JP6879192B2 - Event occurrence response system, method and program - Google Patents

Description

The present invention relates to an event occurrence response system, method and program for calculating the allocation of personnel or resources to deal with the occurrence of a predetermined event within a target area.

In recent years, Japan is aging, and the number of emergency services dispatch requests tends to increase accordingly. However, the budget allocated to the fire department is limited, and it is not possible to expect a significant increase in the number of ambulance crew members. If such a situation continues, there is a concern that the lifesaving rate will decrease and the working conditions of emergency personnel will deteriorate, and a method for improving these is required.

As one of such methods, for example, when an abnormality is detected, a system is known in which nursing care information indicating the existence of a person requiring long-term care in each dwelling unit is displayed and output by voice, thereby causing a fire. Sometimes the rescuer can preferentially assist the care recipient (see, eg, Patent Document 1).

Japanese Unexamined Patent Publication No. 2003-256963

As another way to improve the decline in the lifesaving rate and the deterioration of the working conditions of emergency personnel, if an abnormality suddenly occurs somewhere in the target area, it will be possible to quickly rush to the site where the abnormality occurred. In addition, it is conceivable to appropriately allocate personnel and resources within the target area.

In addition, when allocating personnel and resources within the target area in this way, for example, if a place where the number of injured or sick people is likely to increase pinpointly can be taken into consideration separately from other places, the above personnel And resources can be arranged in a more suitable position by quickly rushing to the site where an abnormality has occurred and responding.

The present invention has been made by paying attention to the above circumstances, and an object of the present invention is to take into consideration the position information of a preset monitoring target location when a predetermined event occurs in the target region. The purpose is to provide event response systems, methods and programs that can calculate the allocation of personnel or resources to deal with.

In order to solve the above-mentioned problems, the first aspect of the present invention is based on event occurrence past data indicating that a predetermined event has occurred in a target area including a plurality of areas by location, when the event occurs. In the event occurrence response system that calculates the allocation of personnel or resources to deal with, for each of the preset monitoring target locations, the number of occurrences of the event at the location is calculated from the event occurrence past data. For each of the first extraction unit for extracting the data to be shown and the plurality of areas, the number of occurrences of the event in the area other than the monitoring target location is shown from the event occurrence past data. The second extraction unit that extracts data as data indicating the number of occurrences of the event related to the area, and the above-mentioned thing at each of the monitoring target locations indicated by the data extracted for each of the monitoring target locations. The number of occurrences of the elephant, the position information of each of the monitoring target locations, the number of occurrences of the event related to each of the plurality of areas, and the plurality of occurrences of the event, which are shown by the data extracted for each of the plurality of areas. It is provided with an allocation calculation unit that calculates the allocation of personnel or resources for coping with the occurrence of the event based on the position information related to each of the areas.

In the second aspect of the present invention, the arrangement calculation unit determines the number of occurrences of the event at each of the monitored locations, which is indicated by the data extracted for each of the monitored locations. Using the position information of each place, the position information related to each of the plurality of areas is obtained with respect to the number of occurrences of the event related to each of the plurality of areas indicated by the data extracted for each of the plurality of areas. It is used to calculate the position of the center of gravity of the place where the event occurs as the allocation of personnel or resources for coping with the occurrence of the event.

In the third aspect of the present invention, the first extraction unit uses the event occurrence past data as data indicating the number of occurrences of the event at each of the monitoring target locations on a predetermined date and time. Data indicating the number of occurrences of the event at the location under the conditions is extracted, and the arrangement calculation unit indicates the location indicated by the data extracted by the first extraction unit for each of the monitoring target locations. The predicted value of the number of occurrences of the event in the place is calculated by reflecting the change from the time of the predetermined date and time condition in the external condition associated with the place in the number of occurrences of the event in the place. Based on the external condition reflection unit, the predicted value of the number of occurrences of the event at the location calculated for each of the monitoring target locations, and the position information of each of the monitoring target locations, the personnel or It is provided with a calculation unit for calculating the allocation of resources.

In a fourth aspect of the present invention, the second extraction unit sets a predetermined date and time from the past event occurrence data as data indicating the number of occurrences of the event related to the area for each of the plurality of areas. Data indicating the number of occurrences of the event in the area other than the monitoring target location under the conditions is extracted for each location where the external conditions affecting the occurrence of the event are different. For each of the plurality of areas, the arrangement calculation unit extracts the event related to the area where the external conditions affecting the occurrence of the event indicated by the data extracted by the second extraction unit are different. The change in the number of occurrences from the time of the predetermined date and time condition in the external condition associated with each place is reflected, and the predicted value of the number of occurrences of the event related to the area is set to the predicted value of the event. The external condition reflection unit, which is calculated for each location where the external conditions that affect the occurrence are different, and the external condition reflection unit, which is calculated for each location where the external conditions that affect the occurrence of the event are different for each of the plurality of areas, are calculated before the area. It is provided with a calculation unit for calculating the allocation of the personnel or resources based on the predicted value of the number of occurrences of the above-mentioned events and the position information related to each of the plurality of areas.

A fifth aspect of the present invention is such that the preset monitored location includes at least one of a hospital, a nursing home, a school, and a playground.

A sixth aspect of the present invention is such that the external conditions include at least one of weather conditions, disease epidemics, and age group population distribution.

According to the first aspect of the present invention, first, for each of the preset monitoring target locations from the event occurrence past data indicating that a predetermined event has occurred in the target area including a plurality of areas for each location. , The first extraction process is executed, in which data indicating the number of occurrences of the above events at the location is extracted. On the other hand, for each of the plurality of areas, the data indicating the number of occurrences of the above-mentioned events in the area other than the above-mentioned monitoring target place is the number of occurrences of the above-mentioned events in the area from the above-mentioned event occurrence past data. The second extraction process, which is extracted as data indicating the above, is executed. After that, the number of occurrences of the above-mentioned events in each of the monitored places, the position information of each of the monitored places, and each of the plurality of areas shown by the data extracted for each of the monitored places. Based on the number of occurrences of the above-mentioned events related to each of the plurality of areas and the position information related to each of the plurality of areas, the personnel for coping with the occurrence of the above-mentioned events indicated by the data extracted from Alternatively, the resource allocation is calculated. In this way, it is possible to calculate the allocation of personnel or resources to deal with the occurrence of a predetermined event in the target area. In addition, for example, the location where the number of occurrences of a predetermined event is likely to increase pinpointly is set as the preset monitoring target location, and the allocation of the personnel or resources is calculated in consideration of the above. Therefore, the calculated allocation of personnel or resources can be set to a more suitable position for quickly rushing to and responding to the site where the above-mentioned predetermined event has occurred.

According to the second aspect of the present invention, with respect to the number of occurrences of the above-mentioned events in each of the monitored locations, the data extracted for each of the monitored locations indicates the position of each of the monitored locations. Regarding the number of occurrences of the above-mentioned event related to each of the plurality of areas indicated by the data extracted for each of the plurality of areas using the information, the position information related to each of the plurality of areas is used to describe the above-mentioned event. The position of the center of gravity of the place where the above-mentioned event occurs is calculated as the allocation of personnel or resources for dealing with the occurrence. For example, when the personnel or resources are arranged in one place, the position of the center of gravity is calculated as the arrangement of the personnel or resources in this way, so that the location unit of the monitoring target or the area unit can be described. It is possible to calculate the allocation of the above personnel or resources, taking into account the number of occurrences of events evenly.

According to the third aspect of the present invention, in the first extraction process, for each of the monitored locations, the number of occurrences of the event at the location is determined from the past event occurrence data under a predetermined date and time condition. Data showing the number of occurrences of the above-mentioned events at the relevant place is extracted. After that, for each of the monitored locations, the number of occurrences of the event at the location indicated by the extracted data is changed from the predetermined date and time conditions under the external conditions associated with the location. Is reflected, and the predicted value of the number of occurrences of the above events at the relevant place is calculated. As a result, the allocation of the personnel or resources is determined based on the predicted value of the number of occurrences of the event at the location calculated for each of the monitoring target locations and the location information of each of the monitoring target locations. It is calculated. As the cause of the occurrence of the above-mentioned predetermined event, for example, external conditions such as weather conditions, cold / influenza epidemics, changes in population distribution, etc. can be considered, and if such external conditions are different, the above-mentioned predetermined events will occur. The proportion of the number of events that have occurred may not match the proportion of the number of events that will occur. Therefore, by reflecting the external condition in the number of occurrences of the predetermined event as in the above-described configuration, the calculated personnel or resource allocation can be quickly rushed to the site where the predetermined event has occurred and responded. It can be a more suitable position.

According to the fourth aspect of the present invention, in the second extraction process, for each of the plurality of areas, as data indicating the number of occurrences of the event related to the area, a predetermined date and time from the past event occurrence data. Data indicating the number of occurrences of the above-mentioned events in the area other than the above-mentioned monitoring target place under the conditions is extracted for each place where the external conditions affecting the occurrence of the above-mentioned events are different. After that, for each of the plurality of areas, the number of occurrences of the above-mentioned event related to the area extracted for each place where the external conditions affecting the occurrence of the above-mentioned event are different, which is indicated by the above-extracted data, is added to each of the above-mentioned places. Changes in the associated external conditions from the time of the predetermined date and time conditions are reflected, and the predicted value of the number of occurrences of the above events related to the area is different for each place where the external conditions that affect the occurrence of the above events are different. Is calculated to. As a result, the predicted value of the number of occurrences of the above-mentioned event related to the area, which is calculated for each place where the external conditions affecting the occurrence of the above-mentioned event are different for each of the plurality of areas, and each of the plurality of areas. The allocation of the above personnel or resources is calculated based on the location information. By reflecting the external conditions in the number of occurrences of the predetermined event in this way, the position where the calculated personnel or resource allocation is more suitable for quickly rushing to the site where the predetermined event occurs and responding. Can be.

That is, according to the present invention, an event that can calculate the allocation of personnel or resources for coping with the occurrence of a predetermined event in the target area in consideration of the preset position information of the monitoring target location. Occurrence response systems, methods and programs can be provided.

A bird's-eye view of a process for calculating the allocation of personnel or resources for coping with the occurrence of a predetermined event in a target area according to the first embodiment of the present invention. The block diagram which shows the functional structure of the event occurrence response system which concerns on 1st Embodiment of this invention. FIG. 5 is a flow chart showing an example of personnel or resource allocation calculation processing executed by the control unit shown in FIG. The figure which shows an example of the past emergency data stored in the event occurrence past data database. The figure which shows an example of the data by facility extracted from the past emergency data shown in FIG. The figure which shows an example of the data by facility extracted from the past emergency data shown in FIG. The figure which shows an example of the layer-specific data extracted from the past emergency data shown in FIG. The figure which shows an example of the layer-specific data extracted from the past emergency data shown in FIG. The figure which shows an example of the list of the predicted value of the number of injuries and sicknesses shown by the data by a facility and the data by a layer, or the number of the injured and sickness calculated from the data by a facility and the data by a layer. The schematic diagram of the staffing or resource allocation calculation process based on the list of the number of injured persons shown in FIG.

Hereinafter, embodiments according to the present invention will be described with reference to the drawings.
[First Embodiment]
(Constitution)
FIG. 1 is a bird's-eye view of a process for calculating the allocation of personnel or resources for coping with the occurrence of a predetermined event in a target area according to the first embodiment of the present invention.
The event occurrence past data database 121 stores event occurrence past data indicating that a predetermined event has occurred in a target area including a plurality of areas for each location.

From the event occurrence past data, area-specific data d1 indicating that the predetermined event has occurred in the area a1 of the plurality of areas is extracted, and the above-mentioned data d1 for each location is extracted in the area a2 of the plurality of areas. Area-specific data d2 indicating that a predetermined event has occurred by location is extracted, and further, area-specific data d3 indicating that the predetermined event has occurred in area a3 of the plurality of areas is extracted. Will be done.

For example, from the number of occurrences of predetermined events in the areas a1, a2, and a3 indicated by the area-specific data d1, d2, and d3, and the position information corresponding to the areas a1, a2, and a3, respectively, in the target area. It is possible to calculate the allocation of personnel or resources to deal with the occurrence of a predetermined event. As for the allocation of the personnel or resources, for example, for each of the number of occurrences of a predetermined event in the areas a1, a2, a3, the occurrence of the above event is performed by using the position information corresponding to each of the areas a1, a2, a3. The position of the center of gravity of the place may be calculated. As the position information corresponding to the areas a1, a2, and a3, for example, the information of the representative position such as the center position of the areas a1, a2, and a3 is used.

Here, it is considered to consider a place where the number of occurrences of the above-mentioned predetermined events is likely to increase in a pinpoint manner as compared with, for example, a residential area, in the calculation of the above-mentioned personnel or resource allocation separately from other places. .. For example, the elderly homes and hospitals in area a1 are considered separately from other locations in the calculation of personnel or resource allocation. As such a place, for example, a playground at a specific time and date may be used.

From the area-specific data d1, data indicating that the above-mentioned predetermined event has occurred in the elderly home and hospital is taken out, and further, facility-specific data corresponding to each individual elderly home and hospital is generated for each dispatch location name. For example, facility-specific data d1-f1 indicating that the above-mentioned predetermined event has occurred in a predetermined elderly home and facility-specific data d1-f2 indicating that the above-mentioned predetermined event has occurred in a predetermined hospital are extracted. ..

Under the control of the optimal placement calculation unit 114, the number of occurrences of the above-mentioned predetermined events in the above-mentioned predetermined elderly home, the location information of the predetermined elderly home, and the facility-specific data d1-f2 indicated by the facility-specific data d1-f1. In consideration of the number of occurrences of the above-mentioned predetermined events in the above-mentioned predetermined hospital and the location information of the predetermined hospital, the allocation of personnel or resources as described above is calculated. As a result, the personnel or resource allocation calculated in this way is more suitable for quickly rushing to and responding to the site where the predetermined event has occurred, as compared with the personnel or resource allocation calculation method described above. Can be a position.

Further, as the cause of the occurrence of the above-mentioned predetermined event, for example, external conditions such as weather conditions, the epidemic of cold / influenza, and changes in population distribution can be considered. The external conditions that affect the occurrence of the above-mentioned predetermined event differ from place to place.

Therefore, under the control of the external condition reflecting unit 1141, the external conditions corresponding to each are reflected in the facility-specific data d1-f1 and d1-f2. Further, regarding the data other than the facility-specific data d1-f1 and d1-f2 among the area-specific data d1, data is extracted for each location that affects the occurrence of the above-mentioned predetermined event, and for example, the layer-specific data d1-l1 , D1-l2 is generated. Under the control of the external condition reflecting unit 1141, the external conditions corresponding to each are reflected in the layer-specific data d1-l1 and d1-l2.

In the calculation process of the allocation of personnel or resources under the control of the optimum allocation calculation unit 114, external conditions are thus applied to the facility-specific data d1-f1, d1-f2 and the layer-specific data d1-l1, d1-l2. By using the reflected one, the calculated allocation of personnel or resources can be set to a more suitable position for promptly rushing to the site where the above-mentioned predetermined event occurs and responding.

FIG. 2 is a block diagram showing a functional configuration of the event occurrence response system 1 according to the first embodiment of the present invention.
The event occurrence response system 1 includes a control unit 11, a storage unit 12, and an input / output interface unit 13 as hardware.

The input / output interface unit 13 inputs, for example, an operation signal or the like input by the input unit 2 including a keyboard, a mouse, or the like to the control unit 11, and causes the display unit 3 to display the display data output from the control unit 11. ..

The storage unit 12 uses a non-volatile memory such as an HDD (Hard Disc Drive) or SSD (Solid State Drive) that can be written and read at any time as a storage medium, and an event occurs in order to realize the present embodiment. Past data database 121, area-specific data storage unit 122, facility-specific data storage unit 123, layer-specific data storage unit 124, external condition reflection condition storage unit 125, external condition database 126, and optimal placement information storage unit. It has 127 and.

The event occurrence past data database 121 stores event occurrence past data indicating that a predetermined event has occurred in a target area including a plurality of areas for each location. The event occurrence past data is, for example, past emergency data regarding the activities of the past emergency services, and in this case, the above-mentioned predetermined event is the occurrence of an injured person.

The area-specific data storage unit 122 is used to store, for each of the plurality of areas, data indicating that the predetermined event has occurred in the area under predetermined date and time conditions. ..

The facility-specific data storage unit 123 is used to store data indicating the number of occurrences of the above-mentioned events at the above-mentioned predetermined date and time conditions for each of the preset monitoring target places. As the preset monitoring target location, for example, a specific location such as a hospital, a nursing home, a school, or a playground is used.

The layer-specific data storage unit 124 provides data indicating the number of occurrences of the above-mentioned events in each of the above-mentioned plurality of areas under the above-mentioned predetermined date and time conditions in a place other than the above-mentioned monitoring target place. It is used to store the external conditions that affect the occurrence of the above events in different places. As external conditions, for example, weather conditions, disease epidemics, population distribution by age group, and the like are used.

The external condition reflection condition storage unit 125 stores information indicating the type of external condition that affects each location.

The external condition database 126 stores the past and present status of the external condition for one or more kinds of external conditions.

The optimum placement information storage unit 127 is used to store the allocation of personnel or resources calculated by the optimum placement calculation unit 114 to deal with the occurrence of the predetermined event in the target area. ..

The control unit 11 includes a hardware processor such as a CPU (Central Processing Unit) and a program memory, and in order to execute the processing function in the present embodiment, the area-specific data acquisition unit 111 and the facility-specific data extraction unit 112 A layer-specific data extraction unit 113, an optimum arrangement calculation unit 114, and an output control unit 115 are provided. All of the processing functions in each of these parts are realized by causing the hardware processor to execute the program stored in the program memory. In addition, instead of using the program stored in the program memory, the program provided through the network may be used.

The area-specific data acquisition unit 111 accesses the event occurrence past data stored in the event occurrence past data database 121 of the storage unit 12, and for each of the plurality of areas, the said event occurrence past data under the predetermined date and time conditions. The process of acquiring the data indicating that the above-mentioned predetermined event has occurred in the area for each location is executed as the data for each area. After that, the area-specific data acquisition unit 111 executes a process of storing the acquired area-specific data in the area-specific data storage unit 122 of the storage unit 12.

The facility-specific data extraction unit 112 first reads the area-specific data stored in the area-specific data storage unit 122 of the storage unit 12, and from the read area-specific data, the preset monitoring target. For each of the locations, a process of extracting data indicating the number of occurrences of the above events at the location as facility-specific data is executed. After that, the facility-specific data extraction unit 112 executes a process of storing the extracted facility-specific data in the facility-specific data storage unit 123 of the storage unit 12.

The layer-specific data extraction unit 113 first executes a process of reading out the area-specific data stored in the area-specific data storage unit 122 of the storage unit 12. The layer-specific data extraction unit 113 indicates the number of occurrences of the above-mentioned events in the area other than the above-mentioned monitoring target place from the corresponding-mentioned read-out area-specific data for each of the above-mentioned plurality of areas. A process of extracting data as data indicating the number of occurrences of the above-mentioned events related to the area is executed. In the extraction process of the layer-specific data extraction unit 113, the layer-specific data extraction unit 113 indicates the type of external condition that is stored in the external condition reflection condition storage unit 125 of the storage unit 12 and affects each location. The information is accessed, and the extracted data is separately extracted as layer-specific data for each location where the external conditions that affect the occurrence of the above event are different. After that, the layer-specific data extraction unit 113 executes a process of storing the extracted layer-specific data in the layer-specific data storage unit 124 of the storage unit 12.

The optimum arrangement calculation unit 114 reads out the facility-specific data stored in the facility-specific data storage unit 123 of the storage unit 12, and further reads out the layer-specific data stored in the layer-specific data storage unit 124 of the storage unit 12. Execute the process. After that, the optimum arrangement calculation unit 114 reads out the number of occurrences of the above-mentioned events in each of the above-mentioned monitoring target locations, the position information of each of the above-mentioned monitoring target locations, and the reading, which are indicated by the read-out facility-specific data. Occurrence of the predetermined event in the target area based on the number of occurrences of the event related to each of the plurality of areas and the position information related to each of the plurality of areas indicated by the layer-specific data. Execute the process of calculating the allocation of personnel or resources to deal with the situation. In the personnel or resource allocation calculation process, for example, the location information of each of the monitored locations is used for the number of occurrences of the event in each of the monitored locations indicated by the read facility-specific data. , The center of gravity of the place where the predetermined event occurs by using the position information related to each of the plurality of areas for the number of occurrences of the event related to each of the plurality of areas indicated by the read data for each layer. The position may be calculated. The optimum allocation calculation unit 114 executes a process of storing the calculated information representing the allocation of personnel or resources in the optimum allocation information storage unit 127 of the storage unit 12.

The external condition reflection unit 1141 included in the optimum arrangement calculation unit 114 accesses the external condition reflection condition storage unit 125 and the external condition database 126 of the storage unit 12, and the read facility-specific data and layer-specific data are collected. It is possible to execute a process of calculating the predicted value of the number of occurrences of the above events by reflecting the external condition on the number of occurrences of the above events shown. The optimum allocation calculation unit 114 may execute the allocation calculation process of the personnel or resources based on the predicted value of the number of occurrences of the above events calculated under the control of the external condition reflection unit 1141.

The output control unit 115 accesses the optimum arrangement information storage unit 127 of the storage unit 12, and transmits the display data of the result of the allocation of the calculated personnel or resources to the display unit 3 via the input / output interface unit 13. Execute the process.

(motion)
Next, the operation of the event occurrence response system 1 configured as described above will be described.
FIG. 3 is a flow chart showing an example of personnel or resource allocation calculation processing executed by the control unit 11 shown in FIG.

First, in step S1, the control unit 11 determines that a predetermined event has occurred in the target area including a plurality of areas stored in the event occurrence past data database 121 under the control of the area-specific data acquisition unit 111. Event occurrence represented by location By accessing past data, data representing the occurrence of the predetermined event within the area under predetermined date and time conditions for each of the plurality of areas is used as area-specific data. It is acquired and the acquired area-specific data is stored in the area-specific data storage unit 122.

FIG. 4 is a diagram showing an example of the event occurrence past data. In FIG. 4, as an example of the past occurrence data of the above-mentioned event, the past emergency data regarding the past activities of the ambulance crew at the time of the occurrence of the injured or sick as a predetermined event is shown. The past emergency data includes, for example, the following.
・ Awareness date and time ・ Occurrence zone code (indicating which ambulance crew has jurisdiction)
・ Location of occurrence (houses, nursing homes, hospitals, roads, outdoors, stores, offices, playgrounds, etc.)
・ Accident type name (sudden illness, general injury, transfer to hospital, etc.)
・ Name of injury or illness (dehydration, systemic symptoms, cold, acute alcohol intoxication, subarachnoid hemorrhage, etc.)
・ Age / Place of dispatch (address)
・ Name of dispatch location

In the example of FIG. 4, as each of the plurality of areas, for example, the target area divided by the standard area mesh is used. As the level of the standard area mesh, for example, a tertiary mesh consisting of 1 km square is used.

A case where the process of step S1 is executed in the example of FIG. 4 will be described. In the example of FIG. 4, for example, the occurrence of the injured person is predicted every day and every hour. For this purpose, first, all the data of the same month and the same day of the week, which a certain ambulance crew is in charge of, are extracted from the above past emergency data. As an example, a certain ambulance crew is in charge of the occurrence zone code c1, July, Saturday, 1 hour from 13:00, and the data corresponding to the specified date and time condition is extracted. The dispatch location in the extracted past emergency data is converted into latitude / longitude information by, for example, a geocoding service in the city, and as a result, each dispatch location is included in which mesh, that is, in the above-mentioned plurality of areas. Which area is included is determined. The extracted data is divided into areas of the determination result, and is referred to as, for example, area-specific data d1 corresponding to area a1, area-specific data d2 corresponding to area a2, area-specific data d3 corresponding to area a3, and so on. Data for each area is acquired.

In step S2, under the control of the facility-specific data extraction unit 112, the control unit 11 first reads the area-specific data stored in the area-specific data storage unit 122, and from the read area-specific data, the control unit 11 first reads the data for each area. For each of the preset monitoring target locations, data indicating the number of occurrences of the above events at the location is extracted as facility-specific data. After that, the control unit 11 stores the extracted facility-specific data in the facility-specific data storage unit 123 under the control of the facility-specific data extraction unit 112.

5A and 5B are diagrams showing an example of facility-specific data extracted from the area-specific data d1, d2, d3, ... Described in relation to FIG. In the examples of FIGS. 5A and 5B, an elderly home and a hospital are used as the preset monitoring target locations. That is, FIG. 5A shows an example of facility-specific data for a specific elderly home extracted from the area-specific data d1, d2, d3, ... Described in relation to FIG. 4, and FIG. 5B is a diagram. An example of facility-specific data for a specific hospital, which is extracted from the area-specific data d1, d2, d3, ... Explained in relation to No. 4, is shown. The facility-specific data is not the data shown in FIGS. 5A and 5B, but is, for example, data indicating the number of occurrences of the above-mentioned events at each of the preset monitoring target locations. You may.

In step S3, the control unit 11 first reads out the area-specific data stored in the area-specific data storage unit 122 under the control of the layer-specific data extraction unit 113. Next, under the control of the layer-specific data extraction unit 113, the control unit 11 is located in the area and is the monitoring target location from the corresponding read area-specific data for each of the plurality of areas. Data indicating the number of occurrences of the above-mentioned events in a place other than the above is extracted as data indicating the number of occurrences of the above-mentioned events related to the area. In the extraction process under the control of the layer-specific data extraction unit 113, the control unit 11 provides information stored in the external condition reflection condition storage unit 125 to indicate the type of external condition that affects each location. Access and extract the extracted data separately as layer-specific data for each location where the external conditions that affect the occurrence of the above event are different. After that, the control unit 11 stores the extracted layer-specific data in the layer-specific data storage unit 124 under the control of the layer-specific data extraction unit 113.

6A and 6B are diagrams showing an example of layer-specific data extracted from data other than those extracted as facility-specific data among the area-specific data described in relation to FIG. In the examples of FIGS. 6A and 6B, for example, when the place of occurrence is an office, the external conditions such as weather conditions and population distribution by age group do not affect the occurrence of the injured or sick, and when the place of occurrence is a house, the outside thereof. Assuming that the condition affects the occurrence of the injured or sick, the layer-specific data d1 shown in FIG. 6A corresponds to the data in which the occurrence location is the office from the data other than the data extracted as the facility-specific data in the area-specific data d1. −L1 is extracted, and another layer-specific data d1-l2 shown in FIG. 6B corresponding to the data in which the place of occurrence is a house is extracted. The layer-specific data is not the data shown in FIGS. 6A and 6B. For example, for each of the plurality of areas, the occurrence of the above event occurs in the area other than the monitoring target location. Data indicating the number itself may be extracted for each place where the external conditions that affect the occurrence of the above event are different.

Next, in step S4, the control unit 11 reads out the facility-specific data stored in the facility-specific data storage unit 123 under the control of the optimum arrangement calculation unit 114, and further stores the facility-specific data in the layer-specific data storage unit 124. Read each layer-specific data. After that, the control unit 11 reads out the number of occurrences of the event at each of the monitored locations, the position information of each of the monitored locations, and the read-out facility-specific data. When the predetermined event occurs in the target area based on the number of occurrences of the event related to each of the plurality of areas and the position information related to each of the plurality of areas indicated by the layer-specific data. Calculate the allocation of personnel or resources to deal with. For example, in the case of allocating personnel or resources to one place, in the personnel or resource allocation calculation process, the occurrence of the above-mentioned event at each of the above-mentioned monitoring target locations indicated by the above-read facility-specific data. Regarding the number, the position information of each of the monitoring target locations is used, and the number of occurrences of the above-mentioned events related to each of the above-mentioned plurality of areas indicated by the read-out layer-specific data is related to each of the above-mentioned plurality of areas. The position information may be used to calculate the position of the center of gravity of the place where the above-mentioned predetermined event occurs.

In the personnel or resource allocation calculation process under the control of the optimum allocation calculation unit 114, the external condition reflection condition storage unit 125 and the external condition are controlled by the external condition reflection unit 1141 provided in the optimum allocation calculation unit 114. After accessing the database 126 and reflecting the external conditions on the number of occurrences of the above-mentioned events indicated by the read-out facility-specific data and layer-specific data, the predicted value of the number of occurrences of the above-mentioned events is calculated, and then the above-mentioned personnel. Alternatively, the allocation of resources may be calculated. In the process of reflecting the external conditions on the number of occurrences of the above events indicated by the data for each facility, each of the locations to be monitored is associated with the number of occurrences of the above events at the location indicated by the corresponding data for each facility. The change from the above-mentioned predetermined date and time condition in the external condition is reflected. On the other hand, in the process of reflecting the external conditions on the number of occurrences of the above events indicated by the layer-specific data, for each of the plurality of areas, the external conditions that affect the occurrence of the events indicated by the corresponding layer-specific data are different for each place. The number of occurrences of the above-mentioned events related to the extracted area reflects the change from the above-mentioned predetermined date and time conditions in the external conditions associated with each of the above-mentioned places. As a result, in the personnel or resource allocation calculation process under the control of the optimum allocation calculation unit 114, it was calculated from the facility-specific data for each of the monitoring target locations under the control of the external condition reflection unit 1141. , Calculated under the control of the external condition reflecting unit 1141 from the predicted value of the number of occurrences of the above-mentioned events at the relevant place, the position information of each of the above-mentioned monitored places, and the layer-specific data for each of the above-mentioned plurality of areas. In addition, the allocation of the personnel or resources is calculated based on the predicted value of the number of occurrences of the above-mentioned events related to the area and the position information related to each of the plurality of areas.

In the following, a method for reflecting the external condition, which is executed under the control of the external condition reflecting unit 1141, will be described in detail.
Here, especially in Japan, where the number of elderly people is increasing, the percentage of elderly people contributing to the number of injured and sick people is high, so it is important to use the population distribution by age group as an external condition. In addition, for example, in a general house where the indoor temperature is left to the resident, when the outside temperature rises, the indoor temperature of the house is likely to rise, but in hospitals and elderly homes where the indoor temperature is properly controlled. It is likely that the facility will have little impact. That is, the external conditions that affect the occurrence of the above event differ from place to place.

In relation to FIGS. 6A and 6B, it has been described above that the external conditions of weather conditions and population distribution by age group affect the occurrence of the layered data d1-l2 corresponding to the data in which the place of occurrence is a house. An example will be described in which the weather conditions and the population distribution by age group are reflected as external conditions in the number of injured or sick people indicated by the layer-specific data d1-l2.

First, the population distribution by age group is reflected. For the layer-specific data d1-l2, for example, the age group-specific population distribution 126C of the past emergency data and the latest age group-specific population distribution corresponding to the mesh associated with the area-specific data d1. With reference to 126D, the rate of increase or decrease in the number of population is calculated for each age group. An example of this calculation result is shown below.
0-9 years: 0.8,
10-19 years: 0.82
20-29 years: 0.86
30-39 years: 0.89,
40-49 years: 0.95,
50-59 years: 0.97,
60-69 years old: 1.0,
70-79 years: 1.1,
80-89 years: 1.1,
90-99 years: 1.2,
100 years and over: 1.2

Next, from the age in the layer-specific data d1-l2, the number of injured or sick persons for each age group for which the rate of increase or decrease in the number of population indicated by the layer-specific data d1-l2 was calculated was acquired, and the acquired number was obtained. Multiply the number of injured or sick people by age group by the corresponding increase or decrease rate of the population. For example, the number of injured persons aged 70-79, as shown by the layered data d1-l2, is multiplied by 1.1.

Next, reflect the weather conditions. The weather condition is, for example, hourly data and consists of the following items.
・ Atmospheric pressure, precipitation, temperature, humidity, wind direction, wind speed, sunshine duration, and total solar radiation

Here, for the sake of simplicity, the number of injured persons whose injury / illness name is dehydration indicated by the layered data d1-l2 is multiplied by C1 × (latest temperature-average of 13:00 in the past July). By doing so, the weather conditions are reflected (C1 is a coefficient). It should be noted that the weather conditions may be reflected in a more complicated method by using the wind speed, humidity, etc. among the weather conditions. Further, in order to reflect such an external condition, data of an arbitrary time period such as time series data from several hours ago may be used.

In this way, it is possible to reflect the external conditions on the number of injured persons related to the target data and calculate the predicted value of the future number of injured persons related to the target data.

In the above, an example in which the external conditions are reflected in the layer-specific data has been described, but in order to reflect the associated external conditions in the facility-specific data, the same processing as the layer-specific data may be performed.

FIG. 7 shows the number of injured persons or the number of injured persons indicated by the facility-specific data and the layer-specific data for the target area including the areas a1, a2, a3, a4, a5, a6, a7, a8, and a9, or the facility-specific data. It is a figure which shows an example of the list of the predicted value of the number of injured persons calculated as described above from the data by layer. From the predicted value of the number of injured persons or the number of injured persons shown here, the allocation of personnel or resources is calculated as described above.

Specifically, for example, when the personnel or resources are arranged in one place, the position of the center of gravity of the injured person occurrence place is calculated as the arrangement of the personnel or resources. In this case, the position of the center of gravity is calculated by the following formula.
x ₀ = ( _Σ x i g _i ) / (Σ _{g i} )
y ₀ = (Σy _i g _i ) / (Σ _{g i} )
Note that x _i and y _i are position information of latitude and longitude, for example, related to layer-specific data and facility-specific data. In the layer-specific data, x _i and y _i are, for example, position information of the center position of the mesh corresponding to the layer-specific data. On the other hand, in the facility-specific data, x _i and y _i are, for example, the location information of the monitoring target location related to the facility-specific data. Further, g _i, for example, appropriate victims occurrence count indicated by the layer-specific data or facility-specific data, or calculated victims occurred as described above from the victim generation number indicated by the layer-specific data or facility-specific data It is a predicted value of the number.

FIG. 8 is a schematic diagram of the personnel or resource allocation calculation process based on the list of the number of injured persons shown in FIG. 7. The x mark in each layer indicates the center position of the mesh corresponding to the layer. ● indicates the calculated position of the center of gravity. That is, by allocating personnel or resources at the position of the center of gravity, it becomes possible to quickly rush to the site where a predetermined event occurs and respond to it.

(effect)
(1) In the event occurrence past data stored in the event occurrence past data database 121 under the control of the area-specific data acquisition unit 111, which indicates that a predetermined event has occurred in the target area including a plurality of areas by location. By accessing, for each of the plurality of areas, data indicating that the above-mentioned predetermined event has occurred in the area under a predetermined date and time condition is acquired as area-specific data. Under the control of the facility-specific data extraction unit 112, data indicating the number of occurrences of the above-mentioned events at each of the preset monitoring target locations is extracted as facility-specific data from the area-specific data. Under the control of the layer-specific data extraction unit 113, for each of the plurality of areas, from the corresponding area-specific data, data indicating the number of occurrences of the above-mentioned events in the area other than the monitoring target place. Is extracted as data indicating the number of occurrences of the above-mentioned events related to the area. In the extraction process under the control of the layer-specific data extraction unit 113, the information indicating the type of external condition that affects each location, which is stored in the external condition reflection condition storage unit 125, is accessed to obtain the relevant information. The extracted data is separately extracted as layer-specific data for each location where the external conditions that affect the occurrence of the above event are different. After that, under the control of the optimum placement calculation unit 114, the number of occurrences of the above-mentioned events at each of the above-mentioned monitoring target locations, the position information of each of the above-mentioned monitoring target locations, and the above-mentioned Based on the number of occurrences of the above-mentioned events related to each of the above-mentioned plurality of areas and the position information related to each of the above-mentioned plurality of areas indicated by the extracted layer-specific data, the above-mentioned predetermined events in the above-mentioned target area The allocation of personnel or resources to deal with the occurrence is calculated. As the allocation of the personnel or resources, for example, regarding the number of occurrences of the above events in each of the monitoring target locations indicated by the extracted facility-specific data, the location information of each of the monitoring target locations is used. Regarding the number of occurrences of the event related to each of the plurality of areas indicated by the extracted layer-specific data, the position of the center of gravity of the place where the predetermined event occurs is determined by using the position information related to each of the plurality of areas. It is calculated.

In this way, it is possible to calculate the allocation of personnel or resources to deal with the occurrence of a predetermined event in the target area. In addition, for example, the location where the number of occurrences of a predetermined event is likely to increase pinpointly is set as the preset monitoring target location, and the allocation of the personnel or resources is calculated in consideration of the above. Therefore, the calculated allocation of personnel or resources can be set to a more suitable position for quickly rushing to and responding to the site where the above-mentioned predetermined event has occurred. Further, for example, when the personnel or resources are arranged in one place, the position of the center of gravity is calculated as the arrangement of the personnel or resources, so that the event can be calculated in units of the location to be monitored or in units of the area. It is possible to calculate the allocation of the above-mentioned personnel or resources in consideration of the number of occurrences of.

(2) In the above-mentioned personnel or resource allocation calculation process under the control of the optimum allocation calculation unit 114, the external condition reflection condition storage unit 125 and the external are under the control of the external condition reflection unit 1141 provided in the optimum allocation calculation unit 114. After accessing the condition database 126, the external conditions are reflected in the number of occurrences of the above-mentioned events indicated by the read-out facility-specific data and layer-specific data, and the predicted value of the number of occurrences of the above-mentioned events is calculated. The allocation of the above personnel or resources is calculated. In the process of reflecting the external conditions on the number of occurrences of the above events indicated by the data for each facility, each of the locations to be monitored is associated with the number of occurrences of the above events at the location indicated by the corresponding data for each facility. Changes from the above-mentioned predetermined date and time conditions in the external conditions are reflected. On the other hand, in the process of reflecting the external conditions on the number of occurrences of the above events indicated by the layer-specific data, for each of the plurality of areas, the external conditions that affect the occurrence of the events indicated by the corresponding layer-specific data are different for each place. The number of occurrences of the above-mentioned events related to the extracted area reflects the change from the above-mentioned predetermined date and time conditions in the external conditions associated with each of the above-mentioned places. As a result, in the personnel or resource allocation calculation process under the control of the optimum allocation calculation unit 114, it was calculated from the facility-specific data for each of the monitoring target locations under the control of the external condition reflection unit 1141. , Calculated under the control of the external condition reflecting unit 1141 from the predicted value of the number of occurrences of the above-mentioned events at the relevant place, the position information of each of the above-mentioned monitored places, and the layer-specific data for each of the above-mentioned plurality of areas. In addition, the allocation of the personnel or resources is calculated based on the predicted value of the number of occurrences of the above-mentioned events related to the area and the position information related to each of the plurality of areas.

As the cause of the occurrence of the above-mentioned predetermined event, for example, external conditions such as weather conditions, cold / influenza epidemics, changes in population distribution, etc. can be considered, and if such external conditions are different, the above-mentioned predetermined events will occur. The proportion of the number of events that have occurred may not match the proportion of the number of events that will occur. Therefore, by reflecting the external condition in the number of occurrences of the predetermined event as in the above-described configuration, the calculated personnel or resource allocation can be quickly rushed to the site where the predetermined event has occurred and responded. It can be a more suitable position.

[Other Embodiments]
The present invention is not limited to the first embodiment. For example, as an example of the event occurrence past data, the past emergency data regarding the past emergency services activities when the injured person occurred was given as an example, but the event occurrence past data can be of any kind within the target area. It may be data indicating that an event has occurred by location. In addition, in the above, the process of calculating the allocation of personnel or resources on a daily and hourly span has been described, but in urban areas where the population changes significantly over time, 30 minutes to 1 hour, etc. The same process may be performed in a short span of. Alternatively, the same process may be performed over a longer span. The date and time conditions of the data to be extracted can also be changed to arbitrary conditions.

Further, in the above description, as the allocation of personnel or resources, in particular, the case where personnel or resources are allocated in one place has been described with an example. However, the present invention is not limited to this, and as described above, the number of occurrences of the above-mentioned events is equally taken into consideration in the above-mentioned location unit of the monitoring target or the above-mentioned area unit, and the personnel or resources are adjusted. It is also possible to calculate the appropriate positions for arranging in two or more places.

Further, in the above, the example of extracting the data for each layer has been described, but when the data other than the data for each area extracted as the data for each facility is reflected in the data by the same external conditions, or the data is concerned. If the external conditions are not reflected in, the layer-specific data extraction process may not be executed.

Further, although the example of extracting the facility-specific data from the area-specific data has been described above, the facility-specific data may be directly extracted from the event occurrence past data instead of the area-specific data.

In addition, the types and configurations of the event occurrence response system, as well as the configurations of the event occurrence past data database, the external condition reflection condition storage unit, and the external condition database, etc., are variously modified without departing from the gist of the present invention. It is feasible.

In short, the present invention is not limited to the first embodiment as it is, and at the implementation stage, the components can be modified and embodied within a range that does not deviate from the gist thereof. In addition, various inventions can be formed by an appropriate combination of the plurality of components disclosed in the first embodiment. For example, some components may be deleted from all the components shown in the first embodiment. In addition, components from different embodiments may be combined as appropriate.

1 ... Event occurrence response system, 11 ... Control unit, 111 ... Area-specific data acquisition unit, 112 ... Facility-specific data extraction unit, 113 ... Layer-specific data extraction unit, 114 ... Optimal layout calculation unit, 1141 ... External condition reflection unit, 115 ... Output control unit, 12 ... Storage unit, 121 ... Event occurrence past data database, 122 ... Area-specific data storage unit, 123 ... Facility-specific data storage unit, 124 ... Layer-specific data storage unit, 125 ... External condition reflection condition storage Department, 126 ... External condition database, 126A ... Meteorological information at the time of emergency data recording, 126B ... Latest weather information, 126C ... Population distribution by age group at the time of emergency data recording, 126D ... Population distribution by the latest age group 127 ... Optimal layout information storage unit, 13 ... Input / output interface unit, 2 ... Input unit, 3 ... Display unit, d1, d2, d3 ... Area-specific data, d1-l1, d1-l2 ... Layer-specific data, d1-f1, d1 −F2… Data by facility

Claims (9)

In an event occurrence response system that calculates the allocation of personnel or resources to deal with the occurrence of the event from the event occurrence past data that indicates that a predetermined event has occurred in the target area including multiple areas by location. There,
For each of the preset monitoring target locations, a first extraction unit that extracts data indicating the number of occurrences of the event at the location from the event occurrence past data, and
For each of the plurality of areas, from the event occurrence historical data, data indicating the number of occurrences of the event in a location other than the location of the monitored even within the area, the event according to the area A second extraction unit that extracts data indicating the number of occurrences,
The number of occurrences of the event in each of the monitoring target locations, the position information of each of the monitoring target locations, and the above-mentioned, which are indicated by the data extracted by the first extraction unit for each of the monitoring target locations. shows a plurality of respective data extracted by the second extraction unit for the area, based on the number of occurrences of the event in accordance with each of the plurality of areas, and the position information relating to each of the plurality of areas An event occurrence response system including an allocation calculation unit that calculates the allocation of personnel or resources to deal with the occurrence of the event. The arrangement calculation unit relates to each of the plurality of areas with respect to the number of occurrences of the event related to each of the plurality of areas indicated by the data extracted by the second extraction unit for each of the plurality of areas. The event occurrence response system according to claim 1, wherein the position of the center of gravity of the place where the event occurs is calculated as the allocation of personnel or resources for coping with the occurrence of the event using the position information. The arrangement calculation unit determines the number of occurrences of the event in each of the monitoring target locations indicated by the data extracted by the first extraction unit for each of the monitoring target locations. The number of occurrences of the event related to each of the plurality of areas indicated by the data extracted by the second extraction unit for each of the plurality of areas is related to each of the plurality of areas. The event occurrence response system according to claim 1 or 2 , which calculates the position of the center of gravity of the place where the event occurs as the allocation of personnel or resources for coping with the occurrence of the event using the position information. .. For each of the monitored locations, the first extraction unit uses the event occurrence past data as data indicating the number of occurrences of the event at the location before the location under a predetermined date and time condition. Extract data showing the number of events
The arrangement calculation unit
For each of the monitored locations, the number of occurrences of the event at the location indicated by the data extracted by the first extraction unit, and the predetermined date and time conditions in the external conditions associated with the location. The first external condition reflection unit that reflects the change from the moment and calculates the predicted value of the number of occurrences of the event at the relevant place,
The allocation of the personnel or resources is calculated based on the predicted value of the number of occurrences of the event at the location calculated for each of the monitoring target locations and the position information of each of the monitoring target locations. The event occurrence response system according to any one of claims 1 to 3, further comprising a first calculation unit. For each of the plurality of areas, the second extraction unit uses the past event occurrence data as data indicating the number of occurrences of the event related to the area in the area under a predetermined date and time condition. Therefore, data indicating the number of occurrences of the event in a place other than the monitoring target place is extracted for each place where the external conditions affecting the occurrence of the event are different.
The arrangement calculation unit
For each of the plurality of areas, the number of occurrences of the event related to the area extracted for each place where the external conditions affecting the occurrence of the event are different, which is indicated by the data extracted by the second extraction unit, is the above. Reflecting the change from the time of the predetermined date and time condition in the external condition associated with each place, the predicted value of the number of occurrences of the event related to the area is the external influence on the occurrence of the event. The second external condition reflection unit that calculates for each place where the conditions are different,
The predicted value of the number of occurrences of the event related to the area calculated for each place where the external conditions affecting the occurrence of the event are different for each of the plurality of areas, and the position related to each of the plurality of areas. The event occurrence response system according to any one of claims 1 to 4 , further comprising a second calculation unit that calculates the allocation of the personnel or resources based on the information. The event occurrence response system according to any one of claims 1 to 5 , wherein the preset monitoring target location includes at least one of a hospital, a nursing home, a school, and a playground. The event occurrence response system according to claim 4 or 5 , wherein the external conditions include at least one of weather conditions, disease epidemics, and age group population distribution. From a predetermined event occurrence historical data representing a location specific to that event has occurred in the target area including the area of multiple, unit executes to calculate the staffing or resources to address upon the occurrence of the event It is a method of responding to the occurrence of an event.
For each of the preset monitoring target locations, the first extraction process of extracting data indicating the number of occurrences of the event at the location from the event occurrence past data, and
For each of the plurality of areas, from the event occurrence historical data, data indicating the number of occurrences of the event in a location other than the location of the monitored even within the area, the event according to the area The second extraction process to extract as data showing the number of occurrences,
The number of occurrences of the event in each of the monitoring target locations, the position information of each of the monitoring target locations, and the above-mentioned, which are shown by the data extracted by the first extraction process for each of the monitoring target locations. Based on the number of occurrences of the event related to each of the plurality of areas and the position information related to each of the plurality of areas, the data extracted by the second extraction process for each of the plurality of areas indicates. An event occurrence response method including an allocation calculation process for calculating the allocation of personnel or resources for coping with the occurrence of the event. A program that causes a hardware processor to function as each part of the event occurrence response system according to any one of claims 1 to 7.

Images