JP6550145B2 - INFORMATION PROCESSING SYSTEM AND INFORMATION PROCESSING METHOD - Google Patents

Description

  The present invention is an information processing system, for example, a system capable of accurately grasping the occurrence of a fire at the time of a disaster such as an earthquake, and providing useful information for evacuation and relief activities from fire spread, and therefore Information processing method etc.

  Various information processing systems have been devised in a plurality of industrial fields, and, for example, systems that support measures against disasters such as fires are also being considered. In this system, occurrence of a fire is detected by a surveillance camera or the like, and movement of a person or a car is detected from GPS information of the mobile terminal to perform evacuation guidance of the person or the car. Recently, with the downsizing and price reduction of sensors and the spread of mobile terminals, we can expect a large amount of data related to the time, space and disaster caused by disasters, so we will try to use this data for disaster countermeasures Is also beginning.

  As an example of an information processing system for disaster countermeasures, to detect disasters such as fires, search for related cases from cases stored in the database, and predict the impact of disasters based on related cases There are some that can present measures for evacuation guidance from disasters, relief activities, and prevention of the spread of damages. As such information search systems, for example, those described in Japanese Patent No. 4459200, Japanese Patent No. 5172227, Japanese Patent No. 3834449, Japanese Patent No. 383823, and Japanese Patent No. 3034167.

Patent 4459200 gazette Patent No. 5172227 Patent No. 3834449 Patent No. 383823 Patent No. 3034167 gazette

  In the information processing system, even if related cases are searched from cases stored in the database based on the acquired information, it is difficult to identify the related cases unless the information is correctly acquired. For example, in a large-scale earthquake disaster, fires may occur in many places in a dispersed manner, so it is not possible to identify all fire occurrence places. Searching for relevant cases based on fires in some areas is not the best case. In addition, even when trying to predict the occurrence or expansion of traffic congestion due to traffic accidents, the mode of progress of traffic congestion changes greatly depending on the traffic volume around the accident occurrence location and the surrounding conditions such as the road condition, but It is not easy to grasp the situation accurately, and as a result, it is almost impossible to find appropriate relevant cases.

  Therefore, when the present invention searches for related cases and tries to use the related cases for future situation analysis, information that can acquire appropriate related cases even if the information for searching for related cases is not sufficient. It is an object to provide a processing system and a method therefor.

  In order to achieve the above object, the present invention is an information processing system that determines an event occurring in a predetermined area range based on a plurality of cases, and stores a controller that executes information processing and the plurality of cases. A storage unit, wherein the controller divides the predetermined area range into a plurality of areas, determines an area in which an event has occurred among the plurality of areas, and the thing in each of the plurality of areas is determined Calculating an influence by an elephant, and based on the determined area and the calculated influence, determining a case that conforms to the state of the predetermined area among the plurality of cases stored in the storage device. It is characterized by Further, according to a second aspect of the present invention, there is provided an information processing method for a computer to acquire a related case from a plurality of cases in order to determine an event occurring in a predetermined area range, wherein the computer is: The predetermined area range is divided into a plurality of areas, an area in which an event occurs is determined among the plurality of areas, and the influence of the event is calculated in each of the plurality of areas, It is characterized in that, based on the calculated area and the calculated influence, among the plurality of cases stored in the storage device, a case that conforms to the state of the predetermined area is determined.

  According to the present invention, when searching for related cases and trying to use the related cases in future situation analysis, it is possible to obtain appropriate related cases even if the information for searching for related cases is not sufficient.

It is a block diagram showing basic composition of a disaster response system as an information processing system concerning a 1st embodiment of the present invention. It is a figure explaining the principle which chooses the case suitable for the actual condition of a disaster from a precedent example. FIG. 10 is yet another diagram for explaining the principle of selecting an example suitable for the actual situation of a disaster from among the precedent examples. It is a block diagram which shows the hardware constitutions of a disaster response system. It is a figure which shows an example of a case data table. It is a figure which shows an example of a position data table. It is a flowchart which shows the disaster countermeasure processing of a central computer controller. It is a figure which shows the structure of the bitmap control information corresponding to the disaster information of a predetermined area range. It is a figure which shows the structure of the bitmap control information of a candidate case. It is a figure which shows the structure of the bit map control information corresponding to a disaster condition where the vector was set to each bit area | region. It is a figure which shows the structure of the bitmap control information corresponding to a candidate case where the vector 710 was set to each bit area | region. It is an example of a display of the application area displayed on the client computer. It is another display example of the application area displayed on the client computer. It is a figure which shows that non-disaster information is set to the bit map control information corresponding to the actual disaster condition. It is a figure which shows that non-disaster information is set to the bit map control information corresponding to a candidate case.

  Next, an embodiment of the information processing system will be described. An information processing system (computer system) determines an event occurring in a predetermined area range based on a plurality of cases. The event is, but is not limited to, a phenomenon occurring in a predetermined area range, for example, a disaster occurring in a predetermined area range. There are multiple types of damage such as fire, earthquake, and flood damage, but the present situation of fire damage, such as fire spreading, etc., will be more properly judged and evaluated, and it will be useful for evacuation guidance etc. Is desired. The information processing system described below is provided as a disaster response system capable of correctly grasping a disaster occurring in a predetermined area range based on a plurality of cases. In addition, there are traffic congestion and the flow of people, for example, as a phenomenon whose scale changes every moment.

  The disaster response system extracts related, similar, related or corresponding cases (related cases) to the current disaster state from the database, and further, based on the additional information, from among the related cases to the current disaster state. Determine a match, a match, or a corresponding case (best case). The best case is one that conforms to the conditions of a given area.

  The disaster response system is based on the best practices and accurately grasps the current disaster state, and then supports evacuation guidance from the disaster, prevention of the spread of damage, various responses such as relief activities, etc., or uses it for guidance. Can.

  As shown in FIG. 1, the disaster response system 1 includes a relational database management system (RDBMS) 12 storing a plurality of cases (preceding cases) 10 created in advance. The controller of the disaster response system 1 searches the RDBMS 12 based on the disaster information 14 acquired by a sensor or the like from the disaster actually occurring in the predetermined area range (16), and the current disaster Extract relevant cases 18 similar to the situation.

  The precedent case 10 includes a data group (a space-time scenario) in which the location data of the disaster and the data of the situation of the disaster (for example, the scale of the fire, etc.) are associated with the elapsed time since the disaster occurred. It is configured. Therefore, the user of the disaster response system 1 predicts how the disaster situation such as the spread of fire spreads, advances, changes, or progresses with the passage of time by referring to the precedent cases. Can.

  The position data is mainly a two-dimensional position according to the map data, and may include a three-dimensional position corresponding to the topography or the height difference position of the building.

  Disaster information including the location of the disaster and the disaster date and time is acquired by the disaster response system 1 by a sensor such as a surveillance camera, a report to the police and fire department, and a surveillance satellite or the like.

  The space-time scenario may be obtained by simulation in addition to the analysis of disaster cases actually present in the past. The simulation is performed by widely assuming the damage position such as fire, radiation, toxic substance leak and the like and the degree of the damage, and applying disturbance factors (weather, wind, weather such as rainfall, etc.) to this. As the disturbance factor, in addition to the weather condition, the property outside the weather condition such as the attribute of the fire occurrence position (commercial area with many fire resistant buildings or residential area with few fire resistant structures) may be considered.

  When the disaster response system 1 acquires the disaster information 14, the precedent case similar to the actual disaster situation is selected from the precedent cases stored in the RDBMS 12 based on the disaster location, the date and time of the disaster, and various situations such as the scale of the disaster. Extract

  The precedent case 10 includes, in addition to the above-described space-time scenario, data on an object (such as a person or a car) affected by the disaster. The behavior of the subject changes or features occur as the subject tries to evacuate from the disaster location. The data of the object includes various numerical values indicating the state of the object, such as the position of the object, the moving direction, and the moving speed. The data of the object is recorded in the database 12 corresponding to the space-time scenario. Object data is also created by past case analysis or simulation.

  By the way, there is a high possibility that the related case 18 extracted based on the acquired disaster information 14 does not match the currently occurring disaster situation. In the first place, assuming a predetermined target range in which the disaster situation should be managed, it is not easy to acquire the disaster information accurately or sufficiently. The reason is that the number of sensors for finding the disaster information is not sufficient, and it is natural that the sensors are destroyed by an earthquake, a fire or the like. Therefore, the case extracted by the missing disaster information does not conform to the actual situation of the disaster that is actually occurring, and even if the development of the disaster is predicted by this case, this is not correct.

  Therefore, the disaster response system 1 executes the compound search 22 based on the additional information 20 such as position information of a person or a car in addition to the disaster information 14 directly obtained by a sensor etc. It has become possible to extract a more appropriate optimum case 24. This will be described based on FIG.

  In FIG. 2, reference numeral 100 indicates an application target of the disaster response processing, and the application target 100 corresponds to the predetermined area range described above. The predetermined area range is a geographical area having a predetermined area. The predetermined area range may be an area in which the development and progress of the disaster are concerned. The predetermined area range may be an area where a relatively large number of people are present, such as a residential area or a commercial area. The application target 100 includes the information of the application area (map data) 102 to which the disaster response processing is applied and the information of the location 104 where the disaster information such as a fire can be actually acquired. As mentioned above, it is clear from experience that there is a high possibility that there will be a disaster site other than the acquired disaster site.

  When the disaster response system 1 searches the preceding case 10 from the RDBMS 12 based on the disaster information 14, candidate cases 1 to 6 can be extracted as related cases including the disaster information in the same place 104. The candidate case 1 does not include other afflicted parts other than the afflicted part 104, but the candidate cases 2 to 6 each include another afflicted part 106 in addition to the afflicted part 104. However, it is difficult for the system 1 to determine which of the candidate cases 1 to 6 is suitable for the actual disaster situation.

  Therefore, the disaster response system 1 is adapted to the actual disaster situation from among a plurality of candidate cases by adding the information 20 acquired indirectly from the disaster in addition to the disaster information 14 acquired directly from the disaster We made it possible to determine the best case. This will be further described with reference to FIG.

  The disaster response system 1 divides the application area 102 into a plurality of areas, for example, a plurality of equal sections. The disaster response system 1 acquires, as additional information 20, information (for example, a position) of an object, for example, a person or a car that can be affected by the disaster, in each section (hereinafter, referred to as "grid") 300. .

  Since a change appears in the state of the object around the afflicted area, for example, the object is moving away from the afflicted area, the state of the object, for example, the moving direction of the object, the moving speed, the number of objects etc. The disaster response system 1 can actually determine the best case for the actual situation of the disaster from among a plurality of candidate cases by actually comparing the situation of the disaster with the case of the candidate.

  The position data of the object can be detected, for example, as GPS information of a terminal carried by a person and / or GPS information of a car navigation system of a car (hereinafter also referred to as "car navigation"). The disaster response system 1 continuously receives the GPS information 20 and obtains movement characteristics as an attribute value of the object and / or operation characteristics such as movement speed, and at least expresses the movement direction as a vector, for example Do. Reference numeral 302 denotes a vector representing the moving direction of an object belonging to each grid. When a plurality of objects belong to one grid, for example, the average of the moving directions of the plurality of objects may be set as the feature value or the representative value of the grid.

  The disaster response system 1 divides the application area 102 of each candidate case into a plurality of grids 300 in the same manner as the application target 100, and calculates the moving direction of an object belonging to each grid. The disaster response system 1 calculates the moving direction of the target data from the preceding case 10 with reference to the position data of the target corresponding to the candidate case.

  The disaster response system 1 compares the grid 300 of the application area 102 of the application target 100 with the grid 300 of each candidate case for each grid existing at the same position, and the aspect of the object for each grid (the movement direction of the object It is determined whether or not the two match, and all grids are taken into consideration to determine the best case in which the moving direction of the object is closest.

  According to FIG. 3, the disaster response system 1 determines the candidate case 2 as the optimum case. In candidate cases 1 and 3-6, in one or more grids, the moving direction 108 of the object is different from the moving direction of the object in the application target 100. Although the disaster response system 1 could not acquire the disaster information at the point 106, it can be understood from the candidate case 2 that the disaster actually occurred at the point 106 or the possibility thereof is high. Therefore, even if the disaster response system 1 lacks the disaster information, the disaster response system 1 can search for a case that matches the actual disaster situation.

  Next, the hardware configuration of the disaster response system 1 will be described according to FIG. The disaster response system 1 includes a central computer 400, a peripheral system 404 connected to the central computer 400 via the network device 406, and a storage device 402 connected to the central computer 400. The central computer 400 executes associated processing (400A to 400C) for disaster response.

  The central computer 400 includes well-known hardware (hard disk drive, main memory, CPU, etc.) necessary to perform related processing. The hard disk drive (non-temporary storage medium) stores application programs and data for performing related processing, and the CPU 401 realizes the related processing described above by executing the application program. A work area is configured in the main memory. Furthermore, a management computer 408 is connected to the central computer 400 via the LAN 410. The management computer 408 applies a predetermined management process such as transmitting an instruction for executing the process for disaster response to the central computer 400.

  The storage device 402 is mounted with the above-described RDBMS 12. The RDBMS 12 stores a parameter file 402A, a case database 402B, and a position database 402C. The case database 402B is composed of a data table in which location information on the occurrence of a disaster and disaster information corresponding to the location information are stored in time series. Therefore, the case database 402B realizes a scenario of transition of a disaster situation, for example, a fire spreading scenario. Details of the case database 402B will be described later.

  The position database 402C records, in the form of a table, position data of an object affected by the transition of the disaster. The position data of the target includes time-series information of the position of the target that has evacuated or is about to evacuate from the affected area. Details of the position database 402C will be described later.

  The parameter file 402A is a file in which a plurality of parameters are stored in the form of a definition file. The parameters are control information necessary for the process of determining an optimal case based on the acquired disaster information. The details of the parameters are also described later.

  The network device 406 is connected to the fire department server 420, the communication carrier server 440, and the telematics service server 446 as the peripheral system 404 via the communication network 412. Thus, the central computer 400 communicates with these servers via the network device 406.

  The fire department operator 422 records the disaster information on the fire department server 420. The fire department acquires disaster information by means of the security company 414, the local government 430 and the 119 call 425. Information 416 such as a fire alarm and a monitoring camera is supplied to a security company, and information 424 on a monitoring camera in a public place such as an intersection is supplied to a local government such as a police.

  Further, position information of the mobile portable terminal 442 such as a smartphone is supplied to the server 440 of the communication carrier via the base station 444. Furthermore, the position information of the car navigation system 448 is supplied to the server 446 for telematics service. The central computer 400 can obtain person's position information 20 from the communication carrier server 440, car's position information 20 from the telematics service server 446, and the disaster information 14 via the fire department server 420, respectively. The central computer 400 continuously stores the disaster information 14 and the information 20 on people and cars in the storage device 402 or the built-in hard disk device continuously.

  The data table of the case database 402B described above is configured, for example, as shown in FIG. In this table, for example, disaster data such as fire location and size determined or calculated by simulation or past case analysis is stored. The disaster data includes a predetermined time range (Time_min, Time_max) and a disaster status (Status) for each predetermined geographical section (X_min, X_max, Y_min, Y_max). Disaster data is stored in one row of the table for each Case_ID.

  Case_ID is a unique identifier assigned to each simulation or past case analysis result, and the information in the table row based on the same ID indicates one simulation or past case analysis result. As a method of simulation of fire spreading, for example, those described in JP-A-2007-164625 and JP-A-8-249313 are known.

  The disaster state is determined based on the characteristics of the disaster such as the scale of the disaster, the type of disaster, and the like for each of the predetermined time range and each predetermined geographical section. Damaged conditions include, for example, 0: before the fire, 1: fires only from the opening, 2: fires the opening and roof or flame, 3: fires the entire compartment into a single flame, 4: classifies into fire suppression Be done.

  The position database 402C described above is configured as a table (FIG. 6) for storing position information of the object. The position data table stores, for example, position data of the object calculated as a result of evacuation simulation of the object or behavior analysis of the object in a real case based on the case database. The position data is stored in one row of the table as coordinates (X, Y) that existed at a certain time (Time) at a certain person or car (Object_ID). Obeject_ID is an identifier of an object. As a method of evacuation simulation, for example, those disclosed in JP-A-5-40887 and JP-A-2006-163837 are known.

  Next, the parameter file 402A will be described. There are a plurality of types as parameters, and the first parameter is a parameter for defining an application area for acquiring damage information and determining a transition such as the expansion of the damage. This parameter is composed of the start point X coordinate, the start point Y coordinate, the end point X coordinate, and the end point Y coordinate of the application area.

  The second parameter is the size of the grid 300 described above. The size of the grid is defined by the vertical and horizontal lengths of the grid. The size of the grid may be appropriately set by the administrator. The manager can determine the grid size in consideration of the road width, the position of the intersection, and the like. For example, if the size of the grid is small, the search accuracy of the state of the object will be improved, but since the search will take time because the number of grids increases, the relationship between the search accuracy and the search time The size may be determined as appropriate.

  The third parameter is a parameter that defines the feature of the grid, and in particular, a parameter that defines the feature of the object. The feature of the object is, for example, the average moving direction (vector) of the object, the number of objects, or the average moving speed of the object, as described above. The third parameter can be freely defined by the administrator.

  The fourth parameter is a parameter that defines a time range for calculating grid features, and the fifth parameter is a parameter that defines how to calculate the similarity between the application target 100 and the candidate case. For example, cosine similarity (index representing similarity in direction of vector) (refer to JP-A-2015-139454, paragraph 0024), and deviation sum of squares (index representing magnitude of variation in numerical value) ( See, for example, Japanese Patent Application Laid-Open No. 10-244892, paragraph 0034 or 0035). The administrator can freely define the fourth parameter and the fifth parameter.

  Next, the operation of the disaster response system will be described. As described above, the controller 401 of the central computer 400 executes the respective processes of parameter management 400A, case search control 400B, and similarity calculation control 400C as disaster response processing. FIG. 7 is a flowchart showing the disaster response processing of the controller 401 of the central computer 400.

  When the management computer 408 receives from the fire department server 420 disaster information, for example, the occurrence of a fire after an earthquake, the controller 401 starts disaster response processing. The controller 401 first executes parameter management 400A. The controller 401 receives the parameter file 402A from the storage device 402 (S1100), and provides the parameter list to the management computer 408. The administrator inputs predetermined values for a plurality of parameters in accordance with the parameter list. The controller acquires input information from the management computer 408, and records parameter setting information in the work area (S1102).

  Next, the controller 401 executes the case search control 400B. The controller 401 receives the disaster information from the server 420 (S1104), and continuously stores the disaster information of the application area 102. Further, the controller 401 receives the position information of the object from the server 440 and the server 446, and continuously stores the position information of the object in the application area.

  The controller 401 reads the setting information of the application area 102 as the set parameters and the setting information of the grid 300 from the work area, and further reads the disaster information to calculate the bitmap control information (FIG. 8) S1106). In FIG. 8, reference numeral 700 denotes a bit area corresponding to the grid 300. FIG. 8 shows that disaster information (for example, fire occurrence) is set in the gray colored bit area. According to the bit map control information shown in FIG. 8, a fire occurrence flag is set to bit (1, 2) and bit (2, 3). The controller 401 stores the created bitmap control information in the work area.

  Then, the controller 401 calculates bitmap control information corresponding to the application area 102 with reference to the case database 402B (S1108). The controller 401 can determine the presence or absence of a disaster for each grid (bit area) by referring to the disaster status: Status (FIG. 5). The disaster response system 1 may determine that the disaster status is 1 to 3 as the occurrence of a disaster. The controller 401 stores the created bitmap control information in the work area.

  The controller 401 refers to the bitmap control information stored in the work area, and generates bitmap control information (FIG. 8) created based on the actual disaster situation and a bitmap created based on the case database 402B. The control information is compared, and bitmap control information in which the disaster is recorded in the same bit area as the former bit map control information among the plurality of bit map control information of the latter is extracted as a candidate case described above. (S1110), this is recorded in the work area. FIG. 9 shows bitmap control information of a plurality of candidate cases.

  Next, the controller 401 executes similarity calculation control to select an optimal case that matches the disaster situation from the candidate cases. The controller 401 reads the third parameter, the fourth parameter, and the fifth parameter from the work area, and performs bitmap control of a plurality of candidate cases with respect to bitmap control information (FIG. 8) corresponding to the disaster situation. In order to calculate the similarity of each information (FIG. 9), the similarity calculation condition is determined (S1112). The higher the degree of similarity, the better the situation of the disaster. The controller 401 adopts, for example, the moving direction (grid feature value) of the object in each grid as a condition for calculating the degree of similarity.

  The controller 401 subsequently calculates the feature value of the grid corresponding to each bit area for each of the bitmap control information (FIG. 8) corresponding to the disaster situation and the bitmap control information (FIG. 9) corresponding to the candidate case. (S1114). The feature value may be calculated by averaging the moving directions of a plurality of objects belonging to the grid. The controller 401 can calculate the moving direction of the object from the position of the object and the time range determined by the fourth parameter.

  The controller 401 sets the moving direction of the object, which is a grid feature, in each bit area of the bitmap control information. FIG. 10 shows bitmap control information corresponding to a disaster situation in which a vector 710 is set in each bit area. FIG. 11 shows bitmap control information corresponding to a candidate case in which a vector 710 is set in each bit area.

  Next, the controller 401 compares the feature value for each corresponding bit area of the bit map control information (FIG. 10) corresponding to the disaster situation and the bit map control information (FIG. 11) corresponding to the candidate case. The similarity is calculated based on the method set by the parameter 5 (S1116).

  The controller 401 applies the calculation of the total similarity by adding the similarity of all bit areas of the bitmap control information to all of the plurality of candidate cases (S1118). Next, the controller 401 sorts the total similarity of the plurality of candidate cases in descending order, and determines the candidate case with the highest total similarity as the best case that most fits the actual situation of the disaster situation. According to FIG. 11, the controller 401 determines candidate case 2 as the optimal case (S1120).

  Next, the controller 401 extracts a data group having an ID identical to the case ID of the optimum case from the case database 402B. The extraction data group corresponds to the development scenario of the disaster situation. The controller 401 constructs a disaster status expansion prediction data file from the extracted data group (S1122), and transmits this to the servers 420, 440, 446.

  When the client computer connected to these servers reproduces the disaster status expansion prediction data file, the client computer can display the disaster status of the application area 102 to the administrator. FIG. 12 is a display example 132 of the application area 102 displayed on the client computer 130, and shows the current disaster situation (the spread of fire). When the administrator operates the search start button 134, the client computer displays the progress of the disaster status (fire spreading simulation) based on the disaster status deployment prediction data file.

  As shown in FIG. 13, by providing a plurality of search buttons 140 and the administrator operating the search button instead of the search button, the client computer displays a spread of fire (the place where a fire was actually confirmed and the occurrence of a fire It is also possible to distinguish and display the part where the estimation was made), display of the fire spread simulation, display of the object (density of the object) or display of the moving direction of the object, or display them overlapping can do.

  The central computer 400 or the servers 420, 440, 446 calculate the direction in which the object should be evacuated based on the disaster situation expansion prediction data file and the evacuation simulation program of the object, and transmit the calculation result to the client computer. Thus, the client computer can display the evacuation direction of the object.

  The central computer 400 can update the optimum case according to the current disaster situation at a predetermined time interval by repeatedly executing the above-described flowchart every predetermined time, thereby performing a disaster response simulation based on the latest optimum case. It can be deployed continuously on client devices.

  The feature value of the grid is not limited to the value of the motion mode of the object such as the moving direction of the object. For example, "not afflicted" is also broadly affected by a disaster, and may be adopted as a grid feature value. FIG. 14 shows bitmap control information in which non-disaster information is set. A non-disaster flag (shown in gray color) is set in the bit area 120 corresponding to the grid for which it has been confirmed that no disaster has actually occurred.

  When the controller 401 extracts candidate cases based on the bit area in which the disaster information 104 is set, those shown in FIG. 15 are extracted as candidate cases. Among the candidate cases, it is assumed that the non-disaster flag (indicated by a gray color) is set in the bit area corresponding to the bit area 120 of the bitmap control information corresponding to the actual disaster situation. , 4 and so these candidate cases are determined as cases that conform to the current disaster state.

  The controller 401 calculates the moving speed of the object in the grid corresponding to each bit area of the candidate case, and when the moving speed is moving below a predetermined value (for example, the walking speed of a person), the object There is no urgency in moving and it can be determined that the grid is not damaged. When there are a plurality of target objects, the controller 401 may determine that the grid is not damaged if the average value of the moving speeds of the target objects is equal to or less than a predetermined value.

  If there is a record of SNS transmission such as e-mail transmission or Twitter to the mobile portable terminal belonging to the grid based on the information from the carrier server 440, the controller 401 has a margin for using the mobile portable terminal. Set a non-disaster flag in the bit area corresponding to this grid as there is no imminent situation such as evacuating quickly.

  The disaster response system may refer non-disaster information to the calculation of the similarity of cases. In candidate cases 3, 5 and 6 shown in FIG. 15, disaster information 104 is set in the bit area 120 in which non-disaster information is set in the bitmap control information corresponding to the actual disaster situation. The controller 401 adjusts the total similarity by deducting the similarity of the candidate cases 3, 5 and 6 in accordance with the presence or absence of the disaster information 104 set in the non-disaster bit area 120 and the number thereof. As a result, the disaster response system 1 can add the non-disaster information to the data of the target body and judge the similarity between the candidate case and the current disaster situation, so that the accuracy in searching for the matching case even if the disaster information is small. Can be improved.

  Although the information processing system has been described as a disaster response system in the embodiment described above, the information processing system can also be realized as a traffic accident response system. The database 10 stores the past traffic accident history (date and time, location, size, etc.). The traffic accident response system stores, in the storage device 402, travel information (date, position, etc.) of the car acquired from the car navigation system. When an accident occurs, the traffic accident case response system searches a database according to the occurrence location and the scale. From the multiple cases obtained, select cases where the surrounding situation (number of cars) at the time of the accident is similar. According to the traffic accident response system, it is possible to acquire a case that conforms to the accident situation as the traffic congestion and the secondary disaster occurrence point change depending on the surrounding situation of the car at the time of the accident.

  Furthermore, the information processing system can also be realized as an evacuation response system. The database 10 stores past evacuation training history (date and time, assumed disaster location, etc.) performed in a shopping mall or the like. The evacuation response system stores in the storage device 402 position information (such as date and time, position, etc.) of a person acquired from a mobile terminal or the like. When the evacuation response system detects any disaster whose location is unknown, it acquires all past evacuation training history dates and searches the location information of the person at the obtained date and time, and in the movement direction of the person, Acquire the assumed disaster location of the evacuation training case that is similar to the surrounding situation (moving direction) at the time of the disaster occurrence. According to the evacuation response system, it is possible to give an idea to a stricken area even when a disaster occurs that can not be determined by a fire alarm as in the case of a fire but also occurs when a disaster that can not be acquired occurs.

  Furthermore, the information processing system can be realized as a sales support system such as sales forecast at the time of opening a new store. The database 10 stores past store history (date and time, place, store type, size of store, sales of store). The sales support system stores, in the storage device 402, position information (date, position, etc.) of a person acquired from a portable terminal. The sales support system searches the database on the basis of the store form and size under the store planning, searches the location information of the person on the date and time of the obtained plural cases, and selects the number of people at the relevant date and time , Get a store opening case that is similar to the surrounding situation (number of people) of the store planning location. According to the sales support system, the sales change according to not only the store type and size but also the surroundings of people, so it is possible to obtain more informative cases.

  Although the information system of the present invention has been described above, each of the above configurations, functions, processing units, processing means, etc. is realized by hardware, for example, by designing part or all of them with integrated circuits. It is also good. Further, each configuration, function, etc. described above may be realized by software by the processor interpreting and executing a program that realizes each function. Information such as programs, tables, and files for realizing each function can be placed in a memory, a hard disk, a storage device such as an SSD (Solid State Drive), or a storage medium such as an IC card, an SD card, or a DVD.

  Further, control lines and information lines indicate what is considered to be necessary for the description, and not all control lines and information lines in the product are necessarily shown. It may be considered that almost all configurations are mutually connected in the implementation.

  The present invention is applied to an information processing system, for example, a system capable of accurately grasping the occurrence of a fire at the time of a disaster such as an earthquake, and providing useful information for fire escape and relief activities. It is suitable.

1 information processing 10 precedent case 12 database storing precedent case (RDBMS)
14 Disaster Information 16 Object Information 400 Central Computer 401 Controller 402 Storage Device

Claims (8)

An information processing system that determines an event that occurs in a predetermined area range based on a plurality of cases,
A controller that executes information processing;
A storage device for storing the plurality of cases;
The controller
The predetermined area range is divided into a plurality of areas,
Of the plurality of regions, determine the region in which the event is occurring,
Calculating the influence of the event in each of the plurality of regions;
And determining, based on the determined area and the calculated influence, a case that conforms to the state of the predetermined area among the plurality of cases stored in the storage device;
Dividing the predetermined area range into a plurality of areas by the controller includes dividing the predetermined area area into a plurality of equal sections.
The controller determining that the event is occurring includes measurement based or notification based;
The controller may calculate the influence of the event in each of the plurality of regions based on additional information affected by the event for each of the plurality of compartments,
The controller may determine, based on the determined area and the calculated influence, a case that conforms to the state of the predetermined area among the plurality of cases stored in the storage device.
Selecting a plurality of candidate cases from the plurality of cases based on the presence or absence of the occurrence of the event for the plurality of sections;
Determining the matching case from the plurality of candidate cases based on the computed influence on the plurality of compartments;
including,
Information processing system. An information processing system that determines an event that occurs in a predetermined area range based on a plurality of cases,
A controller that executes information processing;
A storage device for storing the plurality of cases;
The controller
The predetermined area range is divided into a plurality of areas,
Of the plurality of regions, determine the region in which the event is occurring,
Calculating the influence of the event in each of the plurality of regions;
And determining, based on the determined area and the calculated influence, a case that conforms to the state of the predetermined area among the plurality of cases stored in the storage device;
Dividing the predetermined area range into a plurality of areas by the controller includes dividing the predetermined area area into a plurality of equal sections.
The controller determining that the event is occurring includes measurement-based or notification-based;
The controller may calculate the influence of the event in each of the plurality of regions based on additional information affected by the event for each of the plurality of compartments,
The event includes a phenomenon affecting an operation mode of an object which can be present in each of the plurality of sections.
The controller calculates an operation characteristic of the object from the operation mode of the object in each of the plurality of sections, and calculates the influence of the event in each of the plurality of sections using the operation characteristic as the additional information. Do,
Information processing system. The case includes a scenario of development of an event occurring in the predetermined area range,
The scenario comprises the location of the event and the time of occurrence,
The information processing system according to claim 1 or 2. The controller acquires operation data of the object in each of the plurality of sections, and calculates an operation characteristic of the object from the acquired operation data.
In the case, data of the object is stored for each of the plurality of sections.
The controller compares, in each of the plurality of sections, the calculated operation characteristic of the object with the operation characteristic of the object obtained from each of the plurality of candidate cases, based on the comparison result. To determine the matching case from among the plurality of candidate cases,
The information processing system according to claim 2 . The controller determines, as the matching case, a case having an operating characteristic of the object closest to the calculated operating characteristic of the object in each of the plurality of sections among the plurality of candidate cases. Do,
The information processing system according to claim 4. The controller digitizes the result of the comparison for each of the plurality of candidate cases, and determines the case with the highest numerical value as the matching case.
The information processing system according to claim 4. The controller
Detecting the occurrence of the event in each of the plurality of sections;
Selecting a case in which the event occurs in the same section as the candidate case;
The information processing system according to claim 1. The controller creates the development of the event as video information based on the matching case, and delivers the video information to the information terminal.
The information processing system according to claim 1.

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