WO2017081772A1

WO2017081772A1 - Information processing system and information processing method

Info

Publication number: WO2017081772A1
Application number: PCT/JP2015/081765
Authority: WO
Inventors: 菅谷　奈津子; 小川　祐一; 彰規淺原; 林　秀樹; 冨田　仁志
Original assignee: 株式会社日立製作所
Priority date: 2015-11-11
Filing date: 2015-11-11
Publication date: 2017-05-18
Also published as: JPWO2017081772A1; JP6550145B2

Abstract

[Problem] To provide an information processing system which, when attempting to search for related case histories and use same in future situational analyses, is capable of acquiring appropriate related case histories even if there is insufficient information for use in searching for the related case histories. [Solution] Provided is an information processing system comprising a controller which executes an information process, and a storage device which stores a plurality of case histories. The controller: segments a prescribed area range into a plurality of regions; determines, among the plurality of regions, the region in which an event is occurring; computes the impact which the event will have on each of the plurality of regions; and, on the basis of the determined region and the computed impact, determines which of the case histories, among the plurality of case histories which is stored in the storage device, is pertinent to the status of the prescribed area.

Description

Information processing system and information processing method

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 information useful for evacuation from fire spread and rescue activities, and therefore It relates to the information processing method.

In various industrial fields, various information processing systems have been devised. For example, systems that support the response to disasters such as fires are being studied. This system detects the occurrence of a fire with a monitoring camera or the like, and detects the movement of a person or a car from the GPS information of a mobile terminal, and tries to guide the evacuation of the person or the car. Recently, along with the downsizing and cost reduction of sensors and the widespread use of mobile terminals, a large amount of data related to time, space, and disaster status can be expected due to disasters, so efforts to utilize this data for disaster countermeasures Has also started.

As an example of an information processing system for disaster countermeasures, detecting disasters such as fire, searching related cases from cases stored in the database, and predicting the impact of disasters based on related cases Therefore, there are those that can present measures for evacuation guidance, relief activities, and prevention of damage expansion. Examples of this type of information search system include those described in Japanese Patent No. 4459200, Japanese Patent No. 5172227, Japanese Patent No. 3834449, Japanese Patent No. 383823, and Japanese Patent No. 3034167.

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

In an information processing system, even if a related case is searched from cases stored in a database based on acquired information, it is difficult to identify the related case unless the information is acquired accurately. For example, in a large-scale earthquake disaster, fires can occur in many places and cannot be identified. Searching for related cases based on fires in some places will not be the best case. In addition, even when predicting the occurrence or expansion of traffic jams due to traffic accidents, the progress of traffic jams will vary greatly depending on the traffic volume and road conditions around the accident location. It is not easy to accurately grasp the situation, and as a result, it is almost impossible to find appropriate relevant cases.

Therefore, the present invention searches for related cases, and when trying to use related cases for future situation analysis, it is possible to acquire appropriate related cases even if there is not enough information for searching related cases. It is an object of the present invention to provide a processing system and a method therefor.

In order to achieve the above object, the present invention is an information processing system for determining 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 device, wherein the controller divides the predetermined area range into a plurality of areas, determines an area where an event has occurred among the plurality of areas, and determines the event in each of the plurality of areas. Calculating the influence of the elephant, and determining a case that matches the state of the predetermined area among the plurality of cases stored in the storage device based on the determined area and the calculated influence It is characterized by. Further, the second invention is 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, and the computer includes: The predetermined area range is divided into a plurality of areas, an area where an event occurs among the plurality of areas is determined, an influence of the event is calculated in each of the plurality of areas, and the determination is performed. Based on the calculated area and the calculated influence, a case that matches the state of the predetermined area is determined from the plurality of cases stored in the storage device.

According to the present invention, when searching for a related case and using the related case for future situation analysis, an appropriate related case can be acquired even if there is not enough information for searching for the related case.

It is a block diagram which shows the basic composition of the disaster response system as an information processing system which concerns on the 1st Embodiment of this invention. It is a figure explaining the principle which selects the example suitable for the actual condition of a disaster from a prior example. It is another figure explaining the principle which selects the example suitable for the actual condition of a disaster from a prior example. 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 response process 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 example. It is a figure which shows the structure of the bitmap control information corresponding to a disaster situation where the vector was set to each bit area. It is a figure which shows the structure of the bitmap control information corresponding to a candidate example by which 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 example of a display of the application area displayed on the client computer. It is a figure which shows that non-disaster information is set to the bitmap control information corresponding to an actual disaster situation. It is a figure which shows that non-disaster information is set to the bitmap control information corresponding to a candidate example.

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. An event is not limited, but is a phenomenon that occurs in a predetermined area, for example, a disaster that occurs in a predetermined area. There are multiple modes of damage, such as those due to fire, earthquakes, and storms and floods, but more accurately determine and evaluate the current state of fire damage caused by fires that change in scale, such as the spread of fire. It is desirable. An information processing system to be described below is provided as a disaster response system that can correctly grasp a disaster occurring in a predetermined area range based on a plurality of cases. In addition, as a phenomenon whose scale changes every moment, for example, there are traffic jams and the flow of people.

The disaster response system extracts a case (related case) related to, similar to, related to, or corresponding to the current state of damage from the database, and further, based on the additional information, changes the current case to the current state of damage. Determine fit, match, or equivalent case (best case). The optimum case is a case that matches the condition of a predetermined area.

The disaster response system should accurately grasp the current disaster state based on the best case, and then support or direct various responses such as evacuation guidance, prevention of damage expansion, and relief activities from the disaster. Can do.

As shown in FIG. 1, the disaster response system 1 includes a relational database management system (RDBMS) 12 that stores 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 the sensor etc. from the actual disaster that occurred in a predetermined area (16), and from the previous cases, the current disaster A related case 18 similar to the situation is extracted.

The preceding case 10 includes a data group (a spatio-temporal scenario) in which the location data of the disaster and the data of the disaster situation (for example, the scale of the fire) are associated with the elapsed time since the occurrence of the disaster. It is configured. Therefore, the user of the disaster response system 1 can predict how the disaster situation such as the spread of fire spreads, progresses, changes, or progresses over time by referring to the preceding cases. Can do.

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 disaster location, date and time of disaster is acquired by the disaster response system 1 through sensors such as surveillance cameras, reports to the police and fire department, and surveillance satellites.

The spatio-temporal scenario may be obtained by simulation in addition to the analysis of actual disaster cases in the past. The simulation is performed by widely assuming disaster locations such as fire, radioactivity and toxic substance leakage, and the extent of the disaster, and applying disturbance factors (wind direction, wind force, rainfall, etc.) to this. In addition to the weather conditions, the disturbance factors may take into account properties other than the weather conditions such as the attribute of the fire occurrence position (commercial area with many fireproof buildings or residential area with few fireproof buildings).

When the disaster response system 1 acquires the disaster information 14, based on various situations such as the location of the disaster, the date and time of the disaster, the scale of the disaster, etc., the preceding cases similar to the actual disaster situation among the previous cases stored in the RDBMS 12 To extract.

The preceding case 10 includes data related to an object (a person or a car) affected by the disaster in addition to the above-described space-time scenario. A change or characteristic occurs in the behavior of the object, for example, when the object tries to evacuate from the disaster location. The data of the target object includes various numerical values indicating the state of the target object, such as the position of the target object, the moving direction, and the moving speed. The data of the object is recorded in the database 12 corresponding to the spatiotemporal scenario. Object data is also created by past case analysis or simulation.

Incidentally, there is a high possibility that the related case 18 extracted based on the acquired disaster information 14 does not match the current disaster situation. In the first place, it is not easy to acquire the damage information accurately or sufficiently when a predetermined target range in which the damage situation should be managed is assumed. This is because the number of sensors for discovering the disaster information is not sufficient, and the sensors are naturally destroyed by earthquakes or fires. Therefore, the case extracted by the missing damage information does not match the actual situation of the damage that has actually occurred, and it is not correct to predict the development of the damage by this case.

Therefore, the disaster response system 1 executes a combined search 22 based on additional information 20 such as position information of people and vehicles in addition to the disaster information 14 directly obtained by sensors or the like, and the actual situation of the disaster from similar cases. It is made possible to extract the optimum case 24 that is more suitable. This will be described with reference to 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 range having a predetermined area. The predetermined area range may be an area in which the development and progress of the disaster are interested. The predetermined area range may be a range where a relatively large number of people are located such as residential areas and commercial areas. The application target 100 includes information on the application area (map data) 102 to which the disaster response processing is applied, and information on the location 104 where the disaster information such as a fire can actually be acquired. As described above, it is clear from experience that there is a high possibility that there is a damaged part other than the acquired damaged part.

When the disaster response system 1 searches the RDBMS 12 for the preceding case 10 based on the damage information 14, candidate cases 1 to 6 can be extracted as related cases including the damage information in the same location 104. Candidate example 1 does not include other disaster sites other than the disaster site 104, but candidate cases 2 to 6 include other disaster sites 106 in addition to the disaster site 104, respectively. 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 a plurality of candidate cases by adding information 20 acquired indirectly from the disaster in addition to the disaster information 14 acquired directly from the disaster. 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, position) on an object that can be affected by the disaster, for example, a person or a vehicle, in each section (hereinafter referred to as “grid”) 300. .

Since the state of the object changes around the disaster area, such as when the object is about to leave the disaster area, the state of the object, for example, the direction of movement of the object, the movement speed, the number of objects, etc. The disaster response system 1 can actually determine the optimum case for the actual situation of the disaster from a plurality of candidate cases by comparing the disaster situation with the candidate cases.

The position data of the target 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 (hereinafter also referred to as “car navigation”). The disaster response system 1 continuously receives the GPS information 20, obtains the movement characteristics as the attribute values of the target object and / or the operation characteristics such as the movement speed, and expresses at least the movement direction as a vector, for example. To do. Reference numeral 302 is a vector representing the moving direction of the object belonging to each grid. When a plurality of objects belong to one grid, for example, the average of the movement directions of each of the plurality of objects may be used as the characteristic value or 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 movement direction of the target object belonging to each grid. The disaster response system 1 calculates the moving direction of the target data by referring to the position data of the target object corresponding to the candidate case from the preceding case 10.

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 mode of the target object (the moving direction of the target object) for each grid. ) Match or are similar, and all grids are taken into consideration and the best case with the closest moving direction of the object is determined.

3. 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, the moving direction 108 of the target object is different from the moving direction of the target object in the application target 100 in one or a plurality of grids. 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 that the possibility is high. Therefore, the disaster response system 1 can search for cases that match the actual disaster situation even if the disaster information is insufficient.

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

The central computer 400 includes well-known hardware (hard disk device, main memory, CPU, etc.) necessary for performing related processing. Application programs and data for performing related processing are recorded in the hard disk device (non-temporary storage medium), and the CPU 401 implements the related processing described above by executing the application program. A work area is configured in the main memory. Further, a management computer 408 is connected to the central computer 400 via the LAN 410. The management computer 408 applies predetermined management processing such as transmitting a command for causing the central computer 400 to execute processing for disaster response.

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

The position database 402C records the position data of the target affected by the transition of the disaster in the form of a table. The position data of the target object includes time-series information of the position of the target object evacuating from or trying to evacuate. 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 a definition file format. The parameter is control information necessary for processing for determining an optimum case based on the acquired disaster information. Details of the parameters will also be described later.

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

The fire station operator 422 records disaster information on the fire station server 420. The fire department acquires disaster information through 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 of a monitoring camera in a public place such as an intersection is supplied to a local government such as a police.

Further, the location information of the mobile portable terminal 442 such as a smartphone is supplied to the communication carrier server 440 via the base station 444. Furthermore, the position information of the car navigation system 448 is supplied to the telematics service server 446. The central computer 400 can obtain the person position information 20 from the communication carrier server 440, the car 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 person / vehicle information 20 in the storage device 402 or the built-in hard disk device.

The data table of the case database 402B described above is configured as shown in FIG. 5, for example. This table stores disaster data such as the location and scale of fire determined or calculated by simulation or past case analysis, for example. The disaster data includes a predetermined time range (Time_min, Time_max) and a disaster state (Status) for each predetermined geographical section (X_min, X_max, Y_min, Y_max). Damage 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. The row information of the table based on the same ID indicates the analysis result of one simulation or past case. For example, methods disclosed in Japanese Patent Application Laid-Open No. 2007-164625 and Japanese Patent Application Laid-Open No. 8-249313 are known as methods for simulating fire spread.

The disaster state is determined based on the characteristics of the disaster, such as the scale of the disaster and the type of damage, for each predetermined time range and each predetermined geographical section. Damaged states are, for example, 0: before fire, 1: flames are ejected only from openings, 2: openings and roofs or flames are ejected, 3: the entire compartment is burned as an integral flame, and 4: fire extinguishing is classified. Is done.

The above-described position database 402C is configured as a table (FIG. 6) that stores position information of the object. In the position data table, for example, position data of the target object calculated as a result of evacuation simulation of the target object or behavior analysis of the target object in the actual case is stored based on the case database. The position data is stored in one row of the table as coordinates (X, Y) existing at a certain time (Time) with a specific person or car (Object_ID). Obeject_ID is an identifier of the object. As an evacuation simulation method, for example, those described in Japanese Patent Application Laid-Open Nos. 5-40887 and 2006-163837 are known.

Next, the parameter file 402A will be described. There are a plurality of types of parameters, and the first parameter is a parameter for acquiring the disaster information and defining an application area where it is desired to determine a transition such as the expansion of the disaster. This parameter includes the start point X coordinate, start point Y coordinate, end point X coordinate, and 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 length of the grid. The size of the grid may be set as appropriate by the administrator. The administrator 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 object state is improved, but on the other hand, the search takes time due to the increase in the number of grids. The size may be determined as appropriate.

The third parameter is a parameter that defines the characteristics of the grid, and in particular, a parameter that defines the characteristics of the object. As described above, the feature of the target object is, for example, the average moving direction (vector) of the target object, the number of target objects, or the average moving speed of the target object. The administrator can also freely define the third parameter.

The fourth parameter is a parameter that defines a time range for calculating the characteristics of the grid, and the fifth parameter is a parameter that defines a method for calculating the similarity between the application target 100 and the candidate case. For example, cosine similarity (an index indicating similarity in vector direction) (see paragraph 0024 of JP-A-2015-139454) and deviation sum of squares (an index indicating the magnitude of variation in numerical values) ( (See paragraphs 0034 and 0035 of JP-A-10-244892). The administrator can also 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 each process of the parameter management 400A, the case search control 400B, and the similarity calculation control 400C as the disaster response process. 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 the disaster information from the fire department server 420, for example, the occurrence of a fire after the occurrence of the earthquake, the controller 401 starts the 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 according to 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 target object from the server 440 and the server 446, and continuously stores the position information of the target object in the application area.

The controller 401 reads the setting information of the application area 102 and the setting information of the grid 300 as set parameters 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, a fire occurrence) is set in a bit area with a gray color. According to the bitmap control information shown in FIG. 8, a fire occurrence flag is set in bits (1, 2) and bits (2, 3). The controller 401 stores the created bitmap control information in the work area.

Then, the controller 401 refers to the case database 402B and calculates bitmap control information corresponding to the application area 102 (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 damage state is 1 to 3 as a disaster occurrence. 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, the bitmap control information (FIG. 8) created based on the actual disaster situation, and the bitmap created based on the case database 402B. Compared with the control information, out of the plurality of bitmap control information, the bitmap control information in which the damage is recorded in the same bit area as the former bitmap control information is extracted as the 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 in order 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 for the bitmap control information (FIG. 8) corresponding to the disaster situation. In order to calculate each information (FIG. 9) similarity, similarity calculation conditions are determined (S1112). Candidate examples with a higher degree of similarity are more suitable for the actual situation of the disaster. The controller 401 employs, for example, the moving direction (grid feature value) of the object in each grid as a condition for calculating the similarity.

Subsequently, the controller 401 calculates the feature value of the grid corresponding to each bit area for each of the bitmap control information corresponding to the disaster situation (FIG. 8) and the bitmap control information corresponding to the candidate case (FIG. 9). (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 target object from the position of the target object and the time range determined by the fourth parameter.

The controller 401 sets the moving direction of the target 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 bit area corresponding to the bitmap control information corresponding to the disaster situation (FIG. 10) and the bitmap control information corresponding to the candidate case (FIG. 11). 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 similarities of all the bit areas of the bitmap control information to all 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 having the highest total similarity as the optimum case that best matches the actual situation of the disaster situation. According to FIG. 11, the controller 401 determines the candidate case 2 as the optimum case (S1120).

Next, the controller 401 extracts a data group having the same ID as the case ID of the optimum case from the case database 402B. The extracted data group corresponds to the deployment scenario of the disaster situation. The controller 401 configures a disaster situation development prediction data file from the extracted data group (S1122), and transmits it to the

servers

420, 440, and 446.

When the client computer connected to these servers reproduces the disaster situation development prediction data file, the client computer can display the disaster situation in 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 (fire spread location). When the administrator operates the search start button 134, the client computer displays the progress of the disaster situation (fire spread simulation) based on the disaster situation development prediction data file.

As shown in FIG. 13, a plurality of search buttons 140 are provided, and the administrator operates the search buttons in place of each other, so that the client computer displays the fire spread location (the location where the fire was actually confirmed and the occurrence of the fire) It is also possible to display it separately from the estimated location), display of fire spread simulation, display of the object (density of the object), or display of the moving direction of the object, or overlay these can do.

The central computer 400 or the

servers

420, 440, and 446 calculates the direction in which the object should evacuate based on the disaster situation development prediction data file and the object evacuation simulation program, and transmits the calculation result to the client computer. Thus, the evacuation direction of the object can be displayed on the client computer.

The central computer 400 repeatedly executes the above-described flowchart every predetermined time so that the optimum case corresponding to the current disaster situation can be updated every predetermined time, and the disaster response simulation based on the latest optimum case is performed. The client device can be continuously deployed.

The feature value of the grid is not limited to the value of the movement mode of the target object such as the moving direction of the target object. For example, “not damaged” is also an influence of the disaster in a broad sense, and may be adopted as a characteristic value of the grid. FIG. 14 shows bitmap control information in which non-disaster information is set. A non-damaged flag (shown in gray color) is set in the bit area 120 corresponding to the grid where it has been confirmed that no damage has actually occurred.

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

The controller 401 calculates the moving speed of the target 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 target object It can be determined that there is no urgency in the movement of the grid and that there is no damage to the grid. When there are a plurality of objects, the controller 401 may determine that the grid is not damaged if the average value of the moving speeds of the objects is equal to or less than a predetermined value.

Based on the information from the carrier server 440, the controller 401 can afford to use the mobile portable terminal if there is a record of SNS transmission such as mail transmission and Twitter on the mobile portable terminal belonging to the grid. Since there is no urgent need to evacuate, a non-damaged flag is set in the bit area corresponding to this grid.

The disaster response system may refer to the non-disaster information in calculating the similarity of cases. In

candidate cases

3, 5, and 6 shown in FIG. 15, in the bitmap control information corresponding to the actual disaster situation, the disaster information 104 is set in the bit area 120 in which the non-damage information is set. The controller 401 adjusts the total similarity by deducting the similarity of the

candidate cases

3, 5, and 6 in accordance with the presence / absence of the disaster information 104 set in the non-damaged bit area 120, the number thereof, and the like. As a result, the disaster response system 1 can determine the similarity between the candidate case and the current damage situation by adding non-damage information to the data of the target object. Can be improved.

In the above-described embodiment, the information processing system has been described as a disaster response system, but the information processing system can also be realized as a traffic accident response system. The database 10 stores past traffic accident history (date and time, location of occurrence, scale, etc.). The traffic accident response system stores vehicle travel information (date and time, position, etc.) acquired from the car navigation system in the storage device 402. When an accident occurs, the traffic accident case response system searches a database by occurrence location, scale, and the like. From the obtained multiple cases, a case where the surrounding situation (number of cars) at the time of the accident is similar is selected. According to the traffic accident response system, it is possible to acquire a case suitable for the accident situation as the subsequent traffic congestion or the location of the secondary disaster changes depending on the surrounding situation of the vehicle at the time of the accident.

Furthermore, the information processing system can be realized as an evacuation response system. The database 10 stores past evacuation training history (date and time, assumed disaster location, etc.) conducted at a shopping mall or the like. The evacuation response system stores the location information (date and time, location, etc.) of a person acquired from a mobile terminal or the like in the storage device 402. When the evacuation system detects any disaster where the occurrence location is unknown, it acquires all the dates and times of past evacuation training history, searches the person's location information at the obtained date and time, in the direction of movement of the person, Acquire the assumed disaster location of an evacuation drill example similar to the surrounding situation (movement direction) at the time of the disaster. According to the evacuation response system, not only a disaster that can be determined by a fire alarm, such as a fire, but also a disaster that cannot be acquired can be registered.

Furthermore, the information processing system can be realized as a sales support system for forecasting sales when opening a new store. The database 10 stores past store opening history (date and time, location, store form, store size, store sales). The sales support system stores the location information (date and time, location, etc.) of the person acquired from the mobile terminal in the storage device 402. The sales support system searches the database based on the store form and scale being planned for opening a store, searches for the location information of people at the date and time of multiple cases, and out of the number of people at that date and time. , A store opening example similar to the surrounding situation (number of people) of the store opening planned place is acquired. According to the sales support system, sales vary depending not only on the store form and scale, but also on the surrounding situation of the person, so it is possible to obtain more useful examples.

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

Also, the control lines and information lines indicate what is considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. In practice, it may be considered that almost all components are connected to each other.

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

DESCRIPTION OF SYMBOLS 1 Information processing 10 Prior example 12 Database (RDBMS) which stores previous example
14 Damage Information 16 Object Information 400 Central Computer 401 Controller 402 Storage Device

Claims

An information processing system for determining an event occurring 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 is
Dividing the predetermined area range into a plurality of areas;
Of the plurality of regions, determine a region where an event occurs,
Calculating the effect of the event in each of the plurality of regions;
An information processing system that determines a case that matches a state of the predetermined region among the plurality of cases stored in the storage device based on the determined area and the calculated influence.
The case has a scenario of deployment of events occurring in the predetermined area range,
The scenario has a position and an occurrence time of the event,
The information processing system according to claim 1.
The controller dividing the predetermined area range into a plurality of areas includes dividing the predetermined area range into a plurality of equal sections, respectively.
The controller determining that the event is occurring includes based on a measurement or based on a notification;
The information processing system according to claim 1.
The controller calculating the influence of the event in each of the plurality of regions includes, based on additional information affected by the event, for each of the plurality of partitions.
The information processing system according to claim 3.
Based on the determined area and the calculated influence, the controller determines a case that matches 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 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 partitions;
including,
The information processing system according to claim 4.
The event includes a phenomenon that affects an operation mode of an object that can exist in each of the plurality of sections,
The controller calculates the operation characteristic of the target object from the operation mode of the target 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. To
The information processing system according to claim 4.
The controller acquires motion data of the target object for each of the plurality of sections, calculates motion characteristics of the target object from the acquired motion data,
The case stores the data of the object for each of the plurality of sections,
The controller compares, in each of the plurality of sections, the calculated operation characteristic of the target object with the operation characteristic of the target object obtained from each of the plurality of candidate cases, and based on the comparison result Determining the matching case from the plurality of candidate cases,
The information processing system according to claim 6.
The controller determines, as the matching case, a case having the motion characteristic of the target object that is closest to the calculated motion characteristic of the target object in each of the plurality of sections among the plurality of candidate cases. To
The information processing system according to claim 7.
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 7.
The controller is
Detecting the occurrence of the event in each of the plurality of sections,
Selecting cases where the event occurs in the same partition as the candidate cases;
The information processing system according to claim 5.
The controller creates the development of the event as video information based on the matching case, and distributes the video information to the information terminal.
The information processing system according to claim 5.
In order to determine an event that occurs in a predetermined area range, a computer is an information processing method for acquiring a related case from a plurality of cases,
The computer
Dividing the predetermined area range into a plurality of areas;
Of the plurality of regions, determine a region where an event occurs,
Calculating the effect of the event in each of the plurality of regions;
An information processing method for determining a case that matches a state of the predetermined area among the plurality of cases based on the determined area and the calculated influence.
A program for causing a computer to execute acquisition of a related case from a plurality of cases in order to determine an event occurring in a predetermined area range,
Dividing the predetermined area range into a plurality of areas;
Of the plurality of regions, determine a region where an event occurs,
Calculating the effect of the event in each of the plurality of regions;
A program for causing the computer to execute, based on the determined area and the calculated influence, determining a case that matches the state of the predetermined area among the plurality of cases.