JP2019180030A - Monitoring support device - Google Patents

Abstract

To support arrangement of sensors for monitoring at places corresponding to the risks of the occurrence of a disaster.SOLUTION: Acquisition means acquires situation information indicating the situations of a plurality of places. Calculation means analyzes the acquired situation information and thereby calculates a first value indicating the magnitude of a disaster risk which is a risk of the occurrence of a natural disaster with respect to the plurality of places and a second value indicating the magnitude of a crime risk which is a risk of the occurrence of an artificial disaster related to the natural disaster. Selection means selects, on the basis of the calculated first value and the second value, places which are candidates for arranging monitoring sensors from among the plurality of places. Output means outputs information indicating the selected places.SELECTED DRAWING: Figure 6

Description

  The present invention relates to a technique for supporting the placement of sensors for monitoring.

  A technique for monitoring a predetermined place using a sensor such as a camera is known. Patent Document 1 describes a technique for obtaining and outputting a monitoring amount indicating a monitoring degree at a predetermined position in a monitoring space by an imaging device installed in the monitoring space.

JP-A-2015-88819

By the way, in the event of a disaster, a temporary surveillance camera may be provided in the affected area for disaster prevention or crime prevention. However, in general, the number of temporary monitoring cameras is limited. In order to achieve the purpose of disaster prevention and crime prevention, for example, it is preferable to install a temporary monitoring camera in a place where there is a high possibility that a disaster or crime will occur. With the technology described in Patent Document 1, even if it is possible to grasp a space where the monitoring amount by the camera is low in the surveillance space, it is not possible to grasp a place according to such a disaster risk.
An object of this invention is to support arrangement | positioning of the sensor for monitoring to the place according to the risk that a disaster will occur.

  The present invention provides an acquisition means for acquiring status information indicating the status of a plurality of locations, and the magnitude of disaster risk, which is a risk that a natural disaster occurs in the plurality of locations by analyzing the acquired status information. Calculating means for calculating a first value indicating a crime risk that is a risk of occurrence of an artificial disaster related to the natural disaster, and the calculated first value And a selection unit that selects a candidate location for placing a monitoring sensor from the plurality of locations based on the second value, and an output unit that outputs information indicating the selected location. A monitoring support device is provided.

  The monitoring support apparatus further includes a storage unit that stores a reference value set for each evaluation item predetermined for the disaster risk and the crime risk, and the calculation unit stores the storage unit for the plurality of locations. The evaluation value is calculated for each evaluation item using the reference value stored in the evaluation item, and the evaluation value of the evaluation item corresponding to the crime risk and the sum of the evaluation values of the evaluation item corresponding to the disaster risk May be set as the first value and the second value, respectively, and the reference value may be set in consideration of the correlation between the disaster risk and the crime risk for each evaluation item.

  The selection means is configured such that, out of the plurality of locations, the first value and the second value are both greater than or equal to a first threshold value, or one of the first value and the second value. A location that is greater than or equal to a second threshold greater than the first threshold may be selected.

  The acquisition means acquires new situation information indicating the changed situation in response to the change of the situation, and the calculation means analyzes the acquired new situation information to thereby obtain the first situation information. Recalculating the value and the second value, and the selecting means arranges the monitoring sensor from the plurality of locations based on the recalculated first value and second value. A new location that is a candidate to be selected may be selected.

  The output means may further output information indicating a place selected last time and not included in the new place among the plurality of places in a format different from the information indicating the new place.

  The selection means selects two or more places from the plurality of places, and the distance between the first place and the second place included in the two or more places is a predetermined distance or less. May select either the first location or the second location.

  ADVANTAGE OF THE INVENTION According to this invention, arrangement | positioning of the sensor for monitoring to the place according to the risk that a disaster occurs can be supported.

It is a figure showing an example of composition of monitoring system 100 concerning an embodiment. 2 is a diagram illustrating an example of a hardware configuration of a monitoring device 130. FIG. 3 is a diagram illustrating an example of a functional configuration of a monitoring device 130. FIG. 5 is a flowchart illustrating an example of processing of a monitoring device 130. It is a figure which shows an example of the evaluation list | wrist 310. FIG. It is a figure explaining an example of the method of selecting the place used as the candidate which arrange | positions a temporary camera. It is a figure explaining another example of the method of selecting the place used as the candidate which arrange | positions a temporary camera. 5 is a diagram illustrating an example of a screen 320. FIG. It is a figure which shows an example of the screen 330 after an update. It is a figure which shows an example of the reference value of a crime risk and a disaster risk.

1. Configuration FIG. 1 is a diagram illustrating an example of a configuration of a monitoring system 100 according to the present embodiment. The monitoring system 100 is used, for example, for monitoring for disaster prevention and crime prevention purposes in a stricken area. The monitoring system 100 includes a plurality of monitoring cameras 110 and a monitoring device 130 mounted on the vehicle 120. In addition, the number of each apparatus shown in FIG. 1 is an illustration, and is not limited to this. The monitoring camera 110 and the monitoring device 130 are connected via a communication line 140. The communication line 140 includes, for example, the Internet and transmits data.

  The surveillance camera 110 includes a permanent camera and a temporary camera. A permanent camera is a surveillance camera that is always installed. On the other hand, the temporary camera is a monitoring camera that is temporarily installed. For example, a temporary camera is installed in a disaster area for a predetermined period after a natural disaster occurs in order to prevent a secondary disaster. However, in general, the number of temporary cameras is limited.

  The vehicle 120 is a mobile monitoring base. For example, when a natural disaster occurs, the vehicle 120 moves to the disaster area. The monitoring device 130 collects and displays images taken by the monitoring camera 110. The monitor checks the image displayed by the monitoring device 130 in the vehicle 120 and performs monitoring. The monitor also provides images to information providers such as the police and disaster response headquarters as necessary. The provision of the image may be performed via the communication line 140. In addition, the monitoring base may be constructed by installing other equipment such as the monitoring device 130 in an existing building.

  FIG. 2 is a diagram illustrating an example of a hardware configuration of the monitoring device 130. The monitoring device 130 is a computer such as a personal computer. The monitoring device 130 has a function for supporting the placement of the temporary camera in addition to the function for realizing the monitoring using the image captured by the monitoring camera 110. The monitoring device 130 includes, for example, a processor 131, a memory 132, a storage 133, a communication unit 134, an input unit 135, and a display unit 136. These devices are connected via a bus 137.

  The processor 131 is a CPU (Central Processing Unit), for example, and executes various processes by reading the program into the memory 132 and executing it. The memory 132 is, for example, a ROM (Read Only Memory) or a RAM (Random Access Memory), and stores a program executed by the processor 131. The storage 133 is, for example, a hard disk drive or a flash memory, and stores various data and programs. The communication unit 134 is a communication interface for connecting to the communication line 140 and performs data communication via the communication line 140. The input unit 135 is a mouse and a keyboard, for example, and is used for inputting various information. The display unit 136 is a liquid crystal display, for example, and displays various types of information.

  FIG. 3 is a diagram illustrating an example of a functional configuration of the monitoring device 130. The monitoring device 130 includes an acquisition unit 231, a calculation unit 232, a selection unit 233, and an output control unit 234. These functions are realized when the processor 131 performs an operation or controls communication by the communication unit 134 in cooperation with the program stored in the memory 132 and the processor 131 that executes the program.

  The acquisition unit 231 acquires status information indicating the status of a plurality of places. This situation may be the current situation relating to a disaster, for example. The situation information may be input by an operation using the input unit 135, for example. The status information may be transmitted from another device connected via the communication line 140, for example.

  The calculation means 232 analyzes the situation information acquired by the acquisition means 231 to calculate a disaster risk value indicating the magnitude of the disaster risk and a crime risk value indicating the magnitude of the crime risk for a plurality of locations. “Analysis” refers to recognizing the content of information and detecting meaningful information. This analysis may include natural language processing, for example. “Disaster risk” refers to the risk of natural disasters occurring. This natural disaster is a damage caused by a natural phenomenon that occurs after a natural disaster occurs, such as a road break that occurs after an earthquake. “Criminal risk” refers to the risk of human disasters associated with natural disasters. This man-made disaster is a damage caused by a man-made cause in connection with a natural disaster after a natural disaster has occurred, for example, theft occurring in an evacuation area after an earthquake.

  Disaster risk and criminal risk may be related to each other. For example, an evacuation instruction is given to a certain area after a major earthquake because there is a high possibility of being damaged in that area. In this case, the disaster risk in the area is large. On the other hand, if the number of people in the evacuation area decreases, the possibility of being witnessed by people decreases and the risk of crime increases. These disaster risk and criminal risk both increase as the area of the evacuation area, the evacuation period, the actual evacuation rate of residents, and the like increase or become longer. That is, there may be a positive correlation between disaster risk and crime risk. On the other hand, in another example, when the road is cut off, the disaster risk increases, but it becomes difficult for people to enter, so the crime risk decreases. In this case, the disaster risk increases according to the road cutting range and the time required for restoration, but the crime risk decreases. That is, there may be a negative correlation between disaster risk and crime risk. Other information, such as the presence of financial institutions in a certain area, increases the risk of crime, but does not affect disaster risk. In this case, crime risk and disaster risk are uncorrelated with this information.

  Based on the disaster risk value and crime risk value calculated by the calculation means 232, the selection means 233 selects a location that is a candidate for placing a temporary camera from a plurality of locations. The temporary camera is installed, for example, for monitoring for disaster prevention and crime prevention after a natural disaster occurs. From the viewpoint of disaster prevention, the temporary camera is preferably installed in a place where a secondary disaster is likely to occur, such as a place where a road is cut off. On the other hand, from the viewpoint of crime prevention, the temporary camera is preferably installed in a place where there is a high possibility of damage caused by crime such as theft such as an evacuation area. Therefore, for example, a location that is effective from the viewpoint of both disaster prevention and crime prevention is selected as a location that is a candidate for placing a temporary camera. That is, it is desirable to install in a place where both the disaster risk value and the crime risk value are large. On the other hand, there are cases where there is a negative correlation between disaster risk and criminal risk, such that the greater the disaster risk, the smaller the criminal risk, as mentioned above. It is desirable that a place with any extremely high risk value is selected as a candidate for installing a temporary camera. Therefore, for example, a location where the disaster risk value and the crime risk value are both equal to or higher than the first threshold is first selected from a plurality of locations, and one of the disaster risk value and the crime risk value is equal to or higher than the second threshold. The location may be selected. This second threshold is greater than the first threshold.

  The output control unit 234 outputs information indicating the location selected by the selection unit 233. This output includes, for example, a display. This location may be shown using a map, for example.

2. Operation FIG. 4 is a flowchart illustrating an example of processing of the monitoring device 130. The acquisition unit 231 acquires status information indicating the current status regarding disasters in the districts A to L (step 11). For example, when the evacuation information is output to the district F, the monitor may perform an operation of inputting status information indicating that the evacuation information is currently output to the district F using the input unit 135. In this case, the acquisition unit 231 acquires the input status information. Moreover, the person who exists in the district K may transmit the status information which shows that the road of the district K is cut off to the monitoring apparatus 130 using terminal devices (not shown), such as a smart phone. In this case, the acquisition unit 231 receives this status information from this terminal device. The status information acquired by the acquisition unit 231 is stored in the storage 133.

  The calculation means 232 analyzes the situation information stored in the storage 133 to calculate the disaster risk value and crime risk value of the districts A to L based on the evaluation list 310 created in advance (step 12).

  FIG. 5 is a diagram illustrating an example of the evaluation list 310. The evaluation list 310 includes evaluation items for disaster risk and crime risk. Crime risk evaluation items include items for evaluating the risk of man-made disasters related to natural disasters, such as “there is a financial institution” and “there is an evacuation area”. Evaluation items for disaster risk include items for evaluating damage caused by natural phenomena that occur after a natural disaster, such as “There is a road break” or “River is flooded”. included. For each evaluation item, at least one reference value of crime risk and disaster risk is set in advance for each evaluation item as shown in FIG. 10 and stored in the storage 133. Here, the score for evaluating each risk is normalized so that the total of the score for evaluating the calculated disaster risk and the score for evaluating the crime risk are equal.

  In addition, as described above, when there is a positive correlation between disaster risk and crime risk, a reference value for disaster risk and crime risk may be set for one evaluation item. In this case, the reference value may be set to be a large value as compared with the case where there is no correlation. For example, in FIG. 5 and FIG. 10, the evaluation item “evacuation area exists” has a reference value for both crime risk and disaster risk, but “3” if there is no correlation as the reference value for crime risk. Since it has a positive correlation, it is set to “4”, and a score for evaluating each risk is calculated. On the other hand, for evaluation items that have a negative correlation between disaster risk and crime risk, a positive reference value (positive value) is set on one side and a negative reference value (negative value) is set on the other side. You can do it. For example, in FIG. 5 and FIG. 10, for the evaluation item “There is a road cut”, the score for evaluating disaster risk is calculated as a positive score, but the score for evaluating crime risk is calculated as a negative score. . As described above, the disaster risk and crime risk reference values may be set in consideration of the correlation between the disaster risk and the crime risk.

  For example, when status information indicating that evacuation information is currently available in the district F is acquired, the evacuation area corresponding to the crime risk of the district F is indicated to indicate that the evacuation area exists in the district F. The reference value “4” is added to the score of the evaluation item “and the reference value“ 1 ”is added to the score of the evaluation item“ existing evacuation area exists ”corresponding to the disaster risk of the district F. In addition, when the situation information indicating that the road in the district K is cut is acquired, in order to indicate that there is a broken road in the district K, “there is a road cut corresponding to the disaster risk in the district K. And a reference value “−1” is added to the score of the evaluation item “There is a road break” corresponding to the crime risk of the district K, that is, 1 is subtracted from the score

  In this case, the evaluation item “existing evacuation area exists” has a positive correlation between the disaster risk and criminal risk with respect to the evacuation area range and evacuation period as described above. The score may be calculated by applying a weight to the risk reference value. Similarly, when there are a plurality of road breakage locations in the district, the score may be calculated by multiplying the reference value by a weight according to the number of breakage locations. In this case, the evaluation item “There is a road break” has a negative correlation between the disaster risk and the crime risk. As for, a negative reference value may be weighted so as to increase it.

  Thus, the score of the evaluation item is determined for each of the districts A to L. Subsequently, for each of the districts A to L, the sum of the scores of the disaster risk evaluation items (that is, the sum) and the sum of the scores of the crime risk evaluation items are calculated. The total score of disaster risk evaluation items is used as the disaster risk value. Further, the total score of crime risk evaluation items is used as a crime risk value.

  Based on the disaster risk value and crime risk value calculated in step 12, the selection unit 233 selects a location that is a candidate for placing a temporary camera from the districts A to L (step 13).

  FIG. 6 is a diagram illustrating an example of a method for selecting a candidate location for placing a temporary camera. As a candidate for arranging the temporary camera, a place where both the disaster risk value and the crime risk value are large is appropriate. On the other hand, as described above, the crime risk becomes lower as the disaster risk increases, or vice versa, and any place where the risk value is extremely high should be a candidate for the temporary camera placement. In addition, when there is a negative correlation in which one risk is high and the other risk is low, there is a case where the temporary camera should not be a candidate to be placed even if one risk is high. The vertical axis in FIG. 6 indicates the crime risk value, and the horizontal axis indicates the disaster risk value. In FIG. 6, points indicating the districts A to L are plotted based on the disaster risk values and crime risk values of the districts A to L. A range R1 in FIG. 6 is a range in which both the crime risk value and the disaster risk value are equal to or greater than the first threshold value (5.5), and if both risk values are included in this range, the temporary camera is selected. Candidate for placement. The range R2 is a range in which the crime risk value is greater than or equal to the second threshold (7.5) that is greater than the first threshold, and the range R3 is a range in which the disaster risk value is greater than or equal to the second threshold (7.5). If any risk value is included in the ranges R2 and R3, the temporary camera is a candidate for placement. In this way, efficient monitoring can be performed by selecting a candidate location for placing a temporary camera based on disaster risk and crime risk.

  In addition, as an effect of setting a plurality of ranges as described above, when an evaluation item having a negative correlation is included, if any risk value is greater than or equal to the first threshold value and less than the second threshold value, the reference value is negative If the score is set to be added, the other risk value may be out of the range of R1. Therefore, it is not necessary to select an inappropriate camera arrangement candidate.

  In the example shown in FIG. 5, the crime risk value and the disaster risk value are both 5.5 or more in the districts G and K. Therefore, in FIG. 6, the points indicating the districts G and K are included in the range R1. Moreover, in the example shown in FIG. 5, the crime risk value is 7.5 or more in the districts F, J, and K. Therefore, in FIG. 6, the points indicating the districts F, J, and K are included in the range R2. Furthermore, in the example shown in FIG. 5, the crime risk value of the district E is 7.5 or more. Therefore, in FIG. 6, the point indicating the district E is included in the range R3. In this case, the districts E, F, G, J, and K in which the points are included in the range R1, R2, or R3 are selected as candidates for placing the temporary camera.

FIG. 7 is a diagram illustrating another example of a method for selecting a candidate location for placing a temporary camera. As in FIG. 6, the vertical axis in FIG. 7 indicates the crime risk value, and the horizontal axis indicates the disaster risk value. In FIG. 7, points indicating the districts A to L are plotted based on the disaster risk values and crime risk values of the districts A to L. Further, a range R11 in FIG. 7 is a range in which the crime risk value and the disaster risk value satisfy the relationship represented by the following expression (1).
[Equation 1]
Crime risk value> -EXP (0.2 x disaster risk value) + 9 (1)

  The range R11 approximates a range including the range R1, the range R2, and the range R3 illustrated in FIG. In the example illustrated in FIG. 5, the districts E, F, G, J, and K all satisfy the relationship represented by the above-described expression (1). Therefore, in FIG. 7, points indicating the districts E, F, G, J, and K are included in the range R11. In this case, the districts E, F, G, J, and K in which the points are included in the range R11 are selected as candidate locations for arranging the temporary cameras.

  The selection unit 233 determines whether or not the distance between one place included in the place selected in Step 13 and another place is equal to or less than a predetermined distance (Step 14). For example, if the districts E, F, G, J, and K are selected, and the distance between the district K and the district F is not more than a predetermined distance, the determination in step 14 is YES. In this case, the selection unit 233 changes the district K or the district F to another location selected as a candidate based on the disaster risk value and the crime risk value calculated in step 12 (step 15). That is, one of the district K and the district F is selected, and the other is not selected. This is because it is not preferable to concentrate and monitor only a specific place, and is a process for distributing a temporary camera to some extent so that a wide area can be monitored. If there are no other candidate locations, both the district K and the district F may be used as candidates or may not be selected. Further, when the disaster risk value or the crime risk value takes a prominent value, a plurality of temporary cameras may be arranged even if they are less than a predetermined distance.

  In the example illustrated in FIG. 6, a point indicating the district K is included in the ranges R1 and R2, and a point indicating the district F is included in the range R2. In this case, since the district K is considered to be more important, the district K may be selected as it is, and the district F may be changed to another location. For example, in the example shown in FIG. 5 among the remaining districts excluding districts E, F, G, J, and K that have already been selected from districts A to L, this different location is the disaster risk value and crime risk value. District B may have the highest total value. In this example, “district K” and “district F” are used as “first place” and “second place” according to the present invention, respectively. When the process of step 15 is completed, the process returns to step 14 described above. Then, the determination in step 14 is performed again based on the changed location. This process is repeated until the determination in step 14 is NO.

  If it is determined in step 14 that the distance between one place included in the selected place and the other place is larger than the predetermined distance (NO in step 14), this process is performed in step 16. Proceed to The output control means 234 causes the display unit 136 to display a screen 320 including a map indicating the location selected in Step 13 (Step 16).

  FIG. 8 is a diagram illustrating an example of the screen 320. For example, when districts E, F, G, J, and K are selected, these locations are shown on the map included in the screen 320. However, in order to prevent the drawing from becoming complicated, the districts G and J are not shown in FIG. On the map shown in FIG. 8, marks 321 to 323 are displayed at positions corresponding to the districts E, F, and K, respectively. The marks 321 to 323 are lines that surround the areas E, F, and K, for example. Moreover, on the map, information indicating the evaluation items corresponding to the districts E, F, and K may be displayed together with the marks 321 to 323, respectively. The monitor may determine to place temporary cameras in the areas E, F, G, J, and K, for example, by looking at the screen 320. An image photographed by the temporary camera arranged in this way is transmitted to the monitoring device 130 and provided to the information providing destination as necessary.

  When the statuses of the districts A to L change, new status information indicating the changed status is acquired in step 11 described above. Then, based on the new situation information, the processes in steps 12 to 16 are performed again. In this case, in Step 12 described above, the disaster risk values and crime risk values of the districts A to L are recalculated. In step 13 described above, a candidate location for placing a temporary camera is selected based on the recalculated disaster risk value and crime risk value. In this case, in step 16 described above, the screen 320 is updated based on the selected location.

  FIG. 9 is a diagram illustrating an example of the updated screen 330. Here, it is assumed that the previous districts E, F, G, J, and K are selected, and the current districts A, E, G, J, and K are selected. Of these, districts E, G, J, and K have been selected the previous time and this time. District A is newly selected this time. District F was selected last time, but is not selected this time. In this case, on the map included in the screen 330, at least the districts A, E, G, J, and K selected this time are shown. However, in order to prevent the drawing from becoming complicated, the districts G and J are not shown in FIG.

  On the map shown in FIG. 9, marks 331 to 333 similar to the marks 321 to 323 shown in FIG. 8 are displayed at positions corresponding to the districts A, E, and K, respectively. However, the mark 331 for the district A is displayed in a display format that attracts more attention than the marks 332 and 333 for the districts E and K. For example, the mark 331 of the district A may be formed by a thick line with a color that is more conspicuous than the marks 332 and 333 of the districts E and K. Further, an additional image 335 indicating a newly selected place may be added to the mark 331 of the district A. Further, on the map included in the screen 330, a mark 334 similar to the mark 322 shown in FIG. 8 is displayed at a position corresponding to the district F that was selected last time and was not selected this time. However, the mark 334 of the district F is formed by, for example, an inconspicuous color dotted line. As described above, the mark 334 of the district F is displayed in a display format different from the marks 331 to 333 of the districts A, E, and K. Although not shown in FIG. 9, the marks of the districts G and J are displayed in the same display format as the marks 332 and 333 of the districts E and K. The monitor may determine to remove the temporary camera from, for example, the district F and to newly place the temporary camera in the district A by looking at the screen 330.

  In the above-described embodiment, “monitoring device 130”, “display unit 136”, “storage 133”, “disaster risk value”, “crime risk value”, and “score” are respectively “monitoring” according to the present invention. It is used as “support device”, “output means”, “storage means”, “first value”, “second value”, and “evaluation value”.

  According to the above-described embodiment, by looking at the screens 320 and 330, it is possible to easily grasp a place where the disaster risk and the crime risk are relatively high. Therefore, the temporary camera can be quickly placed in such a place. Can do. As a result, a useful image can be provided by the information provider. That is, it is possible to support the placement of the temporary camera at an appropriate location according to the risk of occurrence of a disaster. Moreover, since the screen 320 is updated according to the change in risk, the arrangement of the temporary cameras can be changed accordingly. Further, on the screen 330, since the marks 332 and 333 indicating the previously selected areas E and K and the mark 331 indicating the newly selected area A are displayed in different display formats, a temporary camera is newly arranged. It is possible to easily recognize the place to be. Further, on the screen 330, the mark 334 indicating the district F selected last time and not selected this time is displayed in a display format different from the marks 331 to 333 indicating the districts A, E, and K selected this time. Therefore, the place where the temporary camera should be removed can be easily recognized. Further, when the distance between one place included in the place selected as a candidate for placing the temporary camera and another place is equal to or less than a predetermined distance, one of these places is another place. Therefore, the temporary cameras can be prevented from being concentrated.

3. The present invention is not limited to the above-described embodiment. Various modifications may be made to the above-described embodiment. Moreover, the following modifications may be implemented in combination.

  In the embodiment described above, the method for selecting a candidate location for placing a temporary camera is not limited to the method shown in FIG. 6 or FIG. Any method may be used to select a candidate location for placing the temporary camera as long as it is based on the disaster risk value and the crime risk value. For example, when the number of temporary cameras is 10, ten locations may be selected in descending order of values obtained using the disaster risk value and the crime risk value.

  In the embodiment described above, the object to be arranged is not limited to the temporary camera. For example, instead of a temporary camera, an unmanned moving body including a camera may be arranged. The unmanned moving body is, for example, a mobile robot, and circulates while taking an image with a camera based on the place where it is placed. Further, instead of the temporary camera or together with the temporary camera, a sensor for monitoring other than the camera such as a sensor for monitoring the increase in river water and a microphone may be arranged. The “monitoring sensor” refers to various sensors used for monitoring, and any sensor may be used as long as it is used for monitoring. Note that the monitoring sensor includes the temporary camera described above.

  In the above-described embodiment, the situation information may be audio data or image data, for example. The voice data may be voice data indicating a telephone voice, for example. The image data may be image data indicating an image taken by a camera, for example. For example, when the situation information is voice data, the analysis performed by the calculation unit 232 may include a voice recognition process. For example, when a text indicating that evacuation information is currently available in the district F is generated by performing voice recognition processing on the voice data, the disaster risk value and the crime risk value may be calculated based on the text. . When the situation information is image data, the analysis performed by the calculation unit 232 may include image recognition processing. For example, when it is recognized that the road in the district K is cut by the image recognition process, the disaster risk value and the crime risk value may be calculated based on the recognition result. Furthermore, AI (artificial intelligence) may be used for the analysis performed by the calculation unit 232.

  In the above-described embodiment, points may be weighted for important evaluation items included in the evaluation list 310. For example, for the evaluation item “there is a financial institution”, the score may be 1.5 times.

  In the embodiment described above, in the example illustrated in FIGS. 8 and 9, the marks 321 to 323 and 331 to 334 displayed on the map are lines surrounding the place, but are not limited thereto. These marks may be any images as long as they are images showing locations on the map. Further, the method of changing the display format is not limited to the method of changing the color and line thickness. For example, the size and shape may be changed, and the display method such as blinking display may be changed. Further, the information indicating the selected place is not limited to the marks 321 to 323 and 331 to 334 displayed on the map. For example, information such as a name and an address identifying the selected place may be output. Further, the output of information indicating the selected place is not limited to display. This output may be, for example, transmission via the communication line 140, printing, or sound output.

  The steps of processing performed in the monitoring device 130 are not limited to the example described in the above-described embodiment. The steps of this process may be interchanged as long as there is no contradiction. The present invention may be provided as a method including steps of processing performed in the monitoring apparatus 130.

  The present invention may be provided as a program executed in the monitoring apparatus 130. This program may be downloaded via a communication line such as the Internet. The program is provided in a state of being recorded on a computer-readable recording medium such as a magnetic recording medium (magnetic tape, magnetic disk, etc.), an optical recording medium (optical disk, etc.), a magneto-optical recording medium, or a semiconductor memory. May be.

  As used herein, the terms “first” and “second” do not limit the amount or order of elements in which they are used. These descriptions are used to distinguish two or more elements. For example, numbers may be interchanged.

DESCRIPTION OF SYMBOLS 100: Surveillance system, 110: Surveillance camera, 120: Vehicle, 130: Monitoring apparatus, 231: Acquisition means, 232: Calculation means, 233: Selection means, 234: Output control means

Claims (6)

An acquisition means for acquiring status information indicating the status of a plurality of places;
By analyzing the acquired situation information, a first value indicating the magnitude of a disaster risk that is a risk of occurrence of a natural disaster at the plurality of places, and a human disaster related to the natural disaster occurs. A calculating means for calculating a second value indicating the magnitude of the crime risk that is a risk;
Selection means for selecting a candidate location for arranging a monitoring sensor from the plurality of locations based on the calculated first value and second value;
A monitoring support apparatus comprising: output means for outputting information indicating the selected location. Storage means for storing a reference value set for each evaluation item predetermined for the disaster risk and the crime risk;
The calculation means calculates an evaluation value for each of the evaluation items using the reference value stored in the storage means for the plurality of locations, and sums the evaluation values of the evaluation items corresponding to the disaster risk. And the sum of the evaluation values of the evaluation items corresponding to the crime risk, respectively, as the first value and the second value,
The monitoring support device according to claim 1, wherein the reference value is set for each evaluation item in consideration of a correlation between the disaster risk and the crime risk. The selection means is configured such that, out of the plurality of locations, the first value and the second value are both greater than or equal to a first threshold value, or one of the first value and the second value. The monitoring support apparatus according to claim 1, wherein a location that is equal to or greater than a second threshold value that is greater than the first threshold value is selected. The acquisition means acquires new situation information indicating the changed situation in response to the change of the situation,
The calculation means recalculates the first value and the second value by analyzing the acquired new situation information,
The selection unit selects a new location that is a candidate for arranging the monitoring sensor from the plurality of locations based on the recalculated first value and second value. The monitoring support apparatus according to any one of 1 to 3. The output means further outputs information indicating a place selected last time and not included in the new place among the plurality of places in a format different from the information indicating the new place. The monitoring support apparatus described. The selection means selects two or more places from the plurality of places, and the distance between the first place and the second place included in the two or more places is a predetermined distance or less. The monitoring support apparatus according to any one of claims 1 to 5, wherein one of the first place and the second place is selected according to whether or not the first place and the second place are selected.

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