JP2018013828A - State monitoring device, state monitoring system and program - Google Patents

Abstract

A state monitoring device, a state monitoring system, and a program capable of remotely monitoring the maintenance state of an object to be monitored are provided. A monitoring server (1) for monitoring a monitoring target using a sensor (3) includes state data representing the state of the monitoring target detected by the sensor (3), and time data enabling the acquisition order of the state data to be grasped. A sensor data receiving unit 11 for receiving data, a normal pattern table 25 for storing normal patterns according to the ordered state data, and a sensor data receiving unit 11 based on the time data of the sensor data. A pattern acquisition unit 12 that acquires target patterns arranged in series, and a pattern determination unit 13 that determines whether or not the target patterns acquired by the pattern acquisition unit 12 include normal patterns stored in a normal pattern table 25. , and a result storage control unit 14 for storing the result of determination by the pattern determination unit 13 in the result storage unit 27 . [Selection drawing] Fig. 1

Description

  The present invention relates to a state monitoring device, a state monitoring system, and a program.

Conventionally, for example, a beer server may be installed in a store such as a restaurant that provides beer to customers. In a beer server, a tank containing beer is exchanged, but a tube used when pouring beer into a glass or the like is used permanently without being exchanged. Therefore, in order to maintain the quality of beer, daily maintenance such as washing the tube is important.
Thus, for example, a technique for determining the state of the liquid flowing in the liquid distribution tube and the quality of the liquid tube is disclosed (for example, Patent Document 1).

Japanese Patent No. 5349759

In the case of the above example, if the operating company that operates the restaurant or the manufacturer that provides beer wants to know whether the employees of the store such as the restaurant are performing daily maintenance, It was necessary to go around the store and check the monitoring target.
Therefore, an object of the present invention is to provide a state monitoring device, a state monitoring system, and a program that can remotely monitor a maintenance state for a monitoring target.

  The present invention solves the above problems by the following means. In addition, in order to make an understanding easy, although the code | symbol corresponding to embodiment of this invention is attached | subjected and demonstrated, it is not limited to this. In addition, the configuration described with reference numerals may be improved as appropriate, or at least a part thereof may be replaced with another configuration.

A first invention is a state monitoring device (1) that monitors a monitoring target using a sensor (3), and acquires state data indicating the state of the monitoring target detected by the sensor and the state data Receiving means (11) for receiving sensor data including acquisition related data capable of grasping the order, a pattern storage unit (25) for storing a judgment pattern based on the ordered state data, and received by the receiving means Based on the acquisition-related data of sensor data, pattern acquisition means (12) for acquiring a target pattern in which the state data is arranged in order, and the target pattern acquired by the pattern acquisition means are stored in the pattern storage unit A pattern determination unit (13) for determining whether or not the determination pattern is included, and a determination result by the pattern determination unit Further comprising a result storage means for 憶 (14), and a state monitoring apparatus according to claim.
In a second aspect of the invention, in the state monitoring device (1) of the first aspect of the invention, an informing means (15) for informing when the pattern judging means (13) determines that the target pattern does not include the judgment pattern. It is a state monitoring apparatus characterized by providing.
According to a third aspect of the present invention, in the state monitoring device (1) of the second aspect, the pattern storage unit (25) stores a plurality of different determination patterns, and the pattern determination means (13) Is included in any one of the plurality of determination patterns stored in the pattern storage unit, and the notification unit (15) determines whether the target pattern is the plurality of determination patterns by the pattern determination unit. It is a state monitoring device characterized by notifying when it is determined that it is not included in any of the above.
According to a fourth aspect of the present invention, in the state monitoring device (1) of the second or third aspect, the acquisition-related data is data capable of grasping the acquired time, and the pattern storage unit (25) The determination pattern and frequency data related to the frequency of the determination pattern are stored in association with each other, and the pattern determination unit (13) is included in the determination pattern in which the target pattern is stored in the pattern storage unit, And it is determined whether the frequency of the target pattern is equal to or higher than the frequency data associated with the determination pattern based on the acquisition related data, and the notification means (15) The frequency in which the frequency of the target pattern is associated with the determination pattern even when the target pattern is included in the determination pattern by the determination unit When less than over data, to the notification, the state monitoring apparatus according to claim.
According to a fifth aspect of the present invention, in the state monitoring device (1) from the second aspect to the fourth aspect, the acquisition-related data is data that can grasp the acquired time, and the pattern storage unit ( 25) associates and stores the determination pattern and permission time data permitting the determination pattern, and the pattern determination means (13) stores the determination in which the target pattern is stored in the pattern storage unit. Determining whether or not at least a part of the appearance time of the target pattern is included in the permission time data associated with the determination pattern based on the acquisition related data and the notification The means (15) may include at least one of the target patterns even if the target pattern is included in the determination pattern by the pattern determination means. When the time of appearance is judged not included in the permission time data associated with the determination pattern, that the notification is a state monitoring apparatus according to claim.
A sixth invention is a state monitoring system (100) comprising any of the state monitoring devices (1) from the first invention to the fifth invention, and the sensor (3), wherein the sensor A state monitoring system that acquires a detection value and transmits sensor data including the state data based on the acquired detection value and the acquisition related data to the state monitoring device.
A seventh invention includes a relay device (4) that mediates between the sensor (3) and the status monitoring device (1) in the status monitoring system (100) of the sixth invention, wherein the sensor includes the sensor State data is transmitted to the relay device, and the relay device transmits the sensor data including the plurality of state data received from the sensor to the state monitoring device. It is a state monitoring system.
According to an eighth aspect of the present invention, in the state monitoring system (100) of the sixth aspect or the seventh aspect, the sensor is attached to a tube through which a liquid passes and detects a passing object passing through the inside of the tube. In the state monitoring system, the determination pattern stored in the pattern storage unit (25) is at least one of normal and abnormal patterns related to cleaning by the combination of the passing objects.
A ninth invention is a program for causing a computer to function as a state monitoring device that monitors a monitoring target using a sensor, wherein the computer includes state data representing a state of the monitoring target detected by the sensor; Based on the acquisition related data of the sensor data received by the receiving means, receiving means for receiving sensor data including acquisition related data capable of grasping the order of acquiring the status data, the status data are arranged in order. Determining whether or not the target pattern acquired by the pattern acquisition unit includes the determination pattern of the pattern storage unit that stores the determination pattern based on the ordered state data Pattern determination means to perform, and results of storing determination results by the pattern determination means And 憶 means, a program to function as a.

  According to the present invention, it is possible to provide a state monitoring device, a state monitoring system, and a program that can remotely monitor a maintenance state for a monitoring target.

It is a figure which shows the whole structure of the state monitoring system which concerns on this embodiment. It is a figure which shows the functional block of the monitoring server which concerns on this embodiment. It is a figure which shows the example of the memory | storage part of the monitoring server which concerns on this embodiment. It is a flowchart which shows the sensor data process in the state monitoring system which concerns on this embodiment. It is a flowchart which shows the verification process in the monitoring server which concerns on this embodiment. It is a flowchart which shows the pattern determination process in the monitoring server which concerns on this embodiment. It is a figure for demonstrating the specific example of the verification process in the monitoring server which concerns on this embodiment. It is a flowchart which shows the alerting | reporting process in the monitoring server which concerns on this embodiment.

DESCRIPTION OF EMBODIMENTS Hereinafter, embodiments for carrying out the present invention will be described with reference to the drawings. This is merely an example, and the technical scope of the present invention is not limited to this.
(Embodiment)
FIG. 1 is a diagram showing an overall configuration of a state monitoring system 100 according to the present embodiment.
FIG. 2 is a diagram illustrating functional blocks of the monitoring server 1 according to the present embodiment.
FIG. 3 is a diagram illustrating an example of the storage unit 20 of the monitoring server 1 according to the present embodiment.
A state monitoring system 100 shown in FIG. 1 is a system for remotely monitoring the sanitary state of a beer server (not shown) provided in each store 9 (9A, 9B, 9C,...). In the state monitoring system 100, the relay device 4 acquires state data indicating the state of the tube detected by the sensor 3 provided in the tube (monitoring target) of the beer server from the sensor 3, and sends the sensor data to the monitoring server 1. Send. In the state monitoring system 100, the monitoring server 1 (state monitoring device) arranges the received sensor data in time series (order), thereby determining the state based on the detection of the sensor 3 and storing the determination result. Thereby, in the state monitoring system 100, the state based on the detection of the sensor 3 for every store 9 can be output to the terminal 5 of the management company C.

The state monitoring system 100 includes a monitoring server 1, a sensor 3, a relay device 4, and a terminal 5. The monitoring server 1, the relay device 4, and the terminal 5 are connected to be communicable via a communication network N. The communication network N is a wide area network of an Internet connection line such as a public line, a mobile phone line (for example, 3G (3rd Generation) or LTE (Long Term Evolution)).
The sensor 3 and the relay device 4 are provided in each store 9. The sensor 3 and the relay device 4 can communicate with each other by performing short-range wireless communication using, for example, NFC (Near Field Communication) or BLE (Bluetooth (registered trademark) Low Energy). .

  The store 9 is a restaurant such as a pub. The store 9 is provided with one relay device 4 and one or more sensors 3. For example, the store 9 </ b> A and the store 9 </ b> B each include one sensor 3 and one relay device 4. In addition, the store 9 </ b> C includes two sensors 3 for one relay device 4.

<Monitoring server 1>
The monitoring server 1 receives sensor data including state data detected by the sensor 3 via the relay device 4. And the monitoring server 1 judges the state based on the detection of the sensor 3 with the received sensor data. Specifically, the monitoring server 1 determines whether or not the tube is cleaned based on the tube state data based on the detection of the sensor 3. Moreover, the monitoring server 1 determines whether or not the sensor 3 is securely attached to the tube of the beer server based on the state data based on the detection of the sensor 3.

As shown in FIG. 2, the monitoring server 1 includes a control unit 10, a storage unit 20, and a communication interface unit 29.
The control unit 10 is a CPU (central processing unit) that controls the entire monitoring server 1. The control unit 10 executes various functions in cooperation with the hardware described above by appropriately reading and executing an OS (operating system), an application program, and the like stored in the storage unit 20.
The control unit 10 includes a sensor data reception unit 11 (reception unit), a pattern acquisition unit 12 (pattern acquisition unit), a pattern determination unit 13 (pattern determination unit), a result storage control unit 14 (result storage unit), A notification unit 15 (notification unit) and a state output unit 16 are provided.

The sensor data receiving unit 11 receives sensor data from the relay device 4. The sensor data includes state data and time data (acquisition related data). The state data is data that is aggregated and processed based on the detection data detected by the sensor 3, and specifically, “sponge”, “water”, “beer” based on the detection data value (detection value). ”And“ others ”excluding them. In addition, when status data becomes "others", the case where the sensor 3 is not mounted | worn with the tube of a beer server etc. can be considered, for example. The time data is, for example, data on the reception date and time when the relay device 4 receives the state data from the sensor 3.
The pattern acquisition unit 12 arranges the received sensor data in time series based on the time data, acquires the pattern indicated by the state data, and sets the pattern as the target pattern.

The pattern determination unit 13 determines whether the target pattern acquired by the pattern acquisition unit 12 includes a normal pattern (determination pattern) stored in the normal pattern table 25.
Here, when a plurality of normal patterns are stored in the normal pattern table 25, the pattern determination unit 13 may determine whether the target pattern includes any of the plurality of normal patterns.
Moreover, the pattern determination part 13 may determine whether the frequency of a target pattern is more than the frequency of a normal pattern, when the frequency of a normal pattern is matched.
Furthermore, the pattern determination unit 13 may determine whether or not at least a part of the target pattern appears within the time of the normal pattern when time is associated with the normal pattern.

The result storage control unit 14 stores the determination result by the pattern determination unit 13 in the result storage unit 27.
When the pattern determination unit 13 determines that the target pattern does not include a normal pattern, the notification unit 15 transmits an email to the email address of the person in charge of the management company C.
The state output unit 16 outputs the determination result stored in the result storage unit 27 in response to a request from the terminal 5.

The storage unit 20 is a storage area such as a hard disk or a semiconductor memory element for storing programs, data, and the like necessary for executing the control unit 10.
Here, the computer refers to an information processing device including a control unit, a storage device, and the like, and the monitoring server 1 is an information processing device including the control unit 10, the storage unit 20 and the like, and is included in the concept of a computer. .
The storage unit 20 includes a program storage unit 21, a sensor DB (database) 22, a person-in-charge DB 23, a state data table 24, a normal pattern table 25, a sensor data storage unit 26, and a result storage unit 27. .

The program storage unit 21 is a storage area for storing various programs. The program storage unit 21 stores a server program 21a. The server program 21a is a program for performing various functions executed by the control unit 10 of the monitoring server 1.
The sensor DB 22 is a database related to the sensor 3. As shown in FIG. 3A, the sensor DB 22 associates a sensor ID (IDentification), a store ID, and a person-in-charge ID. The sensor ID is identification information for identifying the sensor 3. The store ID is identification information for identifying the store 9 in which the sensor 3 is installed. The person-in-charge ID is identification information for identifying the person in charge of the management company C. In addition, sensor DB22 is not limited to these items, For example, you may have other items, such as a store name.

The person-in-charge DB 23 is a database related to persons in charge at the management company C. As shown in FIG. 3B, the person-in-charge DB 23 associates a person-in-charge ID with an e-mail address. The person-in-charge DB 23 is not limited to these items, and may include other items such as a person-in-charge name and a region name in charge.
The state data table 24 is a table that stores state data. As shown in FIG. 3C, the state data table 24 associates state data with state names. In the example shown in FIG. 3C, the state data has values from “1” corresponding to “sponge” to “4” corresponding to “other”.

  The normal pattern table 25 is a table that stores a normal pattern indicating a state when the tube is normally cleaned. As shown in FIG. 3D, the normal pattern table 25 stores a pattern code, a pattern, a frequency, and a time in association with each other. The pattern code is identification information for identifying a normal pattern. The pattern shows a normal pattern indicating a state when the tube is normally cleaned in time series as a transition of state data. The frequency is the frequency at which the pattern appears. Time is the time that the pattern can appear.

  Here, the pattern code “P01” indicates a water washing pattern of the tube that must be performed every day. The pattern “3 → 2 → 3” indicates a case where “water” is included between “beer” and “beer”. This is a pattern in the case where after providing “beer” to the customer, the tube is washed by passing “water”, and then “beer” is provided to the customer again. Here, the pattern code “P01” has no time restriction because it is a cleaning that only allows “water” to pass therethrough.

  The pattern code “P02” indicates a cleaning pattern using a sponge that must be performed once a week. The pattern “3 → 1 → 2 → 3” indicates a case where “sponge” and “water” are detected in the order “sponge” → “water” between “beer” and “beer”. This is a pattern in which after providing "beer" to the customer, rub the tube with "sponge", wash the tube through "water", and then provide "beer" to the customer again . Here, since the pattern code “P02” is rubbed with “sponge”, it is an operation performed after the store is closed, and time is limited.

The sensor data storage unit 26 is a storage area for storing sensor data received from the relay device 4. As shown in FIG. 3E, the sensor data storage unit 26 stores the date and time, the sensor ID, and the state data in association with each other. The date and time is, for example, the date and time indicated by the time data, and indicates the reception date and time when the relay device 4 has received the status data from the sensor 3.
The result storage unit 27 is a storage area for storing the determination result by the pattern determination unit 13. As shown in FIG. 3F, the result storage unit 27 stores the verification date, sensor ID, pattern code, and status in association with each other. The status is a status indicating a state based on the detection of the sensor 3. The contents of the status will be described later.
Returning to FIG. 2, the communication interface unit 29 is an interface for performing communication with the relay device 4 and the terminal 5.

<Sensor 3>
Returning to FIG. 1, the sensor 3 is, for example, an optical sensor. The sensor 3 is attached to a tube of a beer server (not shown) so as to sandwich the tube, for example. And the sensor 3 can identify the passing substance which passes a tube according to the light quantity, when the light-receiving part which is not shown light-receives the light which the light-emitting part which is not shown sends. Then, the sensor 3 is associated with the range of the light quantity that is the detection data, and the status data “1” to “3” and “4” that is outside the range from “1” to “3” (see FIG. 3 (C)).

<Relay device 4>
The relay device 4 is, for example, a GW (gateway). The relay device 4 generates sensor data including time data indicating the date and time when the status data is received in the status data received from the sensor 3, and transmits the sensor data to the monitoring server 1. The relay device 4 includes a control unit, a storage unit, a communication interface unit (all not shown), and the like.

<Terminal 5>
The terminal 5 is provided in the management company C and can inquire about the state based on the detection of the sensor 3 stored in the monitoring server 1. The management company C is, for example, a management department in the head office of a restaurant, a management department of a manufacturer that manufactures beverages, or the like.
The terminal 5 is, for example, a PC (personal computer). And the terminal 5 is provided with a control part, a memory | storage part, a communication interface part, a display part, an input part (all are not shown), etc.

Next, processing in the state monitoring system 100 will be described.
First, the process in which the monitoring server 1 receives sensor data will be described.
FIG. 4 is a flowchart showing sensor data processing in the state monitoring system 100 according to the present embodiment.
First, processing in the relay device 4 will be described. Here, although the process regarding the relay apparatus 4 installed in a certain store 9 is demonstrated, the same process is performed also in the relay apparatus 4 installed in the other store 9. FIG.
The processing in the relay device 4 is always executed while the power (not shown) of the relay device 4 is turned on, for example.

In step S (hereinafter referred to as “S”) 10, the control unit of the relay device 4 acquires state data from the sensor 3. Here, the control unit of the relay device 4 may acquire data from the sensor 3 by transmitting a signal to the sensor 3 every other minute, for example. Moreover, the control part of the relay apparatus 4 may acquire the data which the sensor 3 transmits spontaneously.
In S11, the control unit of the relay device 4 determines whether a predetermined time has elapsed. The predetermined time is a time for transmitting sensor data to the monitoring server 1 and is, for example, 10 minutes. When the predetermined time has elapsed (S11: YES), the control unit of the relay device 4 moves the process to S12. On the other hand, when the predetermined time has not elapsed (S11; NO), the control unit of the relay device 4 stops the process at S11 and waits until the predetermined time elapses.
In S <b> 12, the control unit of the relay device 4 transmits sensor data including the acquired time data, state data, and sensor ID to the monitoring server 1. Thereafter, the control unit of the relay device 4 moves the process to S10 as long as it does not accept an operation to turn off the power, acquires the state data from the sensor 3, and transmits the sensor data to the monitoring server 1. repeat.

Next, processing in the monitoring server 1 will be described. The monitoring server 1 performs this process on the sensor data received from the relay device 4 provided in each of the plurality of stores 9. The processing in the monitoring server 1 is always executed while the monitoring server 1 is powered on (not shown).
In S <b> 15, the control unit 10 (sensor data receiving unit 11) of the monitoring server 1 determines whether sensor data has been received from the relay device 4 of any store 9. When the sensor data is received (S15: YES), the control unit 10 moves the process to S16. On the other hand, when sensor data has not been received (S15: NO), the control unit 10 stops the process at S15 and waits until sensor data is received.
In S <b> 16, the control unit 10 stores sensor data in the sensor data storage unit 26. Thereafter, the control unit 10 moves the process to S15.

  As described above, the monitoring server 1 can receive sensor data from the relay device 4 installed in each store 9 by sensor data processing, and accumulate the sensor data in the sensor data storage unit 26. The sensor data is data including state data based on detection by the sensor 3 provided in the beer server of the store 9. Therefore, the monitoring server 1 can store the state based on the detection of the sensor 3 provided in the beer server of each store 9 in the sensor data storage unit 26.

Next, processing in the monitoring server 1 using sensor data will be described.
FIG. 5 is a flowchart showing verification processing in the monitoring server 1 according to the present embodiment.
FIG. 6 is a flowchart showing the pattern determination process in the monitoring server 1 according to the present embodiment.
The verification process shown in FIG. 5 is executed at a predetermined timing such as once a day.

In S <b> 40 of FIG. 5, the control unit 10 of the monitoring server 1 selects one sensor ID from the sensor DB 22.
In S41, the control unit 10 selects one pattern code from the normal pattern table 25.
In S <b> 42, the control unit 10 (result storage control unit 14) adds a record to the result storage unit 27. Specifically, the control unit 10 sets a record in which the verification date is the current date, the sensor ID is the sensor ID selected in S40, the pattern code is the pattern code selected in S41, and the status is “0”. to add. Here, the status “0” indicates that the verification processing is not performed.

In S43, the control unit 10 extracts the sensor data of the selected sensor ID corresponding to the frequency of the selected pattern code from the sensor data storage unit 26. With reference to the normal pattern table 25 shown in FIG. 3D, for example, if the pattern code is “P01”, the frequency is daily, so the control unit 10 extracts sensor data for the latest one day. If the pattern code is “P02”, since the frequency is once a week, the control unit 10 extracts sensor data for the latest seven days. This is merely an example. When the frequency is daily, sensor data for the latest two days may be extracted in consideration of the date and time when the verification process is performed.
In S44, the control unit 10 (pattern acquisition unit 12) arranges the extracted sensor data in time series based on the date and time, and acquires the target pattern indicated by the arranged state data.
In S45, the control unit 10 (pattern determination unit 13) performs a pattern determination process.

Here, the pattern determination process will be described with reference to FIG.
In S60 of FIG. 6, the control unit 10 (pattern determination unit 13) determines whether or not the pattern of the selected pattern code is included in the target pattern. If included (S60: YES), the controller 10 moves the process to S61. On the other hand, when not included (S60: NO), the control part 10 moves a process to S65.
In S61, the control unit 10 (pattern determination unit 13) determines whether or not the appearance time of the target pattern is within the time of the selected pattern code. If it is within the time (S61: YES), the control unit 10 moves the process to S62. On the other hand, when it is not within time (S61: NO), the control part 10 moves a process to S63.
Note that the control unit 10 may determine whether or not all the appearance times of the target pattern are within the time of the selected pattern code, and some of the appearance times of the target pattern are selected. It may be determined whether it is within the time of the pattern code. If there is no time restriction on the selected pattern code, that is, if the time of the normal pattern table 25 is blank, the control unit 10 moves the process to S62.

In S <b> 62, the control unit 10 (result storage control unit 14) sets “1” to the status of the record added to the result storage unit 27. Here, the status “1” means a case where the pattern of the selected pattern code is included in the target pattern together with its time and frequency. Then, the control part 10 complete | finishes this process, and moves a process to FIG.
On the other hand, in S63, the control unit 10 (result storage control unit 14) sets “2” to the status of the record added to the result storage unit 27. Here, the status “2” means that the pattern of the selected pattern code is included in the target pattern, but the time is not within the specified time.
In S64, the control unit 10 (notification unit 15) performs a notification process described later. Then, the control part 10 complete | finishes this process, and moves a process to FIG.

In S <b> 65, the control unit 10 (result storage control unit 14) sets “3” to the status of the record added to the result storage unit 27. Here, the status “3” means that the pattern of the selected pattern code is not included in the target pattern.
In S66, the control unit 10 (notification unit 15) performs a notification process described later. Then, the control part 10 complete | finishes this process, and moves a process to FIG.

Returning to FIG. 5, in S <b> 46, the control unit 10 determines whether or not all the pattern codes stored in the normal pattern table 25 have been processed. If all the pattern codes have been processed (S46: YES), the control unit 10 moves the process to S48. On the other hand, when all the pattern codes have not been processed (S46: NO), the control unit 10 moves the process to S47.
In S47, the control unit 10 selects one unprocessed pattern code from the normal pattern table 25. Thereafter, the control unit 10 moves the process to S42.

In S <b> 48, the control unit 10 determines whether or not processing has been performed for all sensor IDs stored in the sensor DB 22. When the process is performed for all the sensor IDs (S48: YES), the control unit 10 ends this process. On the other hand, when the process is not performed on all the sensor IDs (S48: NO), the control unit 10 moves the process to S49.
In S49, the control unit 10 selects one unprocessed sensor ID from the sensor DB 22. Thereafter, the control unit 10 moves the process to S41.

<Specific example>
Next, a specific example of the verification process will be described with reference to FIG.
FIG. 7 is a diagram for explaining a specific example of the verification process in the monitoring server 1 according to the present embodiment.
FIG. 7A shows data related to one sensor 3 (sensor ID is “S0001”) among the sensor data stored in the sensor data storage unit 26.
First, the pattern code “P01” is selected by the control unit 10 (S41 in FIG. 5), and a record 27a is added to the result storage unit 27 as shown in FIG. 7B (S42 in FIG. 5). . At this time, the status of the record 27a is “0”.

Next, the control unit 10 extracts sensor data corresponding to the frequency of the pattern code “P01” (S43 in FIG. 5). In this example, since the frequency is daily, for example, data for one day whose date is “2016/3/4” is extracted.
And the control part 10 acquires a target pattern (S44 of FIG. 5). Here, the pattern “3 → 2 → 3” indicated by (# 1) in FIG. 7A can be acquired.
Since this target pattern includes the pattern of the pattern code “P01” (see FIG. 3D) (YES in S60 of FIG. 6), the control unit 10 records the record in the result storage unit 27 shown in FIG. 7B. “1” is set in the status of 27a (S62 in FIG. 6). Since the pattern code “P01” has no time restriction, YES is selected for the process of S61 in FIG.

Next, since there is an unprocessed pattern code (NO in S46 of FIG. 5), the control unit 10 selects “P02” which is an unprocessed pattern code (S47 of FIG. 5).
Then, a record 27b is added to the result storage unit 27 as shown in FIG. 7B (S42 in FIG. 5). At this time, the status of the record 27b is “0”.
Next, the control unit 10 extracts sensor data corresponding to the frequency of the pattern code “P02” (S43 in FIG. 5). In this example, since the frequency is once a week, for example, data for 7 days from “2016/2/27” to “2016/3/4” is extracted.
And the control part 10 acquires a target pattern (S44 of FIG. 5). Here, “3 → 2 → 3 → 2 → 3 →... → 3 → 1 → 2” including “3 → 1 → 2 → 3” which is the pattern shown by (# 2) in FIG. → 3 → 2 → 3 ”can be acquired.
This target pattern includes the pattern of the pattern code “P02” (see FIG. 3D) (S60 in FIG. 6 is YES), but the time is not in the range of “22:00 to 9 o'clock” (FIG. 6). Since S61 is NO, the control unit 10 sets “2” in the status of the record 27b in the result storage unit 27 shown in FIG. 7B (S63 in FIG. 6).

Next, the notification process will be described.
FIG. 8 is a flowchart showing notification processing in the monitoring server 1 according to the present embodiment.
In S <b> 70, the control unit 10 refers to the sensor DB 22 and extracts a person-in-charge ID corresponding to the sensor ID being processed.
In S <b> 71, the control unit 10 refers to the person-in-charge DB 23 and acquires an e-mail address corresponding to the extracted person-in-charge ID.
In S72, the control unit 10 (notification unit 15) generates and transmits an e-mail in which the content corresponding to the status is described with the e-mail address acquired in S71 as a destination.

For example, when the status is “2”, it indicates that the beer server tube has been washed, but the time is not within the specified time. Therefore, the content of the e-mail may be a caution mail stating that the cleaning time is not a normal time.
Moreover, when the status is “3”, it indicates that the tube of the beer server is not washed. Therefore, the content of the e-mail may be a warning mail stating that the e-mail has not been cleaned.
In addition, the e-mail may include the sensor ID, the name of the store where the sensor 3 of the sensor ID is installed, and the like.
Note that the notification is not limited to e-mail, but may be notification by other messages or the like. Further, the target person to be notified may be sent to a plurality of persons in addition to the person in charge.
Then, the control part 10 complete | finishes this process, and moves a process to FIG.

  Thus, the person in charge who received the e-mail can confirm the state based on the detection of the sensor 3 by the monitoring server 1 performing notification by e-mail. In response to this e-mail, the person in charge can access the monitoring server 1 from the terminal 5 and directly refer to the result storage unit 27. Further, the person in charge can access the monitoring server 1 from the terminal 5 and perform verification again using the sensor data storage unit 26, log data, or the like.

Thus, according to the present embodiment, the state monitoring system 100 has the following effects.
(1) The monitoring server 1 determines whether or not the target pattern obtained by the sensor 3 acquired via the relay device 4 includes a normal pattern, and stores the determination result in the result storage unit 27. Therefore, by referring to the result storage unit 27, a verification result as to whether or not a normal pattern is included can be confirmed.
By constructing such a mechanism, the maintenance state for the tube to which the sensor 3 is attached can be confirmed on the terminal 5, so that the person in charge of the management company C can remotely monitor.

(2) The monitoring server 1 arranges sensor data in time series and acquires a target pattern. Therefore, the target pattern includes the order. Therefore, it can be determined whether the target pattern includes a normal pattern including the order.
(3) Since the monitoring server 1 notifies by e-mail when the target pattern does not include a normal pattern, it can immediately confirm that there is an abnormality.
(4) Since the monitoring server 1 stores a plurality of different normal patterns, verification using a plurality of normal patterns can be performed.
(5) Since the monitoring server 1 has the frequency of the normal pattern, it can determine whether the target pattern includes the normal pattern including the frequency.
(6) Since the monitoring server 1 has the time of the normal pattern, it can determine whether the target pattern includes the normal pattern including the appearance time.

  As mentioned above, although embodiment of this invention was described, this invention is not limited to embodiment mentioned above. In addition, the effects described in the embodiments are merely a list of the most preferable effects resulting from the present invention, and the effects of the present invention are not limited to those described in the embodiments. In addition, although embodiment mentioned above and the deformation | transformation form mentioned later can also be used in combination as appropriate, detailed description is abbreviate | omitted.

(Deformation)
(1) In the present embodiment, the monitoring server has been described by taking an example of receiving sensor data via a relay device, but is not limited thereto. For example, the sensor and the monitoring server may be directly communicably connected, and the monitoring server may receive sensor data directly from the sensor.
(2) In the present embodiment, the relay device that processes and aggregates the data detected by the sensor and receives the sensor data from the sensor has been described as not performing any special processing. However, the present invention is not limited to this. . Data processing and aggregation may be performed by the relay device.
Further, the state data is an example, and there may be other states.
(3) In this embodiment, various DBs have been described as data stored in the storage unit of the monitoring server, but the present invention is not limited to this. The data holding method in the storage unit of the monitoring server is an example, and other holding methods may be used.

(4) In the present embodiment, the case of storing a normal pattern has been described as an example, but the present invention is not limited to this. A pattern that is determined to be abnormal may be stored. Further, both normal and abnormal patterns may be stored.
(5) In the present embodiment, it has been described that it is determined whether or not all of the plurality of normal patterns are satisfied for each sensor 3, and when there is one that does not satisfy even one, notification is given. It is not limited to. When there is a pattern that satisfies even one of the plurality of normal patterns, the notification may not be performed.

(6) In the present embodiment, the monitoring server performs verification based on sensor data for one sensor, but is not limited thereto. For example, when one relay apparatus receives state data from a plurality of sensors, the monitoring server may determine that there is an abnormality when the same state data is stored at the same time. By doing so, it is possible to confirm that the sensors are appropriately mounted on each monitoring target and that a plurality of sensors are not mounted on one monitoring target.
(7) In this embodiment, the sensor provided in the tube of the beer server has been described as an example, but the present invention is not limited to this. As long as there is a determination pattern including the order, it can be used for various other purposes.

DESCRIPTION OF SYMBOLS 1 Monitoring server 3 Sensor 4 Relay apparatus 5 Terminal 9, 9A, 9B, 9C Store 10 Control part 11 Sensor data receiving part 12 Pattern acquisition part 13 Pattern determination part 14 Result storage control part 15 Notification part 16 Status output part 20 Storage part 21a Server program 22 Sensor DB
23 Person in charge DB
24 status data table 25 normal pattern table 26 sensor data storage unit 27 result storage unit 100 status monitoring system C management company N communication network

Claims (9)

A state monitoring device that monitors a monitoring target using a sensor,
Receiving means for receiving sensor data including state data representing the state of the monitoring target detected by the sensor and acquisition related data capable of grasping an order of acquiring the state data;
A pattern storage unit for storing a determination pattern based on the state data that has been ordered;
Based on the acquisition related data of the sensor data received by the receiving means, pattern acquisition means for acquiring a target pattern in which the state data is arranged in order;
Pattern determination means for determining whether or not the target pattern acquired by the pattern acquisition means includes the determination pattern stored in the pattern storage unit;
Result storage means for storing the determination result by the pattern determination means;
Providing
A state monitoring device. In the state monitoring device according to claim 1,
Providing an informing means for informing when the pattern judging means judges that the target pattern does not include the judgment pattern;
A state monitoring device. In the state monitoring device according to claim 2,
The pattern storage unit stores a plurality of different determination patterns,
The pattern determination means determines whether the target pattern is included in any of the plurality of determination patterns stored in the pattern storage unit,
The notification means notifies when the pattern determination means determines that the target pattern is not included in any of the plurality of determination patterns;
A state monitoring device. In the state monitoring device according to claim 2 or claim 3,
The acquisition related data is data capable of grasping the acquired time,
The pattern storage unit stores the determination pattern and frequency data related to the frequency of the determination pattern in association with each other,
The pattern determination means includes the target pattern that is included in the determination pattern stored in the pattern storage unit, and the frequency of the target pattern is associated with the determination pattern based on the acquisition related data. Determine if it is equal to or higher than the frequency data,
The notification means notifies when the frequency of the target pattern is less than the frequency data associated with the determination pattern, even if the target pattern is included in the determination pattern by the pattern determination means. To do,
A state monitoring device. In the state monitoring apparatus in any one of Claim 2 to Claim 4,
The acquisition related data is data capable of grasping the acquired time,
The pattern storage unit stores the determination pattern and permission time data permitting the determination pattern in association with each other,
The pattern determination means includes the determination pattern in which the target pattern is included in the determination pattern stored in the pattern storage unit, and at least a part of the target pattern appears based on the acquisition related data. Whether it is included in the permission time data associated with
The notification means is the permission time data in which at least a part of the appearance time of the target pattern is associated with the determination pattern, even when the target pattern is included in the determination pattern by the pattern determination means. Notification when it is determined that it is not included in
A state monitoring device. A state monitoring device according to any one of claims 1 to 5,
The sensor;
A state monitoring system comprising:
The sensor acquires a detection value, and transmits sensor data including the state data based on the acquired detection value and the acquisition related data to the state monitoring device;
A condition monitoring system. In the state monitoring system according to claim 6,
A relay device that mediates the sensor and the state monitoring device;
The sensor transmits the state data to the relay device,
The relay device transmits the sensor data including the plurality of state data received from the sensor to the state monitoring device;
A condition monitoring system. In the state monitoring system according to claim 6 or 7,
The sensor is attached to a tube through which a liquid passes and detects a passing object passing through the inside of the tube.
The determination pattern stored in the pattern storage unit is at least one of normal and abnormal patterns related to cleaning by the combination of passing objects,
A condition monitoring system. A program for causing a computer to function as a state monitoring device that monitors a monitoring target using a sensor,
The computer,
Receiving means for receiving sensor data including state data representing the state of the monitoring target detected by the sensor and acquisition related data capable of grasping an order of acquiring the state data;
Based on the acquisition related data of the sensor data received by the receiving means, pattern acquisition means for acquiring a target pattern in which the state data is arranged in order;
A pattern determination unit that determines whether the target pattern acquired by the pattern acquisition unit includes the determination pattern of a pattern storage unit that stores the determination pattern based on the ordered state data;
Result storage means for storing the determination result by the pattern determination means;
Program to function as.

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