
  • FIG. 2 is a diagram showing the configuration of the sensor device.
  • FIG. 3 is a diagram showing an example of the configuration of the sensor unit.
  • FIG. 4 is a diagram for explaining the odor determination process.
  • FIG. 5 is a diagram showing the flow of air in the first mode.
  • FIG. 6 is a diagram showing the flow of air in the second mode.
  • FIG. 7 is a diagram showing a functional configuration of the information processing apparatus.
  • FIG. 8 is a flowchart showing an example of the flow of odor detection processing by the information processing apparatus.
  • FIG. 9 is a view showing a display example of an alarm image of the information processing apparatus.
  • FIG. 10 is a diagram showing a display example of the information processing apparatus.
  • FIG. 10 is a diagram showing a display example of the information processing apparatus.
  • FIG. 11 is a flowchart showing the flow of the process of detecting the smell of a passenger by the information processing apparatus.
  • FIG. 12 is a view showing a part of the configuration of a sensor device according to a modification.
  • FIG. 13 is a diagram showing a hardware configuration of the information processing apparatus.
  • FIG. 1 is a diagram showing a sensing system 10 according to the embodiment.
  • the sensing system 10 notifies by an alarm that the odor originating from the target object is intensified.
  • the sensing system 10 is applied to a vehicle 18.
  • the sensing system 10 applied to the vehicle 18 detects an odor originating from the seat 32 in the vehicle 18 (inside the vehicle).
  • Sensing system 10 may be applied not only to seat 32 in vehicle 18 but also to other devices.
  • the sensing system 10 may detect an odor originating from a bed, a chair or a toilet.
  • the sensing system 10 includes an information processing device 20 and at least one sensor device 30.
  • the information processing device 20 is a computer having a data processing function, a communication function, and a display function.
  • the information processing apparatus 20 is a computer such as, for example, a smartphone, a tablet, a wearable computer, a mobile phone, or a laptop computer.
  • the information processing device 20 may be a dedicated or general-purpose computer provided inside the vehicle 18.
  • the information processing device 20 may be a server or the like connectable via a communication device.
  • the information processing device 20 is used by a user (a passenger) who uses the vehicle 18.
  • Each of the at least one sensor device 30 comprises at least one detection element.
  • Each of the at least one detection element detects the amount of odor causing substance that causes the smell contained in the air.
  • the detection element detects the mass of the causative substance as the amount of the causative substance.
  • the detection element may detect the volume or molecular weight of the causative substance as the quantity of the causative substance.
  • the sensor device 30 transmits a signal representing a detection value of each of at least one built-in detection element to the information processing device 20 by wireless communication.
  • the sensor device 30 can communicate with the information processing device 20 by wireless LAN (Local Area Network) such as IEEE 802.11 or short distance wireless communication for digital devices such as IEEE 802.15.
  • wireless LAN Local Area Network
  • the information processing device 20 is a dedicated or general-purpose computer provided in the vehicle 18, the sensor device 30 performs wired communication of signals representing detection values of at least one of the built-in detection elements. May be transmitted to the information processing apparatus 20.
  • Each of the at least one sensor device 30 is mounted proximate to the seat 32 in the vehicle 18.
  • the sensor device 30 is mounted, for example, on the seat 32 in close proximity to either a seat, a backrest or a headrest.
  • the sensor device 30 can detect the amount of the causative substance originating from the seat 32 (for example, a seat, a backrest or a headrest).
  • the sensing system 10 may include a plurality of sensor devices 30 corresponding to each of the plurality of seats 32.
  • the sensing system 10 may also include a plurality of sensor devices 30 corresponding to the seat, the backrest, or the headrest in the seat 32, respectively.
  • the information processing device 20 receives, from each of the at least one sensor device 30, a signal representing a detected value of each of the at least one detection element.
  • the information processing device 20 detects, for each of the at least one sensor device 30, the odor of the surrounding air to which the target sensor device 30 is attached, based on the received detection value of the at least one detection element. For example, the information processing apparatus 20 determines the type and the intensity of the odor of air around the mounting position. Subsequently, the information processing device 20 compares the intensity of the odor of air around the mounting position with a predetermined threshold. Then, the information processing device 20 outputs an alarm when the intensity of the odor of air around the mounting position is larger than the threshold. For example, the information processing apparatus 20 performs the determination of the intensity of the odor of the air around the mounting position and the comparison with the threshold at predetermined time intervals.
  • the information processing device 20 may output information representing the smell of the seat 32 (seat, backrest or headrest) to which the sensor device 30 is attached, based on the detected smell.
  • the information processing apparatus 20 outputs information indicating the type and strength of the odor of the attached seat 32 (seat, backrest or headrest).
  • the information processing device 20 may estimate and output the cleaning time of the seat 32 (seat, backrest, or headrest) to which the sensor device 30 is attached, based on the result of the odor determination in the past.
  • FIG. 2 is a diagram showing the configuration of the sensor device 30.
  • the sensor device 30 has, for example, a size that can be carried by one hand.
  • the sensor device 30 is housed in a housing having a size of several mm to several cm on one side.
  • the shape of the sensor device 30 is an example, and may be any shape.
  • the sensor device 30 includes a filter 34, a first fan 36, a second fan 38, a sensor unit 40, a communication unit 48, a control unit 50, and a battery 52.
  • the filter 34 allows air to pass through and removes odor causing substances from the passed air.
  • the filter 34 removes at least one odor causing substance to be detected.
  • the filter 34 may remove some odor causing substances out of at least one odor causing substance to be detected.
  • the first fan 36 takes in air and passes the taken air through the filter 34 to supply it to the sensor unit 40.
  • the first fan 36 is disposed between the filter 34 and the sensor unit 40, and delivers the air that has passed through the filter 34 to the sensor unit 40.
  • the sensor apparatus 30 is arrange
  • the first fan 36 takes in air from the vicinity of the target object, passes through the filter 34, and supplies it to the sensor unit 40. Thereby, the first fan 36 can take in the air containing the minute substance attached to the target object, pass through the filter 34, and can be supplied to the sensor unit 40.
  • the second fan 38 takes in air and supplies the taken-in air to the sensor unit 40 without passing through the filter 34.
  • the second fan 38 is disposed between the air intake and the sensor unit 40, and sends out the air not passing through the filter 34 to the sensor unit 40.
  • the sensor apparatus 30 is arrange
  • the second fan 38 takes in air from the vicinity of the target object and supplies the air to the sensor unit 40 without passing through the filter 34.
  • the second fan 38 can take in the air containing the minute substance attached to the target object, and can supply the air to the sensor unit 40 without passing through the filter 34.
  • the sensor unit 40 includes at least one of the above-described detection elements.
  • the air passed through the filter 34 and the air not passed through the filter 34 are provided to the sensor unit 40 at different times.
  • Each of the at least one detection element detects the amount of odor causing substance when air passed through the filter 34 is provided. Furthermore, each of the at least one detection element detects the amount of odor causing substance even when air not passing through the filter 34 is provided.
  • the sensor unit 40 does not pass through the filter 34 of the at least one detection element and the detection value indicating the amount of the odor causing substance contained in the air that has passed through the filter 34 of each of the at least one detection element. It outputs a detected value indicating the amount of odor causing substance contained in the air. Specifically, the sensor unit 40 receives air from each of the at least one detection element when air passed through the filter 34 blown from the first fan 36 is supplied, and is blown from the second fan 38. When air not passing through the filter 34 is given, the detected value of each of the at least one detection element is output.
  • the plurality of detection elements are elements of different types.
  • any two detection elements included in the sensor unit 40 detect the amount of odor causing substances of different types.
  • the first detection element detects the amount of substance X
  • the second detection element detects the amount of substance Y.
  • any two detection elements included in the sensor unit 40 may detect the amount of odor-causing substance of the same type with different sensitivities.
  • the first detection element detects the amount of substance X at a first sensitivity
  • the second detection element detects the amount of substance X at a second sensitivity lower than the first sensitivity.
  • any two detection elements included in the sensor unit 40 may detect the amount of a plurality of odor causing substances of combinations of different types.
  • the first detection element detects the total amount of substance X and substance Y
  • the second detection element detects the total amount of substance X and substance Z.
  • any two detection elements included in the sensor unit 40 may detect the amounts of the odor causing substances of the plurality of combinations of the same type with different sensitivities.
  • the first detection element detects the total amount of the substance X and the substance Y at a first sensitivity
  • the second detection element detects the total amount of the substance X and the substance Y lower than the first sensitivity It may be detected at the second sensitivity.
  • the communication unit 48 transmits the signal detected by the sensor unit 40 to the information processing apparatus 20. That is, the communication unit 48 outputs a signal representing a detection value indicating the amount of odor causing substance contained in the air that has passed through the filter 34 of each of the at least one detection element, and the filter 34 of each of the at least one detection element. A signal representing a detected value indicating the amount of the odor causing substance contained in the air not passing through is transmitted to the information processing apparatus 20.
  • the control unit 50 manages and controls the operations of the first fan 36, the second fan 38, the sensor unit 40, and the communication unit 48. For example, the control unit 50 controls the operation start timing and the operation end timing of the first fan 36 and the second fan 38.
  • the battery 52 supplies operating power to the first fan 36, the second fan 38, the communication unit 48 and the control unit 50.
  • the sensor device 30 may have a power acquisition unit that acquires a power source provided in the vehicle 18 instead of the battery 52.
  • the power acquisition unit supplies operating power to the first fan 36, the second fan 38, the sensor unit 40, the communication unit 48, and the control unit 50.
  • FIG. 3 is a diagram showing the configuration of the sensor unit 40.
  • the sensor unit 40 is a QCM sensor capable of detecting the mass of the minute substance contained in the air.
  • the sensor unit 40 is not limited to the QCM sensor, but may be another type of sensor such as a gas sensor using a semiconductor thin film.
  • the sensor unit 40 has a support portion 58, at least one gas detection element 60, and a drive detection circuit 62.
  • the support portion 58 is attached with each of at least one gas detection element 60.
  • the gas detection element 60 is an example of a detection element.
  • the sensor unit 40 has six gas detection elements 60-A to 60-F of different types.
  • each of the six gas detection elements 60-A to 60-F detects different types of odor causing substances.
  • Each of the at least one gas detection element 60 includes at least one of a quartz crystal vibrator which is vibratably cut by a piezoelectric effect, two electrodes provided on flat surfaces on both sides of the quartz crystal vibrator, and a flat surface of the quartz crystal vibrator. And an adsorption film provided.
  • a part of the side surface of the crystal unit is vibratably held by the support 58.
  • An alternating voltage is applied to the two electrodes from the drive detection circuit 62.
  • the adsorption film adsorbs a specific detection element contained in the surrounding air.
  • Each of the at least one gas detection element 60 includes an adsorption film that adsorbs different substances.
  • each of the at least one gas detection element 60 includes an adsorption film that adsorbs the detection element to be detected by the sensor device 30.
  • the drive detection circuit 62 applies an alternating voltage to each of the at least one gas detection element 60 when the first fan 36 or the second fan 38 blows, and the fundamental resonance frequency of each of the at least one gas detection element 60 To detect changes in Thus, the drive detection circuit 62 detects, for each of the at least one gas detection element 60, the mass of the odor-causing substance contained in the air given by the air blowing from the first fan 36 or the second fan 38. Can. The drive detection circuit 62 supplies the detected value to the communication unit 48.
  • FIG. 4 is a diagram for explaining the odor determination process.
  • the information processing device 20 acquires, from the sensor device 30, a signal representing a detection value of each of at least one detection element.
  • the information processing apparatus 20 includes a gas detection element 60-A, a gas detection element 60-B, a gas detection element 60-C, a gas detection element 60-D, a gas detection element 60-E and A signal representing each detected value of the gas detection element 60-F is acquired.
  • the information processing device 20 stores reference patterns representing detection values of at least one detection element, which are acquired when a predetermined type of odor occurs.
  • the information processing apparatus 20 represents the detection values of the gas detection elements 60 -A to 60 -F when each of the aging odor, the mold odor and the odor of sweat is detected.
  • the reference pattern is stored.
  • the information processing device 20 detects at least one of detection patterns representing detection values of at least one detection element included in a signal acquired from the sensor device 30 and a predetermined type of smell stored in advance.
  • the reference pattern representing the detection value of each of the two detection elements is matched.
  • the information processing device 20 determines that the odor of air given to the sensor device 30 is a predetermined type of odor.
  • the information processing apparatus 20 may store reference patterns for a plurality of types of odors, and determine to which odor reference pattern one detected pattern matches. For example, in the example of FIG. 4, the information processing device 20 determines that the odor of air given to the sensor device 30 is a musty odor.
  • the information processing apparatus 20 may also determine the intensity of the odor by matching for each type of odor.
  • the information processing apparatus 20 stores the reference pattern for each type of odor and for each intensity of the odor, and detects the detection pattern acquired from the sensor device 30, for each type of odor stored in advance, and the intensity of the odor May be matched with each reference pattern.
  • the information processing apparatus 20 may periodically acquire, from the server or the like, a reference pattern for each of a plurality of odor types and odor intensities, and update the stored reference patterns.
  • the information processing apparatus 20 may determine the type and strength of the odor by another method instead of such pattern matching.
  • the information processing device 20 may determine the type of odor and the intensity of the odor using a technique such as a neural network.
  • the sensor device 30 outputs detection values of six types of gas detection elements 60-A to 60-F.
  • the sensor device 30 may output detection values of the number of detection elements smaller than six or more than six.
  • the example which determines the smell of an aging smell, a musty smell, and a sweat is shown.
  • the information processing apparatus 20 may determine odors other than these.
  • the sensor apparatus 30 of this embodiment may output the detection value of one detection element.
  • the sensor device 30 passes through the detection value indicating the amount of odor causing substance contained in the air that has passed through the filter 34 of each of the at least one detection element, and the filter 34 of each of the at least one detection element. It outputs a detected value that indicates the amount of odor-causing substance contained in air. Then, the sensor device 30 outputs these detected values to the information processing device 20.
  • the information processing apparatus 20 has a first pattern representing a detection value indicating the amount of odor causing material contained in the air that has passed through the filter 34 of each of the at least one detection element, and the filter 34 of each of the at least one detection element. Calculating a difference pattern representing a difference from the second pattern representing the detected value indicating the amount of the odor causing substance contained in the air not passing through. Then, the information processing device 20 detects the odor of air based on the difference pattern. For example, the information processing apparatus 20 matches the difference pattern with the reference pattern stored in advance, and determines the type and strength of the odor of air.
  • FIG. 5 is a diagram showing the flow of air in the first mode.
  • the control unit 50 of the sensor device 30 switches between the first mode and the second mode when detecting an odor.
  • the control unit 50 operates the first fan 36 to stop the second fan 38.
  • the sensor unit 40 detects the amount of the odor causing substance from the air blown from the first fan 36 using each of at least one built-in detection element. Thereby, the sensor unit 40 can output the detection value which shows the quantity of the cause substance of the odor contained in the air which passed each filter 34 of at least 1 detection element.
  • FIG. 6 is a diagram showing the flow of air in the second mode.
  • the control unit 50 stops the first fan 36 and operates the second fan 38.
  • the sensor unit 40 detects the amount of odor causing substance from the air blown from the second fan 38 using each of at least one built-in detection element. Thereby, the sensor unit 40 can output the detection value which shows the quantity of the cause substance of the odor contained in the air which has not passed through each filter 34 of at least 1 detection element.
  • FIG. 7 is a diagram showing a functional configuration of the information processing apparatus 20. As shown in FIG. The information processing apparatus 20 implements the functions shown in each block shown in FIG. 7 by executing a predetermined application program.
  • the information processing apparatus 20 that realizes such functions includes a first acquisition unit 72, a second acquisition unit 74, a difference calculation unit 76, a pattern storage unit 78, a determination unit 80, and an alarm output unit 82.
  • a log storage unit 84, an estimation unit 86, and an information output unit 88 are included.
  • the first acquisition unit 72 acquires, from the sensor device 30, a signal representing a detection value indicating the amount of odor causing substance contained in the air that has passed through the filters 34 of at least one detection element. For example, the first acquisition unit 72 acquires a signal from the sensor device 30 every predetermined time.
  • the second acquisition unit 74 acquires, from the sensor device 30, a signal representing a detection value indicating the amount of the odor causing substance contained in the air that has not passed through the filters 34 of at least one detection element. For example, the second acquisition unit 74 acquires a signal from the sensor device 30 in synchronization with the first acquisition unit 72 every predetermined time.
  • the first acquisition unit 72 and the second acquisition unit 74 may be realized by common hardware or may be realized by separate hardware.
  • the difference calculation unit 76 has a first pattern representing the detection value of the at least one detection element acquired by the first acquisition unit 72 and a detection value of the at least one detection element acquired by the second acquisition unit 74. A difference pattern representing the difference between the two patterns is calculated. That is, the difference calculation unit 76 sets each of the first pattern representing the detection value indicating the amount of the odor causing substance contained in the air that has passed through the filter 34 of each of the at least one detection element, and the at least one detection element. A difference pattern representing a difference from the second pattern representing the detected value indicating the amount of the odor causing substance contained in the air not passing through the filter 34 is calculated.
  • the difference calculating unit 76 subtracts the value representing the detection value of the corresponding detection element included in the first pattern from the value representing the detection value of each of the at least one detection element included in the second pattern.
  • the difference pattern calculated in this manner is each detection value of at least one detection element excluding an error component such as a noise caused by the adsorption of a substance other than the detection element to the adsorption film and an offset of the sensor device 30.
  • the pattern storage unit 78 stores one or more reference patterns in association with each of a plurality of types of odors.
  • the reference pattern represents a detection value indicating the amount of odor causing substance contained in the air of the corresponding type of odor of each of the at least one detection element.
  • the pattern storage unit 78 stores a reference pattern representing each detection value of at least one detection element acquired by the sensor device 30 when each of an aging odor, a mold odor and a sweat odor is detected. Do.
  • the pattern storage unit 78 may store patterns of other types of odors as well as such types of odors.
  • the pattern storage unit 78 may store a reference pattern for each odor intensity for each type of odor.
  • the determination unit 80 performs matching between the difference pattern and one or more reference patterns stored in the pattern storage unit 78. Then, when the difference pattern matches any reference pattern, the determination unit 80 determines that the odor is any type. More specifically, the determination unit 80 selects one of the one or more reference patterns that matches the difference pattern or any reference pattern that falls within a predetermined range. Then, the determination unit 80 determines that the type of odor corresponds to the selected reference pattern.
  • the case where the patterns match means not only when the two patterns completely match, but also when they match with a predetermined error or less, or when the closest reference pattern is selected from a plurality of reference patterns, etc. Including.
  • the determination unit 80 determines the intensity of the odor for each type of odor. Thereby, the determination unit 80 can determine the type of odor and the intensity of the odor. Further, the determination unit 80 may determine the type of odor and the intensity of the odor by other methods as well as such pattern matching. For example, the determination unit 80 may determine the type of odor and the intensity of the odor matching the difference pattern using a neural network or the like.
  • the alarm output unit 82 compares the odor intensity determined by the determination unit 80 with a predetermined threshold each time the determination unit 80 determines the odor intensity.
  • the alarm output unit 82 outputs an alarm when the odor intensity is greater than the threshold.
  • the alarm output unit 82 can notify the user that the degree of contamination of the sheet 32 (for example, the seat, the backrest, or the headrest) that is the target object has become larger than a predetermined value.
  • the alarm output unit 82 causes the display unit to display an image for notifying the user that the contamination degree of the sheet 32 has become larger than a predetermined value.
  • the alarm output unit 82 may output by voice that the contamination degree of the sheet 32 has become larger than a predetermined value, or may transmit it to another device via a network.
  • the alarm output unit 82 may output an alarm when the intensity of the particular type of odor selected in advance is larger than a threshold. For example, the alarm output unit 82 may output an alarm when the intensity of sweat odor is greater than a threshold, or may output an alarm when the intensity of aging odor exceeds a threshold. It is also good.
  • the alarm output unit 82 may store different threshold values for each type of odor (for example, for each age-related odor, mold odor, or odor of sweat). In this case, the alarm output unit 82 determines, for each type of odor, whether the intensity of the odor has become greater than a threshold. Then, the alarm output unit 82 outputs an alarm when the intensity of the odor becomes larger than the threshold for any type of odor, and information indicating the type of the odor whose intensity becomes larger than the threshold Output
  • the log storage unit 84 stores the difference pattern calculated by the difference calculation unit 76 in association with the acquisition time of each detection value of at least one detection element that is the basis of the difference pattern. Furthermore, the log storage unit 84 also stores the difference pattern calculated in the past and the acquisition time in association with each other. The log storage unit 84 may store the first pattern and the second pattern instead of the difference pattern.
  • the estimation unit 86 estimates a differential pattern predicted to be calculated at an arbitrary time based on the differential pattern stored in the log storage unit 84 and the corresponding acquisition time. For example, the estimation unit 86 estimates a difference pattern at a first time based on at least one difference pattern before any first time. For example, for each of the plurality of difference detection values included in the difference pattern, the estimation unit 86 identifies a function representing time change of the difference detection value, and substitutes the first time into the identified function. Thereby, the estimation part 86 can estimate the difference pattern in 1st time.
  • the estimation unit 86 matches the difference pattern at the first time with the pattern stored in the pattern storage unit 78, and estimates the odor generated at the first time. For example, the estimation unit 86 estimates the type and intensity of the odor at the first time.
  • the information output unit 88 outputs the estimation result of the odor generated at the first time.
  • the information output unit 88 causes the display unit to display the estimation result of the odor generated at the first time.
  • the estimation unit 86 may estimate the time when the predetermined type of odor occurs based on the plurality of difference patterns stored in the log storage unit 84 and the plurality of corresponding acquisition times. For example, the estimation unit 86 estimates a time when the predetermined type of odor has a predetermined intensity. In this case, for example, the estimation unit 86 identifies, for each of the plurality of difference detection values included in the difference pattern, a function representing time change of the difference detection value. Then, based on the function representing the time change of each of the plurality of difference detection values, the time at which the pattern of the plurality of difference detection values matches the pattern stored in the pattern storage unit 78 is calculated.
  • the information output unit 88 outputs information indicating the odor of air determined by the determination unit 80. For example, the information output unit 88 outputs the type of odor and the intensity of the odor. For example, the information output unit 88 outputs the type of odor and the intensity of the odor when the user performs an operation of instructing display.
  • the information output unit 88 may output information indicating the type of odor and the intensity of the odor by voice or may transmit the information to another device via a network.
  • the information output unit 88 determines the degree of contamination of the target sheet 32 (for example, a seat, a backrest, or a headrest) based on the type of odor and the intensity of the odor based on the odor source, and determines the contamination. You may display the degree.
  • the information output unit 88 outputs the time at which a predetermined type of odor is generated. For example, the information output unit 88 causes the display unit to display the time when a predetermined type of odor occurs. In addition, the information output unit 88 may output information prompting replacement or cleaning of the seat 32 (seat, backrest, or headrest) that is the target object at a time when a predetermined type of odor is generated.
  • the information processing device 20 causes each of the plurality of sensor devices 30 to execute processing in each block. Further, the information processing device 20 causes the sensor device 30 to acquire the first pattern and the second pattern at predetermined time intervals, and causes the processing in each block to be executed based on the first pattern and the second pattern acquired at predetermined time intervals. May be
  • FIG. 8 is a flowchart showing an example of the flow of odor detection processing by the information processing apparatus 20.
  • the information processing device 20 executes, for example, the processing from step S11 to step S20 of FIG. 8 for each of the plurality of sensor devices 30 and at predetermined time intervals.
  • step S11 the information processing device 20 determines whether a predetermined time has come. For example, the information processing apparatus 20 determines whether the time when the vehicle 18 is not used, for example, a specific time in a day (a specific time such as midnight or early morning) has come. If the information processing apparatus 20 does not have the predetermined time (No in S11), the information processing apparatus 20 waits for the process in step S11 or ends the present flow.
  • a predetermined time For example, the information processing apparatus 20 determines whether the time when the vehicle 18 is not used, for example, a specific time in a day (a specific time such as midnight or early morning) has come. If the information processing apparatus 20 does not have the predetermined time (No in S11), the information processing apparatus 20 waits for the process in step S11 or ends the present flow.
  • step S12 the information processing device 20 determines whether a passenger is present in the vehicle 18. When there is a passenger in the vehicle 18 (Yes in S12), the information processing apparatus 20 waits for the process in step S12 or ends the present flow.
  • step S13 the information processing device 20 acquires, from the sensor device 30, a first pattern representing a detection value indicating the amount of odor causing material contained in the air that has passed through the filters 34 of at least one detection element. .
  • step S14 the information processing device 20 represents a detection value indicating the amount of the odor causing substance contained in the air not passing through the filter 34 of each of the at least one detection element from the sensor device 30. Get 2 patterns.
  • step S15 the information processing device 20 calculates a difference pattern representing the difference between the first pattern and the second pattern.
  • the information processing apparatus 20 calculates a difference pattern by subtracting the detection value of the corresponding detection element included in the first pattern from the detection value of each of the at least one detection element included in the second pattern. .
  • step S16 the information processing apparatus 20 detects the type of odor and the intensity of the odor by matching the difference pattern with the reference pattern.
  • step S17 the information processing apparatus 20 determines whether the detected odor intensity is larger than a predetermined threshold. For example, the information processing apparatus 20 determines whether a predetermined type of odor (for example, odor of sweat or age-related odor) is larger than a threshold. If the detected odor intensity is equal to or less than the threshold (No in S17), the information processing device 20 advances the process to S19.
  • a predetermined type of odor for example, odor of sweat or age-related odor
  • step S18 the information processing device 20 outputs an alarm.
  • the information processing apparatus 20 causes the display unit to display an image for notifying the user that the contamination degree of the sheet 32 has become larger than a predetermined value.
  • the information processing apparatus 20 may output by voice that the contamination degree of the sheet 32 has become larger than a predetermined value, or may transmit it to another apparatus via a network. Thereby, the information processing apparatus 20 can notify the user that the degree of contamination of the sheet 32 (for example, the seat, the backrest, or the headrest) which is the target object has become larger than a predetermined value.
  • the process proceeds to S19.
  • step S19 the information processing apparatus 20 estimates a time at which a predetermined type of odor becomes a predetermined odor intensity, based on the plurality of difference patterns calculated in the past and the plurality of corresponding acquisition times.
  • step S20 the information processing device 20 outputs information indicating the determined odor.
  • the information processing apparatus 20 displays, on the display unit, information indicating the type and the intensity of the determined odor. Furthermore, in step S20, the information processing apparatus 20 displays the time when the predetermined type of odor has a predetermined odor intensity.
  • the information processing apparatus 20 may display information indicating the type and strength of the determined odor when the user performs an operation to instruct display.
  • the information processing apparatus 20 After completing the process of step S20, the information processing apparatus 20 returns the process to step S11, and repeatedly executes the above process at predetermined intervals.
  • the information processing apparatus 20 may end the present flow after step S20, start again after a predetermined time, and repeat the process from S11. Further, when the sensing system 10 includes a plurality of sensor devices 30, the information processing device 20 executes the above-described process for each of the plurality of sensor devices 30.
  • FIG. 9 is a view showing an example of the alarm image 90 displayed on the information processing apparatus 20. As shown in FIG. When outputting an alarm in S18, the information processing apparatus 20 may display an alarm image 90 as shown in FIG.
  • the information processing apparatus 20 may display the alarm image 90 by pop-up processing used to forcibly notify information, for example, in a state where a standby screen or the like is displayed. Thereby, the information processing apparatus 20 notifies the user that the degree of contamination of the seat 32 (for example, the seat portion, the backrest, or the headrest) is larger than a predetermined value without activating a specific application program. Can.
  • FIG. 10 is a view showing a display example of the information processing apparatus 20.
  • the information processing apparatus 20 executes, for example, a specific application program after executing the processing from step S11 to step S20 on the sensor device 30 attached to the headrest of the seat 32, for example, as shown in FIG. Display an image.
  • the information processing apparatus 20 determines, for example, whether or not an age odor, a mold odor, and a sweat odor are generated. Furthermore, the information processing apparatus 20 also determines the intensity of each of the odor of age, mold and odor of sweat. Then, the information processing device 20 displays information indicating the intensity of each of the odor of age, mold and odor of sweat.
  • the information processing device 20 estimates a time when any of the aging odor, the mold odor and the odor of sweat becomes a predetermined strength.
  • the information processing apparatus 20 displays the estimated time as information indicating the headrest cleaning time.
  • the information processing apparatus 20 may further display a button to be pressed when it is felt that any of an aging odor, a mold odor or a sweat odor is generated from the headrest.
  • the information processing apparatus 20 may have an aging odor button for pressing when it feels that aging odor is generated, a mold odor button for pressing when it is felt that mold odor is generated, and sweat You may display a sweat smell button to press when you feel the smell is occurring.
  • the information processing device 20 acquires the detection result of the odor from the sensor device 30 provided in the vicinity of the headrest.
  • the information processing apparatus 20 updates the reference pattern of the corresponding odor type by learning processing, using the difference pattern calculated based on the detection result as teacher data. For example, the information processing apparatus 20 updates the reference pattern of the aging odor when the aging odor button is pressed, and updates the reference pattern of the mold odor when the mold odor button is pressed, and the sweating When the odor button is pressed, the sweat odor reference pattern is updated. By performing such processing, the information processing apparatus 20 can detect an odor more accurately.
  • the information processing apparatus 20 further displays a button to be pressed when it is felt that the intensity of the predetermined type of odor generated from the headrest is the intensity of the odor emitted when the headrest cleaning time has been reached. It is also good.
  • the button is pressed, the information processing apparatus 20 acquires the detection result of the odor from the sensor device 30 provided in the vicinity of the headrest. Then, the information processing apparatus 20 updates the reference pattern representing the odor having a strength exceeding the threshold value by learning processing, using the difference pattern calculated based on the detection result as teacher data. By performing such processing, the information processing apparatus 20 can more accurately detect whether the intensity of the odor exceeds the threshold.
  • the information processing apparatus 20 may store a threshold for outputting an alarm for each type of odor (for example, for each age-related odor, mold odor or odor of sweat).
  • the information processing apparatus 20 may display a button to be pressed when it is felt that the headrest cleaning time has come, for each type of odor. Then, when any one of these buttons is pressed, the information processing device 20, based on the result of detection of the smell from the sensor device 30, determines that the type of smell corresponding to the pressed button exceeds the threshold value.
  • the reference pattern representing the odor is updated by the learning process.
  • FIG. 11 is a flowchart showing the flow of the process of detecting the smell of a passenger by the information processing apparatus 20.
  • the information processing apparatus 20 may further execute the processing from step S21 to step S27 in FIG. 11 to determine the smell of the passenger.
  • step S ⁇ b> 21 the information processing device 20 determines whether a passenger has got on the vehicle 18. For example, the information processing apparatus 20 determines the timing when the door is opened using the key, the timing when the vehicle 18 is activated using the key, or the timing when the steering wheel is gripped as the timing when the passenger gets on.
  • step S21 When a passenger is not on the vehicle 18 (No in S21), the information processing device 20 stands by for processing in step S21. When a passenger gets on the vehicle 18 (Yes in S21), the information processing device 20 proceeds with the process to step S22.
  • the information processing device 20 identifies a passenger.
  • the information processing apparatus 20 performs face authentication or glow authentication based on an image captured by an on-vehicle camera or the like mounted on the vehicle 18, and authenticates whether the passenger is a pre-registered user. Good.
  • the information processing apparatus 20 may perform fingerprint authentication based on an image captured by a fingerprint image sensor mounted on the vehicle 18, and may authenticate whether the passenger is a user registered in advance.
  • the information processing device 20 proceeds with the process of step S23 and subsequent steps. Further, when the authentication fails, the information processing apparatus 20 may end the process at step S22, or may advance the processes after step S23 without specifying the passenger.
  • step S23 the information processing device 20 acquires, from the sensor device 30, a first pattern representing a detection value indicating the amount of odor causing substance contained in the air that has passed through the filters 34 of at least one detection element. . Subsequently, in step S24, the information processing device 20 indicates a detection value indicating the amount of the odor causing substance contained in the air not passing through the filter 34 of each of the at least one detection element from the sensor device 30. Get 2 patterns.
  • step S25 the information processing apparatus 20 calculates a difference pattern representing the difference between the first pattern and the second pattern.
  • the information processing device 20 represents the difference between the difference pattern of the timing when the rider gets on the vehicle 18 and the difference pattern before the rider gets on the vehicle 18 (when the rider is absent).
  • a difference pattern may be calculated.
  • the information processing apparatus 20 can more accurately detect the odor that is increased as a rider gets on the vehicle 18.
  • step S26 the information processing device 20 detects an odor by matching the difference pattern (or the two-time difference pattern) with the reference pattern. For example, the information processing device 20 determines the type of odor and the intensity of the odor.
  • step S27 the information processing apparatus 20 notifies the application program for health management of the information indicating the determined odor of air together with, for example, the user information on the identified passenger.
  • the application program for physical condition management matches the information which shows the acquired smell with user information, and memorize
  • the application program for health management may determine the physical condition or the health condition of the passenger based on the information indicating the acquired odor, and may display the determination result.
  • FIG. 12 is a view showing a part of the configuration of a sensor device 30 according to a modification.
  • the sensor unit 40 may be configured as shown in FIG. 12 instead of the configuration shown in FIG.
  • a sensor unit 40 according to the modification shown in FIG. 12 includes a first sensor 94 and a second sensor 96. Each of the first sensor 94 and the second sensor 96 has the same configuration as the sensor unit 40 shown in FIG.
  • the first fan 36 takes in air from the outside, passes the taken air through the filter 34, and supplies it to the first sensor 94.
  • the second fan 38 takes in air from the outside and supplies the taken-in air to the second sensor 96 without passing through the filter 34. That is, air that has passed through the filter 34 is supplied to the first sensor 94 but is not supplied to the second sensor 96. Further, air not passing through the filter 34 is supplied to the second sensor 96 but not supplied to the first sensor 94.
  • the sensor device 30 according to the modification has a wall 68 that separates the first fan 36 and the first sensor 94, and the second fan 38 and the second sensor 96.
  • the first sensor 94 detects the amount of the odor causing substance contained in the air blown from the first fan 36 using each of at least one detection element contained therein. Thereby, the first sensor 94 can output a detection value indicating the amount of odor causing substance contained in the air that has passed through the filter 34 of each of the at least one detection element.
  • the second sensor 96 detects the amount of the odor causing substance contained in the air blown from the second fan 38 using each of at least one detection element contained therein. Thereby, the second sensor 96 can output a detection value indicating the amount of the odor causing substance contained in the air not passing through the filter 34 of each of the at least one detection element.
  • the sensing system 10 according to the present embodiment has been described above.
  • Such a sensing system 10 according to the present embodiment has, for example, the following effects.
  • the sensing system 10 can determine an odor (for example, the type and intensity of an odor) originating from the sheet 32 (for example, a seat, a backrest, or a headrest) that is a target object. Then, the sensing system 10 outputs an alarm when the intensity of the odor originating from the target object is larger than the threshold. As a result, the sensing system 10 can surely notify the user that the odor originating from the target object has become strong. Therefore, since the sensing system 10 according to the present embodiment can, for example, allow the user to clean the target object at an appropriate time, it is possible to avoid a situation where dirt is accumulated on the target object and removal becomes difficult. be able to.
  • an odor for example, the type and intensity of an odor
  • the sensing system 10 since the sensing system 10 according to the present embodiment can attach the sensor device 30 in proximity to the target object, the odor of the target object can be determined with certainty. In addition, since the sensing system 10 performs measurement at the timing when no passenger is present, it is possible to accurately determine the odor of the target object by eliminating the smell from the passenger.
  • the sensing system 10 since the sensing system 10 according to the present embodiment estimates a time when a predetermined smell is generated (for example, a time when a predetermined type of odor has a predetermined strength), the user can appropriately target It can clean the object. As a result, the sensing system 10 according to the present embodiment can reduce the burden of cleaning on the user, and can prevent a situation in which dirt is accumulated on the target object and removal thereof becomes difficult.
  • the sensing system 10 can determine the smell of the passenger by measuring the smell at the timing when the passenger enters the vehicle 18.
  • the sensing system 10 includes the sensor device 30 in a space that can be identified by the user such as the vehicle 18, it is possible to identify an individual and determine the smell of a passenger. Thereby, the sensing system 10 can use the detected smell for personal health management information and the like.
  • FIG. 13 is a diagram showing a hardware configuration of the information processing apparatus 20.
  • the information processing apparatus 20 is realized by, for example, the same hardware configuration as a general computer.
  • the information processing apparatus 20 includes a central processing unit (CPU) 201, an operation device 202, a display device 203, a microphone 204, a read only memory (ROM) 205, a random access memory (RAM) 206, and a storage device 207. , A communication device 208, and a bus 209. Each unit is connected by a bus 209.
  • the CPU 201 executes various processes in cooperation with various programs stored in advance in the ROM 205 or the storage device 207 by using a predetermined area of the RAM 206 as a work area, and collectively controls the operations of the units constituting the information processing apparatus 20. .
  • the CPU 201 operates the operation device 202, the display device 203, the microphone 204, the communication device 208, and the like in cooperation with a program stored in advance in the ROM 205 or the storage device 207.
  • the operation device 202 is an input device such as a touch panel, a mouse, and a keyboard, and receives information input from a user as an instruction signal, and outputs the instruction signal to the CPU 201.
  • the display device 203 is a display unit such as an LCD (Liquid Crystal Display).
  • the display device 203 displays various information based on the display signal from the CPU 201. For example, the display device 203 displays the type of odor, the intensity of the odor, the estimated time, and the like.
  • the microphone 204 is a device that receives an audio signal. When recognizing an audio signal recorded in advance or an audio signal input from the communication device 208, the information processing device 20 may not include the microphone 204.
  • the ROM 205 stores a program used to control the information processing apparatus 20, various setting information, and the like in a non-rewritable manner.
  • the RAM 206 is a volatile storage medium such as SDRAM (Synchronous Dynamic Random Access Memory).
  • SDRAM Serial Dynamic Random Access Memory
  • the RAM 206 functions as a work area of the CPU 201.
  • the storage device 207 is a rewritable storage device such as a storage medium made of a semiconductor such as a flash memory, or a storage medium that can be magnetically or optically recorded.
  • the storage device 207 stores a program used to control the information processing device 20.
  • the storage device 207 also functions as a pattern storage unit 78 and a log storage unit 84.
  • the communication device 208 exchanges data with the sensor device 30.
  • the communication device 208 may transmit and receive data to and from a server or the like via a network.
  • the program executed by the information processing apparatus 20 according to the present embodiment is stored, for example, on a computer connected to a network such as the Internet, and is provided by being downloaded via the network. Further, the program executed by the information processing apparatus 20 of the present embodiment may be provided by being incorporated in a portable storage medium or the like in advance.
  • the program executed by the information processing apparatus 20 includes a first acquisition module, a second acquisition module, a difference calculation module, a determination module, an alarm output module, an estimation module, and an information output module. It has a module configuration that includes.
  • the CPU 201 (processor) reads such a program from a storage medium or the like, and loads the respective modules into the RAM 206 (main storage device). Then, the CPU 201 (processor) executes such a program to obtain the first acquisition unit 72, the second acquisition unit 74, the difference calculation unit 76, the determination unit 80, the alarm output unit 82, the estimation unit 86, and the information output. It functions as the section 88. Note that even if part or all of the first acquisition unit 72, the second acquisition unit 74, the difference calculation unit 76, the determination unit 80, the alarm output unit 82, the estimation unit 86, and the information output unit 88 are configured by hardware. Good.

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Abstract

The present invention issues notification that the odor of a target object has intensified. The sensing system according to the present invention is provided with: a sensor device including at least one detection element for detecting the amount of an odor-causing substance included in air in the vicinity of a target object; and an information processing device having a determination unit for determining the intensity of the odor of the air in the vicinity of the target object on the basis of a pattern indicating detection values of each of the at least one detection element, and an alarm output unit for outputting an alarm when the intensity of the odor of the air in the vicinity of the target object is greater than a pre-set threshold value.

Description

センシングシステム、プログラム、情報処理装置および情報処理方法Sensing system, program, information processing apparatus and information processing method

 本発明は、センシングシステム、プログラム、情報処理装置および情報処理方法に関する。 The present invention relates to a sensing system, a program, an information processing apparatus, and an information processing method.

 近年、匂いセンサ素子の開発が広く行われている。例えば、匂いセンサ素子として、水晶振動子の表面に、匂いの原因物質を吸着する膜を設けたQCM(Quartz Crystal Microbalance)センサが知られている。ATカットされた水晶振動子は、質量変化により共振周波数が変化する。QCMセンサは、ATカットされた水晶振動子を振動させて共振周波数の変化量を検出することにより、原因物質の質量を検出する。 In recent years, odor sensor elements have been widely developed. For example, as an odor sensor element, a QCM (Quartz Crystal Microbalance) sensor in which a film that adsorbs odor causing substances is provided on the surface of a quartz oscillator is known. In the AT-cut quartz oscillator, the resonance frequency changes due to the mass change. The QCM sensor detects the mass of the causative substance by vibrating the AT-cut quartz oscillator and detecting the amount of change in the resonance frequency.

 また、それぞれが異なる原因物質の質量を検出する複数の匂いセンサ素子を備えるセンサ装置も知られている。このようなセンサ装置は、複数の原因物質のそれぞれの質量を出力することができる。情報処理装置は、このようなセンサ装置から出力された複数の原因物質のそれぞれの量を受け取り、受け取った複数の原因物質のそれぞれの量のパターンを予め登録されたパターンと比較する。これにより、情報処理装置は、匂いの種類を特定することができる。 There is also known a sensor device provided with a plurality of odor sensor elements each detecting the mass of a different cause substance. Such a sensor device can output the mass of each of a plurality of causal substances. The information processing apparatus receives each amount of the plurality of causative substances output from such a sensor device, and compares the pattern of each amount of the plurality of causative substances received with the pattern registered in advance. Thus, the information processing apparatus can identify the type of odor.

 このようなセンサ装置は、例えば、IOT(Internet of Things)技術等の情報処理技術と組み合わせることにより、例えば、室内または車両内の環境の管理、食品の衛生管理、工場の工程管理、および、人間またはペット等の体調管理等に適用することができる。 Such a sensor device is combined with, for example, information processing technology such as IOT (Internet of Things) technology, for example, management of the environment in the room or in the vehicle, food hygiene management, factory process control, and human beings Or it can apply to physical condition management of a pet etc.

 特許文献1および特許文献2には、空気清浄装置のフィルタの交換時期を通知する技術が記載されている。特許文献3には、車両内の匂いに応じて車両の中の環境を制御する技術が記載されている。 Patent Document 1 and Patent Document 2 describe a technique for notifying of the time to replace the filter of the air cleaning device. Patent Document 3 describes a technique for controlling the environment in a vehicle according to the odor in the vehicle.

特開平11-156131号公報Japanese Patent Application Laid-Open No. 11-156131 特開2000-210518号公報JP 2000-210518 A 特開2016-199098号公報JP, 2016-199098, A

 ところで、車両の中の空間は、非常に狭く、密閉され、乗車者が長期間滞在する。このため、車両の中は、匂いが強くなる可能性が高い。車両の中の空間の匂いは、シートの汚れが原因の一つである。シートの汚れは、蓄積量が増えると除去が難しい。 By the way, the space in the vehicle is very narrow and sealed, and the passenger stays for a long time. For this reason, the inside of the vehicle is likely to have a strong smell. The smell of space in the vehicle is one of the causes of the dirt on the seat. The dirt on the sheet is difficult to remove as the accumulated amount increases.

 しかし、乗車者本人は、シートの汚れにより車両の中の空間の匂いが強くなったことを気づきにくい。従って、シートの汚れに気づいたときには、クリーニングしてもシートの汚れを除去しづらい状況となってしまう可能性がある。このため、シートの匂いが強くなったことを検出して通知することが要求される。 However, it is difficult for the passenger himself to notice that the dirt in the seat has enhanced the smell of the space in the vehicle. Therefore, when it is noticed that the sheet is stained, there is a possibility that it becomes difficult to remove the sheet dirt even if it is cleaned. For this reason, it is required to detect and notify that the smell of the sheet has become strong.

 本発明は、上記に鑑みてなされたものであって、対象物体の匂いが強くなったことを通知することができるセンシングシステム、プログラム、情報処理装置および情報処理方法を提供することを目的とする。 The present invention has been made in view of the above, and it is an object of the present invention to provide a sensing system, a program, an information processing apparatus, and an information processing method capable of notifying that the smell of a target object has become strong. .

 上述した課題を解決し、目的を達成するために、本発明に係るセンシングシステムは、対象物体の近傍の空気に含まれる匂いの原因物質の量を検出する少なくとも1つの検出素子を含むセンサ装置と、前記少なくとも1つの検出素子のそれぞれの検出値を表すパターンに基づき、前記対象物体の近傍の空気の匂いの強さを判定する判定部と、前記対象物体の近傍の空気の匂いの強さが予め定められた閾値より大きい場合にアラームを出力するアラーム出力部とを有する情報処理装置と、を備える。 In order to solve the problems described above and to achieve the object, a sensing system according to the present invention includes a sensor device including at least one detection element that detects an amount of odor causing substance contained in air in the vicinity of a target object. A determination unit that determines the intensity of the odor of air in the vicinity of the target object based on a pattern representing the detection value of each of the at least one detection element; and the intensity of the odor of air in the vicinity of the target object And an information processing apparatus having an alarm output unit that outputs an alarm when the threshold value is larger than a predetermined threshold.

 本発明によれば、対象物体の匂いが強くなったことを通知することができる。 According to the present invention, it can be notified that the smell of the target object has become strong.

図1は、実施形態に係るセンシングシステムを示す図である。FIG. 1 is a diagram showing a sensing system according to an embodiment. 図2は、センサ装置の構成を示す図である。FIG. 2 is a diagram showing the configuration of the sensor device. 図3は、センサユニットの構成の一例を示す図である。FIG. 3 is a diagram showing an example of the configuration of the sensor unit. 図4は、匂いの判定処理を説明するための図である。FIG. 4 is a diagram for explaining the odor determination process. 図5は、第1モードでの空気の流れを示す図である。FIG. 5 is a diagram showing the flow of air in the first mode. 図6は、第2モードでの空気の流れを示す図である。FIG. 6 is a diagram showing the flow of air in the second mode. 図7は、情報処理装置の機能構成を示す図である。FIG. 7 is a diagram showing a functional configuration of the information processing apparatus. 図8は、情報処理装置による匂いの検出処理の流れの一例を示すフローチャートである。FIG. 8 is a flowchart showing an example of the flow of odor detection processing by the information processing apparatus. 図9は、情報処理装置のアラーム画像の表示例を示す図である。FIG. 9 is a view showing a display example of an alarm image of the information processing apparatus. 図10は、情報処理装置の表示例を示す図である。FIG. 10 is a diagram showing a display example of the information processing apparatus. 図11は、情報処理装置による乗車者の匂いの検出処理の流れを示すフローチャートである。FIG. 11 is a flowchart showing the flow of the process of detecting the smell of a passenger by the information processing apparatus. 図12は、変形例に係るセンサ装置の構成の一部を示す図である。FIG. 12 is a view showing a part of the configuration of a sensor device according to a modification. 図13は、情報処理装置のハードウェア構成を示す図である。FIG. 13 is a diagram showing a hardware configuration of the information processing apparatus.

 以下、図面を参照しながら本実施形態に係るセンシングシステム10について説明する。 Hereinafter, the sensing system 10 according to the present embodiment will be described with reference to the drawings.

 図1は、実施形態に係るセンシングシステム10を示す図である。センシングシステム10は、対象物体を発生源とする匂いが強くなったことをアラームにより通知する。本実施形態において、センシングシステム10は、車両18に適用される。車両18に適用されたセンシングシステム10は、車両18の中(車内)のシート32を発生源とする匂いを検出する。なお、センシングシステム10は、車両18内のシート32に限らず、他の装置に適用されてもよい。例えば、センシングシステム10は、ベッド、椅子またはトイレ等を発生源とする匂いを検出してもよい。 FIG. 1 is a diagram showing a sensing system 10 according to the embodiment. The sensing system 10 notifies by an alarm that the odor originating from the target object is intensified. In the present embodiment, the sensing system 10 is applied to a vehicle 18. The sensing system 10 applied to the vehicle 18 detects an odor originating from the seat 32 in the vehicle 18 (inside the vehicle). Sensing system 10 may be applied not only to seat 32 in vehicle 18 but also to other devices. For example, the sensing system 10 may detect an odor originating from a bed, a chair or a toilet.

 センシングシステム10は、情報処理装置20と、少なくとも1つのセンサ装置30とを備える。 The sensing system 10 includes an information processing device 20 and at least one sensor device 30.

 情報処理装置20は、データ処理機能、通信機能および表示機能を有するコンピュータである。例えば、情報処理装置20は、例えば、スマートフォン、タブレット、ウェアラブルコンピュータ、携帯電話またはノート型パソコン等のコンピュータである。また、情報処理装置20は、車両18の内部に設けられた専用または汎用のコンピュータであってもよい。また、情報処理装置20は、通信装置を介して接続可能なサーバ等であってもよい。情報処理装置20は、車両18を使用するユーザ(乗車者)により使用される。 The information processing device 20 is a computer having a data processing function, a communication function, and a display function. For example, the information processing apparatus 20 is a computer such as, for example, a smartphone, a tablet, a wearable computer, a mobile phone, or a laptop computer. In addition, the information processing device 20 may be a dedicated or general-purpose computer provided inside the vehicle 18. In addition, the information processing device 20 may be a server or the like connectable via a communication device. The information processing device 20 is used by a user (a passenger) who uses the vehicle 18.

 少なくとも1つのセンサ装置30のそれぞれは、少なくとも1つの検出素子を含む。少なくとも1つの検出素子のそれぞれは、空気に含まれる匂いを感じさせる匂いの原因物質の量を検出する。検出素子は、原因物質の量として、原因物質の質量を検出する。これに代えて、検出素子は、原因物質の量として、原因物質の体積または分子量を検出してもよい。 Each of the at least one sensor device 30 comprises at least one detection element. Each of the at least one detection element detects the amount of odor causing substance that causes the smell contained in the air. The detection element detects the mass of the causative substance as the amount of the causative substance. Alternatively, the detection element may detect the volume or molecular weight of the causative substance as the quantity of the causative substance.

 センサ装置30は、内蔵する少なくとも1つの検出素子のそれぞれの検出値を表す信号を、無線通信により情報処理装置20に送信する。例えば、センサ装置30は、IEEE802.11等の無線LAN(Local Area Network)またはIEEE802.15等のデジタル機器用の近距離無線通信等により情報処理装置20と通信可能である。また、情報処理装置20が車両18の中に設けられた専用または汎用のコンピュータである場合には、センサ装置30は、内蔵する少なくとも1つの検出素子のそれぞれの検出値を表す信号を、有線通信により情報処理装置20に送信してもよい。 The sensor device 30 transmits a signal representing a detection value of each of at least one built-in detection element to the information processing device 20 by wireless communication. For example, the sensor device 30 can communicate with the information processing device 20 by wireless LAN (Local Area Network) such as IEEE 802.11 or short distance wireless communication for digital devices such as IEEE 802.15. In addition, when the information processing device 20 is a dedicated or general-purpose computer provided in the vehicle 18, the sensor device 30 performs wired communication of signals representing detection values of at least one of the built-in detection elements. May be transmitted to the information processing apparatus 20.

 少なくとも1つのセンサ装置30のそれぞれは、車両18の中におけるシート32に近接して取り付けられる。センサ装置30は、例えば、シート32における、座部、背もたれまたはヘッドレストの何れかに近接して取り付けられる。これにより、センサ装置30は、シート32(例えば、座部、背もたれまたはヘッドレスト)を発生源とする原因物質の量を検出することができる。 Each of the at least one sensor device 30 is mounted proximate to the seat 32 in the vehicle 18. The sensor device 30 is mounted, for example, on the seat 32 in close proximity to either a seat, a backrest or a headrest. Thus, the sensor device 30 can detect the amount of the causative substance originating from the seat 32 (for example, a seat, a backrest or a headrest).

 車両18が複数のシート32を備える場合、センシングシステム10は、複数のシート32のそれぞれに対応して複数のセンサ装置30を備えてもよい。また、センシングシステム10は、シート32における座部、背もたれまたはヘッドレストのそれぞれに対応して複数のセンサ装置30を備えてもよい。 When the vehicle 18 includes a plurality of seats 32, the sensing system 10 may include a plurality of sensor devices 30 corresponding to each of the plurality of seats 32. The sensing system 10 may also include a plurality of sensor devices 30 corresponding to the seat, the backrest, or the headrest in the seat 32, respectively.

 情報処理装置20は、少なくとも1つのセンサ装置30のそれぞれから、少なくとも1つの検出素子のそれぞれの検出値を表す信号を受信する。情報処理装置20は、少なくとも1つのセンサ装置30のそれぞれについて、受信した少なくとも1つの検出素子のそれぞれの検出値に基づき、対象のセンサ装置30が取り付けられた周囲の空気の匂いを検出する。例えば、情報処理装置20は、取り付け位置の周囲の空気の匂いの種類および強度を判定する。続いて、情報処理装置20は、取り付け位置の周囲の空気の匂いの強さを予め定められた閾値と比較する。そして、情報処理装置20は、取り付け位置の周囲の空気の匂いの強さが閾値より大きい場合にアラームを出力する。例えば、情報処理装置20は、取り付け位置の周囲の空気の匂いの強さの判定および閾値との比較を、所定時間毎に行う。 The information processing device 20 receives, from each of the at least one sensor device 30, a signal representing a detected value of each of the at least one detection element. The information processing device 20 detects, for each of the at least one sensor device 30, the odor of the surrounding air to which the target sensor device 30 is attached, based on the received detection value of the at least one detection element. For example, the information processing apparatus 20 determines the type and the intensity of the odor of air around the mounting position. Subsequently, the information processing device 20 compares the intensity of the odor of air around the mounting position with a predetermined threshold. Then, the information processing device 20 outputs an alarm when the intensity of the odor of air around the mounting position is larger than the threshold. For example, the information processing apparatus 20 performs the determination of the intensity of the odor of the air around the mounting position and the comparison with the threshold at predetermined time intervals.

 また、情報処理装置20は、検出した匂いに基づき、センサ装置30が取り付けられたシート32(座部、背もたれまたはヘッドレスト)の匂いを表す情報を出力してもよい。例えば、情報処理装置20は、取り付けられたシート32(座部、背もたれまたはヘッドレスト)の匂いの種類および強さを表す情報を出力する。さらに、情報処理装置20は、過去における匂いの判定結果に基づき、センサ装置30が取り付けられたシート32(座部、背もたれまたはヘッドレスト)のクリーニング時期を推定して出力してもよい。 Further, the information processing device 20 may output information representing the smell of the seat 32 (seat, backrest or headrest) to which the sensor device 30 is attached, based on the detected smell. For example, the information processing apparatus 20 outputs information indicating the type and strength of the odor of the attached seat 32 (seat, backrest or headrest). Furthermore, the information processing device 20 may estimate and output the cleaning time of the seat 32 (seat, backrest, or headrest) to which the sensor device 30 is attached, based on the result of the odor determination in the past.

 図2は、センサ装置30の構成を示す図である。センサ装置30は、例えば、片手で持ち運び可能な程度の大きさである。例えば、センサ装置30は、1辺が数mmから数cm程度の大きさの筐体内に収納される。センサ装置30の形状は一例であり、どのようであってもよい。 FIG. 2 is a diagram showing the configuration of the sensor device 30. As shown in FIG. The sensor device 30 has, for example, a size that can be carried by one hand. For example, the sensor device 30 is housed in a housing having a size of several mm to several cm on one side. The shape of the sensor device 30 is an example, and may be any shape.

 センサ装置30は、フィルタ34と、第1ファン36と、第2ファン38と、センサユニット40と、通信部48と、制御部50と、電池52とを有する。 The sensor device 30 includes a filter 34, a first fan 36, a second fan 38, a sensor unit 40, a communication unit 48, a control unit 50, and a battery 52.

 フィルタ34は、空気を通過させ、通過させた空気から匂いの原因物質を除去する。フィルタ34は、検出対象の少なくとも1つの匂いの原因物質を除去する。なお、フィルタ34は、検出対象の少なくとも1つの匂いの原因物質のうちの一部の匂いの原因物質を除去してもよい。 The filter 34 allows air to pass through and removes odor causing substances from the passed air. The filter 34 removes at least one odor causing substance to be detected. The filter 34 may remove some odor causing substances out of at least one odor causing substance to be detected.

 第1ファン36は、空気を取り込んで、取り込んだ空気をフィルタ34を通過させてセンサユニット40に供給する。例えば、第1ファン36は、フィルタ34とセンサユニット40との間に配置され、フィルタ34を通過した空気をセンサユニット40に送り出す。なお、センサ装置30は、第1ファン36の空気の取り込み口が、対象物体(例えば、シート32の座部、背もたれまたはヘッドレスト)の近傍に位置するように配置される。第1ファン36は、対象物体の近傍から空気を取り込んで、フィルタ34を通過させてセンサユニット40に供給する。これにより、第1ファン36は、対象物体に付着していた微小物質を含む空気を取り込んで、フィルタ34を通過させてセンサユニット40に供給することができる。 The first fan 36 takes in air and passes the taken air through the filter 34 to supply it to the sensor unit 40. For example, the first fan 36 is disposed between the filter 34 and the sensor unit 40, and delivers the air that has passed through the filter 34 to the sensor unit 40. In addition, the sensor apparatus 30 is arrange | positioned so that the intake port of the air of the 1st fan 36 may be located in the vicinity of a target object (for example, the seat part of a sheet | seat 32, a backrest, or a headrest). The first fan 36 takes in air from the vicinity of the target object, passes through the filter 34, and supplies it to the sensor unit 40. Thereby, the first fan 36 can take in the air containing the minute substance attached to the target object, pass through the filter 34, and can be supplied to the sensor unit 40.

 第2ファン38は、空気を取り込んで、取り込んだ空気をフィルタ34を通過させずにセンサユニット40に供給する。例えば、第2ファン38は、空気の取り込み口とセンサユニット40との間に配置され、フィルタ34を通過していない空気をセンサユニット40に送り出す。なお、センサ装置30は、第2ファン38の空気の取り込み口が、対象物体(例えば、シート32の座部、背もたれまたはヘッドレスト)の近傍に位置するように配置される。第2ファン38は、対象物体の近傍から空気を取り込んで、フィルタ34を通過させずにセンサユニット40に供給する。これにより、第2ファン38は、対象物体に付着していた微小物質を含む空気を取り込んで、フィルタ34を通過させずにセンサユニット40に供給することができる。 The second fan 38 takes in air and supplies the taken-in air to the sensor unit 40 without passing through the filter 34. For example, the second fan 38 is disposed between the air intake and the sensor unit 40, and sends out the air not passing through the filter 34 to the sensor unit 40. In addition, the sensor apparatus 30 is arrange | positioned so that the intake port of the air of the 2nd fan 38 may be located in the vicinity of a target object (for example, the seat part of a sheet | seat 32, a backrest, or a headrest). The second fan 38 takes in air from the vicinity of the target object and supplies the air to the sensor unit 40 without passing through the filter 34. As a result, the second fan 38 can take in the air containing the minute substance attached to the target object, and can supply the air to the sensor unit 40 without passing through the filter 34.

 センサユニット40は、上述の検出素子を少なくとも1つ含む。センサユニット40には、フィルタ34を通過した空気と、フィルタ34を通過していない空気とが異なるタイミングで与えられる。少なくとも1つの検出素子のそれぞれは、フィルタ34を通過した空気が与えられた場合に、匂いの原因物質の量を検出する。さらに、少なくとも1つの検出素子のそれぞれは、フィルタ34を通過していない空気が与えられた場合にも、匂いの原因物質の量を検出する。 The sensor unit 40 includes at least one of the above-described detection elements. The air passed through the filter 34 and the air not passed through the filter 34 are provided to the sensor unit 40 at different times. Each of the at least one detection element detects the amount of odor causing substance when air passed through the filter 34 is provided. Furthermore, each of the at least one detection element detects the amount of odor causing substance even when air not passing through the filter 34 is provided.

 センサユニット40は、少なくとも1つの検出素子のそれぞれのフィルタ34を通過した空気に含まれる匂いの原因物質の量を示す検出値、および、少なくとも1つの検出素子のそれぞれのフィルタ34を通過していない空気に含まれる匂いの原因物質の量を示す検出値を出力する。具体的には、センサユニット40は、第1ファン36から送風されたフィルタ34を通過した空気が与えられた場合における少なくとも1つの検出素子のそれぞれの検出値、および、第2ファン38から送風されたフィルタ34を通過していない空気が与えられた場合における少なくとも1つの検出素子のそれぞれの検出値を出力する。 The sensor unit 40 does not pass through the filter 34 of the at least one detection element and the detection value indicating the amount of the odor causing substance contained in the air that has passed through the filter 34 of each of the at least one detection element. It outputs a detected value indicating the amount of odor causing substance contained in the air. Specifically, the sensor unit 40 receives air from each of the at least one detection element when air passed through the filter 34 blown from the first fan 36 is supplied, and is blown from the second fan 38. When air not passing through the filter 34 is given, the detected value of each of the at least one detection element is output.

 なお、センサユニット40が複数の検出素子を含む場合、複数の検出素子は、互いに異なる種類の素子である。 When the sensor unit 40 includes a plurality of detection elements, the plurality of detection elements are elements of different types.

 例えば、センサユニット40に含まれる何れか2つの検出素子は、互いに異なる種類の匂いの原因物質の量を検出する。例えば、第1の検出素子は、物質Xの量を検出し、第2の検出素子は、物質Yの量を検出する。また、例えば、センサユニット40に含まれる何れか2つの検出素子は、同一の種類の匂いの原因物質の量を、異なる感度で検出してもよい。例えば、第1の検出素子は、物質Xの量を第1の感度で検出し、第2の検出素子は、物質Xの量を第1の感度より低い第2の感度で検出する。 For example, any two detection elements included in the sensor unit 40 detect the amount of odor causing substances of different types. For example, the first detection element detects the amount of substance X, and the second detection element detects the amount of substance Y. Also, for example, any two detection elements included in the sensor unit 40 may detect the amount of odor-causing substance of the same type with different sensitivities. For example, the first detection element detects the amount of substance X at a first sensitivity, and the second detection element detects the amount of substance X at a second sensitivity lower than the first sensitivity.

 また、例えば、センサユニット40に含まれる何れか2つの検出素子は、互いに異なる種類の組み合わせの複数の匂いの原因物質の量を検出してもよい。例えば、第1の検出素子は、物質Xと物質Yとの合計量を検出し、第2の検出素子は、物質Xと物質Zとの合計量を検出する。また、例えば、センサユニット40に含まれる何れか2つの検出素子は、同一の種類の組み合わせの複数の匂いの原因物質の量を、異なる感度で検出してもよい。例えば、第1の検出素子は、物質Xと物質Yとの合計量を第1の感度で検出し、第2の検出素子は、物質Xと物質Yとの合計量を第1の感度より低い第2の感度で検出してもよい。 Also, for example, any two detection elements included in the sensor unit 40 may detect the amount of a plurality of odor causing substances of combinations of different types. For example, the first detection element detects the total amount of substance X and substance Y, and the second detection element detects the total amount of substance X and substance Z. Also, for example, any two detection elements included in the sensor unit 40 may detect the amounts of the odor causing substances of the plurality of combinations of the same type with different sensitivities. For example, the first detection element detects the total amount of the substance X and the substance Y at a first sensitivity, and the second detection element detects the total amount of the substance X and the substance Y lower than the first sensitivity It may be detected at the second sensitivity.

 通信部48は、センサユニット40により検出された信号を情報処理装置20に送信する。すなわち、通信部48は、少なくとも1つの検出素子のそれぞれのフィルタ34を通過した空気に含まれる匂いの原因物質の量を示す検出値を表す信号、および、少なくとも1つの検出素子のそれぞれのフィルタ34を通過していない空気に含まれる匂いの原因物質の量を示す検出値を表す信号を情報処理装置20に送信する。 The communication unit 48 transmits the signal detected by the sensor unit 40 to the information processing apparatus 20. That is, the communication unit 48 outputs a signal representing a detection value indicating the amount of odor causing substance contained in the air that has passed through the filter 34 of each of the at least one detection element, and the filter 34 of each of the at least one detection element. A signal representing a detected value indicating the amount of the odor causing substance contained in the air not passing through is transmitted to the information processing apparatus 20.

 制御部50は、第1ファン36、第2ファン38、センサユニット40および通信部48の動作を管理および制御する。例えば、制御部50は、第1ファン36および第2ファン38の動作開始タイミングおよび動作終了タイミングを制御する。 The control unit 50 manages and controls the operations of the first fan 36, the second fan 38, the sensor unit 40, and the communication unit 48. For example, the control unit 50 controls the operation start timing and the operation end timing of the first fan 36 and the second fan 38.

 電池52は、第1ファン36、第2ファン38、通信部48および制御部50へ動作電力を供給する。なお、センサ装置30は、電池52に代えて、車両18に備えられた電力源を取得する電力取得部を有してもよい。電力取得部は、第1ファン36、第2ファン38、センサユニット40、通信部48および制御部50へ動作電力を供給する。 The battery 52 supplies operating power to the first fan 36, the second fan 38, the communication unit 48 and the control unit 50. The sensor device 30 may have a power acquisition unit that acquires a power source provided in the vehicle 18 instead of the battery 52. The power acquisition unit supplies operating power to the first fan 36, the second fan 38, the sensor unit 40, the communication unit 48, and the control unit 50.

 図3は、センサユニット40の構成を示す図である。本実施形態において、センサユニット40は、空気に含まれる微小物質の質量を検出可能なQCMセンサである。なお、センサユニット40は、QCMセンサに限らず、半導体薄膜を用いたガスセンサ等の他の方式のセンサであってもよい。 FIG. 3 is a diagram showing the configuration of the sensor unit 40. As shown in FIG. In the present embodiment, the sensor unit 40 is a QCM sensor capable of detecting the mass of the minute substance contained in the air. The sensor unit 40 is not limited to the QCM sensor, but may be another type of sensor such as a gas sensor using a semiconductor thin film.

 本実施形態において、センサユニット40は、支持部58と、少なくとも1つのガス検出素子60と、駆動検出回路62とを有する。支持部58は、少なくとも1つのガス検出素子60のそれぞれが取り付けられる。 In the present embodiment, the sensor unit 40 has a support portion 58, at least one gas detection element 60, and a drive detection circuit 62. The support portion 58 is attached with each of at least one gas detection element 60.

 ガス検出素子60は、検出素子の一例である。図3の例では、センサユニット40は、異なる種類の6個のガス検出素子60-A~60-Fを有する。例えば、6個のガス検出素子60-A~60-Fのそれぞれは、異なる種類の匂いの原因物質を検出する。 The gas detection element 60 is an example of a detection element. In the example of FIG. 3, the sensor unit 40 has six gas detection elements 60-A to 60-F of different types. For example, each of the six gas detection elements 60-A to 60-F detects different types of odor causing substances.

 少なくとも1つのガス検出素子60のそれぞれは、圧電効果により振動可能にカットされた水晶振動子と、水晶振動子の両側の平面に設けられた2つの電極と、水晶振動子の平面の少なくとも一方に設けられた吸着膜とを含む。 Each of the at least one gas detection element 60 includes at least one of a quartz crystal vibrator which is vibratably cut by a piezoelectric effect, two electrodes provided on flat surfaces on both sides of the quartz crystal vibrator, and a flat surface of the quartz crystal vibrator. And an adsorption film provided.

 水晶振動子は、側面の一部が、振動可能に支持部58に保持される。2つの電極は、駆動検出回路62から交流電圧が印加される。吸着膜は、周囲の空気に含まれる特定の検出素子を吸着する。少なくとも1つのガス検出素子60のそれぞれは、互いに異なる物質を吸着する吸着膜を含む。具体的には、少なくとも1つのガス検出素子60のそれぞれは、センサ装置30の検出対象となる検出素子を吸着する吸着膜を含む。 A part of the side surface of the crystal unit is vibratably held by the support 58. An alternating voltage is applied to the two electrodes from the drive detection circuit 62. The adsorption film adsorbs a specific detection element contained in the surrounding air. Each of the at least one gas detection element 60 includes an adsorption film that adsorbs different substances. Specifically, each of the at least one gas detection element 60 includes an adsorption film that adsorbs the detection element to be detected by the sensor device 30.

 このようなガス検出素子60は、2つの電極に共振周波数の交流電圧が印加されると、圧電効果により水晶振動子が振動する。水晶振動子の基本共振周波数は、質量および粘弾性により定まる。従って、吸着膜に検出素子が吸着されて質量が変化した場合、ガス検出素子60は、吸着した質量の変化に応じて、基本共振周波数が変化する。 In such a gas detection element 60, when an alternating voltage at a resonance frequency is applied to the two electrodes, the crystal oscillator vibrates due to the piezoelectric effect. The fundamental resonant frequency of the quartz oscillator is determined by mass and visco-elasticity. Therefore, when the detection element is adsorbed to the adsorption film and the mass changes, the basic resonance frequency of the gas detection element 60 changes according to the change of the adsorbed mass.

 駆動検出回路62は、第1ファン36または第2ファン38の送風時において、少なくとも1つのガス検出素子60のそれぞれに交流電圧を印加して、少なくとも1つのガス検出素子60のそれぞれの基本共振周波数の変化を検出する。これにより、駆動検出回路62は、少なくとも1つのガス検出素子60のそれぞれ毎に、第1ファン36または第2ファン38による送風により与えられた空気に含まれる匂いの原因物質の質量を検出することができる。駆動検出回路62は、検出値を通信部48に与える。 The drive detection circuit 62 applies an alternating voltage to each of the at least one gas detection element 60 when the first fan 36 or the second fan 38 blows, and the fundamental resonance frequency of each of the at least one gas detection element 60 To detect changes in Thus, the drive detection circuit 62 detects, for each of the at least one gas detection element 60, the mass of the odor-causing substance contained in the air given by the air blowing from the first fan 36 or the second fan 38. Can. The drive detection circuit 62 supplies the detected value to the communication unit 48.

 図4は、匂いの判定処理を説明するための図である。 FIG. 4 is a diagram for explaining the odor determination process.

 情報処理装置20は、少なくとも1つの検出素子のそれぞれの検出値を表す信号をセンサ装置30から取得する。例えば、図4の例においては、情報処理装置20は、ガス検出素子60-A、ガス検出素子60-B、ガス検出素子60-C、ガス検出素子60-D、ガス検出素子60-Eおよびガス検出素子60-Fのそれぞれの検出値を表す信号を取得する。 The information processing device 20 acquires, from the sensor device 30, a signal representing a detection value of each of at least one detection element. For example, in the example of FIG. 4, the information processing apparatus 20 includes a gas detection element 60-A, a gas detection element 60-B, a gas detection element 60-C, a gas detection element 60-D, a gas detection element 60-E and A signal representing each detected value of the gas detection element 60-F is acquired.

 また、情報処理装置20は、所定の種類の匂いが発生した場合に取得される、少なくとも1つの検出素子のそれぞれの検出値を表す基準パターンを記憶している。例えば、図4の例においては、情報処理装置20は、加齢臭、カビ臭および汗の匂いのそれぞれが検出された場合におけるガス検出素子60-A~60-Fのそれぞれの検出値を表す基準パターンを記憶している。 In addition, the information processing device 20 stores reference patterns representing detection values of at least one detection element, which are acquired when a predetermined type of odor occurs. For example, in the example of FIG. 4, the information processing apparatus 20 represents the detection values of the gas detection elements 60 -A to 60 -F when each of the aging odor, the mold odor and the odor of sweat is detected. The reference pattern is stored.

 情報処理装置20は、センサ装置30から取得した信号に含まれる、少なくとも1つの検出素子のそれぞれの検出値を表す検出パターンと、予め記憶している所定の種類の匂いが発生した場合の少なくとも1つの検出素子のそれぞれの検出値を表す基準パターンとをマッチングする。そして、情報処理装置20は、センサ装置30から取得した検出パターンが、基準パターンとマッチングする場合、センサ装置30に与えられた空気の匂いが、所定の種類の匂いであると判定する。情報処理装置20は、複数の種類の匂いについて基準パターンを記憶しておき、1つの検出パターンが何れの匂いの基準パターンにマッチングするかを判定してもよい。例えば、図4の例においては、情報処理装置20は、センサ装置30に与えられた空気の匂いが、カビ臭であると判定している。 The information processing device 20 detects at least one of detection patterns representing detection values of at least one detection element included in a signal acquired from the sensor device 30 and a predetermined type of smell stored in advance. The reference pattern representing the detection value of each of the two detection elements is matched. Then, when the detection pattern acquired from the sensor device 30 matches the reference pattern, the information processing device 20 determines that the odor of air given to the sensor device 30 is a predetermined type of odor. The information processing apparatus 20 may store reference patterns for a plurality of types of odors, and determine to which odor reference pattern one detected pattern matches. For example, in the example of FIG. 4, the information processing device 20 determines that the odor of air given to the sensor device 30 is a musty odor.

 さらに、情報処理装置20は、それぞれの種類の匂いについて、匂いの強さもマッチングにより判定してもよい。例えば、情報処理装置20は、匂いの種類毎且つ匂いの強さ毎に基準パターンを記憶しておき、センサ装置30から取得した検出パターンと、予め記憶している匂いの種類毎且つ匂いの強さ毎の基準パターンとをマッチングしてもよい。 Furthermore, the information processing apparatus 20 may also determine the intensity of the odor by matching for each type of odor. For example, the information processing apparatus 20 stores the reference pattern for each type of odor and for each intensity of the odor, and detects the detection pattern acquired from the sensor device 30, for each type of odor stored in advance, and the intensity of the odor May be matched with each reference pattern.

 また、情報処理装置20は、所定の種類の匂いが発生しているとユーザが感じた時に得られた検出パターンを教師データとして、予め記憶している基準パターンを、学習処理により更新してもよい。情報処理装置20は、複数の匂いの種類毎および匂いの強さ毎の基準パターンをサーバ等から定期的に取得して、記憶している基準パターンを更新してもよい。 In addition, even if the information processing apparatus 20 updates the reference pattern stored in advance as learning data, using the detection pattern obtained when the user feels that the predetermined type of odor is generated, as learning data Good. The information processing apparatus 20 may periodically acquire, from the server or the like, a reference pattern for each of a plurality of odor types and odor intensities, and update the stored reference patterns.

 情報処理装置20は、このようなパターンマッチングに代えて、他の方法で匂いの種類および強さを判定してもよい。例えば、情報処理装置20は、ニューラルネットワーク等の技術を用いて匂いの種類および匂いの強さを判定してもよい。 The information processing apparatus 20 may determine the type and strength of the odor by another method instead of such pattern matching. For example, the information processing device 20 may determine the type of odor and the intensity of the odor using a technique such as a neural network.

 なお、図4の例では、センサ装置30が、6種類のガス検出素子60-A~60-Fの検出値を出力する例を示している。しかし、センサ装置30は、6種類よりも少ない数、または、6種類よりも多い数の検出素子の検出値を出力してもよい。また、図4の例では、加齢臭、カビ臭および汗の匂いを判定する例を示している。しかし、情報処理装置20は、これら以外の匂いを判定してもよい。また、本実施形態のセンサ装置30は、1個の検出素子の検出値を出力してもよい。 In the example of FIG. 4, an example is shown in which the sensor device 30 outputs detection values of six types of gas detection elements 60-A to 60-F. However, the sensor device 30 may output detection values of the number of detection elements smaller than six or more than six. Moreover, in the example of FIG. 4, the example which determines the smell of an aging smell, a musty smell, and a sweat is shown. However, the information processing apparatus 20 may determine odors other than these. Moreover, the sensor apparatus 30 of this embodiment may output the detection value of one detection element.

 ここで、センサ装置30は、少なくとも1つの検出素子のそれぞれのフィルタ34を通過した空気に含まれる匂いの原因物質の量を示す検出値、および、少なくとも1つの検出素子のそれぞれのフィルタ34を通過していない空気に含まれる匂いの原因物質の量を示す検出値を出力する。そして、センサ装置30は、これらの検出値を情報処理装置20へと出力する。 Here, the sensor device 30 passes through the detection value indicating the amount of odor causing substance contained in the air that has passed through the filter 34 of each of the at least one detection element, and the filter 34 of each of the at least one detection element. It outputs a detected value that indicates the amount of odor-causing substance contained in air. Then, the sensor device 30 outputs these detected values to the information processing device 20.

 情報処理装置20は、少なくとも1つの検出素子のそれぞれのフィルタ34を通過した空気に含まれる匂いの原因物質の量を示す検出値を表す第1パターンと、少なくとも1つの検出素子のそれぞれのフィルタ34を通過していない空気に含まれる匂いの原因物質の量を示す検出値を表す第2パターンとの差分を表す差分パターンを算出する。そして、情報処理装置20は、差分パターンに基づき、空気の匂いを検出する。例えば、情報処理装置20は、差分パターンを、予め記憶している基準パターンに対してマッチングを行い、空気の匂いの種類および強さを判定する。 The information processing apparatus 20 has a first pattern representing a detection value indicating the amount of odor causing material contained in the air that has passed through the filter 34 of each of the at least one detection element, and the filter 34 of each of the at least one detection element. Calculating a difference pattern representing a difference from the second pattern representing the detected value indicating the amount of the odor causing substance contained in the air not passing through. Then, the information processing device 20 detects the odor of air based on the difference pattern. For example, the information processing apparatus 20 matches the difference pattern with the reference pattern stored in advance, and determines the type and strength of the odor of air.

 図5は、第1モードでの空気の流れを示す図である。センサ装置30の制御部50は、匂いの検出時において、第1モードと第2モードとを切り換える。第1モードでは、制御部50は、第1ファン36を動作させて第2ファン38を停止させる。そして、センサユニット40は、第1モードにおいて、内蔵する少なくとも1つの検出素子のそれぞれを用いて、第1ファン36から送風された空気から匂いの原因物質の量を検出する。これにより、センサユニット40は、少なくとも1つの検出素子のそれぞれのフィルタ34を通過した空気に含まれる匂いの原因物質の量を示す検出値を出力することができる。 FIG. 5 is a diagram showing the flow of air in the first mode. The control unit 50 of the sensor device 30 switches between the first mode and the second mode when detecting an odor. In the first mode, the control unit 50 operates the first fan 36 to stop the second fan 38. Then, in the first mode, the sensor unit 40 detects the amount of the odor causing substance from the air blown from the first fan 36 using each of at least one built-in detection element. Thereby, the sensor unit 40 can output the detection value which shows the quantity of the cause substance of the odor contained in the air which passed each filter 34 of at least 1 detection element.

 図6は、第2モードでの空気の流れを示す図である。第2モードでは、制御部50は、第1ファン36を停止させて第2ファン38を動作させる。そして、センサユニット40は、このような第2モードにおいて、内蔵する少なくとも1つの検出素子のそれぞれを用いて、第2ファン38から送風された空気から匂いの原因物質の量を検出する。これにより、センサユニット40は、少なくとも1つの検出素子のそれぞれのフィルタ34を通過していない空気に含まれる匂いの原因物質の量を示す検出値を出力することができる。 FIG. 6 is a diagram showing the flow of air in the second mode. In the second mode, the control unit 50 stops the first fan 36 and operates the second fan 38. Then, in such a second mode, the sensor unit 40 detects the amount of odor causing substance from the air blown from the second fan 38 using each of at least one built-in detection element. Thereby, the sensor unit 40 can output the detection value which shows the quantity of the cause substance of the odor contained in the air which has not passed through each filter 34 of at least 1 detection element.

 図7は、情報処理装置20の機能構成を示す図である。情報処理装置20は、所定のアプリケーションプログラムを実行することにより、図7に示す各ブロックに示す機能を実現する。 FIG. 7 is a diagram showing a functional configuration of the information processing apparatus 20. As shown in FIG. The information processing apparatus 20 implements the functions shown in each block shown in FIG. 7 by executing a predetermined application program.

 このような機能を実現した情報処理装置20は、第1取得部72と、第2取得部74と、差分算出部76と、パターン記憶部78と、判定部80と、アラーム出力部82と、ログ記憶部84と、推定部86と、情報出力部88とを有する。 The information processing apparatus 20 that realizes such functions includes a first acquisition unit 72, a second acquisition unit 74, a difference calculation unit 76, a pattern storage unit 78, a determination unit 80, and an alarm output unit 82. A log storage unit 84, an estimation unit 86, and an information output unit 88 are included.

 第1取得部72は、センサ装置30から、少なくとも1つの検出素子のそれぞれのフィルタ34を通過した空気に含まれる匂いの原因物質の量を示す検出値を表す信号を取得する。例えば、第1取得部72は、所定時間毎に、センサ装置30から信号を取得する。第2取得部74は、センサ装置30から、少なくとも1つの検出素子のそれぞれのフィルタ34を通過していない空気に含まれる匂いの原因物質の量を示す検出値を表す信号を取得する。例えば、第2取得部74は、所定時間毎に、第1取得部72と同期してセンサ装置30から信号を取得する。なお、第1取得部72および第2取得部74は、共通のハードウェアにより実現されてもよいし、別々のハードウェアにより実現されてもよい。 The first acquisition unit 72 acquires, from the sensor device 30, a signal representing a detection value indicating the amount of odor causing substance contained in the air that has passed through the filters 34 of at least one detection element. For example, the first acquisition unit 72 acquires a signal from the sensor device 30 every predetermined time. The second acquisition unit 74 acquires, from the sensor device 30, a signal representing a detection value indicating the amount of the odor causing substance contained in the air that has not passed through the filters 34 of at least one detection element. For example, the second acquisition unit 74 acquires a signal from the sensor device 30 in synchronization with the first acquisition unit 72 every predetermined time. The first acquisition unit 72 and the second acquisition unit 74 may be realized by common hardware or may be realized by separate hardware.

 差分算出部76は、第1取得部72により取得された少なくとも1つの検出素子の検出値を表す第1パターンと、第2取得部74により取得された少なくとも1つの検出素子の検出値を表す第2パターンとの差を表す差分パターンを算出する。すなわち、差分算出部76は、少なくとも1つの検出素子のそれぞれのフィルタ34を通過した空気に含まれる匂いの原因物質の量を示す検出値を表す第1パターンと、少なくとも1つの検出素子のそれぞれのフィルタ34を通過していない空気に含まれる匂いの原因物質の量を示す検出値を表す第2パターンとの差を表す差分パターンを算出する。 The difference calculation unit 76 has a first pattern representing the detection value of the at least one detection element acquired by the first acquisition unit 72 and a detection value of the at least one detection element acquired by the second acquisition unit 74. A difference pattern representing the difference between the two patterns is calculated. That is, the difference calculation unit 76 sets each of the first pattern representing the detection value indicating the amount of the odor causing substance contained in the air that has passed through the filter 34 of each of the at least one detection element, and the at least one detection element. A difference pattern representing a difference from the second pattern representing the detected value indicating the amount of the odor causing substance contained in the air not passing through the filter 34 is calculated.

 例えば、差分算出部76は、第2パターンに含まれる少なくとも1つの検出素子のそれぞれの検出値を表す値から、第1パターンに含まれる対応する検出素子の検出値を表す値を減算する。このように算出された差分パターンは、検出素子以外の物質が吸着膜に吸着したこと等により生じるノイズおよびセンサ装置30のオフセット等の誤差成分を除いた、少なくとも1つの検出素子のそれぞれの検出値を表す。 For example, the difference calculating unit 76 subtracts the value representing the detection value of the corresponding detection element included in the first pattern from the value representing the detection value of each of the at least one detection element included in the second pattern. The difference pattern calculated in this manner is each detection value of at least one detection element excluding an error component such as a noise caused by the adsorption of a substance other than the detection element to the adsorption film and an offset of the sensor device 30. Represents

 パターン記憶部78は、複数の種類の匂い毎に、1以上の基準パターンを紐付けて記憶する。基準パターンは、少なくとも1つの検出素子のそれぞれの、対応する種類の匂いの空気に含まれる匂いの原因物質の量を示す検出値を表す。例えば、パターン記憶部78は、加齢臭、カビ臭および汗の匂いのそれぞれが検出された場合における、センサ装置30により取得される少なくとも1つの検出素子のそれぞれの検出値を表す基準パターンを記憶する。なお、パターン記憶部78は、このような種類の匂いに限らず、他の匂いのパターンを記憶してもよい。さらに、パターン記憶部78は、それぞれの種類の匂いについて、匂いの強さ毎に基準パターンを記憶してもよい。 The pattern storage unit 78 stores one or more reference patterns in association with each of a plurality of types of odors. The reference pattern represents a detection value indicating the amount of odor causing substance contained in the air of the corresponding type of odor of each of the at least one detection element. For example, the pattern storage unit 78 stores a reference pattern representing each detection value of at least one detection element acquired by the sensor device 30 when each of an aging odor, a mold odor and a sweat odor is detected. Do. The pattern storage unit 78 may store patterns of other types of odors as well as such types of odors. Furthermore, the pattern storage unit 78 may store a reference pattern for each odor intensity for each type of odor.

 判定部80は、差分パターンと、パターン記憶部78に記憶されている1または複数の基準パターンとの間でマッチングを行う。そして、判定部80は、差分パターンが、何れかの基準パターンとマッチングする場合、何れか種類の匂いであると判定する。より具体的には、判定部80は、1または複数の基準パターンのうち、差分パターンと一致または所定の範囲内となる何れかの基準パターンを選択する。そして、判定部80は、選択した基準パターンに対応する種類の匂いであると判定する。 The determination unit 80 performs matching between the difference pattern and one or more reference patterns stored in the pattern storage unit 78. Then, when the difference pattern matches any reference pattern, the determination unit 80 determines that the odor is any type. More specifically, the determination unit 80 selects one of the one or more reference patterns that matches the difference pattern or any reference pattern that falls within a predetermined range. Then, the determination unit 80 determines that the type of odor corresponds to the selected reference pattern.

 なお、パターンがマッチングする場合とは、2つのパターンが完全に一致した場合のみならず、所定の誤差以下で一致する場合、または、複数の基準パターンのうち最も近い基準パターンを選択する場合等を含む。 The case where the patterns match means not only when the two patterns completely match, but also when they match with a predetermined error or less, or when the closest reference pattern is selected from a plurality of reference patterns, etc. Including.

 さらに、判定部80は、それぞれの種類の匂いについて、匂いの強さを判定する。これにより、判定部80は、匂いの種類および匂いの強さを判定することができる。また、判定部80は、このようなパターンマッチングに限らず、他の方法で匂いの種類および匂いの強さを判定してもよい。例えば、判定部80は、ニューラルネットワーク等を用いて差分パターンにマッチングする匂いの種類および匂いの強さを判定してもよい。 Furthermore, the determination unit 80 determines the intensity of the odor for each type of odor. Thereby, the determination unit 80 can determine the type of odor and the intensity of the odor. Further, the determination unit 80 may determine the type of odor and the intensity of the odor by other methods as well as such pattern matching. For example, the determination unit 80 may determine the type of odor and the intensity of the odor matching the difference pattern using a neural network or the like.

 アラーム出力部82は、判定部80により匂いの強さが判定される毎に、判定部80により判定された匂いの強さと予め定められた閾値とを比較する。アラーム出力部82は、匂いの強さが閾値より大きい場合に、アラームを出力する。これにより、アラーム出力部82は、対象物体であるシート32(例えば、座部、背もたれまたはヘッドレスト)の汚染度が所定値より大きくなったことを使用者に通知することができる。 The alarm output unit 82 compares the odor intensity determined by the determination unit 80 with a predetermined threshold each time the determination unit 80 determines the odor intensity. The alarm output unit 82 outputs an alarm when the odor intensity is greater than the threshold. As a result, the alarm output unit 82 can notify the user that the degree of contamination of the sheet 32 (for example, the seat, the backrest, or the headrest) that is the target object has become larger than a predetermined value.

 例えば、アラーム出力部82は、シート32の汚染度が所定値より大きくなったことを使用者に通知するための画像を表示部に表示させる。アラーム出力部82は、シート32の汚染度が所定値より大きくなったことを音声により出力させてもよいし、ネットワークを介して他の装置に送信してもよい。 For example, the alarm output unit 82 causes the display unit to display an image for notifying the user that the contamination degree of the sheet 32 has become larger than a predetermined value. The alarm output unit 82 may output by voice that the contamination degree of the sheet 32 has become larger than a predetermined value, or may transmit it to another device via a network.

 また、アラーム出力部82は、予め選択された特定の種類の匂いの強さが閾値より大きくなった場合にアラームを出力してもよい。例えば、アラーム出力部82は、汗の匂いの強さが閾値より大きくなった場合にアラームを出力してもよいし、加齢臭の強さが閾値より大きくなった場合にアラームを出力してもよい。 Further, the alarm output unit 82 may output an alarm when the intensity of the particular type of odor selected in advance is larger than a threshold. For example, the alarm output unit 82 may output an alarm when the intensity of sweat odor is greater than a threshold, or may output an alarm when the intensity of aging odor exceeds a threshold. It is also good.

 例えば、アラーム出力部82は、匂いの種類毎に(例えば、加齢臭、カビ臭または汗の匂い毎に)、異なる閾値を記憶していてもよい。この場合、アラーム出力部82は、匂いの種類毎に、匂いの強さが閾値より大きくなったか否かを判定する。そして、アラーム出力部82は、何れかの匂いの種類について、匂いの強さが閾値より大きくなった場合には、アラームを出力するとともに、強さが閾値より大きくなった匂いの種類を示す情報を出力する。 For example, the alarm output unit 82 may store different threshold values for each type of odor (for example, for each age-related odor, mold odor, or odor of sweat). In this case, the alarm output unit 82 determines, for each type of odor, whether the intensity of the odor has become greater than a threshold. Then, the alarm output unit 82 outputs an alarm when the intensity of the odor becomes larger than the threshold for any type of odor, and information indicating the type of the odor whose intensity becomes larger than the threshold Output

 ログ記憶部84は、差分算出部76により算出された差分パターンを、差分パターンの基となる少なくとも1つの検出素子のそれぞれの検出値の取得時刻に対応付けて記憶する。さらに、ログ記憶部84は、過去に算出された差分パターンおよび取得時刻も対応付けて記憶する。なお、ログ記憶部84は、差分パターンに代えて、第1パターンおよび第2パターンを記憶してもよい。 The log storage unit 84 stores the difference pattern calculated by the difference calculation unit 76 in association with the acquisition time of each detection value of at least one detection element that is the basis of the difference pattern. Furthermore, the log storage unit 84 also stores the difference pattern calculated in the past and the acquisition time in association with each other. The log storage unit 84 may store the first pattern and the second pattern instead of the difference pattern.

 推定部86は、ログ記憶部84に記憶されている差分パターンおよび対応する取得時刻に基づき、任意の時刻において算出されると予測される差分パターンを推定する。例えば、推定部86は、任意の第1時刻より前の少なくとも1つの差分パターンに基づき、第1時刻における差分パターンを推定する。例えば、推定部86は、差分パターンに含まれる複数の差分検出値のそれぞれについて、差分検出値の時間変化を表す関数を同定し、同定した関数に第1時刻を代入する。これにより、推定部86は、第1時刻における差分パターンを推定することができる。 The estimation unit 86 estimates a differential pattern predicted to be calculated at an arbitrary time based on the differential pattern stored in the log storage unit 84 and the corresponding acquisition time. For example, the estimation unit 86 estimates a difference pattern at a first time based on at least one difference pattern before any first time. For example, for each of the plurality of difference detection values included in the difference pattern, the estimation unit 86 identifies a function representing time change of the difference detection value, and substitutes the first time into the identified function. Thereby, the estimation part 86 can estimate the difference pattern in 1st time.

 さらに、推定部86は、第1時刻における差分パターンと、パターン記憶部78に記憶されたパターンとのマッチングを行い、第1時刻において発生する匂いを推定する。例えば、推定部86は、第1時刻における匂いの種類および強さを推定する。 Furthermore, the estimation unit 86 matches the difference pattern at the first time with the pattern stored in the pattern storage unit 78, and estimates the odor generated at the first time. For example, the estimation unit 86 estimates the type and intensity of the odor at the first time.

 そして、推定部86により第1時刻において発生する匂いが推定された場合、情報出力部88は、第1時刻において発生する匂いの推定結果を出力する。例えば、情報出力部88は、表示部に、第1時刻において発生する匂いの推定結果を表示させる。 Then, when the odor generated at the first time is estimated by the estimation unit 86, the information output unit 88 outputs the estimation result of the odor generated at the first time. For example, the information output unit 88 causes the display unit to display the estimation result of the odor generated at the first time.

 また、さらに、推定部86は、ログ記憶部84に記憶されている複数の差分パターンおよび対応する複数の取得時刻に基づき、所定の種類の匂いが発生する時刻を推定してもよい。例えば、推定部86は、所定の種類の匂いが、所定の強さとなる時刻を推定する。この場合、例えば、推定部86は、差分パターンに含まれる複数の差分検出値のそれぞれについて、差分検出値の時間変化を表す関数を同定する。そして、複数の差分検出値のそれぞれの時間変化を表す関数に基づき、複数の差分検出値のパターンが、パターン記憶部78に記憶されているパターンにマッチングする時刻を算出する。 Furthermore, the estimation unit 86 may estimate the time when the predetermined type of odor occurs based on the plurality of difference patterns stored in the log storage unit 84 and the plurality of corresponding acquisition times. For example, the estimation unit 86 estimates a time when the predetermined type of odor has a predetermined intensity. In this case, for example, the estimation unit 86 identifies, for each of the plurality of difference detection values included in the difference pattern, a function representing time change of the difference detection value. Then, based on the function representing the time change of each of the plurality of difference detection values, the time at which the pattern of the plurality of difference detection values matches the pattern stored in the pattern storage unit 78 is calculated.

 情報出力部88は、判定部80により判定された空気の匂いを示す情報を出力する。例えば、情報出力部88は、匂いの種類および匂いの強さを出力する。例えば、情報出力部88は、使用者により表示を指示する操作がされた場合に、匂いの種類および匂いの強さを出力する。なお、情報出力部88は、匂いの種類および匂いの強さを示す情報を、音声により出力させてもよいし、ネットワークを介して他の装置に送信してもよい。また、情報出力部88は、匂いの発生源の匂いの種類および匂いの強さに基づき、対象物体であるシート32(例えば、座部、背もたれまたはヘッドレスト)の汚染度を判定し、判定した汚染度を表示してもよい。 The information output unit 88 outputs information indicating the odor of air determined by the determination unit 80. For example, the information output unit 88 outputs the type of odor and the intensity of the odor. For example, the information output unit 88 outputs the type of odor and the intensity of the odor when the user performs an operation of instructing display. The information output unit 88 may output information indicating the type of odor and the intensity of the odor by voice or may transmit the information to another device via a network. In addition, the information output unit 88 determines the degree of contamination of the target sheet 32 (for example, a seat, a backrest, or a headrest) based on the type of odor and the intensity of the odor based on the odor source, and determines the contamination. You may display the degree.

 また、推定部86により所定の種類の匂いが発生する時刻が推定された場合、情報出力部88は、所定の種類の匂いが発生する時刻を出力する。例えば、情報出力部88は、表示部に、所定の種類の匂いが発生する時刻を表示させる。また、情報出力部88は、所定の種類の匂いが発生する時刻において、対象物体であるシート32(座部、背もたれまたはヘッドレスト)の交換またはクリーニングを促す情報を出力してもよい。 Further, when the estimation unit 86 estimates the time at which a predetermined type of odor is generated, the information output unit 88 outputs the time at which a predetermined type of odor is generated. For example, the information output unit 88 causes the display unit to display the time when a predetermined type of odor occurs. In addition, the information output unit 88 may output information prompting replacement or cleaning of the seat 32 (seat, backrest, or headrest) that is the target object at a time when a predetermined type of odor is generated.

 なお、センシングシステム10が複数のセンサ装置30を備える場合、情報処理装置20は、複数のセンサ装置30のそれぞれについて、各ブロックでの処理を実行させる。また、情報処理装置20は、所定時間毎にセンサ装置30に第1パターンおよび第2パターンを取得させ、所定時間毎に取得した第1パターンおよび第2パターンに基づき各ブロックでの処理を実行させてもよい。 When the sensing system 10 includes a plurality of sensor devices 30, the information processing device 20 causes each of the plurality of sensor devices 30 to execute processing in each block. Further, the information processing device 20 causes the sensor device 30 to acquire the first pattern and the second pattern at predetermined time intervals, and causes the processing in each block to be executed based on the first pattern and the second pattern acquired at predetermined time intervals. May be

 図8は、情報処理装置20による匂いの検出処理の流れの一例を示すフローチャートである。情報処理装置20は、複数のセンサ装置30のそれぞれ毎、且つ、所定時間毎に、例えば、図8のステップS11からステップS20の処理を実行する。 FIG. 8 is a flowchart showing an example of the flow of odor detection processing by the information processing apparatus 20. The information processing device 20 executes, for example, the processing from step S11 to step S20 of FIG. 8 for each of the plurality of sensor devices 30 and at predetermined time intervals.

 まず、ステップS11において、情報処理装置20は、所定時刻となったか否かを判断する。例えば、情報処理装置20は、車両18が使用されないタイミング、例えば、1日における特定の時刻(深夜または早朝等の特定の時刻)となったか否かを判断する。情報処理装置20は、所定の時刻ではない場合(S11のNo)、処理をステップS11で待機するか、または、本フローを終了する。 First, in step S11, the information processing device 20 determines whether a predetermined time has come. For example, the information processing apparatus 20 determines whether the time when the vehicle 18 is not used, for example, a specific time in a day (a specific time such as midnight or early morning) has come. If the information processing apparatus 20 does not have the predetermined time (No in S11), the information processing apparatus 20 waits for the process in step S11 or ends the present flow.

 所定時刻となった場合(S11のYes)、情報処理装置20は、処理をステップS12に進める。ステップS12において、情報処理装置20は、車両18の中に乗車者が存在するか否かを判断する。情報処理装置20は、車両18の中に乗車者が存在する場合(S12のYes)、処理をステップS12で待機するか、または、本フローを終了する。 If the predetermined time has come (Yes in S11), the information processing device 20 proceeds with the process to step S12. In step S12, the information processing device 20 determines whether a passenger is present in the vehicle 18. When there is a passenger in the vehicle 18 (Yes in S12), the information processing apparatus 20 waits for the process in step S12 or ends the present flow.

 車両18の中に乗車者が存在しない場合(S12のNo)、情報処理装置20は、処理をステップS13に進める。ステップS13において、情報処理装置20は、センサ装置30から、少なくとも1つの検出素子のそれぞれのフィルタ34を通過した空気に含まれる匂いの原因物質の量を示す検出値を表す第1パターンを取得する。続いて、ステップS14において、情報処理装置20は、センサ装置30から、少なくとも1つの検出素子のそれぞれのフィルタ34を通過していない空気に含まれる匂いの原因物質の量を示す検出値を表す第2パターンを取得する。 If a passenger is not present in the vehicle 18 (No in S12), the information processing device 20 proceeds with the process to step S13. In step S13, the information processing device 20 acquires, from the sensor device 30, a first pattern representing a detection value indicating the amount of odor causing material contained in the air that has passed through the filters 34 of at least one detection element. . Subsequently, in step S14, the information processing device 20 represents a detection value indicating the amount of the odor causing substance contained in the air not passing through the filter 34 of each of the at least one detection element from the sensor device 30. Get 2 patterns.

 続いて、ステップS15において、情報処理装置20は、第1パターンと第2パターンとの差を表す差分パターンを算出する。例えば、情報処理装置20は、第2パターンに含まれる少なくとも1つの検出素子のそれぞれの検出値から、第1パターンに含まれる対応する検出素子の検出値を減算することにより、差分パターンを算出する。 Subsequently, in step S15, the information processing device 20 calculates a difference pattern representing the difference between the first pattern and the second pattern. For example, the information processing apparatus 20 calculates a difference pattern by subtracting the detection value of the corresponding detection element included in the first pattern from the detection value of each of the at least one detection element included in the second pattern. .

 続いて、ステップS16において、情報処理装置20は、差分パターンを基準パターンとマッチングすることにより匂いの種類および匂いの強さを検出する。 Subsequently, in step S16, the information processing apparatus 20 detects the type of odor and the intensity of the odor by matching the difference pattern with the reference pattern.

 続いて、ステップS17において、情報処理装置20は、検出した匂いの強さが予め定められた閾値より大きいか否かを判断する。例えば、情報処理装置20は、所定の種類の匂い(例えば、汗の匂いまたは加齢臭)が、閾値より大きいか否かを判断する。検出した匂いの強さが閾値以下である場合(S17のNo)、情報処理装置20は、処理をS19に進める。 Subsequently, in step S17, the information processing apparatus 20 determines whether the detected odor intensity is larger than a predetermined threshold. For example, the information processing apparatus 20 determines whether a predetermined type of odor (for example, odor of sweat or age-related odor) is larger than a threshold. If the detected odor intensity is equal to or less than the threshold (No in S17), the information processing device 20 advances the process to S19.

 検出した匂いの強さが閾値より大きい場合(S17のYes)、情報処理装置20は、処理をステップS18に進める。ステップS18において、情報処理装置20は、アラームを出力する。例えば、情報処理装置20は、シート32の汚染度が所定値より大きくなったことを使用者に通知するための画像を表示部に表示させる。情報処理装置20は、シート32の汚染度が所定値より大きくなったことを音声により出力させてもよいし、ネットワークを介して他の装置に送信してもよい。これにより、情報処理装置20は、対象物体であるシート32(例えば、座部、背もたれまたはヘッドレスト)の汚染度が所定値より大きくなったことを使用者に通知することができる。情報処理装置20は、S18の処理を終えると、処理をS19に進める。 If the detected odor intensity is greater than the threshold (Yes in S17), the information processing device 20 proceeds with the process to step S18. In step S18, the information processing device 20 outputs an alarm. For example, the information processing apparatus 20 causes the display unit to display an image for notifying the user that the contamination degree of the sheet 32 has become larger than a predetermined value. The information processing apparatus 20 may output by voice that the contamination degree of the sheet 32 has become larger than a predetermined value, or may transmit it to another apparatus via a network. Thereby, the information processing apparatus 20 can notify the user that the degree of contamination of the sheet 32 (for example, the seat, the backrest, or the headrest) which is the target object has become larger than a predetermined value. When the information processing apparatus 20 completes the process of S18, the process proceeds to S19.

 続いて、ステップS19において、情報処理装置20は、過去に算出した複数の差分パターンおよび対応する複数の取得時刻に基づき、所定の種類の匂いが所定の匂いの強さとなる時刻を推定する。 Subsequently, in step S19, the information processing apparatus 20 estimates a time at which a predetermined type of odor becomes a predetermined odor intensity, based on the plurality of difference patterns calculated in the past and the plurality of corresponding acquisition times.

 続いて、ステップS20において、情報処理装置20は、判定された匂いを示す情報を出力する。例えば、情報処理装置20は、表示部に、判定された匂いの種類および強さを示す情報を表示する。さらに、ステップS20において、情報処理装置20は、所定の種類の匂いが所定の匂いの強さとなる時刻を表示する。なお、情報処理装置20は、使用者により表示を指示する操作がされた場合に、判定された匂いの種類および強さを示す情報を表示してもよい。 Subsequently, in step S20, the information processing device 20 outputs information indicating the determined odor. For example, the information processing apparatus 20 displays, on the display unit, information indicating the type and the intensity of the determined odor. Furthermore, in step S20, the information processing apparatus 20 displays the time when the predetermined type of odor has a predetermined odor intensity. The information processing apparatus 20 may display information indicating the type and strength of the determined odor when the user performs an operation to instruct display.

 情報処理装置20は、ステップS20の処理を終えると、処理をステップS11に戻して、以上の処理を所定時間毎に繰り返して実行する。なお、情報処理装置20は、ステップS20の後に本フローを終了し、所定時間後に再度起動してS11から処理を繰り返してもよい。また、情報処理装置20は、センシングシステム10が複数のセンサ装置30を備える場合には、以上の処理を複数のセンサ装置30のそれぞれ毎に実行する。 After completing the process of step S20, the information processing apparatus 20 returns the process to step S11, and repeatedly executes the above process at predetermined intervals. The information processing apparatus 20 may end the present flow after step S20, start again after a predetermined time, and repeat the process from S11. Further, when the sensing system 10 includes a plurality of sensor devices 30, the information processing device 20 executes the above-described process for each of the plurality of sensor devices 30.

 図9は、情報処理装置20に表示されたアラーム画像90の一例示す図である。情報処理装置20は、S18において、アラームを出力する場合、図9に示すようなアラーム画像90を表示してもよい。 FIG. 9 is a view showing an example of the alarm image 90 displayed on the information processing apparatus 20. As shown in FIG. When outputting an alarm in S18, the information processing apparatus 20 may display an alarm image 90 as shown in FIG.

 情報処理装置20は、例えば、待機画面等を表示している状態において、強制的に情報を通知するために用いられるポップアップ処理により、アラーム画像90を表示してもよい。これにより、情報処理装置20は、特定のアプリケーションプログラムを起動しなくても、シート32(例えば、座部、背もたれまたはヘッドレスト)の汚染度が所定値より大きくなったことを使用者に通知することができる。 The information processing apparatus 20 may display the alarm image 90 by pop-up processing used to forcibly notify information, for example, in a state where a standby screen or the like is displayed. Thereby, the information processing apparatus 20 notifies the user that the degree of contamination of the seat 32 (for example, the seat portion, the backrest, or the headrest) is larger than a predetermined value without activating a specific application program. Can.

 図10は、情報処理装置20の表示例を示す図である。情報処理装置20は、シート32のヘッドレストに取り付けられたセンサ装置30に対してステップS11からステップS20の処理を実行した後に、例えば特定のアプリケーションプログラムを起動した場合、例えば、図10に示すような画像を表示する。 FIG. 10 is a view showing a display example of the information processing apparatus 20. As shown in FIG. The information processing apparatus 20 executes, for example, a specific application program after executing the processing from step S11 to step S20 on the sensor device 30 attached to the headrest of the seat 32, for example, as shown in FIG. Display an image.

 情報処理装置20は、例えば、加齢臭、カビ臭および汗の匂いが発生しているか否かを判定する。さらに、情報処理装置20は、加齢臭、カビ臭および汗の匂いのそれぞれの匂いの強さも判定する。そして、情報処理装置20は、加齢臭、カビ臭および汗の匂いのそれぞれの匂いの強さを示す情報を表示する。 The information processing apparatus 20 determines, for example, whether or not an age odor, a mold odor, and a sweat odor are generated. Furthermore, the information processing apparatus 20 also determines the intensity of each of the odor of age, mold and odor of sweat. Then, the information processing device 20 displays information indicating the intensity of each of the odor of age, mold and odor of sweat.

 また、情報処理装置20は、加齢臭、カビ臭および汗の匂いの何れかが、所定の強さとなる時期を推定する。情報処理装置20は、推定した時期を、ヘッドレストのクリーニング時期を表す情報として表示する。 In addition, the information processing device 20 estimates a time when any of the aging odor, the mold odor and the odor of sweat becomes a predetermined strength. The information processing apparatus 20 displays the estimated time as information indicating the headrest cleaning time.

 また、情報処理装置20は、ヘッドレストから加齢臭、カビ臭または汗の匂いの何れかが発生していると感じた時に、押下されるボタンをさらに表示してもよい。例えば、情報処理装置20は、加齢臭が発生していると感じた時に押すための加齢臭ボタン、カビ臭が発生していると感じた時に押すためのカビ臭ボタン、および、汗の匂いが発生していると感じた時に押すための汗の匂いボタンを表示してもよい。情報処理装置20は、これらの何れかのボタンが押された場合、ヘッドレストの近傍に設けられたセンサ装置30から匂いの検出結果を取得する。そして、情報処理装置20は、検出結果に基づき算出された差分パターンを教師データとして、対応する匂いの種類の基準パターンを、学習処理により更新する。例えば、情報処理装置20は、加齢臭ボタンが押された場合には加齢臭の基準パターンを更新し、カビ臭ボタンが押された場合にはカビ臭の基準パターンを更新し、汗の匂いボタンが押された場合には汗の匂いの基準パターンを更新する。このような処理をすることにより、情報処理装置20は、より精度良く匂いを検出することができる。 In addition, the information processing apparatus 20 may further display a button to be pressed when it is felt that any of an aging odor, a mold odor or a sweat odor is generated from the headrest. For example, the information processing apparatus 20 may have an aging odor button for pressing when it feels that aging odor is generated, a mold odor button for pressing when it is felt that mold odor is generated, and sweat You may display a sweat smell button to press when you feel the smell is occurring. When any one of these buttons is pressed, the information processing device 20 acquires the detection result of the odor from the sensor device 30 provided in the vicinity of the headrest. Then, the information processing apparatus 20 updates the reference pattern of the corresponding odor type by learning processing, using the difference pattern calculated based on the detection result as teacher data. For example, the information processing apparatus 20 updates the reference pattern of the aging odor when the aging odor button is pressed, and updates the reference pattern of the mold odor when the mold odor button is pressed, and the sweating When the odor button is pressed, the sweat odor reference pattern is updated. By performing such processing, the information processing apparatus 20 can detect an odor more accurately.

 さらに、情報処理装置20は、ヘッドレストから発生する所定の種類の匂いの強さが、ヘッドレストのクリーニング時期に達している場合に発する匂いの強さだと感じた時に、押下させるボタンをさらに表示してもよい。情報処理装置20は、このボタンが押された場合、ヘッドレストの近傍に設けられたセンサ装置30から匂いの検出結果を取得する。そして、情報処理装置20は、検出結果に基づき算出された差分パターンを教師データとして、閾値を超える強さの匂いを表す基準パターンを、学習処理により更新する。このような処理をすることにより、情報処理装置20は、匂いの強さが閾値を超えたか否かをより精度良く検出することができる。 Furthermore, the information processing apparatus 20 further displays a button to be pressed when it is felt that the intensity of the predetermined type of odor generated from the headrest is the intensity of the odor emitted when the headrest cleaning time has been reached. It is also good. When the button is pressed, the information processing apparatus 20 acquires the detection result of the odor from the sensor device 30 provided in the vicinity of the headrest. Then, the information processing apparatus 20 updates the reference pattern representing the odor having a strength exceeding the threshold value by learning processing, using the difference pattern calculated based on the detection result as teacher data. By performing such processing, the information processing apparatus 20 can more accurately detect whether the intensity of the odor exceeds the threshold.

 また、情報処理装置20は、匂いの種類毎に(例えば、加齢臭、カビ臭または汗の匂い毎に)、アラームを出力するための閾値を記憶している場合がある。この場合、情報処理装置20は、ヘッドレストのクリーニング時期に達していると感じた時に押下させるボタンを、匂いの種類毎に表示してもよい。そして、これらの何れかのボタンが押された場合、情報処理装置20は、センサ装置30からの匂いの検出結果に基づき、押されたボタンに対応する匂いの種類における、閾値を超える強さの匂いを表す基準パターンを、学習処理により更新する。 In addition, the information processing apparatus 20 may store a threshold for outputting an alarm for each type of odor (for example, for each age-related odor, mold odor or odor of sweat). In this case, the information processing apparatus 20 may display a button to be pressed when it is felt that the headrest cleaning time has come, for each type of odor. Then, when any one of these buttons is pressed, the information processing device 20, based on the result of detection of the smell from the sensor device 30, determines that the type of smell corresponding to the pressed button exceeds the threshold value. The reference pattern representing the odor is updated by the learning process.

 図11は、情報処理装置20による乗車者の匂いの検出処理の流れを示すフローチャートである。情報処理装置20は、さらに、図11のステップS21からステップS27の処理を実行して、乗車者の匂いを判定してもよい。 FIG. 11 is a flowchart showing the flow of the process of detecting the smell of a passenger by the information processing apparatus 20. The information processing apparatus 20 may further execute the processing from step S21 to step S27 in FIG. 11 to determine the smell of the passenger.

 まず、ステップS21において、情報処理装置20は、車両18に乗車者が乗車したか否かを判断する。例えば、情報処理装置20は、キーを用いてドアが開けられたタイミング、キーを用いて車両18を起動したタイミング、または、ハンドルを握ったタイミングを、乗車者が乗車したタイミングとして判断する。 First, in step S <b> 21, the information processing device 20 determines whether a passenger has got on the vehicle 18. For example, the information processing apparatus 20 determines the timing when the door is opened using the key, the timing when the vehicle 18 is activated using the key, or the timing when the steering wheel is gripped as the timing when the passenger gets on.

 車両18に乗車者が乗車していない場合(S21のNo)、情報処理装置20は、処理をステップS21で待機する。車両18に乗車者が乗車した場合(S21のYes)、情報処理装置20は、処理をステップS22に進める。 When a passenger is not on the vehicle 18 (No in S21), the information processing device 20 stands by for processing in step S21. When a passenger gets on the vehicle 18 (Yes in S21), the information processing device 20 proceeds with the process to step S22.

 ステップS22において、情報処理装置20は、乗車者を特定する。例えば、情報処理装置20は、車両18に搭載された車載カメラ等により撮像された画像に基づき顔認証または光彩認証等を行って、乗車者が予め登録されたユーザであるかを認証してもよい。また、例えば、情報処理装置20は、車両18に搭載された指紋画像センサにより撮像された画像に基づき指紋認証を行って、乗車者が予め登録されたユーザであるかを認証してもよい。 In step S22, the information processing device 20 identifies a passenger. For example, the information processing apparatus 20 performs face authentication or glow authentication based on an image captured by an on-vehicle camera or the like mounted on the vehicle 18, and authenticates whether the passenger is a pre-registered user. Good. Also, for example, the information processing apparatus 20 may perform fingerprint authentication based on an image captured by a fingerprint image sensor mounted on the vehicle 18, and may authenticate whether the passenger is a user registered in advance.

 情報処理装置20は、認証が成功した場合には、ステップS23以降の処理を進める。また、情報処理装置20は、認証が失敗した場合には、ステップS22で処理を終了してもよいし、乗車者を特定せずにステップS23以降の処理を進めてもよい。 If the authentication is successful, the information processing device 20 proceeds with the process of step S23 and subsequent steps. Further, when the authentication fails, the information processing apparatus 20 may end the process at step S22, or may advance the processes after step S23 without specifying the passenger.

 ステップS23において、情報処理装置20は、センサ装置30から、少なくとも1つの検出素子のそれぞれのフィルタ34を通過した空気に含まれる匂いの原因物質の量を示す検出値を表す第1パターンを取得する。続いて、ステップS24において、情報処理装置20は、センサ装置30から、少なくとも1つの検出素子のそれぞれのフィルタ34を通過していない空気に含まれる匂いの原因物質の量を示す検出値を表す第2パターンを取得する。 In step S23, the information processing device 20 acquires, from the sensor device 30, a first pattern representing a detection value indicating the amount of odor causing substance contained in the air that has passed through the filters 34 of at least one detection element. . Subsequently, in step S24, the information processing device 20 indicates a detection value indicating the amount of the odor causing substance contained in the air not passing through the filter 34 of each of the at least one detection element from the sensor device 30. Get 2 patterns.

 続いて、ステップS25において、情報処理装置20は、第1パターンと第2パターンとの差を表す差分パターンを算出する。なお、情報処理装置20は、車両18に乗車者が乗車したタイミングの差分パターンと、車両18に乗車者が乗車する前(乗車者が不存在の時)の差分パターンとの差を表す2回差分パターンを算出してもよい。これにより、情報処理装置20は、車両18に乗車者が乗車することにより増加した匂いをより精度良く検出することができる。 Subsequently, in step S25, the information processing apparatus 20 calculates a difference pattern representing the difference between the first pattern and the second pattern. Note that the information processing device 20 represents the difference between the difference pattern of the timing when the rider gets on the vehicle 18 and the difference pattern before the rider gets on the vehicle 18 (when the rider is absent). A difference pattern may be calculated. As a result, the information processing apparatus 20 can more accurately detect the odor that is increased as a rider gets on the vehicle 18.

 続いて、ステップS26において、情報処理装置20は、差分パターン(または2回差分パターン)を基準パターンとマッチングすることにより匂いを検出する。例えば、情報処理装置20は、匂いの種類および匂いの強さを判定する。 Subsequently, in step S26, the information processing device 20 detects an odor by matching the difference pattern (or the two-time difference pattern) with the reference pattern. For example, the information processing device 20 determines the type of odor and the intensity of the odor.

 続いて、ステップS27において、情報処理装置20は、判定された空気の匂いを示す情報を、例えば、特定した乗車者に関するユーザ情報とともに、健康管理用のアプリケーションプログラムに通知する。そして、体調管理用のアプリケーションプログラムは、取得した匂いを示す情報をユーザ情報に対応付けて記憶する。さらに、健康管理用のアプリケーションプログラムは、取得した匂いを示す情報に基づき乗車者の体調または健康状態を判定し、判定結果を表示してもよい。 Subsequently, in step S27, the information processing apparatus 20 notifies the application program for health management of the information indicating the determined odor of air together with, for example, the user information on the identified passenger. And the application program for physical condition management matches the information which shows the acquired smell with user information, and memorize | stores it. Furthermore, the application program for health management may determine the physical condition or the health condition of the passenger based on the information indicating the acquired odor, and may display the determination result.

 図12は、変形例に係るセンサ装置30の構成の一部を示す図である。センサユニット40は、図2に示す構成に代えて、図12に示す構成であってもよい。図12に示す変形例に係るセンサユニット40は、第1センサ94と、第2センサ96とを含む。第1センサ94および第2センサ96のそれぞれは、図3で示したセンサユニット40と同一の構成である。 FIG. 12 is a view showing a part of the configuration of a sensor device 30 according to a modification. The sensor unit 40 may be configured as shown in FIG. 12 instead of the configuration shown in FIG. A sensor unit 40 according to the modification shown in FIG. 12 includes a first sensor 94 and a second sensor 96. Each of the first sensor 94 and the second sensor 96 has the same configuration as the sensor unit 40 shown in FIG.

 変形例において、第1ファン36は、外部から空気を取り込んで、取り込んだ空気をフィルタ34を通過させて第1センサ94に供給する。第2ファン38は、外部から空気を取り込んで、取り込んだ空気をフィルタ34を通過させずに第2センサ96に供給する。すなわち、フィルタ34を通過した空気は、第1センサ94には供給されるが、第2センサ96には供給されない。また、フィルタ34を通過していない空気は、第2センサ96には供給されるが、第1センサ94には供給されない。例えば、変形例に係るセンサ装置30は、第1ファン36および第1センサ94と、第2ファン38および第2センサ96とを区切る壁68を有する。 In the modification, the first fan 36 takes in air from the outside, passes the taken air through the filter 34, and supplies it to the first sensor 94. The second fan 38 takes in air from the outside and supplies the taken-in air to the second sensor 96 without passing through the filter 34. That is, air that has passed through the filter 34 is supplied to the first sensor 94 but is not supplied to the second sensor 96. Further, air not passing through the filter 34 is supplied to the second sensor 96 but not supplied to the first sensor 94. For example, the sensor device 30 according to the modification has a wall 68 that separates the first fan 36 and the first sensor 94, and the second fan 38 and the second sensor 96.

 第1センサ94は、内蔵する少なくとも1つの検出素子のそれぞれを用いて、第1ファン36から送風された空気に含まれる匂いの原因物質の量を検出する。これにより、第1センサ94は、少なくとも1つの検出素子のそれぞれのフィルタ34を通過した空気に含まれる匂いの原因物質の量を示す検出値を出力することができる。 The first sensor 94 detects the amount of the odor causing substance contained in the air blown from the first fan 36 using each of at least one detection element contained therein. Thereby, the first sensor 94 can output a detection value indicating the amount of odor causing substance contained in the air that has passed through the filter 34 of each of the at least one detection element.

 第2センサ96は、内蔵する少なくとも1つの検出素子のそれぞれを用いて、第2ファン38から送風された空気に含まれる匂いの原因物質の量を検出する。これにより、第2センサ96は、少なくとも1つの検出素子のそれぞれのフィルタ34を通過していない空気に含まれる匂いの原因物質の量を示す検出値を出力することができる。 The second sensor 96 detects the amount of the odor causing substance contained in the air blown from the second fan 38 using each of at least one detection element contained therein. Thereby, the second sensor 96 can output a detection value indicating the amount of the odor causing substance contained in the air not passing through the filter 34 of each of the at least one detection element.

 (実施形態の効果)
 以上、本実施形態に係るセンシングシステム10について説明した。このような本実施形態に係るセンシングシステム10は、例えば次のような効果を奏する。
(Effect of the embodiment)
The sensing system 10 according to the present embodiment has been described above. Such a sensing system 10 according to the present embodiment has, for example, the following effects.

 本実施形態に係るセンシングシステム10は、対象物体であるシート32(例えば、座部、背もたれまたはヘッドレスト)を発生源とする匂い(例えば、匂いの種類および強さ)を判定することができる。そして、センシングシステム10は、対象物体を発生源とする匂いの強さが閾値より大きい場合、アラームを出力する。これにより、センシングシステム10は、対象物体を発生源とする匂いが強くなったことを確実に使用者に通知することができる。従って、本実施形態に係るセンシングシステム10は、例えば、使用者に適切な時期に対象物体をクリーニングさせることができるので、対象物体に汚れが蓄積して除去が困難となってしまう事態を回避することができる。 The sensing system 10 according to the present embodiment can determine an odor (for example, the type and intensity of an odor) originating from the sheet 32 (for example, a seat, a backrest, or a headrest) that is a target object. Then, the sensing system 10 outputs an alarm when the intensity of the odor originating from the target object is larger than the threshold. As a result, the sensing system 10 can surely notify the user that the odor originating from the target object has become strong. Therefore, since the sensing system 10 according to the present embodiment can, for example, allow the user to clean the target object at an appropriate time, it is possible to avoid a situation where dirt is accumulated on the target object and removal becomes difficult. be able to.

 また、本実施形態に係るセンシングシステム10は、対象物体に近接してセンサ装置30を取り付けることができるので、対象物体の匂いを確実に判定することができる。また、センシングシステム10は、乗車者が存在しないタイミングにおいて測定をするので、乗車者からの匂いを排除して、対象物体の匂いを精度良く判定することができる。 Moreover, since the sensing system 10 according to the present embodiment can attach the sensor device 30 in proximity to the target object, the odor of the target object can be determined with certainty. In addition, since the sensing system 10 performs measurement at the timing when no passenger is present, it is possible to accurately determine the odor of the target object by eliminating the smell from the passenger.

 また、本実施形態に係るセンシングシステム10は、所定の匂いが発生する時期(例えば、所定の種類の匂いが所定の強さとなる時期)を推定するので、使用者に、適切なタイミングで、対象物体のクリーニングをさせることができる。これにより、本実施形態に係るセンシングシステム10は、使用者のクリーニングの負担を軽減し、また、対象物体に汚れが蓄積して除去が困難となってしまう事態を回避することができる。 In addition, since the sensing system 10 according to the present embodiment estimates a time when a predetermined smell is generated (for example, a time when a predetermined type of odor has a predetermined strength), the user can appropriately target It can clean the object. As a result, the sensing system 10 according to the present embodiment can reduce the burden of cleaning on the user, and can prevent a situation in which dirt is accumulated on the target object and removal thereof becomes difficult.

 また、本実施形態に係るセンシングシステム10は、乗車者が車両18の中に入ったタイミングにおいて匂いを測定することにより、乗車者の匂いを判定することができる。また、センシングシステム10は、車両18等の使用者が特定可能な空間にセンサ装置30を備えるので、個人を特定して、乗車者の匂いを判定することができる。これにより、センシングシステム10は、検出した匂いを個人の健康管理情報等に用いることができる。 In addition, the sensing system 10 according to the present embodiment can determine the smell of the passenger by measuring the smell at the timing when the passenger enters the vehicle 18. In addition, since the sensing system 10 includes the sensor device 30 in a space that can be identified by the user such as the vehicle 18, it is possible to identify an individual and determine the smell of a passenger. Thereby, the sensing system 10 can use the detected smell for personal health management information and the like.

 (情報処理装置20のハードウェア構成)
 図13は、情報処理装置20のハードウェア構成を示す図である。情報処理装置20は、一例として、一般のコンピュータと同様のハードウェア構成により実現される。情報処理装置20は、CPU(Central Processing Unit)201と、操作装置202と、表示装置203と、マイクロフォン204と、ROM(Read Only Memory)205と、RAM(Random Access Memory)206と、記憶装置207と、通信装置208と、バス209とを備える。各部は、バス209により接続される。
(Hardware configuration of the information processing apparatus 20)
FIG. 13 is a diagram showing a hardware configuration of the information processing apparatus 20. As shown in FIG. The information processing apparatus 20 is realized by, for example, the same hardware configuration as a general computer. The information processing apparatus 20 includes a central processing unit (CPU) 201, an operation device 202, a display device 203, a microphone 204, a read only memory (ROM) 205, a random access memory (RAM) 206, and a storage device 207. , A communication device 208, and a bus 209. Each unit is connected by a bus 209.

 CPU201は、RAM206の所定領域を作業領域としてROM205または記憶装置207に予め記憶された各種プログラムとの協働により各種処理を実行し、情報処理装置20を構成する各部の動作を統括的に制御する。また、CPU201は、ROM205または記憶装置207に予め記憶されたプログラムとの協働により、操作装置202、表示装置203、マイクロフォン204および通信装置208等を動作させる。 The CPU 201 executes various processes in cooperation with various programs stored in advance in the ROM 205 or the storage device 207 by using a predetermined area of the RAM 206 as a work area, and collectively controls the operations of the units constituting the information processing apparatus 20. . The CPU 201 operates the operation device 202, the display device 203, the microphone 204, the communication device 208, and the like in cooperation with a program stored in advance in the ROM 205 or the storage device 207.

 操作装置202は、タッチパネル、マウスやキーボード等の入力デバイスであって、ユーザから操作入力された情報を指示信号として受け付け、その指示信号をCPU201に出力する。 The operation device 202 is an input device such as a touch panel, a mouse, and a keyboard, and receives information input from a user as an instruction signal, and outputs the instruction signal to the CPU 201.

 表示装置203は、LCD(Liquid Crystal Display)等の表示部である。表示装置203は、CPU201からの表示信号に基づいて、各種情報を表示する。例えば、表示装置203は、匂いの種類、匂いの強さおよび推定時期等を表示する。 The display device 203 is a display unit such as an LCD (Liquid Crystal Display). The display device 203 displays various information based on the display signal from the CPU 201. For example, the display device 203 displays the type of odor, the intensity of the odor, the estimated time, and the like.

 マイクロフォン204は、音声信号を入力するデバイスである。予め記録された音声信号または通信装置208から入力される音声信号を認識する場合には、情報処理装置20は、マイクロフォン204を備えなくてもよい。 The microphone 204 is a device that receives an audio signal. When recognizing an audio signal recorded in advance or an audio signal input from the communication device 208, the information processing device 20 may not include the microphone 204.

 ROM205は、情報処理装置20の制御に用いられるプログラムおよび各種設定情報等を書き換え不可能に記憶する。RAM206は、SDRAM(Synchronous Dynamic Random Access Memory)等の揮発性の記憶媒体である。RAM206は、CPU201の作業領域として機能する。 The ROM 205 stores a program used to control the information processing apparatus 20, various setting information, and the like in a non-rewritable manner. The RAM 206 is a volatile storage medium such as SDRAM (Synchronous Dynamic Random Access Memory). The RAM 206 functions as a work area of the CPU 201.

 記憶装置207は、フラッシュメモリ等の半導体による記憶媒体、磁気的または光学的に記録可能な記憶媒体等の書き換え可能な記録装置である。記憶装置207は、情報処理装置20の制御に用いられるプログラムを記憶する。また、記憶装置207は、パターン記憶部78およびログ記憶部84として機能する。 The storage device 207 is a rewritable storage device such as a storage medium made of a semiconductor such as a flash memory, or a storage medium that can be magnetically or optically recorded. The storage device 207 stores a program used to control the information processing device 20. The storage device 207 also functions as a pattern storage unit 78 and a log storage unit 84.

 通信装置208は、センサ装置30とデータの送受信をする。また、通信装置208は、ネットワークを介してサーバ等とデータの送受信をしてもよい。 The communication device 208 exchanges data with the sensor device 30. The communication device 208 may transmit and receive data to and from a server or the like via a network.

 本実施形態の情報処理装置20で実行されるプログラムは、例えば、インターネット等のネットワークに接続されたコンピュータ上に格納され、ネットワーク経由でダウンロードさせることにより提供される。また、本実施形態の情報処理装置20で実行されるプログラムは、持ち運び可能な記憶媒体等に予め組み込んで提供されてもよい。 The program executed by the information processing apparatus 20 according to the present embodiment is stored, for example, on a computer connected to a network such as the Internet, and is provided by being downloaded via the network. Further, the program executed by the information processing apparatus 20 of the present embodiment may be provided by being incorporated in a portable storage medium or the like in advance.

 本実施形態の情報処理装置20で実行されるプログラムは、第1取得モジュールと、第2取得モジュールと、差分算出モジュールと、判定モジュールと、アラーム出力モジュールと、推定モジュールと、情報出力モジュールとを含むモジュール構成となっている。CPU201(プロセッサ)は、記憶媒体等からこのようなプログラムを読み出して、上記各モジュールをRAM206(主記憶装置)にロードする。そして、CPU201(プロセッサ)は、このようなプログラムを実行することにより、第1取得部72、第2取得部74、差分算出部76、判定部80、アラーム出力部82、推定部86および情報出力部88として機能する。なお、第1取得部72、第2取得部74、差分算出部76、判定部80、アラーム出力部82、推定部86および情報出力部88の一部または全部がハードウェアにより構成されていてもよい。 The program executed by the information processing apparatus 20 according to the present embodiment includes a first acquisition module, a second acquisition module, a difference calculation module, a determination module, an alarm output module, an estimation module, and an information output module. It has a module configuration that includes. The CPU 201 (processor) reads such a program from a storage medium or the like, and loads the respective modules into the RAM 206 (main storage device). Then, the CPU 201 (processor) executes such a program to obtain the first acquisition unit 72, the second acquisition unit 74, the difference calculation unit 76, the determination unit 80, the alarm output unit 82, the estimation unit 86, and the information output. It functions as the section 88. Note that even if part or all of the first acquisition unit 72, the second acquisition unit 74, the difference calculation unit 76, the determination unit 80, the alarm output unit 82, the estimation unit 86, and the information output unit 88 are configured by hardware. Good.

 以上、本発明の実施形態を説明したが、これらの実施形態は、例として提示したものであり、発明の範囲を限定することは意図していない。実施形態は、種々の変更を行うことができる。 While the embodiments of the present invention have been described above, these embodiments are presented as examples and are not intended to limit the scope of the invention. The embodiment can make various changes.

10 センシングシステム
18 車両
20 情報処理装置
30 センサ装置
32 シート
34 フィルタ
36 第1ファン
38 第2ファン
40 センサユニット
48 通信部
50 制御部
52 電池
58 支持部
60 ガス検出素子
62 駆動検出回路
68 壁
72 第1取得部
74 第2取得部
76 差分算出部
78 パターン記憶部
80 判定部
82 アラーム出力部
84 ログ記憶部
86 推定部
88 情報出力部
90 アラーム画像
94 第1センサ
96 第2センサ
Reference Signs List 10 sensing system 18 vehicle 20 information processing device 30 sensor device 32 seat 36 filter 36 first fan 38 second fan 40 sensor unit 48 communication unit 50 control unit 52 battery 58 support unit 60 gas detection element 62 drive detection circuit 68 wall 72 second 1 Acquisition Unit 74 Second Acquisition Unit 76 Difference Calculation Unit 78 Pattern Storage Unit 80 Determination Unit 82 Alarm Output Unit 84 Log Storage Unit 86 Estimation Unit 88 Information Output Unit 90 Alarm Image 94 First Sensor 96 Second Sensor

Claims (12)

 対象物体の近傍の空気に含まれる匂いの原因物質の量を検出する少なくとも1つの検出素子を含むセンサ装置と、
 前記少なくとも1つの検出素子のそれぞれの検出値を表すパターンに基づき、前記対象物体の近傍の空気の匂いの強さを判定する判定部と、前記対象物体の近傍の空気の匂いの強さが予め定められた閾値より大きい場合にアラームを出力するアラーム出力部とを有する情報処理装置と、
 を備えるセンシングシステム。
A sensor device comprising at least one detection element for detecting the amount of odor causing material contained in the air in the vicinity of the target object;
A determination unit that determines the intensity of the odor of the air near the target object based on the pattern representing the detection value of each of the at least one detection element; and the intensity of the odor of the air near the target object in advance An information processing apparatus having an alarm output unit that outputs an alarm when the threshold value is larger than a predetermined threshold value;
Sensing system equipped with
 前記センサ装置は、所定時間毎に、匂いの原因物質の量を検出し、
 前記判定部は、前記センサ装置が匂いの原因物質の量を検出する毎に、前記対象物体の近傍の空気の匂いの強さを判定する
 請求項1に記載のセンシングシステム。
The sensor device detects the amount of odor causing substance every predetermined time,
The sensing system according to claim 1, wherein the determination unit determines the intensity of the odor of air in the vicinity of the target object each time the sensor device detects the amount of the odor causing substance.
 前記センサ装置は、前記対象物体の近傍の空気に含まれる匂いの原因物質を除去するフィルタと、前記少なくとも1つの検出素子を含むセンサユニットとを有し、
 前記情報処理装置は、前記少なくとも1つの検出素子のそれぞれの前記フィルタを通過した空気に含まれる匂いの原因物質の量を示す検出値と、前記少なくとも1つの検出素子のそれぞれの前記フィルタを通過していない空気に含まれる匂いの原因物質の量を示す検出値との差を算出する差分算出部をさらに有し、
 前記判定部は、算出した前記差に基づき、空気の匂いを判定する
 請求項1または2に記載のセンシングシステム。
The sensor device has a filter that removes odor causing substances contained in the air near the target object, and a sensor unit that includes the at least one detection element.
The information processing apparatus passes through the filter of each of the at least one detection element, and a detection value indicating the amount of odor causing material contained in the air that has passed through the filter of each of the at least one detection element. The system further includes a difference calculation unit that calculates a difference between the detected value that indicates the amount of odor-causing substance contained in air,
The sensing system according to claim 1, wherein the determination unit determines the odor of air based on the calculated difference.
 前記センサ装置は、
 前記フィルタを通過させて前記センサユニットに供給する第1ファンと、
 前記フィルタを通過させずに前記センサユニットに供給する第2ファンと、
 をさらに有する請求項3に記載のセンシングシステム。
The sensor device is
A first fan passing through the filter and supplying the sensor unit;
A second fan that supplies the sensor unit without passing through the filter;
The sensing system according to claim 3, further comprising:
 前記センサ装置は、前記第1ファンを動作させて前記第2ファンを停止させる第1モードと、前記第1ファンを停止させて前記第2ファンを動作させる第2モードとを切り換える制御部をさらに有し、
 前記差分算出部は、前記第1モードにおける前記少なくとも1つの検出素子のそれぞれの検出値と、前記第2モードにおける前記少なくとも1つの検出素子のそれぞれの検出値との差を算出する
 請求項4に記載のセンシングシステム。
The sensor device further includes a control unit that switches between a first mode in which the first fan is operated to stop the second fan and a second mode in which the first fan is stopped to operate the second fan. Have
The difference calculation unit calculates a difference between a detection value of each of the at least one detection element in the first mode and a detection value of each of the at least one detection element in the second mode. Sensing system described.
 前記情報処理装置は、複数の種類の匂い毎に、1以上の基準パターンを紐付けて記憶するパターン記憶部をさらに有し、
 前記基準パターンは、前記少なくとも1つの検出素子のそれぞれの、対応する匂いの空気に含まれる匂いの原因物質の量を示す検出値を表し、
 前記判定部は、前記少なくとも1つの検出素子のそれぞれの前記フィルタを通過した空気に含まれる匂いの原因物質の量を示す検出値と、前記少なくとも1つの検出素子のそれぞれの前記フィルタを通過していない空気に含まれる匂いの原因物質の量を示す検出値との差を表す差分パターンと、前記基準パターンとをマッチングして、空気の匂いの種類を判定する
 請求項3に記載のセンシングシステム。
The information processing apparatus further includes a pattern storage unit that associates and stores one or more reference patterns for each of a plurality of types of odors,
The reference pattern represents a detection value indicating the amount of odor causing material contained in the air of the corresponding odor of each of the at least one detection element,
The determination unit is configured to pass through the filter of each of the at least one detection element, and a detection value indicating the amount of odor causing material contained in the air that has passed through the filter of each of the at least one detection element. The sensing system according to claim 3, wherein the type of the odor of air is determined by matching the difference pattern representing the difference between the detected value indicating the amount of the odor causing substance contained in the air and the reference pattern.
 前記情報処理装置は、前記差分パターンと前記差分パターンの基となる前記少なくとも1つの検出素子の検出値の取得時刻とに基づき、前記取得時刻より後の第1時刻における前記差分パターンを推定し、前記第1時刻における空気の匂いを判定する推定部をさらに有する
 請求項6に記載のセンシングシステム。
The information processing apparatus estimates the difference pattern at a first time after the acquisition time, based on the difference pattern and an acquisition time of detection values of the at least one detection element that is a basis of the difference pattern. The sensing system according to claim 6, further comprising an estimation unit that determines an odor of air at the first time.
 乗車者が座るシートと、前記シートに近接して設けられ、前記シートの近傍の空気に含まれる匂い原因物質の量を検出する少なくとも1つの検出素子を含むセンサ装置と、を有する車両と、
 前記少なくとも1つの匂い検出素子のそれぞれの検出値を表すパターンに基づき、前記シートの近傍の空気の匂いの強さを判定する判定部と、前記シートの近傍の空気の匂いの強さが予め定められた閾値より大きい場合にアラームを出力するアラーム出力部とを有する情報処理装置と、
 を備えるセンシングシステム。
A vehicle having a seat on which a passenger sits and a sensor device provided in proximity to the seat and including at least one detection element that detects an amount of an odor causing substance contained in air near the seat;
A determination unit that determines the intensity of the odor of the air near the sheet based on the pattern representing the detection value of each of the at least one odor detection element; and the intensity of the odor of the air near the sheet is predetermined An information processing apparatus having an alarm output unit that outputs an alarm when the threshold value is larger than the threshold value;
Sensing system equipped with
 前記センサ装置は、車内に乗車者が存在しない場合に、前記シートの近傍の空気に含まれる匂いの原因物質の量を検出する
 請求項8に記載のセンシングシステム。
9. The sensing system according to claim 8, wherein the sensor device detects an amount of an odor causing substance contained in air in the vicinity of the seat when a passenger is not present in a car.
 情報処理装置に、
 少なくとも1つの検出素子を含むセンサ装置から、対象物体の近傍の空気に含まれる匂いの原因物質の量を取得する取得ステップと、
 前記少なくとも1つの検出素子のそれぞれの検出値を表すパターンに基づき、前記対象物体の近傍の空気の匂いの強さを判定する判定ステップと、
 前記対象物体の近傍の空気の匂いの強さが予め定められた閾値より大きい場合にアラームを出力するアラーム出力ステップと、
 を実行させるためのプログラム。
In the information processing apparatus,
Acquiring, from a sensor device including at least one detection element, an amount of an odor causing substance contained in air in the vicinity of the target object;
A determination step of determining the intensity of the odor of air in the vicinity of the target object based on a pattern representing a detection value of each of the at least one detection element;
An alarm output step of outputting an alarm when the intensity of the odor of air in the vicinity of the target object is larger than a predetermined threshold value;
A program to run a program.
 少なくとも1つの検出素子を含むセンサ装置から、対象物体の近傍の空気に含まれる匂いの原因物質の量を取得する取得部と、
 前記少なくとも1つの検出素子のそれぞれの検出値を表すパターンに基づき、前記対象物体の近傍の空気の匂いの強さを判定する判定部と、
 前記対象物体の近傍の空気の匂いの強さが予め定められた閾値より大きい場合にアラームを出力するアラーム出力部と、
 を備える情報処理装置。
An acquisition unit configured to acquire an amount of an odor causing substance contained in air in the vicinity of the target object from a sensor device including at least one detection element;
A determination unit that determines the intensity of the odor of air in the vicinity of the target object based on a pattern representing the detection value of each of the at least one detection element;
An alarm output unit that outputs an alarm when the odor intensity of air in the vicinity of the target object is larger than a predetermined threshold value;
An information processing apparatus comprising:
 少なくとも1つの検出素子を含むセンサ装置から、対象物体の近傍の空気に含まれる匂いの原因物質の量を取得し、
 前記少なくとも1つの検出素子のそれぞれの検出値を表すパターンに基づき、前記対象物体の近傍の空気の匂いの強さを判定し、
 前記対象物体の近傍の空気の匂いの強さが予め定められた閾値より大きい場合にアラームを出力する
 情報処理方法。
Obtaining from the sensor device including at least one detection element the amount of odor causing substance contained in the air in the vicinity of the target object;
Determining an odor intensity of air in the vicinity of the target object based on a pattern representing a detection value of each of the at least one detection element;
An information processing method comprising: outputting an alarm when the intensity of the odor of air in the vicinity of the target object is larger than a predetermined threshold.
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