CN1291602C - Information monitoring providing apparatus and information monitoring providing method - Google Patents

Abstract

An information monitoring providing apparatus to monitor in accordance with the state of an interest to an object to be monitored. The device is designed to set a degree of detail when the surveillance information of the object to be monitored is acquired on the basis of a present state and a sensor signal, to set a different resolution in accordance with a plurality of states to the same sensor signal, and to update the resolution of an image as the degree of detail.

Description

Monitoring information providing device and monitoring information providing method

technical field

The present invention relates to a monitoring information providing device and monitoring information providing method for security monitoring, equipment monitoring, and the like.

Background technique

In the field of equipment monitoring such as security monitoring and station equipment, multiple monitoring cameras are used to capture the status of the site where the equipment exists, and the monitoring center located far away from the site switches and displays the desired image at any time to perform image monitoring.

The number of surveillance cameras installed in the field is increasing year by year along with the reduction in price of video-use devices such as surveillance cameras. In a large-scale facility where dozens of surveillance cameras are installed, efforts are made to allow a small number of operators to efficiently monitor images from multiple cameras. For example, the size of each image is changed according to the importance of the sensor provided according to the object captured by the camera, so that the monitor can recognize the importance of the image. However, it is necessary for the operator to assume the display layout while considering the position and importance of the subject to be monitored in advance, and perform a cumbersome operation called interactive definition. In response to this, there has been proposed a technique in which an importance level is set for the subject itself contained in an image, and a layout etc. are automatically determined based on the importance level to display the image (for example, refer to Patent Document 1).

In the conventional technology, it is difficult to monitor by changing the monitoring information when the degree of interest in the monitoring target is different. For example, it is difficult to perform maintenance and inspection work of equipment in a normal state during business hours, and to perform safety-oriented monitoring in a monitoring state outside business hours.

Patent Document 1: Japanese Unexamined Patent Publication No. 2001-34250.

Contents of the invention

In order to solve the above-mentioned problems, the monitoring information providing device of the present invention includes: state judging means for judging the current state; selecting said relationship corresponding to said current state; importance judging means judging importance based on a sensor signal from a sensor and said relationship selected by said selecting means; and detail level setting means based on said relationship selected by said selecting means The importance determined by the importance determination means is set at a level of detail when acquiring monitoring information of a monitoring target.

In order to solve the above-mentioned problems, the monitoring information providing method of the present invention includes: a step of determining the current state; and selecting a sensor signal corresponding to the current state from the relationship between the sensor signal and the degree of importance set for each of the plurality of states. The step of the relationship; the step of determining the degree of importance according to the sensor signal from the sensor and the selected relationship; according to the determined current state of the degree of importance and the sensor signal, setting the time for obtaining the monitoring information of the monitoring object a step of detail level; a step of obtaining the monitoring information at the set detail level; and a step of displaying or storing the obtained monitoring information.

Thus, according to the degree of interest in different monitoring objects, for example, by changing the image quality of the monitoring image, it is possible to monitor by changing the monitoring information.

Surveillance information is preferably obtained by changing imaging conditions using an imaging device such as a monitoring camera. In addition, not only the images of the photographing device are used, but also monitoring information acquisition and output means for acquiring various monitoring information can be used.

Features of the present invention will be clarified from the following description and description of the accompanying drawings.

Description of drawings

FIG. 1 is a functional configuration diagram of the first embodiment of the present invention.

FIG. 2 is a flowchart of data processing in the system of FIG. 1 .

Fig. 3 is a control block diagram of an importance determination table selection mechanism.

Fig. 4 is a flowchart showing the operation of the importance determination table selection means.

Fig. 5 is an example of a state determination table.

FIG. 6 is a schematic diagram of the operation of the state determination unit.

FIG. 7 shows the configuration of an importance determination table.

FIG. 8 shows the structure of the importance determination table group.

FIG. 9 shows the relationship between the importance determination table and the importance determination table group.

Fig. 10 is a schematic diagram of the operation of the importance judging means.

Fig. 11 is a diagram showing a control block configuration of a detail level setting mechanism.

Fig. 12 shows the configuration of the detail level judgment table.

Fig. 13 is a schematic diagram of the operation of the detail level setting mechanism.

Fig. 14 is a flowchart of the control of the surveillance camera.

Fig. 15 is an example of a display screen.

Fig. 16 is a functional configuration diagram of a second embodiment of the present invention.

Fig. 17 is a schematic diagram showing the operation of a state determination table and a state determination unit in the second embodiment.

Fig. 18 is a functional configuration diagram of a third embodiment of the present invention.

Fig. 19 is an example of monitoring presence/absence determination means.

Fig. 20 is a schematic diagram showing the operation of a state determination table and a state determination unit in the third embodiment.

Fig. 21 is a system configuration diagram of a fourth embodiment of the present invention.

Fig. 22 is another system configuration diagram of the fourth embodiment of the present invention.

Fig. 23 is an example of a display screen according to the fifth embodiment of the present invention.

In the figure: 1-camera, 2-sensor, 3, 801-importance judgment table group, 4-importance judgment table group input mechanism, 5-timer, 6-importance judgment table selection mechanism, 7-importance judgment Mechanism, 8-Detail Judgment Mechanism, 9-Display Mechanism, 301-State Judgment Table, 302-State Judgment Section, 701-Importance Judgment Table, 802-Importance Judgment Table of State A, 803-Importance of State B Judgment table, 1101-determination table for detailed level, 1102-detailed level selection department, 1301-detailed level, 1501-automatic ticket gate, 1502-human body sensor, 1505-passenger, 1506-suspicious person, 2201-surveillance presence determination mechanism , 2601-monitoring terminal, 2901-data center, 2902-site 1, 2903-site n, 2904-monitoring center, 2905-network, 2906-transceiving institution.

Detailed ways

FIG. 1 is a diagram showing a functional configuration of a station machine remote monitoring system according to a first embodiment of the present invention. This system judges the current state of the normal state or monitoring state based on time, that is, the state of interest in the monitoring object, and even for the same sensor signal input, it is possible to change the image resolution, frame rate or A system for displaying after image quality etc.

The resolution is a standard indicating the amount of information of an image. In the resolution, the information amount of an image is expressed in units of so-called pixels. The so-called pixel refers to a point (dot) that constitutes an image, and image data is represented by a collection of the dots. The number of pixels is represented by the number of vertical and horizontal dots included in the image, such as 800×600 and 1024×768. The larger the number of points, the larger the amount of information constituting the image.

The frame rate is a value indicating how many times a screen can be updated within one second in displaying an image. It is also used as the update speed of the screen when displaying moving images. For example, when 15 updates can be made in 1 second, it is expressed as 15 frames/second.

The so-called image quality is an index relative to the quality of image compression. For example, values ranging from 1, which represents the lowest quality and highest compression, to 100, which represents the highest quality and lowest compression, can be taken.

The station machine remote monitoring system of Fig. 1 is equipped with: various station machines at each station, such as a monitoring camera 1 for station business monitoring that is installed near various station machines, such as ticket vending machines, actuarial computers or automatic ticket gates; detects failures of various station machines or various sensors 2 such as abnormality; an importance judgment table group (table set) 3 used as reference data for judging the importance corresponding to the current state; and an importance judgment table set for inputting the contents of the importance judgment table group 3 Enter Agency 4. In addition, this system also includes: a timer 5 for obtaining time; and an importance judgment table for selecting a table for judging the importance corresponding to the current system state based on the time obtained by the timer 5 and the importance judgment table group 3 selection means 6; and importance determination means 7 for determining the importance based on the importance determination table obtained by the importance determination table selection means 6 and information from various sensors 2. Furthermore, this system is further provided with: a detail setting mechanism 8 for setting the detail of image information such as resolution or frame rate based on the importance obtained by the importance judging mechanism 7; The display mechanism 9 displays the captured image information at the set level of detail.

FIG. 2 shows a flow chart of data processing of the system of FIG. 1 . First, in step 201, various data used are initialized. This initialization is performed at system startup. Here, setting or updating of tables is mainly performed. The configuration of each table for initialization will be described in each step described later. Next, in step 202, an importance determination table corresponding to the current state is selected. Furthermore, in step 203 , the degree of importance corresponding to the current state is determined based on the sensor signal from the sensor and the degree of importance determination table selected in step 202 . In step 204, according to the importance obtained in step 203, the detail level of the image is set. Next, in step 205 , an image of the monitoring camera 1 is acquired based on the detail obtained in step 204 . Furthermore, in step 206 , the image obtained according to the level of detail and the like are displayed on the display means 9 . Acquisition and display of an image with a set detail level may continue for a certain period of time or until it is reset. Then, in step 207, it is determined whether there is an instruction to suspend image display. When it is judged that there is an instruction to stop the display, the display of the image is terminated. On the contrary, when there is no instruction to stop, the process returns to step 202 and the image display is repeated.

The operation of the system in FIG. 1 will be described in detail below based on the flow chart in FIG. 2 .

First, step 202 of selecting an importance determination table based on the time obtained by the timer 5 will be described. The selection process of the importance determination table is performed by the importance determination table selection means 6 in FIG. 1 .

FIG. 3 shows a control block diagram of the importance determination table selection means 6 . The importance determination table selection means 6 includes a state determination table 301 as a reference for determining the current state, and a state determination unit 302 for determining the current state based on the time obtained by the timer 5 and the state determination table 301 . Furthermore, the importance determination table selection mechanism 6 further includes: an importance determination table group 3 having a plurality of importance determination tables that correlate sensor signals with importance levels corresponding to a plurality of states; The state and importance judgment table group 3 selects the importance judgment table selection unit 303 of the importance judgment table corresponding to the current state.

FIG. 4 shows a flowchart showing the operation of selecting the importance level determination table. First, in step 401, the time is acquired from the timer. In the following step 402, the current state is determined according to the time t obtained in step 401 and the state determination table.

An example of the state determination table is shown in FIG. 5 . The state determination table 301 representing the correspondence between time and the state of interest in the monitored object can be represented by a data column in which time and state are paired. In addition, in FIG. 6, the operation|movement schematic diagram of the state determination part 302 is shown. The state determination unit 302 receives the time obtained in step 401 as input, refers to the state determination table 301 , and outputs A or B as the current state. For example, A indicates that in the time zone other than the business hours of the station, the state of interest in the monitoring object (for example, near the ticket gate) is mainly a monitoring state that emphasizes safety. On the other hand, B indicates that in the business hours of the station, the state of interest in the same monitoring target is a normal state in which maintenance of equipment such as automatic ticket gates is emphasized. In the example of FIG. 6 , the state A is output by referring to the state determination table 301 with the time 5:00 as input. In this example, although the state boundary is set in minute units, it may be set in time units or second units depending on the situation.

Furthermore, in step 403 , based on the state and importance determination table group 3 obtained in step 402 , an importance determination table corresponding to the current state is selected. The selection process of the importance determination table is performed in the importance determination table selection unit 303 in FIG. 3 .

FIG. 7 shows the configuration of the importance determination table 701 . The importance determination table 701 representing the correspondence relationship between sensor signals and importance is a data series in which a sensor signal and an importance corresponding to the sensor signal are paired. In addition, the configuration of the importance determination table group 3 is shown in FIG. 8 . The importance determination table group 3 is a collection of importance determination tables 802 , 803 . . . for each of a plurality of states.

FIG. 9 schematically shows the relationship between the importance determination table and the importance determination table group. The importance determination table selection unit 303 selects an importance determination table by referring to the importance determination table group 3 by taking the state obtained in the state determination unit 302 as input. In the example of FIG. 9 , since the input signal is the state A, the importance determination table 802 of the state A is selected from the importance determination table group 3 .

According to the above step 401 to step 403 (FIG. 4), in the importance judgment table selection part 6, the importance judgment table corresponding to the current state can be selected from the time t obtained from the timer 5 and the importance judgment table group 3 .

Furthermore, the contents of the importance judgment table group 3 can be input to the importance judgment table group input means 4 in FIG. 1 . As the implementation method of the importance level judgment table group input means 4, there is a method of directly inputting from a keyboard or a mouse, or a method of transferring a file created in advance.

Next, the importance determination process based on the sensor signal in step 203 of FIG. 2 will be described. In this importance judging means 7 , the importance is judged based on the importance judging table selected in the importance judging table selecting means 6 and the sensor signal obtained from the sensor 2 .

FIG. 10 shows a schematic diagram of the operation of the importance judging means 7 . The importance judging means 7 receives the importance judging table 802 selected by the importance judging table selecting means 6 as input, and obtains the importance based on the signal from the sensor 2 .

For example, in the case of FIG. 10 , the importance determination means 7 receives the importance determination table 802 as input, and outputs the importance level "95" for the sensor signal of ticket jam.

As described above, based on the signal obtained from the sensor and the importance determination table obtained in step 202, the degree of importance corresponding to the sensor signal can be determined.

Next, the processing in the image information level of detail setting means 8 in step 204 of FIG. 2 will be described. FIG. 11 shows a control block diagram of the image information detail level setting means 8 . The detailed level setting mechanism 8 of the image information has: a detailed level judgment table 1101 for setting resolution or frame rate according to the importance; The detailed level selection unit 1102 of the detailed level. The level of detail setting means 8 receives the importance obtained by the level of importance judging means 7 as input, refers to the level of detail determination table 1101, and outputs the level of detail.

FIG. 12 shows an example of the detail level determination table 1101 . The level of detail determination table 1101 is a data sequence represented by a combination of the level of importance and the level of detail. Note that the level of detail is data composed of a combination of resolution, frame rate, image quality, and the like. In addition, the degree of detail may be independent data among resolution, frame rate, and image quality, or may be any combination.

FIG. 13 shows a schematic diagram of the operation of the detail level setting mechanism 8 . In the detail level setting means 8, the importance level "95" obtained in the importance level judging means 7 is used as an input, and the detail level selection part 1102 refers to the detail level determination table 1101 to obtain the detail level 1301 (resolution 320 ×240, frame rate 30 frames per second, high image quality).

As described above, in the detail level setting means 8 of the image information, the detail level of the image information corresponding to the importance obtained in step 203 can be set.

Next, the image information acquisition process in step 205 in FIG. 2 will be described. In this process, setting values such as resolution, frame rate, and image quality, which are control parameters of the surveillance camera 1 , are set to the level of detail of the image information obtained in the previous step 204 . FIG. 14 shows a flowchart of the control based on the level of detail of the surveillance camera 1 .

First, in step 1401, the level of detail of the image information obtained in step 204 is acquired. Next, in step 1402, the set values of the control parameters that are the current level of detail of the surveillance camera 1 are read. Furthermore, in step 1403 , the new resolution obtained in step 1401 is compared with the value of the current resolution obtained in step 1402 . If the values do not match, the resolution of the monitoring camera 1 is changed to a new resolution (step 1404), and the value of the new resolution is registered (step 1405). If the values match, proceed to the next step 1406 .

Similarly, in step 1406, the value of the frame rate is compared, and in step 1409, the image quality is compared. In either case, when the values do not match, the values of the frame rate or image quality of the surveillance camera 1 are updated (steps 1407 and 1408, steps 1410 and 1411). When the values match, proceed to the next step (step 1409 or end).

According to the above step 1401 to step 1411, the image of the monitoring camera 1 based on the detail of the image information can be acquired.

Next, the display of image information in step 206 of FIG. 2 will be described. This processing is performed in the display unit 9 of FIG. 1 .

FIG. 15 shows an example of a display screen of the display means 9 . In the example of FIG. 15, the surroundings of the automatic ticket gate 1501 are photographed by a monitoring camera installed in the station, and the presence or absence of a person is detected by a human body sensor 1502 installed on the ceiling. In addition, during business hours (06:00-21:59) is a normal state (state B), and outside business hours (0:00-05:59 and 22:00-23:59) is a monitoring state (state A).

At this time, many passengers 1505 pass around the automatic ticket gate 1501 in a normal state. Therefore, the human presence sensor 1502 responds, additionally, that the detected human is a passenger. Here, in the importance determination table of the normal state (state B), the importance is set to 50 for the presence or absence of the response of the human body sensing sensor. Therefore, regardless of the presence or absence of the response of the human body sensing sensor, the detail level in the detail level determination table of FIG. That is, the image of the monitoring camera does not change the detail of image information such as frame rate and image quality.

On the other hand, in the monitoring state (state A), it is assumed that there are no people around the automatic ticket gate 1501 . In this state, when the human body sensing sensor 1502 reacts, the detected person is regarded as a suspicious person 1506 . Here, in the importance determination table of the state A, the importance is set to "100" and "50" for the presence or absence of the response of the human body sensor. Therefore, when the human body sensor does not respond, the frame rate "15 (f/s)" and the image quality "medium" are selected in the detailed level judgment table in FIG. 12 . In addition, if the human body sensing sensor responds, the frame rate "30 (f/s)" and the image quality "high" corresponding to the importance level 100 are selected. Therefore, monitoring can be strengthened by increasing the display frame rate or providing high-definition image information such as high image quality.

As described above, in the first embodiment, the normal state and the monitoring state of the system are distinguished by time, and the resolution, frame rate, image quality, etc. of the displayed image can be changed according to the system state even for the same sensor input. , which can improve security. In addition, it is possible to carry out maintenance and inspection operations of equipment during business hours, and to perform monitoring according to time when safety is emphasized outside business hours.

Fig. 16 is a diagram showing a functional configuration of a station machine remote monitoring system according to a second embodiment of the present invention. This embodiment differs from the first embodiment in that a normal state, a monitoring state, and the like are determined from sensor signals. That is, the system in FIG. 16 includes an importance determination table selection unit 1601 for selecting a table for determining the importance corresponding to the current state based on various sensors 2 and the group 3 of importance determination tables. Other configurations are the same as those of the system in FIG. 1 . In addition, the flow of data processing is also the same as in FIG. 2 .

Although the configuration and operation of the importance determination table selection mechanism 1601 are substantially the same as those in the first embodiment (FIG. 3 and FIG. 4), instead of the time, a sensor signal is input to the state determination unit, and instead of obtaining the time, a sensor signal is obtained. Signal.

FIG. 17 is a schematic diagram showing the operation of a state determination table and a state determination unit in the system of FIG. 16 . The state determination table 1801 is represented by a data column in which a sensor signal related to disaster prevention (smoke sensor, fire sensor, emergency button, etc.) is paired with a state of interest to a monitoring object (normal state A, emergency state B). Here, the state A is a normal state in which the state of interest in the monitoring object (for example, a place equipped with firearms) places emphasis on equipment maintenance. On the other hand, the state B is concerned with the same monitoring object, and is an emergency state in which emphasis is placed on disaster prevention such as discovery of a fire point, fire extinguishing, and judgment of evacuation. The state determination unit 1802 receives a disaster prevention-related sensor signal as input, refers to the state determination table 1801, and outputs state A or B. In FIG. 17 , the fire sensor signal is used as an input, and a state B (emergency state) is output by referring to a state determination table 1801 .

As described above, in the second embodiment, the normal state and the emergency state are distinguished by the sensor signals of the fire sensor, the smoke sensor, etc., and the resolution and frame rate of the displayed image can be changed even for the same sensor input according to the state. Or image quality, etc., can improve security.

Fig. 18 is a diagram showing a functional configuration of a station machine remote monitoring system in a third embodiment of the present invention. The present embodiment differs from the first embodiment in that a method of whether or not to confirm the monitoring target by a monitor or the like is used as a method of determining the state of interest in the monitoring target. That is, the system of Fig. 18 possesses: determine whether the monitor monitors the monitoring presence/absence judgment mechanism 2201 monitoring the surveillance object; The importance determination table selection mechanism 2202 of the importance table corresponding to the current state. Other configurations are the same as those of the system in FIG. 1 . In addition, the data processing flow is also the same as in FIG. 2 .

Although the configuration and operation of the importance determination table selection means 2202 are basically the same as those of the first embodiment (FIG. 3 and FIG. 4), in the state determination part, instead of the time, a monitoring presence/absence confirmation signal is input, and instead of obtaining the time, Instead, a monitoring presence/absence determination signal as a state parameter is acquired from the monitoring presence/absence determination means 2201 . The monitoring presence/absence determination means 2201 can be realized by a monitor's switch operation or the like. In addition, as another implementation method of the monitoring presence/absence determination means 2201, it is conceivable that the monitor performs the determination by key input. For example, as shown in FIG. 19 , on the terminal 2601 that the monitor is monitoring, codes 2602 (numeric strings or character strings, etc.) are displayed periodically or randomly, and in the code coincidence judging section 2603, by judging the input of the monitor and the Whether the code 2604 is consistent, to determine whether there is monitoring.

FIG. 20 is a schematic diagram showing the operation of a state determination table and a state determination unit in the system of FIG. 19 . The state determination table 2401 is represented by a column of data in which the presence or absence of monitoring is paired with the state. Here, the state A is a monitoring state, and is a state in which the monitor pays attention to the monitoring object and has a high degree of interest in the monitoring object. On the other hand, the state B is a non-monitoring state, and is a state in which the attention of the monitor is not received, and the degree of interest in the monitoring object is low. The state determination unit 2402 receives the monitor presence/absence determination signal as input, refers to the state determination table 2401, and outputs state A or B. In the example of FIG. 20 , the state A (monitoring state) is output by referring to the state judgment table 2401 by taking the monitoring presence/absence determination signal "monitored" as input.

From the above, in the third embodiment, by judging whether the monitor confirms the monitoring object, the monitoring state and the non-monitoring state are distinguished. Furthermore, according to this state, even with the same sensor input, the resolution, frame rate, image quality, etc. of the displayed image can be changed, and safety can be improved.

Fig. 21 shows a system configuration diagram of a station machine remote monitoring system as a fourth embodiment. The station service machine remote monitoring system of Fig. 21 is by: input data center 2901 of setting importance judgment table; A plurality of monitoring objects (place 1 (2902), ... place n (2903)); Monitoring transmits from a plurality of monitoring objects An image monitoring center 2904; and a network 2905 such as public lines connecting these are constituted. The data center, each site, and the monitoring center are located at geographically different locations. For example, each site is located in or near the building of the user receiving the monitoring service, and the data center and monitoring center are located in the building of the monitoring service provider.

Also, on the side of the data center 2901, there are: an importance judgment table group 3 serving as reference data for judging the importance corresponding to the current state; an importance judgment table group for inputting the contents of the importance judgment table group 3 The input means 4; and the sending and receiving means 2906 for transmitting and receiving the information of the importance level judging table group 3 through the network 2905. In addition, on one side of each monitoring target site 2902, 2903, there are also: a monitoring camera 1 for station business monitoring installed near various station equipment; various sensors 2 for detecting failures or abnormalities of various station equipment; Timer 5 for obtaining time; according to the time obtained by timer 5 and the importance judgment table group set in the data center 2901, select the importance judgment of the importance judgment table for judging the importance corresponding to the current state Table selection mechanism 6; According to the importance determination table obtained in the importance determination table selection mechanism 6 and the information from various sensors 2, the importance determination mechanism 7 of the importance is judged; The degree of importance is the level of detail setting mechanism 8 for setting the level of detail of image information such as resolution or frame rate; The sending and receiving mechanism 2906 of the image information. On the side of the monitoring center 2904, there is a transmission and reception system for sending and receiving image information from the monitoring camera 1 that is shot at the level of detail set in the level of detail setting mechanism 8 of each location 2902, 2903 through the network 2905. mechanism 2906; and a display mechanism 9 for displaying these image information.

In the fourth embodiment, by connecting a plurality of monitoring objects with a network such as a public line, and managing the setting or changing of the importance judgment table used for each monitoring object in the data center, it is possible to reduce the setting or changing of each monitoring object. Complicated operations for changing the importance judgment table.

Furthermore, in this embodiment, the signal from the timer 5 is used as an input to the importance determination table selection means 6 for each point, but instead of the timer 5, the signals in the second and third embodiments may be used. The various sensors 2 and the monitoring presence/absence determination mechanism 2201 have been described.

The operation of this embodiment is the same as the operation flow in FIG. 2 . However, each process is different in the data center 2901, each site 2902 or 2903, and the monitoring center 2904. Specifically, the initialization processing of step 201 is performed in the data center 2901, and the processing from step 202 to step 205 is performed in each location 2902, 2903, and finally, steps 206 and 207 are performed in the monitoring center 2904 .

As described above, in the fourth embodiment, in the configuration in which there are a plurality of monitoring objects, by using the data center 2901 to manage the importance determination table used for each monitoring object, it is possible to reduce the number of settings or changes in each monitoring object. Complicated operations of the importance judgment table.

In addition, as shown in FIG. 22 , each site 3001 and 3002 may include an importance determination table group 3 and an importance determination table group input means 4 . In this case, the basic setting of the importance determination table is performed in the data center 2901, and the content related to the location is set for each location. Thereby, the input setting of the importance determination table can be prevented from being complicated, and detailed setting can be performed for each location.

As a fifth embodiment, when there are a plurality of monitoring objects, a method of displaying monitoring information whose detail level is set according to the importance of status objects will be described.

FIG. 23 shows an example of a display screen of the station machine remote monitoring system according to this embodiment. The configuration of the station equipment remote monitoring system of the present embodiment can be realized by the same configuration as that of the fourth embodiment, and the operation flow is also the same as that of the fourth embodiment. However, the difference is that the output of the detail level setting means 8 is not only the detail level obtained from the importance level obtained in the importance level determination means 7, but also output as the input importance level.

As described in this embodiment, by displaying not only the image information 3101 but also the importance information 3102, the importance of the image information 3101 can be recognized. In addition, the importance of image information can also be recognized by color-separated display according to the importance. Furthermore, as shown in the unprocessed list table 3103 of FIG. 23 , when a plurality of image information is received, the image information with high importance can be quickly associated by ordering and displaying them according to the importance.

In the above-mentioned embodiment, although the monitoring information is obtained and output by the camera, it is not limited to this, and as the mechanism for obtaining the log information of the abnormality or failure of the monitoring target, it is possible to use , Change the log information and output the monitoring information to get the output mechanism. In addition, as the display means for displaying monitoring information, not only means for displaying images, but also means for displaying numerical data, character data, and graphic data may be used. In addition, instead of displaying the monitoring information, the monitoring information may be stored in a storage device.

In each of the above-described embodiments, the status determination table, the importance determination table group, and the detail determination table are stored in a storage device such as a memory. In addition, in the figure, the data processing shown by the flowchart etc. is processed in the data processing apparatus, such as a microcomputer and an arithmetic processing apparatus. Furthermore, the data of each table can be integrated appropriately.

In each of the above-mentioned embodiments, the monitoring of station equipment such as ticket vending machines, actuarial computers, and automatic ticket gates has been described, but the monitoring object is not limited to the field of station equipment, and it can also be applied to the monitoring of safety monitoring and equipment equipment. field etc.

According to the present invention, monitoring in which monitoring information is changed can be performed according to the state of interest in the monitoring target.

Claims (9)

1. A monitoring information providing device, characterized in that, comprising: The state judging mechanism judges the current state; a selection mechanism for selecting the relationship corresponding to the current state from the relationship between the sensor signal and the degree of importance set for each of the plurality of states; an importance judging means for judging the importance based on the sensor signal from the sensor and the relationship selected by the selection means; and The level of detail setting means sets the level of detail when acquiring monitoring information of a monitoring target based on the importance level determined by the importance level determining means. 2. The monitoring information providing device according to claim 1, further comprising a monitoring information acquisition and output mechanism for obtaining the monitoring information of the monitoring object, and can be set according to the detail level setting mechanism Change the monitoring information to the detailed level and output it. 3. The monitoring information providing device according to claim 1 or 2, wherein the state judging means judges the current state based on time. 4. The monitoring information providing device according to claim 1 or 2, wherein the state judging means judges the current state based on a sensor signal from the sensor. 5. The monitoring information providing device according to claim 1 or 2, wherein the status judging means judges the current status based on whether or not the monitor monitors the monitoring object. 6. The monitoring information providing device according to claim 2, wherein the monitoring information acquisition and output means is an imaging device with an imaging condition changing function, and the level of detail set by the level of detail setting means , change the imaging conditions, and start imaging. 7. The monitoring information providing device according to claim 6, wherein the imaging condition in the imaging device is any one or combination of resolution, frame rate, and image quality. 8. A monitoring information providing method, comprising: Steps to determine the current state; selecting the relationship corresponding to the current state from among the sensor signal-to-importance relationships set for each of the plurality of states; a step of determining the degree of importance based on the selected relationship between the sensor signal from the sensor; A step of setting the level of detail when acquiring the monitoring information of the monitoring object according to the determined importance; the step of retrieving said monitoring information at said level of detail set; and A step of displaying or storing the acquired monitoring information. 9. The monitoring information providing method according to claim 8, characterized in that, on the side of the monitoring object, based on the relationship between the sensor signal corresponding to the current state and the importance, the The level of detail at the time of monitoring the monitoring information of the target is managed by the center located at a geographically different position from the side of the monitoring target.

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