JP2015080052A - Program, method and device for monitoring - Google Patents

Abstract

PROBLEM TO BE SOLVED: To reduce man-hour or cost to system operation.SOLUTION: A monitor device 100 detects a sensor 20 which outputs a predetermined value, on the basis of each sensor value output from a plurality of sensors 20 through a network 50. The monitor device 100 identifies a camera 30 associated with the detected sensor 20 on the basis of association information in which each sensor 20 is associated with each camera 30, to output an image imaged by the identified camera 30 on a screen.

Description

  The present invention relates to a monitoring program and the like.

  At the production site of a product, if a production trouble such as equipment abnormality or raw material supply abnormality occurs, production activities cannot be performed as planned. For this reason, a worker who has found a production trouble reports a situation to a manager such as a supervisor or a person in charge as soon as possible. For example, a worker uses a telephone or an interphone as a transmission means.

  When a telephone or an interphone is used as a transmission means, the worker moves to a place where the transmission means is located, and may be away from the place where the production trouble occurs. In such a case, it is difficult for the worker not only to take time to report the situation, but also to notify the manager of the situation at the site that changes from moment to moment.

  In order to solve the above problem, for example, a monitoring system for monitoring a site using a sensor and a network camera is disclosed. When an abnormality of sensor data is detected on site, the monitoring system selects a corresponding image from images captured by each network camera, and transmits the selected image data and sensor data to the monitoring device. The monitoring device generates and displays display image data in which the image and the sensor data are superimposed based on the received data.

JP 2002-300569 A

  However, in the above-described conventional technology, there is a problem that man-hours or costs for system operation are required.

  For example, in the prior art, it is assumed that sensor data is abnormal on the site side and an image of the corresponding site is selected, and a camera or sensor already installed on the site is not used. For this reason, when a monitoring system corresponding to the conventional technology is introduced, new equipment is installed, which requires man-hours and costs for system operation.

  An object of one aspect is to provide a monitoring program, a monitoring method, and a monitoring apparatus that can reduce the man-hours or costs until system operation.

  In the first plan, the computer executes the following processing. The computer detects a sensor that outputs a predetermined value based on each sensor value output from a plurality of sensors via a network. The computer identifies the camera associated with the detected sensor based on the association information associating the sensor with the camera, and outputs an image captured by the identified camera to the screen.

  According to one embodiment of the present invention, it is possible to reduce the number of man-hours or costs until system operation.

FIG. 1 is a diagram illustrating a configuration of a system according to the present embodiment. FIG. 2 is a functional block diagram illustrating the configuration of the monitoring apparatus according to the present embodiment. FIG. 3 is a diagram illustrating an example of a data structure of correspondence information according to the present embodiment. FIG. 4 is a diagram illustrating an example of the data structure of the camera information table according to the present embodiment. FIG. 5 is a diagram illustrating an example of the data structure of the image arrangement table according to the present embodiment. FIG. 6 is a diagram (1) for explaining an example of the process of the determination unit according to the present embodiment. FIG. 7 is a diagram (2) for explaining an example of the process of the determination unit according to the present embodiment. FIG. 8 is a diagram (1) illustrating an example of the display screen of the display unit according to the present embodiment. FIG. 9 is a diagram (2) illustrating an example of the display screen of the display unit according to the present embodiment. FIG. 10 is a flowchart illustrating the processing procedure of the monitoring apparatus according to the present embodiment. FIG. 11 is a diagram illustrating an example of a computer that executes a monitoring program according to the present embodiment.

  Hereinafter, embodiments of a monitoring program, a monitoring method, and a monitoring device disclosed in the present application will be described in detail with reference to the drawings. Note that the present invention is not limited to the embodiments.

  The configuration of the system according to the present embodiment will be described. FIG. 1 is a diagram illustrating a configuration of a system according to the present embodiment. As shown in FIG. 1, the system includes sensors 20a, 20b, and 20c, cameras 30a, 30b, and 30c, and a monitoring device 100. The sensors 20a, 20b, and 20c, the cameras 30a, 30b, and 30c, and the monitoring device 100 are connected to each other via the network 50.

  In FIG. 1, the sensors 20a, 20b, and 20c and the cameras 30a, 30b, and 30c are shown as an example, but the system of FIG. 1 may include other sensors and cameras. In the following description, the sensors 20a to 20c are collectively referred to as the sensor 20 as appropriate. The cameras 30a to 30c are collectively referred to as the camera 30 as appropriate.

  The sensor 20 is installed in an electronic device at a predetermined place in the factory, and detects the electric power of the installed electronic device. The sensor 20 transmits the detected power information to the monitoring device 100. For example, the sensor 20a is installed in the electronic device of the first factory A. The sensor 20b is installed in the electronic device of the first factory B. The sensor 20c is installed in the first factory C. For example, when notifying the monitoring apparatus 100 of power information, the sensor 20 notifies the identification information of the sensor that detected the power information together. The sensor 20 may be installed on a distribution board that supplies power to the electronic device.

  The camera 30 is installed at a predetermined location in the factory, and takes an image in the shooting range. The camera 30 transmits information on the captured image to the monitoring device 100. For example, the imaging range of the camera 30a includes the first factory A where the sensor 20a is installed. The imaging range of the camera 30b includes the first factory B where the sensor 20b is installed. The imaging range of the camera 30c includes the first factory C where the sensor 20c is installed. For example, when notifying the monitoring apparatus 100 of image information, the camera 30 also notifies the identification information of the camera that has captured the image.

  In the present embodiment, as an example, a case where the camera 30 captures an image and transmits information on the image to the monitoring apparatus 100 will be described. However, what the camera 30 captures is not limited to an image, and may be a live video. The video information may be transmitted to the monitoring apparatus 100.

  The monitoring device 100 receives power information from each sensor 20 and detects the sensor 20 that outputs a predetermined value. The monitoring apparatus 100 outputs an image captured by the camera 30 corresponding to the detected sensor 20 together with a graph corresponding to the power value on the screen.

  Next, an example of the configuration of the monitoring apparatus 100 illustrated in FIG. 1 will be described. FIG. 2 is a functional block diagram illustrating the configuration of the monitoring apparatus according to the present embodiment. As illustrated in FIG. 2, the monitoring device 100 includes a communication unit 110, an input unit 120, a display unit 130, a storage unit 140, and a control unit 150.

  The communication unit 110 receives information from the sensor 20 and the camera 30 via the network 50. The communication unit 110 receives power information from the sensor 20. Information for identifying the sensor 20 is associated with the power information. The communication unit 110 outputs the received power information to the control unit 150.

  The communication unit 110 receives image information from the camera 30. Information identifying the camera 30 that captured the image is associated with the image information. The communication unit 110 outputs the received image information to the control unit 150.

  The input unit 120 is an input device that inputs various types of information. For example, it corresponds to a keyboard, a mouse, a touch panel, and the like. The display unit 130 is a display device that displays information output from the control unit 150. For example, the display unit 130 corresponds to a monitor, a liquid crystal display, or the like.

  The storage unit 140 includes correspondence information 141, a camera information table 142, and a screen arrangement table 143. The storage unit 140 corresponds to a storage device such as a semiconductor memory element such as a random access memory (RAM), a read only memory (ROM), and a flash memory.

  The correspondence information 141 is information indicating a correspondence relationship between the sensor 20 and the camera 30. FIG. 3 is a diagram illustrating an example of a data structure of correspondence information according to the present embodiment. As shown in FIG. 3, the correspondence information 141 associates a sensor identification number, a camera identification number, and a location. The sensor identification number is information for uniquely identifying the sensor 20. The camera identification number is information that uniquely identifies the camera 30. The location is information indicating the installation location of the sensor 20 and the camera 30. For example, the sensor 20a is installed in the electronic device of the first factory A, and the camera 30a is installed in the first factory A to indicate that an image of the first factory A is taken.

  The camera information table 142 holds information regarding the person in charge of the location where the camera shoots and the priority order. FIG. 4 is a diagram illustrating an example of the data structure of the camera information table according to the present embodiment. As shown in FIG. 4, the camera information table 142 associates camera identification numbers, locations, persons in charge, extension numbers, and priorities. The camera identification number is information that uniquely identifies the camera 30. The location is information indicating the installation location of the camera 30. The person in charge indicates the person in charge at the corresponding place. The extension number indicates the extension number of the person in charge. The priority order indicates the priority order of each camera 30. The lower the priority number, the higher the priority.

  The image arrangement table 143 holds information indicating in which screen area of the display unit 130 the power information detected by the sensor 20 is arranged and displayed. As will be described later, the power information is displayed in a graph. FIG. 5 is a diagram illustrating an example of the data structure of the image arrangement table according to the present embodiment. As shown in FIG. 5, the image arrangement table 143 associates sensor identification numbers with screen areas. The sensor identification number is information for uniquely identifying the sensor 20. The screen area is information indicating the area of the display screen of the display unit 130. For example, it is defined that the information on the power detected by the sensor 20a is displayed in the area 10a of the screen of the display unit 130.

  Returning to the description of FIG. The control unit 150 includes a detection unit 151 and an output unit 152. The control unit 150 corresponds to an integrated device such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA). The control unit 150 corresponds to an electronic circuit such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit).

  The detection unit 151 is a processing unit that acquires power information from each sensor 20 and detects a sensor having an abnormal power value. The detection unit 151 outputs the detection result to the output unit 152.

  The processing of the detection unit 151 will be specifically described. The detection unit 151 compares the power value with a threshold value, and determines that the power value is an abnormal value when the power value exceeds the threshold value. FIG. 6 is a diagram (1) for explaining an example of the process of the determination unit according to the present embodiment. The horizontal axis in FIG. 6 represents time, and the vertical axis represents power value. For example, as illustrated in FIG. 6, the detection unit 151 determines that the power value is an abnormal value when the power value exceeds a threshold value of 100 kWh.

  If it is determined that the power value is an abnormal value, the sensor identification number of the sensor 20 that detected the abnormal value is output to the output unit 152. When the detection unit 151 determines that the power values of the plurality of sensors 20 are abnormal values, the detection unit 151 outputs the sensor identification number of each sensor 20 that has detected the abnormal value to the output unit 152.

  In addition, the detection unit 151 determines whether or not the integrated value of power becomes an abnormal value after a predetermined time based on the integrated value of power at different times received from the same sensor 20 at a constant period. FIG. 7 is a diagram (2) for explaining an example of the process of the determination unit according to the present embodiment. The horizontal axis in FIG. 7 indicates time, and the vertical axis indicates the integrated value of power. This integrated value is reset every 30 minutes, for example.

  The detection unit 151 acquires the power value from the sensor 20 every 3 minutes and integrates the power values. For example, the detection unit 151 predicts an integrated value after 30 minutes have elapsed since the start of integration when 12 minutes have elapsed since the start of integration. The detection unit 151 determines that the integrated value of power after a predetermined time becomes an abnormal value when the predicted integrated value after 30 minutes exceeds 300 kW. For example, the detection unit 151 obtains the approximate line 40 of the integrated value for 3 minutes to 12 minutes, and determines whether the integrated value after 30 minutes exceeds the threshold value.

  When the detection unit 151 determines that the integrated value of power is an abnormal value, the detection unit 151 outputs the sensor identification number of the sensor 20 that detected the abnormal value to the output unit 152. When the detection unit 151 determines that the integrated power value of the plurality of sensors 20 is an abnormal value, the detection unit 151 outputs the sensor identification number of each sensor 20 that has detected the abnormal value to the output unit 152.

  The output unit 152 generates a graph based on the power value acquired from each sensor 20, performs a process for displaying the graph on the display unit 130, and a process according to the detection result of the detection unit 151.

  First, a process in which the output unit 152 generates a graph based on the value of power acquired from each sensor 20 and displays the graph on the display unit 130 will be described. The output unit 152 generates a graph based on the power value acquired from each sensor 20 and displays the graph in the area of the display unit 130 specified in the image arrangement table 143. The graph generated by the output unit 152 may be any graph. For example, the output unit 152 generates a graph in which the time and the power value are associated with each other or a graph in which the time and the integrated power value are associated with each other. The graph associating the time with the power value corresponds to the graph shown in FIG. The graph in which the time and the integrated value of power are associated corresponds to the graph illustrated in FIG.

  FIG. 8 is a diagram (1) illustrating an example of the display screen of the display unit according to the present embodiment. For example, the output unit 152 displays a graph created from the power value of each sensor based on the screen arrangement table 143. Regions 10a to 10h shown in FIG. 5 correspond to regions 10a to 10h in FIG. For example, the display unit 130 displays a graph generated based on the power value acquired from the sensor 20a in the area 10a of the display unit 130 in FIG. The output unit 152 updates the graph every predetermined time, and displays the updated graph.

  Next, processing according to the detection result of the detection unit 151 executed by the output unit 152 will be described. When the detection unit 151 determines that the power value or the integrated value of power is an abnormal value, the output unit 152 corresponds to the sensor identification number of the sensor in which the power value or the integrated value of power becomes an abnormal value. The camera identification number to be determined is determined based on the correspondence information 141. In the following description, a sensor identification number of a sensor whose power value or integrated power value is an abnormal value is referred to as an abnormal sensor identification number. The camera identification number corresponding to the abnormal sensor identification number is referred to as an abnormal camera identification number.

  The output unit 152 compares the abnormal camera identification number with the camera information table 142 to identify the person in charge and the extension number. The output unit 152 displays an image received from the camera 20 corresponding to the abnormal camera identification number in a predetermined area of the display unit 130. Further, the output unit 152 displays the person in charge and the extension number corresponding to the abnormal camera identification number in a predetermined area of the display unit 130. The output unit 152 highlights the graph generated based on the power received from the sensor with the abnormal sensor identification number.

  FIG. 9 is a diagram (2) illustrating an example of the display screen of the display unit according to the present embodiment. For example, the output unit 152 displays a camera image or a live video corresponding to the abnormal camera identification number in the area 10i. The output unit 152 displays the person in charge and the extension number corresponding to the abnormal camera identification number in the area 10j.

  For example, a case where the abnormal sensor identification number is “20a” and the abnormal camera identification number is “30a” will be described. The person in charge corresponding to the abnormal camera identification number “30a” is “Yoshida”, and the extension number is “2879”. In this case, the output unit 152 displays an image or live video captured by the camera 30a in the area 10i. The output unit 152 displays the person in charge “Yoshida” and the extension number “2879” in the area 10j. In addition, the output unit 152 highlights the region 10a where the graph generated by the power value of the sensor 20a corresponding to the abnormal sensor identification number “20a” is displayed.

  By the way, when the output unit 152 acquires a plurality of abnormal sensor identification numbers from the detection unit 151, the output unit 152 identifies the abnormal camera identification number corresponding to each abnormal sensor identification number, and prioritizes corresponding to each abnormal camera identification number. Based on the ranking, an image or a live video to be displayed in the area 10i is specified. For example, the output unit 152 identifies an abnormal camera identification number corresponding to the lowest priority among the priorities, and displays the camera image or live video corresponding to the identified abnormal camera identification number in the area 10i. The corresponding person in charge and extension number are displayed in the area 10j.

  For example, when the output unit 152 acquires the abnormal sensor identification numbers 20a, 20b, and 20c, the corresponding abnormal camera identification numbers are 30a, 30b, and 30c. Further, the priority order of the abnormal camera identification number 30a is "4", the priority order of the abnormal camera identification number 30b is "6", and the priority order of the abnormal camera identification number 30c is "3". In this case, the output unit 152 displays an image or a live video captured by the camera 30c with the camera identification number 30c with the priority “3” in the area 10i.

  Note that the output unit 152 may display the images of the cameras corresponding to the abnormal camera identification numbers in the area 10i in order according to the priority order. For example, in the above example, the images or live video of the camera 30 may be switched in the order of the cameras 30c, 30a, and 30b and displayed in the area 10i. In addition, the output unit 152 switches the person in charge and the extension number corresponding to the abnormal camera identification number at the timing when the image of the camera 30 or the live video can be switched, and displays it in the area 10j.

  Next, a processing procedure of the monitoring apparatus 100 according to the present embodiment will be described. FIG. 10 is a flowchart illustrating the processing procedure of the monitoring apparatus according to the present embodiment. As illustrated in FIG. 10, the monitoring apparatus 100 starts receiving power information from each sensor 20 (step S101). The monitoring apparatus 100 starts receiving image information from each camera 30 (step S102). In step S <b> 102, the monitoring apparatus 100 may receive live video information from each camera 30.

  The monitoring apparatus 100 generates a graph based on the power information (step S103), and displays the graph on the screen of the display unit 130 (step S104). The monitoring apparatus 100 determines whether or not the sensor 20 having an abnormal power value is detected (step S105).

  If the monitoring device 100 has not detected a sensor with an abnormal power value (No in step S105), the monitoring apparatus 100 updates the graph based on the power information (step S106), and proceeds to step S104. . On the other hand, if the monitoring apparatus 100 detects a sensor whose power value is an abnormal value (step S105, Yes), the monitoring apparatus 100 proceeds to step S107.

  The monitoring apparatus 100 determines the camera 30 corresponding to the sensor 20 that has detected the abnormal value, and displays the determined image of the camera 30 on the screen of the display unit 130 (step S107). The monitoring apparatus 100 highlights the graph corresponding to the abnormal value (step S108). The monitoring apparatus 100 determines the person in charge and the extension number, and displays the determined information on the person in charge and the extension number on the screen of the display unit 130 (step S109).

  Next, effects of the monitoring device 100 according to the present embodiment will be described. The monitoring device 100 detects the sensor 30 that outputs a predetermined value based on each sensor value output from the plurality of sensors 20 via the network 50. The monitoring apparatus 100 identifies the camera 30 associated with the detected sensor 20 based on the association information 141 that associates the sensor 20 with the camera 30, and displays an image captured by the identified camera 30 on the screen. Output. As described above, the monitoring apparatus 100 detects a sensor that outputs an abnormal value, identifies an image of the camera corresponding to the detected sensor, and displays the image on the screen. For this reason, since cameras and sensors already installed at production sites can be used, man-hours and costs until system operation can be reduced. Even when the camera or sensor is changed to the latest device, the monitoring device 100 only needs to be repaired corresponding to the latest device, so that maintenance is facilitated and the usable period can be extended.

  Moreover, since the monitoring apparatus 100 displays the graph corresponding to the power value of each sensor in the area of the screen defined in the screen arrangement table 143 regardless of whether it is an abnormal value, the plurality of sensors. Work can be done while referring to the values. In addition, the manager can make an appropriate decision from a global perspective in view of the entire production activity, and can directly instruct the person in charge at the site to take appropriate measures. In addition, adverse effects on production activities due to unforeseen circumstances can be minimized.

  In addition, the monitoring device 100 detects a sensor whose power value exceeds a predetermined value or a sensor whose predicted value of the integrated value of the power value after a predetermined time exceeds a predetermined integrated value. For this reason, it is possible to notify the administrator in real time of the video of the electronic device that operates with the power value exceeding the threshold value. Even if there is no abnormality at the present time, an image of an electronic device in which the integrated value of the power value after a predetermined time exceeds the allowable amount can be notified in advance before the allowable amount exceeds.

  Moreover, since the monitoring apparatus 100 selects and displays the image of the camera based on the priority order of the camera, when trouble occurs at a plurality of sites, the monitoring device 100 preferentially notifies the video of the most important site. be able to.

  Further, since the monitoring apparatus 100 further displays a contact address associated with the camera on the screen, an administrator using the monitoring apparatus 100 can quickly contact the person in charge.

  By the way, although the sensor 20 which concerns on a present Example demonstrated the case where the power value of the electric power of an electronic device was notified to the monitoring apparatus 100, it is not limited to this. For example, the sensor 20 may determine whether or not there is a leakage, and may specify the notification of the determination result to the monitoring device 100. The monitoring apparatus 100 that has received the information indicating that the leakage has been detected displays an image of the camera associated with the sensor 20 that has detected the leakage on the screen.

  Next, an example of a computer that executes a monitoring program that realizes the same function as that of the monitoring apparatus described in the above embodiment will be described. FIG. 11 is a diagram illustrating an example of a computer that executes a monitoring program.

  As illustrated in FIG. 11, the computer 200 includes a CPU 201 that executes various arithmetic processes, an input device 202 that receives data input from a user, and a display 203. The computer 200 includes a reading device 204 that reads a program and the like from a storage medium, and an interface device 205 that exchanges data with other computers via a network. The computer 200 also includes a RAM 206 that temporarily stores various information and a hard disk device 207. The devices 201 to 207 are connected to the bus 208.

  The hard disk device 207 has a detection program 207a and an output program 207b. The CPU 201 reads out each program 207a, 207b and develops it in the RAM 206.

  The detection program 207a functions as a detection process 206a. The output program 207b functions as the output process 206b.

  For example, the detection process 206a corresponds to the detection unit 151. The output process 206 b corresponds to the output unit 152.

  Note that the programs 207a and 207b are not necessarily stored in the hard disk device 207 from the beginning. For example, each program is stored in a “portable physical medium” such as a flexible disk (FD), a CD-ROM, a DVD disk, a magneto-optical disk, and an IC card inserted into the computer 200. Then, the computer 200 may read and execute the programs 207a and 207b from these.

  The following supplementary notes are further disclosed with respect to the embodiments including the above examples.

(Supplementary note 1)
Based on each sensor value output from a plurality of sensors via a network, a sensor that outputs a predetermined value is detected,
Based on correspondence information that associates a sensor with a camera, a camera associated with the detected sensor is identified, and an image captured by the identified camera is output to the screen. Monitoring program.

(Supplementary note 2) The monitoring program according to supplementary note 1, wherein the outputting process outputs an image photographed by the camera and a graph corresponding to a sensor value outputted from the sensor to a screen.

(Additional remark 3) The process which detects the said sensor detects the sensor whose sensor value exceeds a predetermined value, or the sensor whose estimated value of the integrated value of the sensor value after predetermined time exceeds a predetermined integrated value The monitoring program according to 1 or 2.

(Supplementary Note 4) Priorities are set for each camera, and when the plurality of sensors that output the predetermined value are selected, the output process is performed among the cameras corresponding to the sensors that output the predetermined value. The monitoring program according to appendix 1, 2, or 3, wherein an image photographed by a camera having a high priority is output to a screen.

(Supplementary Note 5) The monitoring program according to any one of Supplementary Notes 1 to 4, wherein the output processing further displays a contact address associated with the camera on a screen.

(Appendix 6) A monitoring method executed by a computer,
Based on each sensor value output from a plurality of sensors via a network, a sensor that outputs a predetermined value is detected,
Based on correspondence information that associates a sensor with a camera, a camera associated with the detected sensor is identified, and an image captured by the identified camera is output to the screen. Monitoring method.

(Additional remark 7) The said output process outputs the image image | photographed with the said camera, and the graph corresponding to the sensor value output from the said sensor on a screen, The monitoring method of Additional remark 6 characterized by the above-mentioned.

(Additional remark 8) The process which detects the said sensor detects the sensor whose sensor value exceeds a predetermined value, or the sensor whose estimated value of the integrated value of the sensor value after predetermined time exceeds a predetermined integrated value The monitoring method according to 6 or 7.

(Supplementary Note 9) Priorities are set for each camera, and the output process is performed when a plurality of sensors that output the predetermined value are selected, among the cameras corresponding to the sensors that output the predetermined value. 9. The monitoring method according to appendix 6, 7 or 8, wherein an image taken by a camera having a high priority is output to a screen.

(Supplementary note 10) The monitoring method according to any one of supplementary notes 6 to 9, wherein in the processing to be output, a contact address associated with the camera is further displayed on a screen.

(Supplementary Note 11) A detection unit that detects a sensor that outputs a predetermined value based on each sensor value output from a plurality of sensors via a network;
An output unit that identifies a camera associated with the sensor detected by the detection unit based on correspondence information that associates the sensor with the camera, and outputs an image captured by the identified camera to a screen. A monitoring device comprising:

(Additional remark 12) The said output part outputs the image image | photographed with the said camera and the graph corresponding to the sensor value output from the said sensor to a screen, The monitoring apparatus of Additional remark 11 characterized by the above-mentioned.

(Supplementary note 13) The supplementary note 11 or 12, wherein the detection unit detects a sensor whose sensor value exceeds a predetermined value or a sensor whose predicted value of the integrated value of the sensor value after a predetermined time exceeds a predetermined integrated value. The monitoring device described in 1.

(Supplementary note 14) Each camera is assigned a priority, and when the plurality of sensors that output the predetermined value are selected, the output unit has priority among the cameras corresponding to the sensors that output the predetermined value. 14. The monitoring device according to appendix 11, 12 or 13, wherein an image taken by a high-quality camera is output to a screen.

(Supplementary Note 15) The monitoring apparatus according to any one of Supplementary Notes 11 to 14, wherein the output unit further displays a contact address associated with the camera on a screen.

20a, 20b, 20c sensor 30a, 30b, 30c camera 100 monitoring device

Claims (7)

On the computer,
Based on each sensor value output from a plurality of sensors via a network, a sensor that outputs a predetermined value is detected,
Based on correspondence information that associates a sensor with a camera, a camera associated with the detected sensor is identified, and an image captured by the identified camera is output to the screen. Monitoring program.   The monitoring program according to claim 1, wherein the output processing outputs an image photographed by the camera and a graph corresponding to the sensor value output from the sensor to a screen.   The process for detecting the sensor detects a sensor whose sensor value exceeds a predetermined value or a sensor whose predicted value of the integrated value of the sensor value after a predetermined time exceeds a predetermined integrated value. The monitoring program described in.   A priority is set for each camera, and the output process is performed with a higher priority among the cameras corresponding to the sensors that output the predetermined value when a plurality of sensors that output the predetermined value are selected. The monitoring program according to claim 1, 2, or 3, wherein an image photographed by the camera is output to a screen.   The monitoring program according to any one of claims 1 to 4, wherein the output process further displays a contact address associated with the camera on a screen. A monitoring method performed by a computer,
Based on each sensor value output from a plurality of sensors via a network, a sensor that outputs a predetermined value is detected,
Based on correspondence information that associates a sensor with a camera, a camera associated with the detected sensor is identified, and an image captured by the identified camera is output to the screen. Monitoring method. A detection unit that detects a sensor that outputs a predetermined value based on each sensor value output from a plurality of sensors via a network;
An output unit that identifies a camera associated with the sensor detected by the detection unit based on correspondence information that associates the sensor with the camera, and outputs an image captured by the identified camera to a screen. A monitoring device comprising:

Images