JP2021076957A - Security support system and method thereof - Google Patents

Abstract

To select a security place in consideration of fairness by efficiently using resources usable for security.SOLUTION: A server of a security support system includes: a risk database (DB) for managing risk data for each date, each time zone, and each place; a latest security DB for managing a frequency of security for each date, each time zone, and each place; a data processing section for selecting a place to be secured with referring to the risk DB and the latest security DB based on information related to a date to be input from a terminal, a time zone, mobile means to be used in security, and security performance time; a map drawing section for generating map information where a place selected by the data processing section is developed on a map; and an output section for outputting map information generated by the map drawing section. The terminal displays a screen having the map information to be output from the output section.SELECTED DRAWING: Figure 1

Description

The present invention relates to a security support system and its method, and more particularly to a security support system and method that assists in the formulation of a security place.

Police officers and employees of security companies patrol the area on a daily basis. For example, when a police officer patrols an area, the police station is usually selected based on the experience and intuition of the police officer and the request from the local residents. In recent years, the degree of security has been improved by determining a numerical value indicating the degree to which crime prevention measures are required in the area based on data such as past crime occurrence information and narrowing down the police points based on the numerical value.

Various techniques have been proposed for supporting local crime prevention programs. For example, Patent Document 1 discloses a security support system that selects a patrol route suitable for a patrol area based on a map including the position of a power consumer (household) and the position of a utility pole and the amount of power used by the home. ing.

WO2018 / 225119A1

According to the technology described in Patent Document 1, by selecting a patrol route for each monitoring area and time zone based on map information and data on the amount of electricity used by consumers, it is possible to properly formulate a local crime prevention plan. It is said that it can be done flexibly.

However, the technology of Patent Document 1 states that the patrol route in the patrol area is selected based on the map information and the electric power consumption of the consumer, but the electric power consumption of the consumer always correlates with the number of crimes. Not necessarily. For example, it would be more efficient to focus on patrols in areas where crimes actually occur.

On the other hand, if efficiency is given too much emphasis in the selection of patrol routes, for example, when there are a plurality of places having the same risk, the closer one is always prioritized, and the patrol destination may be biased. Especially in police where public safety is required, extreme bias in police locations not only lacks fairness to citizens, but can also make criminals more aware of police officer behavior patterns.

Therefore, an object of the present invention is to make it possible to efficiently use the resources available for security and to select a security location in consideration of fairness.

The security support system according to one aspect of the present invention is a security support system that selects a security location using a server and a terminal connected to the server.
The server
A risk database (DB) that manages risk data by date, time zone, and location,
The latest security DB that manages the number of times security has been performed for each date, time zone, and location.
Based on the information on the date, time zone, transportation means used for security, and implementation time input from the terminal, the location to be guarded is selected with reference to the risk level DB and the latest security DB. Data processing department and
A map drawing unit that creates map information that expands the location selected by the data processing unit on a map,
It has an output unit that outputs map information created by the map drawing unit, and has an output unit.
The terminal displays a screen having the map information output from the output unit.
It is configured as a security support system, which is characterized by this.
The present invention is also grasped as a security support method by the security support system.

According to the present invention, it is possible to efficiently use the resources available for security and select a security location in consideration of fairness.

It is a figure which shows the configuration example of the security support system which concerns on one Example. It is a flowchart which shows the whole processing of a security support system. It is a figure which shows the example of the risk degree DB. It is a figure which shows the example of the latest police DB. It is a flowchart which shows the example of the selection process of the mesh to be watched. It is a figure which shows the example of the user interface of the terminal which has the display screen of the guarded place. It is a figure which shows the example of the user interface of the terminal which has the display screen of the guarded place.

According to one embodiment of the present invention, it is possible to efficiently and fairly select a patrol place within the range of resources available for security. Here, the resource refers to the time and means of transportation for security. In the case of police, the means of transportation means, for example, police cars, motorcycles, bicycles, walking, and the like. Efficient also means guarding as many high-risk areas as possible. Fairness means making patrols as wide as possible by patrolling different places rather than just patrolling the same place every day. As a result, the resources (time and means of transportation) available for security activities can be maximized to guard dangerous areas in the area. Furthermore, by not biasing the security area, it covers a wide area and gives the local residents a sense of security. In the following embodiment, an example of a system applied to police by a police officer will be described, but the present invention is not limited to this, and for example, it can be applied to patrol by a security company.

Hereinafter, an embodiment will be described with reference to the drawings.

FIG. 1 shows the configuration of the security support system. This system is provided to police support systems that police officers patrol.
The security support system includes a server 100 that processes various data for security, and a terminal 110 that is connected to the server 100 via a network and inputs / outputs necessary data. The server 100 may be a cloud server.

Functionally, the server 100 has an input unit 101 that acquires information input by the user, a data extraction unit 102 that extracts target data based on the acquired information, and a guard location based on the input data and the extracted data. It has a data processing unit 103 that performs data processing for determining, a map drawing unit 104 that visualizes the data processing result on a map, and an output unit 105 that visually outputs the data processing result. The server 100 has, as hardware, a processor that executes a program and performs data processing, and a storage unit such as a memory or a hard disk (HD) that stores the data or the program. Each of the above functional units is realized by the processor executing a predetermined program.

The server 100 further has a risk database (referred to as DB) 106, the latest police DB 107, a map DB 108, and a guard information DB 109 that stores the guard information that is the data processing result. These DBs are stored in the storage unit of the server 100.

The terminal 110 is, for example, a personal computer (PC) or a tablet terminal, and has an input device, a display device, a storage unit, and a processor for executing a program as hardware. The terminal 110 is installed at each police station, police box, police car, etc., or is possessed by a police officer, and is used for necessary information (date and time, jurisdiction in charge, police) before the police officer departs for police and after performing police. Enter the resources that can be used). Regarding the formulation of the police place, the data input before the police departure is transferred to the server 100, the server selects the police place according to the input conditions, and the processing result is returned to the terminal 110. Is displayed on the display of the terminal. Police officers can see the map on which the police area is drawn by looking at the display screen of the display. This allows police officers to carry out police based on the location drawn on the map.

Next, the configuration of the main DB will be described.
With reference to FIG. 3, the risk level DB 106 manages numerical information indicating the need for security for each location in the area. Basically, the area is subdivided into a square mesh (for example, 100 m square), the location is defined for each mesh, and the degree of risk in each mesh is defined as a continuous value.

As shown in FIG. 3, the risk DB 106 holds the date, the time zone, the mesh ID, the latitude / longitude, the jurisdiction ID, and the risk score as one column. The date and time zone are the scheduled dates and times for the police to be carried out, and the time zone is set by dividing the day into a plurality of time intervals (for example, every two hours). FIG. 3 shows an example of the time zone from 8:00 to 12:00. The date and time zone are information input by the user (police officer). The mesh ID is an identification number assigned to each mesh that divides the area. Latitude / longitude is latitude / longitude information at a point representing each mesh (for example, the center of the mesh). The jurisdiction ID is an identification number assigned to each police station or police box, and indicates which police station or police box has jurisdiction over each mesh. The risk score is preferably defined for each mesh based on the number of past crimes in the mesh.

As an example, the risk score is calculated based on the corresponding date (day of the week), time zone, and the number of crimes and police dispatches at the location of the mesh ID. For example, based on the number of crimes and police dispatches (crime information) that occurred in the downtown area from 22:00 to 24:00 on Friday in the last month, 22- at that location this Friday (for example, October 25). The risk score is calculated by predicting the occurrence of crimes at 24:00 and the number of police dispatches. In the same way, using the crime information of the last month, calculate the risk score according to the date, time zone, latitude / longitude of this week, and form each column of the risk DB. Can be done. In addition to the crime information for the past month, it is also possible to calculate the risk score for the same period of the same month by taking into account the crime information and weather of the same period last year (for example, October 31st (Halloween) last year). It is possible.

Note that FIG. 3 shows an example of the risk DB 106 having the risk data of three columns having the risk scores at different locations on the same date and in the same time zone. A large number of column risk data including risk scores calculated for each different date, time zone, latitude / longitude are stored in the risk DB 106. In addition, since the past crime information is updated monthly, for example, the contents of the risk DB are also updated sequentially.

Next, referring to FIG. 4, the latest police DB 107 quantifies and manages the latest police implementation status for each location in the area. Since the latest police DB 107 sequentially stores the executed police information, it can be called a police log DB. Further, when applied to patrol security by a security company, the latest security DB 107 can be said to be the latest security DB.

As shown in FIG. 4, the latest police DB 107 holds the date, the time zone, the mesh ID, the latitude / longitude, the jurisdiction ID, and the latest police count as one column. Each time and mesh is set with the same particle size as the time and area division method in the risk level DB 106, and the latest guard implementation status for each division unit is held as a continuous value. The latest police count indicates the number of police guards performed in the most recent fixed period by the mesh ID of the corresponding date and time. The smaller this number is, the less recent the police are.

Every time the police officer finishes the police of the corresponding place at the corresponding date and time, the police officer inputs from the terminal 110, and the contents of the latest police DB 107, particularly the number of the latest police, is updated.
The number of recent police officers does not necessarily have to be the number of police officers performed, and other indicators such as the total staying time of the latest police officers may be used.

The map DB 108 stores map information for a geographic information system (GIS) used to display data-processed guard locations. The map information does not necessarily have to be possessed in the form of the map DB 108 if it can be acquired online.

The security information DB 109 stores information in which the security information (created security information), which is the processing result of the data processing unit 103, is posted on the map information selected from the map DB 108. Specifically, the original data which is the map information of FIG. 6 or FIG. 7 displayed on the display of the terminal 110 is stored.

Next, the overall processing operation of the security support system will be described with reference to the flowchart of FIG.
First, the input unit 101 acquires each information of the date, the time zone, the means of transportation, the implementation time, and the jurisdiction, which is input from the terminal 110 by the user (police officer) (S200). The date and time zone are the scheduled dates and times for the police to be carried out, and the time zone selects one of the days divided into multiple time intervals (for example, 8:00 to 12:00). The means of transportation is a means of transportation used when carrying out police guards such as police cars. The implementation time represents the length of time (for example, one hour) for guarding. The means of transportation and the implementation time are resources that can be used for police as defined in the present invention, and the faster the means of transportation and the longer the implementation time, the more places and distant places can be guarded (that is, the resources can be used). Many). On the contrary, the slower the means of transportation and the shorter the implementation time, the fewer places can be guarded, and the narrower the coverage range (less resources). The jurisdiction represents a police station or police box, and each jurisdiction has its own area of responsibility.

Next, the data extraction unit 102 extracts the risk level data and the latest warning data corresponding to the input date, time zone, and jurisdiction from the risk level DB 106 and the latest warning DB 107 (S201). When the corresponding data is extracted, the data processing unit 103 performs data processing using the risk level data, the latest warning data, the transportation means, and the implementation time, and selects the target mesh (S202). That is, in these two processing flows, the date and time when the user performs the police, the risk level of each mesh in the jurisdiction range, and the latest police implementation information are extracted, and the guard location is selected together with the resources available for the guard. .. (The selection of the above mesh will be described later with reference to FIG. 5).
Finally, when the mesh to be watched is determined, the map drawing unit 104 superimposes the selected mesh on the map including the mesh and performs visualization processing (S203). Then, the output unit 105 saves the data of the visualization processing result in the security information DB 109 and outputs it to the terminal 110 (S204).

The above processing flow is executed for each date and time zone entered by the user. Throughout the entire process, the process of selecting the appropriate security location according to the resource in the date and time of the surveillance target and the jurisdiction is executed. That is, it is possible to select a police location in consideration of efficiency and fairness by using the risk level for each mesh and the number of recent guards in the date and time and the jurisdiction.

Next, with reference to FIG. 4, the details of the mesh selection process S202 in FIG. 2 will be described.
Basically, a guard route that circulates as many high-risk meshes as possible within the range of resources (transportation means and implementation time) input by the user is efficient. In the present invention, in addition to this idea, it is considered to reduce the bias of the guarded place and improve the fairness by excluding the mesh having the most recent guarded times from the patrol destination.

First, the data processing unit 103 receives the risk level data, the latest police data, the means of transportation, and the implementation time used for the process of selecting the police location as inputs (S400). Next, based on the risk score of the risk DB 106, a mesh with a high risk is selected as a candidate from all the meshes in the jurisdiction range (S401). Candidate selection is, for example, a method of extracting the top N meshes having a high risk. The method is not limited to this method, and for example, N cases may be extracted at random with weighting based on the magnitude of the degree of risk. N is a parameter set based on the input resource information.

Subsequently, from the N meshes selected as candidates, the meshes with a large number of recent police officers are excluded from the candidates based on the latest police officer DB107, and the remaining M meshes are selected as final candidates (S402). .. As a result, even if the risk is high, the places where the latest police are relatively generous are excluded from the target, and the places where the latest police are thin and the risk is high are preferentially selected. become. The number of meshes M to be excluded is set as a parameter (however, M <N). The exclusion method is simply to exclude the specified number from the top of the mesh with the most recent police. In addition, the present invention is not limited to this method, and for example, a specified number may be excluded from the candidates at random weighted based on the magnitude of the number of recent police calls.

When M candidate meshes are finally determined, the patrol route of the guard is determined in consideration of resources (transportation means and implementation time). Start from the jurisdiction, patroll as many candidate meshes as possible in the resource, and when finally returning to the jurisdiction, create a patrolling route that maximizes the total risk of the patrolled candidate meshes. Calculate (S403). As this calculation method, for example, a linear programming method can be used. In this case, the objective function is set as "maximization of the total risk value of the patrol destination mesh", and the resource that can be used for security is set as a constraint condition. The calculation method is not limited to the linear programming method as long as it does not deviate from the decision policy of the patrol route. Finally, when the patrol route is determined, a candidate mesh to be a patrol waypoint is determined as a mesh (S404).

With the above method, candidate meshes can be determined so that high-risk and recent police can efficiently patrol meshes that are thin within resources, and police officers can flexibly and easily plan efficient police. You will be able to formulate. In addition, since the latest police DB107 is updated based on the police results carried out according to the determined candidate mesh, the updated results are reflected in the next selection of the police target. This makes it easier to formulate daily police as a fair plan that takes into account the latest police situation. On the other hand, although an example of selecting a police place as described above is shown, this method is not the only means for improving fairness. For example, in the above process S402, the bias of the guarded place was avoided by excluding the mesh with the most recent guards from the guard candidates, but the mesh with the most recent guards was used as a constraint condition of the linear programming problem in the patrol route calculation of S403. By formulating so as not to patrol, it is possible to avoid the bias of the guarded place. Alternatively, the objective function may be formulated using the number of most recent alerts, and the bias of the alert location may be directly optimized. In any case, it is possible to reduce the bias of the guarded place based on the latest guarded situation.

Finally, with reference to FIGS. 6 to 7, an example of a user interface on the terminal 110 having a display screen of the guarded place will be described. The display screen by this user interface is created by generating the map information on which the guarded place created by the map drawing unit 104 is posted in the format of the display screen by the output unit 105.

As shown in FIG. 6, the display screen has a date selection button 501 for selecting a date for performing police, a time zone selection button 502 for selecting a time zone for performing police, and a jurisdiction for selecting the jurisdiction in charge. It has a selection button 503, a transportation means selection button 504 for selecting a police movement means, an execution time selection button 505 for selecting a police execution time, a candidate display button 506, and a map 500 display including a police location. It is composed of. When the user operates the date selection button 501 to the implementation time selection button 505 to set the date, time zone, jurisdiction, means of transportation, and implementation time, and presses the candidate display button 506, under the specified conditions. A screen on which the candidate mesh 507 is superimposed on the map 500 is formed by the data processing unit 103, the map drawing unit 104, and the output unit 105 of the server 100, and is displayed on the terminal 110.

In addition, the position 508 of the selected jurisdiction is also displayed on the map together with the candidate mesh 507. The patrol route obtained in the process S403 may be displayed together on the screen with the position 508 of the jurisdiction station as the start point and the end point. In addition, the degree of danger in each mesh and the number of recent warnings may be displayed directly on the mesh. In addition, the degree of danger and the number of recent warnings may be displayed in a balloon only when the mouse cursor is placed on the mesh. The map can be enlarged and reduced by the scale setting bar 509, and the mesh can be enlarged and reduced according to the enlargement and reduction of the map.

As another example, as shown in FIG. 7, the most recent location with a large number of guards can be displayed as a heat map 601 together with the candidate mesh 507. In this case, it is possible to switch the display / non-display of the heat map 601 by operating the latest warning display button 600. As shown in Fig. 7, by displaying the latest police locations at the same time, it is possible to grasp where the most recent police were concentrated in the jurisdiction area, and to select the police locations in consideration of fairness. However, it is possible to easily grasp how different the location from the latest police concentration point is selected as the police location.

As described above, according to the preferred embodiment, the police officer belonging to each jurisdiction inputs the police implementation date and time, the jurisdiction in charge, and the police resource (transportation means, implementation time) to the terminal 110 under the conditions. You can check on the screen that displays the result of the decision as the police officer in the place where the risk is high and the latest police implementation status is thin, and based on that information, you can flexibly make an efficient and fair police plan. And it can be easily formulated. This makes it possible to reduce the bias of the guarded place while preventing the crime in a high-risk place by the guard, and it is possible to give a sense of security to many local residents while enhancing the crime prevention effect by utilizing the available resources. it can.

The present invention can be applied not only to police guards but also to patrol guards by security companies. In this case, the latest security DB 107 is generally referred to as the latest security DB.

100: Server 101: Input unit 102: Data extraction unit 103: Data processing unit 104: Map drawing unit 105: Output unit 106: Risk level DB 107: Recent police DB 108: Map DB
109: Police information DB 110: Terminal

Claims (7)

A security support system that selects a security location using a server and a terminal connected to the server.
The server
A risk database (DB) that manages risk data by date and time and by location,
The latest security DB that manages the number of times security has been performed for each date and time and location,
Based on the information on the date, time zone, transportation means used for security, and implementation time input from the terminal, the location to be guarded is selected with reference to the risk level DB and the latest security DB. Data processing department and
A map drawing unit that creates map information that expands the location selected by the data processing unit on a map,
It has an output unit that outputs map information created by the map drawing unit.
A security support system that features this. The risk level DB is a risk level score expressed numerically calculated based on the number of crimes in the past for each mesh obtained by dividing the area to be guarded as the location into a plurality of areas and for each date and time. Manage and
The latest security DB manages the number of times security is performed for each mesh that divides the area to be guarded as the location into a plurality of areas and for each date and time.
The data processing unit selects the mesh as a place to be guarded.
The security support system according to claim 1. The data processing unit
Based on the risk score of the risk DB, the first process of selecting a plurality of high-risk meshes from all the target meshes and
With reference to the latest security DB, a second process of selecting one or a plurality of candidate meshes by excluding the meshes that are frequently guarded from the plurality of meshes selected by the first process is performed. ,
The security support system according to claim 2. The data processing unit patrols so that the total value of the risk of one or more candidate meshes selected by the second process is maximized based on the transportation means and the execution time used for the security. The security support system according to claim 3, wherein the third process of determining the route is performed. The security support system according to claim 3, wherein the number of times of security of the latest security DB is updated every time the security of the selected mesh is completed. The terminal displays a screen having the map information output from the output unit.
The security support system according to claim 1. It is a security support method in a security support system that selects a security location using a server and a terminal connected to the server.
The server
Steps to store and manage risk data in the risk database (DB) for each date and time and location,
A step to store and manage the number of times security was performed in the latest security DB for each date and time and location.
Based on the information on the date, time zone, transportation means used for security, and implementation time input from the terminal, the location to be guarded is selected with reference to the risk level DB and the latest security DB. Data processing steps and
A map drawing step that creates map information that expands the location selected by the data processing unit on the map, and
It has an output step for outputting map information created by the map drawing unit.
A security support method characterized by that.

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