WO2022168416A1

WO2022168416A1 - Information processing device, information processing method, and computer-readable storage medium

Info

Publication number: WO2022168416A1
Application number: PCT/JP2021/044027
Authority: WO
Inventors: 大輔橋爪; 孝和石井; 寛道平田; 翔平大野; 博行粂野; 太朗清水; 紘牧山
Original assignee: 日本電気株式会社
Priority date: 2021-02-03
Filing date: 2021-12-01
Publication date: 2022-08-11
Also published as: JPWO2022168416A1; JP7501681B2; JP2024073485A

Abstract

One purpose of the present invention is to provide an information processing device and the like that make it possible to assist generation of an imaging plan. An information processing device according to an aspect of the present disclosure comprises: an acquisition means that acquires event data which is based on an occurred event and which includes information pertaining to the location of a ground surface related to the event; an identification means that identifies, on the basis of the event data, a target range which is a range on the ground surface to be imaged by an imaging device; and a generation means that generates an imaging plan of the imaging device so that the target range is imaged by the imaging device.

Description

Information processing device, information processing method, and computer-readable storage medium

The present disclosure relates to technology for imaging the ground surface.

In various situations, there is a need to grasp the situation of the ground surface. In such a case, the situation of the ground surface is grasped by using an image of the ground surface captured by a predetermined imaging device.

For example, Patent Literature 1 describes a method of capturing an image of the ground surface after a disaster using a satellite equipped with a radar device, and comparing the radar image data before and after the disaster to grasp the damage situation of the ground surface. is described.

In such a disaster scene, it is mainly required to understand the situation of the place where the disaster occurred. For that purpose, it is necessary to identify the place where the disaster occurred and to make an image capturing plan for capturing images of the specified place. However, Patent Literature 1 does not describe a method for identifying a location where a disaster has occurred (that is, the range of the ground surface to be imaged).

On the other hand, in Patent Document 2, by monitoring meteorological data, a location where a disaster will occur is predicted, and a satellite image is acquired from a satellite for which an imaging plan has been made so as to image the predicted location. , to grasp the situation of the predicted location.

WO2008/016153 Japanese Patent Application Laid-Open No. 2003-016153

In the technique described in Patent Document 2, when the value of the weather data being monitored exceeds the threshold, such as when the amount of precipitation exceeds a predetermined threshold, the location where the weather data exceeding the threshold was observed is A place where an abnormality has occurred is specified, and an imaging plan is generated so as to take an image of the specified place. However, in the technique described in Patent Document 2, the imaging range is determined only when it is determined that an abnormality has occurred in the weather data being monitored. Therefore, with the technique described in Patent Literature 2, there is a possibility that the scene for generating the imaging plan may be restricted.

The present disclosure has been made in view of the above problems, and aims to provide an information processing apparatus and the like capable of supporting generation of an imaging plan.

An information processing apparatus according to an aspect of the present disclosure includes acquisition means for acquiring event data, which is data based on an event that has already occurred and includes information on a ground surface position related to the event, and based on the event data, , specifying means for specifying a target range that is the range of the ground surface to be imaged by the imaging device; generating means for generating an imaging plan for the imaging device so that the imaging device captures the target range; Prepare.

An information processing method according to an aspect of the present disclosure acquires event data that is data based on an event that has already occurred and includes information on the position of a ground surface related to the event, and captures an image based on the event data. A target range, which is the range of the ground surface to be captured by the device, is specified, and an imaging plan for the imaging device is generated so that the imaging device captures the target range.

A computer-readable storage medium according to an aspect of the present disclosure is data based on an event that has already occurred and includes a process of acquiring event data including information on a position on a ground surface related to the event, and a process of acquiring the event data. Based on, a process of specifying a target range that is a range of the ground surface to be imaged by an imaging device, a process of generating an imaging plan of the imaging device so that the imaging device captures the target range, stores a program that causes a computer to run

According to the present disclosure, it is possible to support generation of an imaging plan.

1 is a diagram schematically showing an example of a configuration of an imaging support system including an information processing device according to a first embodiment of the present disclosure; FIG. It is a block diagram showing an example of functional composition of an imaging support system of a 1st embodiment of this indication. 4 is a flowchart describing an example of the operation of the information processing device according to the first embodiment of the present disclosure; 7 is a flowchart illustrating another example of the operation of the information processing device according to the first embodiment of the present disclosure; FIG. 11 is a block diagram including an example of a functional configuration of an imaging support system according to the second embodiment of the present disclosure; FIG. FIG. 10 is a diagram showing an example of an image output by the imaging support system according to the second embodiment of the present disclosure; FIG. FIG. 10 is a flowchart illustrating an example of the operation of the information processing device according to the second embodiment of the present disclosure; FIG. FIG. 11 is a flow chart describing another example of the operation of the information processing device according to the second embodiment of the present disclosure; FIG. FIG. 11 is a block diagram including an example of a functional configuration of an imaging support system according to a third embodiment of the present disclosure; FIG. FIG. 11 is a flow chart describing an example of the operation of the information processing device according to the third embodiment of the present disclosure; FIG. FIG. 13 is a flowchart illustrating another example of the operation of the information processing device according to the third embodiment of the present disclosure; FIG. FIG. 12 is a block diagram including an example of a functional configuration of an imaging support system according to a fourth embodiment of the present disclosure; FIG. FIG. 14 is a flowchart illustrating an example of the operation of the information processing device according to the fourth embodiment of the present disclosure; FIG. FIG. 16 is a flowchart illustrating another example of the operation of the information processing device according to the fourth embodiment of the present disclosure; FIG. FIG. 12 is a block diagram including an example of a functional configuration of an information processing device according to a fifth embodiment of the present disclosure; FIG. FIG. 12 is a flowchart illustrating an example of the operation of the information processing device according to the fifth embodiment of the present disclosure; FIG. It is a block diagram showing an example of hardware constitutions of a computer device which realizes an information processor of the 1st, 2nd, 3rd, 4th, and 5th embodiments of this indication.

Embodiments of the present disclosure will be described below with reference to the drawings.

<First Embodiment>
An imaging support system including the information processing apparatus of the first embodiment will be described.

FIG. 1 is a diagram schematically showing an example of the configuration of an imaging support system 1000 including the information processing device 100 of the first embodiment. As shown in FIG. 1 , the imaging support system 1000 includes an information processing device 100 , an imaging device 200 and a storage device 300 . The imaging support system 1000 may be configured to further include a terminal device 400, or may be configured to include the information processing device 100 and the imaging device 200 and communicate with the storage device 300 and the terminal device 400. . The information processing apparatus 100 is communicably connected to, for example, an imaging device 200, a storage device 300, and a terminal device 400 via a network. Note that the storage device 300 may be installed in the information processing device 100 .

The information processing device 100 generates an imaging plan, which will be described later, in response to a request from the terminal device 400 . The imaging device 200 images the ground surface according to the imaging plan, and stores data based on the imaging result in the storage device 300 . Thus, the imaging support system 1000 is a system that generates an imaging plan indicating a plan for the imaging device 200 to image the ground surface.

Next, using FIG. 2, the details of the imaging support system 1000 will be described. FIG. 2 is a block diagram showing an example of the functional configuration of the imaging support system 1000 of the first embodiment.

[Details of imaging device 200]
The imaging device 200 is a device having a function of imaging the ground surface. A plurality of imaging devices 200 may exist. The imaging device 200 is, for example, an artificial satellite. In this case, the imaging device 200 is imaging the ground surface while moving on an orbit in the sky. The imaging device 200 captures an image of the ground surface from the sky using, for example, a synthetic aperture radar (SAR) mounted on the imaging device 200 . The imaging device 200 generates imaging data, which is an image based on the result of imaging the ground surface. Specifically, the imaging device 200 uses a synthetic aperture radar to irradiate the ground surface with electromagnetic waves from the sky, and acquires electromagnetic waves (reflected waves) reflected from the ground surface in the direction of the synthetic aperture radar. The imaging data includes data related to reflected waves acquired by the imaging device 200 . The data regarding the reflected wave is, for example, data such as the intensity, phase, and polarization of the reflected wave. By using the synthetic aperture radar, the imaging device 200 can generate imaging data of the ground surface even when the weather is bad. Note that the imaging device 200 is not limited to the synthetic aperture radar, and may capture an image of the ground surface from the sky using various sensors capable of imaging, such as an optical sensor, or a radar. In this case, the imaging data is an image based on the result of imaging the ground surface by various sensors or radar.

Here, the range of the ground surface imaged by the imaging device 200 is also referred to as an imaging range. That is, the imaging data is an image based on the result of imaging the imaging range. The imaging device 200 stores imaging data in the storage device 300 . Specifically, the imaging device 200 stores the imaging data in the imaging data storage unit 310 . At this time, the imaging device 200 may associate the imaging data, the data indicating the imaging range, and the data indicating the imaging time point, and store them in the imaging data storage unit 310 . The data indicating the imaging range may be latitude and longitude information, or other information that can specify the position on the ground surface. The data indicating the time when the image was captured may be information including the date when the image was captured, or may be information including the time when the image was captured.

In this specification, the "ground surface" includes land and sea. Further, the term "ground surface" includes objects on the surface of land or at sea. Objects that exist on the surface of land or on the sea are, for example, buildings, roads, rivers, forests and sea ice. Also, in this specification, an example in which the imaging device 200 generates imaging data (image) will be described, but the imaging device 200 does not have to generate imaging data. For example, a ground station device (not shown) may acquire information acquired by various sensors or radar from the imaging device 200, and the ground station device may generate imaging data by imaging the information. In this case, the ground station apparatus stores the imaging data in the imaging data storage section 310 .

The imaging device 200 images the ground surface according to the imaging plan. The imaging plan is information that enables the imaging device 200 to specify when and where to image. The imaging plan includes, for example, the trajectory along which the imaging device 200 moves, the imaging time, and the imaging directions of various sensors or radars used for imaging. The imaging time may include information indicating the time from the start to the end of imaging, in addition to information indicating the time point of imaging. The imaging directions of various sensors or radars include the angles of light receivers of various sensors or the angles of antennas of various radars. Note that the imaging plan is not limited to this example as long as it is in a format that allows specifying when and where the imaging device 200 images.

[Details of storage device 300]
As shown in FIG. 2 , the storage device 300 includes an imaging data storage unit 310 , an event data storage unit 320 and an imaging plan storage unit 330 .

The imaging data storage unit 310 stores imaging data based on the result of imaging the ground surface by the imaging device 200 . The imaging data is transmitted from the imaging device 200 to the storage device 300 . The imaging data storage unit 310 may include imaging data generated before the information processing apparatus 100 generates the imaging plan. As described above, if there is a ground station device (not shown), the imaging data is transmitted from the ground station device to the storage device 300 .

The event data storage unit 320 stores event data. Event data is data based on an event that occurred in the past and includes information on the position of the ground surface related to the event. For example, event data may be data (referred to as disaster data) relating to places damaged by landslides, floods, and ground movements caused by disasters such as earthquakes, typhoons, and tsunamis that occurred in the past. Alternatively, it may be a hazard map showing the extent of damage when a disaster occurs, which is predicted from information on past disasters. The event data may also be data in which rainfall or snowfall that occurred in the past is associated with information on the location where the rainfall or snowfall was observed. Further, the event data may be data indicating the number of persons who have had a predetermined disease in the past within a plurality of predetermined ranges. The event data may also be data indicating the state of sea ice observed in the past. Further, the event data may be data indicating a route traveled in the past by a moving object such as an automobile, an airplane, or a ship. Note that event data is not limited to this example. The event data may differ depending on the scene in which the imaging support system 1000 is used.

Here, "an event that occurred in the past" refers to an event that occurred before a predetermined point in time. In this specification, as an example, "an event that occurred in the past" will be described as an "event that occurred before the information processing apparatus 100 received an imaging plan generation request from the terminal apparatus 400", which will be described later. In this specification, "occurred in the past" may be expressed as "occurred".

The imaging plan storage unit 330 stores the imaging plan generated by the information processing device 100 . Further, the imaging plan storage unit 330 stores in advance device information, which is information about the imaging device 200 . The device information includes, for example, information on specifications of the imaging device 200 and specifications of the sensor or radar mounted on the imaging device 200 . Furthermore, when the imaging device 200 is an artificial satellite, the device information includes, for example, information on the trajectory along which the imaging device 200 can move. The device information includes at least information necessary to generate an imaging plan. Note that when a plurality of imaging devices 200 exist, the imaging plan storage unit 330 stores an imaging plan for each of the imaging devices 200 and device information about each of the imaging devices 200 .

[Details of Terminal Device 400]
The terminal device 400 is a device having predetermined input/output means. For example, the terminal device 400 may be a personal computer or a portable terminal such as a smart phone or a tablet terminal.

The terminal device 400 acquires various types of information via the network and outputs the acquired information. For example, the terminal device 400 acquires information indicating an imaging plan generated by the information processing device 100 and imaging data generated by the imaging device 200, and outputs the acquired information to a display provided in the terminal device 400. good too. Further, the terminal device 400 may transmit various types of information to the information processing device 100 based on user input. For example, the terminal device 400 may transmit a request to generate an imaging plan to the information processing device 100 based on information input by the user.

Although the terminal device 400 is not connected to the storage device 300 in FIGS. 1 and 2, the terminal device 400 may be configured to be communicably connected to the storage device 300 as well.

[Details of information processing device 100]
As shown in FIG. 2 , the information processing apparatus 100 includes a reception unit 110 , an acquisition unit 120 , a specification unit 130 , a generation unit 140 , an imaging control unit 150 and an output control unit 160 .

The reception unit 110 receives an imaging plan generation request from the terminal device 400 . Hereinafter, the “imaging plan generation request” is also simply referred to as the “generation request”. The generation request is notified to the terminal device 400 by the user performing a predetermined input, for example. The generation request includes information specifying a predetermined range on the ground surface (hereinafter referred to as range specifying information). The range designation information may be, for example, latitude and longitude information, or information indicating a specific region such as "Arctic Ocean", "Japan" or "Kanagawa Prefecture".

Also, the reception unit 110 may receive various requests from the terminal device 400 . For example, the receiving unit 110 may receive a request for outputting imaging data. In this case, the output request includes, for example, information indicating the range of the ground surface and information indicating the time.

The acquisition unit 120 acquires event data from the storage device 300 . At this time, the acquiring unit 120 acquires the event data related to the range specified by the range specifying information included in the generation request, which corresponds to the scene in which the imaging support system 1000 is used. For example, the generation request includes range designation information indicating "Kanagawa Prefecture", and the user of the imaging support system 1000 intends to capture an image of the range where damage is expected to occur when an earthquake occurs. . In this case, the acquiring unit 120 acquires data on damage caused by past earthquakes in "Kanagawa Prefecture", a hazard map when an earthquake occurs in "Kanagawa Prefecture", and the like. The setting of such a scene (that is, purpose of use) in which the imaging support system 1000 is used is set in advance by the user. Note that the method of setting the purpose is not limited to this example. For example, the creation request may include information indicating the purpose of the creation by the user performing a predetermined input. In this case, the acquisition unit 120 acquires the event data based on the information indicating the purpose and the range specification information included in the generation request. The acquisition unit 120 may acquire a plurality of event data.

In this way, the acquisition unit 120 acquires event data that is data based on an event that has already occurred and that includes information on the location of the ground surface related to the event. Acquisition unit 120 is an example of acquisition means.

Also, the acquisition unit 120 may acquire imaging data from the storage device 300 . For example, when imaging data obtained by imaging a target range is stored in the imaging data storage unit 310, the acquiring unit 120 acquires the imaging data. At this time, when the acquisition unit 120 detects that the imaging data obtained by imaging the target range is stored in the storage device 300, the imaging data may be acquired, or the imaging data may be stored. The acquisition unit 120 may acquire the imaging data by the storage device 300 sending a notification to the information processing device 100 indicating that the imaging data has been acquired. Further, when the accepting unit 110 accepts an output request for imaged data, the acquiring unit 120 may acquire imaged data in response to the output request. For example, the acquisition unit 120 acquires imaged data in which the range of the ground surface indicated in the output request is imaged and which is imaged around the time indicated in the output request.

The specifying unit 130 specifies the range of the ground surface to be imaged based on the event data. In this specification, the range of the ground surface to be imaged is referred to as "target range". For example, assume that the event data acquired by the acquisition unit 120 is a hazard map when an earthquake occurs. In this case, the specifying unit 130 extracts, for example, from the hazard map, a range in which ground change will be greater than or equal to a predetermined scale when an earthquake occurs. The specifying unit 130 then specifies the extracted range as the target range. In this way, the identifying unit 130 identifies, from the event data, a range in which the terrain is estimated to change on a scale greater than or equal to a predetermined scale, for example. Note that the above-described method of specifying the target range from the event data is just an example, and the method is not limited to this example. The specifying unit 130 can extract a predetermined range using various information included in the event data and specify it as the target range. Note that the specifying unit 130 may specify a plurality of target ranges.

Furthermore, the identifying unit 130 may identify the target range based on a plurality of event data. At this time, the specifying unit 130 may, for example, extract a range in which the terrain is estimated to change on a predetermined scale or more for each event data, and specify a range where a plurality of extracted ranges overlap as the target range. Further, the specifying unit 130 calculates a score corresponding to the scale of change in terrain for each range of the ground surface divided in advance based on a plurality of event data, and targets the range where the score is equal to or greater than a predetermined value. It may be specified as a range. Note that the example of specifying the target range is not limited to this example.

In this way, the specifying unit 130 specifies the target range, which is the range of the ground surface to be captured by the imaging device 200, based on the event data. The identifying unit 130 is an example of identifying means.

The generation unit 140 generates an imaging plan. Specifically, the generating unit 140 generates an imaging plan so that the imaging device 200 images the target range specified by the specifying unit 130 . For example, the generation unit 140 acquires device information regarding the imaging device 200 from the imaging plan storage unit 330 . Then, using the device information, the generating unit 140 generates, as an imaging plan, a trajectory in which the imaging device 200 can capture an image of the target range, an imaging direction, and an imaging time. At this time, the generation unit 140 may generate an imaging plan that allows the imaging device 200 to capture an image of the target range as soon as the reception unit 110 receives the generation request. In addition, the generation unit 140 may generate an imaging plan so that the imaging device 200 images the target range periodically instead of just once. The generation unit 140 stores the generated imaging plan in the imaging plan storage unit 330 .

In this way, the generating unit 140 generates an imaging plan for the imaging device 200 so that the imaging device 200 captures the target range. The generation unit 140 is an example of generation means.

The imaging control unit 150 controls the imaging device 200 . For example, when an imaging plan is generated by the generation unit 140, the imaging control unit 150 controls the imaging device 200 to perform imaging according to the generated imaging plan. Various known methods may be used to control the imaging device 200 .

The output control unit 160 outputs various information to the terminal device 400 . For example, when the reception unit 110 receives a generation request, the output control unit 160 outputs information indicating the generated imaging plan to the terminal device 400 . At this time, the output control unit 160 may output information indicating the event data used to generate the imaging plan in addition to the information indicating the imaging plan. Further, the output control section 160 may output the imaging data to the terminal device 400 when the imaging data is generated.

[Operation of information processing apparatus 100]
Next, an example of the operation of the information processing apparatus 100 will be described with reference to FIGS. 3 and 4. FIG. In addition, in this disclosure, each step of the flowchart is expressed using a number attached to each step, such as “S101”.

FIG. 3 is a flowchart explaining an example of the operation of the information processing device 100. FIG. Specifically, FIG. 3 is a diagram illustrating an example of the operation when the information processing apparatus 100 receives a generation request. The receiving unit 110 receives a request for generating an imaging plan from the terminal device 400 (S101). Next, the acquisition unit 120 acquires event data (S102). For example, the acquisition unit 120 acquires event data in response to a generation request and preset purpose information. The identifying unit 130 identifies the target range based on the acquired event data (S103). The generation unit 140 generates an imaging plan so that the imaging device 200 images the target range based on the information indicating the specified target range and the device information (S104). At this time, the generation unit 140 stores the generated imaging plan in the imaging plan storage unit 330 . Then, the imaging control unit 150 controls the imaging device 200 so as to perform imaging according to the generated imaging plan (S105). The output control unit 160 outputs information indicating the generated imaging plan to the terminal device 400 (S106).

In the operation example shown in FIG. 3, the output control unit 160 outputs the information indicating the imaging plan to the terminal device 400, but the information indicating the imaging plan does not necessarily have to be output. Moreover, the process of S106 may be performed before the process of S105, and may be performed simultaneously with the process of S105.

FIG. 4 is a flowchart explaining another example of the operation of the information processing device 100. FIG. Specifically, FIG. 4 is a diagram illustrating an example of the operation of the information processing apparatus 100 when imaging data is generated by the imaging apparatus 200. As shown in FIG. When the imaging data obtained by imaging the target range is stored in the imaging data storage unit 310 (Yes in S201), the obtaining unit 120 obtains the imaging data obtained by imaging the target range (S202). The output control unit 160 outputs the imaging data acquired by the acquisition unit 120 to the terminal device 400 .

As described above, the information processing apparatus 100 of the first embodiment acquires event data that is data based on an event that has already occurred and that includes information on the position of the ground surface related to the event. Then, based on the event data, the information processing apparatus 100 specifies a target range, which is a range of the ground surface to be captured by the imaging device, and performs an imaging plan for the imaging device so that the imaging device captures the target range. to generate As described above, the information processing apparatus 100 uses the event data as described above to specify the target range. It can be performed. Therefore, for example, the information processing apparatus 100 can generate an imaging plan for imaging a range in which an abnormality is estimated to occur even before an abnormality that occurs on the ground surface becomes apparent. In this case, the scene for generating the imaging plan is not restricted, for example, compared to the case where the imaging plan is generated when an abnormality occurs in the data being monitored. As described above, the information processing apparatus 100 according to the first embodiment can support generation of an imaging plan.

[Modification 1]
Although an example in which the imaging device 200 is an artificial satellite has been described, the imaging device 200 is not limited to this example. For example, imaging device 200 may be a manned or unmanned aircraft. Manned aircraft include, for example, airplanes, helicopters, airships, and the like. Unmanned aerial vehicles are sometimes referred to as UAVs (Unmanned Aerial Vehicles), small unmanned aerial vehicles, or drones. When no distinction is made between manned and unmanned aircraft, we simply refer to them as aircraft.

When the imaging device 200 is an aircraft, for example, the imaging device 200 flies according to a user's instruction and captures an image of the ground surface while flying. Also, the imaging plan is generated as information indicating when, where, and in what range.

[Modification 2]
Although an example in which the information processing device 100 controls the imaging device 200 has been described, a control device (not shown) different from the information processing device 100 may control the imaging device 200 . In this case, the control device controls the imaging device based on the imaging plan generated by the information processing device 100 . The control device may be configured integrally with the ground station device (not shown), or may be a device different from the ground station device.

<Second embodiment>
Next, an imaging support system according to the second embodiment will be described. In the second embodiment, a detailed description will be given of an imaging support system for generating an imaging plan when a disaster occurs.

FIG. 5 is a block diagram showing an example of the functional configuration of the imaging support system 1001 of the second embodiment. As shown in FIG. 5, the imaging support system 1001 includes an information processing device 101 and a storage device 301 instead of the information processing device 100 and the storage device 300 in the first embodiment. It is the same as the imaging support system 1000 described in the form. That is, the imaging support system 1001 includes an information processing device 101 , an imaging device 200 and a storage device 301 . In addition, in the second embodiment, a part of the description of the content that overlaps with the content described in the first embodiment will be omitted.

[Details of storage device 301]
The storage device 301 includes a geospatial information storage unit 321 instead of the event data storage unit 320 in the first embodiment.

The geospatial information storage unit 321 stores geospatial information. Geospatial information consists of location data indicating the location of the ground surface, data relating to the topography of the location, data relating to objects existing at the location, data relating to events occurring at the location, and image data indicating the location. associated information. The topographical data includes, for example, a topographic map, information indicating geology, information indicating the ground, and the like. The data about the object includes, for example, building information including building type and location information, road maps, and the like. The event data includes, for example, information on past disasters and accidents, hazard maps, and the like. Image data indicating positions includes, for example, aerial photographs and satellite images. Geospatial information may include data obtained by measurement or survey, and information representing the results of analysis based on the data. Geospatial information may also include information that is artificially determined based on data obtained by measurement or survey. Geospatial information also includes disaster data, weather data, and the like. Furthermore, geospatial information may include information published on the Internet. That is, the geospatial information also includes the event data described above.

Geospatial information is used, for example, in a system called a Geographic Information System (GIS). The GIS, for example, superimposes the various types of data described above corresponding to the positions on the map on the map and outputs the superimposed data. Geospatial information is sometimes called GIS data. Note that the geospatial information is not limited to data dedicated to GIS, and may be used in systems other than GIS.

[Details of information processing device 101]
As shown in FIG. 5, the information processing apparatus 101 includes a reception unit 110, an acquisition unit 121, an identification unit 131, a generation unit 140, an imaging control unit 150, an output control unit 161, and a change information generation unit 170. , and a route calculation unit 180 .

The acquisition unit 121 acquires event data from the geospatial information storage unit 321. For example, the acquisition unit 121 acquires disaster data and hazard maps in the range specified by the generation request as event data.

Also, the acquisition unit 121 acquires immediate data. Immediate data refers to data that is updated as needed even after reception unit 110 receives a generation request from terminal device 400 . For example, the acquisition unit 121 acquires the posted information regarding the range specified by the generation request as immediate data. Posted information is information posted to an SNS by a user of the SNS (Social Networking Service). Posted information includes text information and images. Further, position information of the SNS user may be added to the posted information. Acquisition unit 121 acquires posted information from an SNS server (not shown). In this case, the imaging support system 1001 and the SNS server are communicably connected via a network. Acquisition unit 121 acquires posted information related to the range specified by the generation request and including content related to the disaster situation. For example, the acquisition unit 120 acquires posted information including character information such as “disaster”, “earthquake”, “destruction”, and “flood”. At this time, the acquiring unit 121 acquires the posted information to which the position information within the range designated by the generation request is added, or the posted information including character information indicating the position within the designated range. For example, from the posted information, it is possible to estimate a location (that is, target range) where damage has occurred in the specified range.

Also, the acquisition unit 121 may acquire the location information of mobile terminals such as mobile phones and smart phones as immediate data. In this case, the mobile terminal is provided with a function capable of specifying its own location information by GNSS (Global Navigation Satellite System) such as GPS (Global Positioning System). For example, the acquisition unit 121 acquires the location information of the mobile terminals within the range specified by the generation request as immediate data. For example, when a disaster occurs, there is a high possibility that people in the vicinity of the disaster site will move in a certain direction to evacuate. Therefore, for example, it is possible to estimate the location of the disaster (that is, the target range) from changes in the location information of the mobile terminal within a predetermined period of time. The acquisition unit 121 acquires the location information of the mobile terminal from, for example, a management server managed by a telecommunications carrier or the like. In this case, the imaging support system 1001 and the management server are communicably connected via a network.

Also, the acquisition unit 121 may acquire the information of the safety confirmation system as immediate data. A safety confirmation system is a system that can confirm the safety status of registered persons when a disaster occurs. For example, the information of the safety confirmation system includes information indicating the location of the registered person. For example, if there are a predetermined number of people in a specific shelter, it can be estimated that a disaster has occurred near the specific shelter. The acquisition unit 121 can acquire information of the safety confirmation system from the operation server of the safety confirmation system via the network. In this case, the imaging support system 1001 and the SNS server are communicably connected via a network.

In addition, the acquisition unit 121 may acquire weather data as immediate data. Meteorological data includes, for example, rainfall amount, snowfall amount, location information of rain clouds, strength of typhoon, location information of typhoon, and the like. Acquisition unit 121 acquires weather data via a network from a weather server that handles weather data. In this case, the imaging support system 1001 and the weather server are communicably connected via a network.

Furthermore, the acquisition unit 121 may acquire shelter information indicating the status of shelter establishment. The shelter information includes at least information on places where shelters are established. The shelter information may include information about a plurality of shelters, and for each shelter, the location of the shelter, whether or not it is open, the number of people in the shelter, and the supplies in the shelter. They may be information associated with each other. Acquisition unit 121 may acquire shelter information from a safety confirmation system, or from information transmitted by a local government via the Internet. In addition, the acquisition unit 121 may acquire shelter information from information reported by television and radio.

The specifying unit 131 specifies the target range based on the event data and the immediate data acquired by the acquiring unit 121 . For example, the identifying unit 131 may extract a range in which a disaster is estimated to occur for each event data and immediate data, and identify a range where a plurality of extracted ranges overlap as a target range. Further, the identifying unit 130 calculates a score indicating the possibility of a disaster occurring for each range of the ground surface divided in advance based on the event data and the immediate data, and determines whether the score is equal to or greater than a predetermined value. A range may be specified as a target range. Note that the example of specifying the target range is not limited to this example.

The change information generation unit 170 generates change information. The change information is information indicating changes in the ground surface that occur over time. For example, the change information includes height displacement information indicating the displacement of the height of the ground surface, water area information indicating the water area generated on the ground surface, and the like. Such change information is generated by detecting various changes from imaging data obtained by SAR. For example, the height displacement information is generated based on the phase difference and intensity difference of reflected waves included in the imaging data when a predetermined imaging range is imaged by the imaging device 200 at different times. For example, it is possible to calculate the difference in distance between the ground surface and the radar according to the phase difference by interfering the acquired reflected waves with respect to the same imaging range and calculating the phase difference. Height displacement information is generated by using the calculated distance difference. This technique is also called interferometric SAR. Note that the method of generating height displacement information is not limited to this example. Also, the water area information is generated using, for example, the properties of electromagnetic waves. For example, electromagnetic waves emitted by radar are less likely to be reflected in the direction of the radar on the water surface. Therefore, there is a high possibility that a place where it is difficult to acquire reflected waves is a water area. Using such properties of electromagnetic waves, water area information is generated from imaging data. At this time, the water area information may be generated, for example, by comparing a plurality of image data, or may be generated by comparing the image data and a map corresponding to the imaging range. Note that the method of generating water area information is not limited to this example.

When the change information generation unit 170 generates change information using a plurality of image data, the image data captured by each of the plurality of imaging devices 200 may be used. For example, assume that imaging device 200 is a satellite in a satellite constellation. At this time, the change information generation unit 170 may generate change information using imaging data captured by each of the satellites in the satellite constellation.

The route calculation unit 180 calculates a predetermined route. For example, assume that the reception unit 110 receives a request for outputting a route to an evacuation center from the terminal device 400 . The route output request includes, for example, information indicating a predetermined starting point. Then, the route calculation unit 180 calculates a route connecting a predetermined starting point and the evacuation center based on the evacuation center information and the road map included in the geospatial information. At this time, the route calculation unit 180 may calculate the route using the change information. Specifically, for example, if the route connecting the starting point and the evacuation shelter has a location where the value indicated by the height displacement information is equal to or greater than a predetermined value, the route calculation unit 180 calculates a route that bypasses the location. Calculate Further, for example, if the route connecting the starting point and the evacuation shelter includes a water area, the route calculation unit 180 calculates a route that bypasses the water area. There may be roads that are impassable due to landslides, floods, or the like. For such roads, there is a high possibility that the change information indicates a change. Therefore, by calculating the route based on the change information, the route calculation unit 180 can calculate a route that bypasses roads that may be impassable. Further, when there are multiple shelters, the route calculation unit 180 may calculate routes from the starting point to each shelter. Also, the route calculation unit 180 can calculate a route from an arbitrary departure point to an arbitrary arrival point.

Also, in the above example, the route calculation unit 180 calculates the route from the starting point to the evacuation center, but it is not limited to this example. For example, the route calculation unit 180 may calculate a passable route around a specific building such as an evacuation center simply based on the change information, regardless of the starting point.

In this way, the route calculation unit 180 converts the change information, which is information generated according to the imaging data based on the results of imaging by the imaging device, into information indicating changes in the ground surface that occur over time. Based on this, a route is calculated that does not include locations where changes in the ground surface exceed a certain standard. The route calculator 180 is an example of a route calculator.

The output control unit 161 may output the various types of information described above (eg, geospatial information, shelter information, change information, route information, etc.) to the terminal device 400 . The output control unit 161 may output the information to be output to the terminal device 400 in character information or in a table format. Further, the output control unit 161 may output to the terminal device 400 a superimposed image in which various information is superimposed on a map including the range indicated in the output request. For example, the output control unit 161 may output to the terminal device 400 a superimposed image obtained by superimposing change information or route information on a map. FIG. 6 is a diagram showing an example of an image output by the output control section 161. As shown in FIG. In FIG. 6, an icon indicating a shelter is superimposed on the position of the shelter on the map, and the location where the water area is generated is indicated by hatching. Furthermore, in FIG. 6, arrows also indicate a route from the starting point to an evacuation shelter that does not pass through a water area. If there are multiple shelters, the output control unit 161 may output multiple shelter icons and multiple routes. Also, the output control unit 161 may output a passable route regardless of the starting point. At this time, the output control unit 161 may further blink or color the icon of the shelter closest to the starting point or the image showing the route to the shelter.

In addition, when the user selects an evacuation center by clicking an icon of the evacuation center, the output control unit 161 outputs details of the selected evacuation center to the superimposed image output to the terminal device 400. good too. The details of the evacuation center may be the opening status of the evacuation center or the distance from the starting point. In this case, for example, the user selects an evacuation center through the terminal device 400, and the reception unit 110 receives that the evacuation center has been selected by the user. Then, when the receiving unit 110 receives that a building has been selected, the output control unit 161 outputs details of the selected shelter to the terminal device 400 .

[Operation of information processing apparatus 101]
Next, an example of the operation of the information processing apparatus 101 will be described with reference to FIGS. 7 and 8. FIG.

FIG. 7 is a flowchart explaining an example of the operation of the information processing device 101. FIG. Specifically, FIG. 7 is a diagram illustrating an example of the operation when the information processing apparatus 101 receives a generation request when a disaster occurs. The reception unit 110 receives an imaging plan generation request from the terminal device 400 (S301). The acquisition unit 121 acquires event data and immediate data relating to the range specified by the generation request (S302). Event data is, for example, disaster data and hazard maps relating to past disasters. The instant data may be, for example, at least one of posted information, mobile terminal location information, evacuees information registered in the safety confirmation system, and weather data. Then, the specifying unit 131 specifies the target range (S303). Specifically, the identifying unit 131 estimates the location of the disaster based on the event data and the immediate data, and identifies the estimated location of the disaster as the target range. The processing of S304 to S306 is the same as the processing of S104 to S106 in FIG.

FIG. 8 is a flowchart explaining another example of the operation of the information processing device 101. FIG. Specifically, FIG. 8 is a diagram illustrating an example of the operation of the information processing apparatus 101 after imaging data is generated by the imaging apparatus 200 .

The reception unit 110 receives a route output request (S401). Here, it is assumed that the receiving unit 110 receives a request for outputting a route from a predetermined starting point to an evacuation center. That is, the output request includes information on the starting point. The acquisition unit 121 acquires imaging data in which the target range is imaged (S402). The change information generation unit 170 generates change information in the imaging range based on the imaging data (S403). The route calculator 180 calculates a route from the starting point to the evacuation center (S404). The output control unit 161 outputs information indicating the calculated route to the terminal device 400 (S405). For example, the output control unit 161 outputs to the terminal device 400 an image in which a route from the starting point to the evacuation shelter is superimposed on a map and does not include places where changes in the ground surface exceed a certain standard. Output.

In this way, the information processing apparatus 101 of the second embodiment acquires event data that is data based on an event that has already occurred and that includes information on the position of the ground surface related to the event. Then, based on the event data, the information processing apparatus 101 identifies a target range, which is a range of the ground surface to be captured by the imaging device, and performs an imaging plan for the imaging device so that the imaging device captures an image of the target range. to generate Thereby, the information processing apparatus 101 of the second embodiment has the same effects as the information processing apparatus 100 of the first embodiment. In other words, the information processing apparatus 101 according to the second embodiment can support generation of an imaging plan.

In addition, the information processing apparatus 101 of the second embodiment acquires at least one of data relating to locations damaged by past disasters and hazard maps as event data, and further acquires information posted to SNS. and obtains immediate data including at least one of posted information including content related to disaster situations, location information of mobile terminals, and information on evacuees registered in the safety confirmation system. Then, the information processing apparatus 101 estimates a disaster occurrence location based on the event data and the immediate data, and specifies the estimated disaster occurrence location as a target range. As described above, the information processing apparatus 101 of the second embodiment specifies the target range using the immediate data in addition to the event data, so that the target range can be specified more accurately. That is, the information processing apparatus 101 can support generation of an appropriate imaging plan.

Further, the information processing apparatus 101 of the second embodiment is information generated according to image data based on the result of image capturing by the image capturing apparatus, and is information indicating changes in the ground surface that occur over time. Based on certain change information, a route is calculated that does not include locations where changes in the ground surface exceed a certain standard. For example, a road may become impassable due to a sediment disaster or the like. In the event of a disaster, it is difficult to quickly determine which road has been damaged. In contrast, the information processing apparatus 101 of the second embodiment can quickly provide a passable route on the ground surface.

[Modification 3]
The method of acquiring immediate data is not limited to the above examples. The acquisition unit 121 may acquire immediate data based on information on the range estimated from the event data. For example, assume that the acquisition unit 121 acquires event data related to the range specified in the generation request. At this time, the identifying unit 131 estimates the extent of the disaster with a granularity that can be estimated based on the acquired event data. Then, the acquiring unit 121 acquires immediate data in the estimated range where the disaster occurred.

That is, the information processing apparatus 101 of Modification 3 narrows down the range where a disaster may occur from the range specified in the generation request based on the event data. Then, the information processing apparatus 101 acquires immediate data in the narrowed range. As a result, the information processing apparatus 101 of Modification 3 can acquire immediate data that is more useful when identifying the location of the disaster.

<Third Embodiment>
Next, an information processing apparatus according to the third embodiment will be described.

In seas where there is a frozen area (sea ice), such as the Arctic Ocean, whether or not ships can pass depends on the state of the sea ice. In the third embodiment, an imaging support system for generating an imaging plan for grasping the state of sea ice on the ground surface will be described in detail.

FIG. 9 is a block diagram showing an example of the configuration of the imaging support system 1002 of the third embodiment. As shown in FIG. 9, an imaging support system 1002 includes an information processing device 102 and a storage device 302 instead of the information processing device 101 and storage device 301 in the second embodiment. It is the same as the imaging support system 1001 described in the form. That is, the imaging support system 1002 includes an information processing device 102 , an imaging device 200 and a storage device 302 . In addition, in the third embodiment, a part of the description of the content that overlaps with the content described in the first and second embodiments will be omitted.

[Details of storage device 302]
The geospatial information storage unit 322 stores the geospatial information described above. In addition, geospatial information includes vessel route data and sea ice data. The route data is data that indicates at least the places that ships have passed through in the past. The route data may further be information in which places and times that ships have passed in the past are associated with each other. The route data may be, for example, data generated based on an AIS (Automatic Identification System) mounted on a ship. Sea ice data is data that indicates changes in past sea ice. The sea ice data may be, for example, data indicating the state of sea ice observed by a known method in the past.

[Details of information processing device 102]
As shown in FIG. 9, the information processing apparatus 102 includes a reception unit 110, an acquisition unit 122, a specification unit 132, a generation unit 140, an imaging control unit 150, an output control unit 162, and a freezing identification information generation unit. 171 and a route calculation unit 181 .

For example, the acquisition unit 122 acquires at least one of the route data and sea ice data in the range specified by the generation request as event data.

The identifying unit 132 identifies the target range based on the event data acquired by the acquiring unit 122 . For example, the identifying unit 132 estimates a location where the ship can pass from the route data. At this time, the identification unit 132 extracts locations that the ship has passed through in the past using the route data, and estimates locations where the number of times the ship has traveled is greater than or equal to a certain value as locations through which the vessel can pass. good too. Further, for example, the identifying unit 132 may estimate a place where a ship can pass from past sea ice conditions in the sea ice data. Further, the identifying unit 132 may combine ship data and sea ice data to estimate a place through which a ship can pass. The identifying unit 132 identifies the estimated location through which the ship can pass as the target range. Then, the generation unit 140 generates an imaging plan for imaging the target range. In this way, the information processing apparatus 102 can also identify in advance a location that is estimated to be passable by a ship, and generate an imaging plan.

　The method of specifying the target range is not limited to the above example. For example, the identification unit 132 may identify the target range using data other than the route data and the sea ice data. For example, the specifying unit 132 may specify the target range further using weather data predicted in the range specified by the generation request. Here, the weather data includes temperature information, for example. For example, the identification unit 132 may estimate a place where the number of times a ship has passed in the past is equal to or greater than a certain value and where the air temperature is equal to or higher than a predetermined temperature as a place through which a ship can pass. .

The freezing identification information generation unit 171 generates freezing identification information based on the imaging data. The ice identification information is information for identifying a frozen range and a non-frozen range on the sea. Such freezing identification information can be generated from imaging data by SAR. For example, an electromagnetic wave irradiated by a radar is characterized in that the water surface and the ice surface reflect differently in the direction of the radar. It also has the characteristic that the way the polarized waves are reflected differs depending on the surface characteristics of the water surface and the ice surface. Using such properties of electromagnetic waves, it is possible to estimate the frozen range from imaging data.

The ice identification information may also include sea ice thickness information. The thickness of sea ice is calculated based on imaging data captured by SAR. For example, the ice identification information generation unit 171 calculates the phase difference of the reflected wave in each piece of image data using the image data obtained by capturing the same image area at a plurality of times, thereby determining the thickness of the sea ice. calculate.

The route calculation unit 181 calculates routes through which ships can pass based on the ice identification information. For example, the route calculation unit 181 calculates a non-frozen range as a navigable route. Further, the route calculation unit 181 may calculate the range where the thickness of the sea ice is less than a predetermined threshold value as the route through which the ship can pass, in addition to the non-frozen range.
The output control unit 162 may output various types of information to the terminal device 400 in any format, like the output control unit 161 of the second embodiment. Specifically, a superimposed image in which at least one of the freezing identification information and the calculated route is superimposed on a map showing the sea may be output.

Note that the freezing identification information generation unit 171 may be incorporated as one of the functions of the change information generation unit 170 described in the second embodiment. Also, the route calculation unit 181 may be incorporated as one of the functions of the route calculation unit 180 described in the second embodiment.

[Operation of information processing device 102]
Next, an example of the operation of the information processing device 102 will be described with reference to FIGS. 10 and 11. FIG.

FIG. 10 is a flowchart explaining an example of the operation of the information processing device 102. FIG. Specifically, FIG. 10 is a diagram illustrating an example of the operation when the information processing apparatus 102 receives a request to generate an imaging plan for the purpose of grasping the state of sea ice on the ground surface. .

The reception unit 110 receives a request to generate an imaging plan from the terminal device 400 (S501). The acquisition unit 122 acquires event data related to the range specified by the generation request (S502). Event data are, for example, route data and sea ice data. Then, the identifying unit 132 identifies the target range (S503). Specifically, the specifying unit 132 estimates a location through which the ship can pass based on the event data, and specifies the estimated location as the target range. The processing of S504 to S506 is the same as the processing of S104 to S106 in FIG.

FIG. 11 is a flowchart explaining another example of the operation of the information processing device 102. FIG. Specifically, FIG. 11 is a diagram illustrating an example of the operation of the information processing apparatus 102 after imaging data is generated by the imaging apparatus 200 .

The reception unit 110 receives a route output request (S601). Here, it is assumed that the receiving unit 110 has received from the terminal device 400 a request for output of routes through which ships can travel. The acquisition unit 122 acquires imaging data in which the target range is imaged (S602). The icing identification information generation unit 171 generates icing identification information in the imaging range based on the imaging data (S603). The route calculation unit 181 calculates a route through which the ship can pass based on the ice identification information (S604). The output control unit 162 outputs information indicating the calculated route to the terminal device 400 (S605). For example, the output control unit 162 outputs to the terminal device 400 an image in which a route through which a ship can pass is superimposed on a map showing the sea. At this time, the output control unit 162 superimposes an image showing the frozen area and the non-frozen area on the map showing the sea, and further superimposes the route through which the ship can pass, and displays the image on the terminal device 400. can be output to

In this way, the information processing apparatus 102 of the third embodiment acquires event data that is data based on an event that has already occurred and that includes information on the position of the ground surface related to the event. Then, based on the event data, the information processing apparatus 102 identifies a target range, which is a range of the ground surface to be captured by the imaging device, and performs an imaging plan for the imaging device so that the imaging device captures the target range. to generate Thereby, the information processing apparatus 102 of the third embodiment has the same effects as the information processing apparatus 100 of the first embodiment. In other words, the information processing apparatus 102 according to the third embodiment can support generation of an imaging plan.

Further, the information processing apparatus 102 of the third embodiment acquires at least one of ship route data and sea ice data indicating changes in sea ice as event data, and based on the event data, determines whether the ship is passing through. A possible location is estimated, and the estimated location is specified as the target range. Thereby, the information processing apparatus 102 of the third embodiment can support generation of an imaging plan for grasping the state of sea ice on the ground surface.

Further, the information processing apparatus 102 of the third embodiment is information generated according to image data based on the result of imaging by the image capturing apparatus, and includes a frozen range and a non-frozen range on the sea. Based on the ice identification information, which is information identifying the In this way, the information processing apparatus 102 of the third embodiment can provide a passable route on the sea where there is a frozen area.

[Modification 4]
The route calculation unit 181 may calculate the route according to the type of ship.

In seas with sea ice, icebreakers are often used. Here, depending on the type of icebreaker, the thickness of sea ice that can be passed through may change. Also, depending on the thickness of the sea ice, even non-icebreakers may be able to pass through. In this way, the thickness of sea ice may change the types of vessels that can pass through.

The route calculation unit 181 uses sea ice thickness information to calculate a route according to the type of vessel. Information in which the type of vessel and the thickness of sea ice through which the vessel can pass may be stored in the storage device 302 or transmitted from the terminal device 400 .

<Fourth Embodiment>
Next, an information processing apparatus according to the fourth embodiment will be described.

Large puddles occur in areas where heavy rainfall occurs frequently. In such areas with many puddles, there is a tendency for disease-carrying organisms such as mosquitoes to occur more easily. Therefore, by grasping the occurrence of puddles, there is a possibility that the occurrence of a predetermined disease can be dealt with. In the fourth embodiment, a detailed description will be given of an imaging support system when generating an imaging plan for grasping the occurrence of water areas including puddles on the ground surface.

FIG. 12 is a block diagram showing an example configuration of the imaging support system 1003 of the fourth embodiment. As shown in FIG. 12, an imaging support system 1003 includes an information processing device 103 and a storage device 303 instead of the information processing device 102 and storage device 302 in the third embodiment. It is the same as the imaging support system 1002 described in the form. That is, the imaging support system 1003 includes an information processing device 103 , an imaging device 200 and a storage device 303 . In addition, in the fourth embodiment, a part of the description of the content that overlaps with the content described in the first, second, and third embodiments will be omitted.

[Details of storage device 303]
The geospatial information storage unit 323 stores the geospatial information described above. Furthermore, geospatial information includes data related to places where water bodies have occurred in the past (referred to as water body occurrence data), and data that associates the number of people with specific diseases and locations in the past (disease data). ) are included. Note that the water area occurrence data may include the above-described water area information generated in the past, or may include information generated by observing water areas using other methods. Also, the geospatial information storage unit 323 stores distribution information indicating population distribution in a predetermined area.

[Details of information processing device 103]
As shown in FIG. 12, the information processing apparatus 103 includes a reception unit 110, an acquisition unit 123, a specification unit 133, a generation unit 140, an imaging control unit 150, an output control unit 163, and a change information generation unit 172. and a selection unit 190 .

For example, the acquisition unit 123 acquires at least one of water area occurrence data and disease data in the range specified by the generation request as event data.

The identifying unit 133 identifies the target range based on the event data acquired by the acquiring unit 123 . For example, the identifying unit 133 estimates a location where a water area occurs from the water area occurrence data. At this time, the identifying unit 133 may extract locations where water areas have occurred in the past, and estimate locations where water areas are expected to remain as locations where water areas have occurred. Alternatively, the identification unit 133 may extract locations where water areas have occurred in the past, and estimate locations where water areas have occurred a predetermined number of times or more as locations where water areas have occurred. Further, based on the disease data, the identifying unit 133 may estimate the vicinity of an area where a predetermined number or more of people are suffering from a predetermined disease (for example, malaria) as a location where a water area is occurring. good. Then, the identifying unit 133 identifies the location where the estimated water area occurs as the target range.

Further, the identifying unit 133 may extract a location where a water area has occurred a predetermined number of times or for a predetermined time or longer in the past from the water area occurrence data, and may set the location as a location where it is estimated that a water area will occur in the future. . Then, the specifying unit 133 may specify the location as the target range. As a result, the information processing apparatus 103 can identify in advance a location where there is a high possibility that a water area will occur in the future, and generate an imaging plan.

　The method of specifying the target range is not limited to the above example. For example, the identification unit 133 may identify the target range using data other than water area occurrence data and disease data. For example, the specifying unit 133 may specify the target range further using weather data in the range specified by the generation request. Here, the weather data includes, for example, rainfall information. The identification unit 133 may estimate, for example, an area where a precipitation amount equal to or greater than a predetermined value is observed as a location where a water area occurs.

The change information generation unit 172 generates change information based on the imaging data. In particular, the change information generator 172 generates water area information. The water area information may include information indicating locations where water areas occur, or may include information indicating changes in water areas. For example, by comparing the imaged data with a map corresponding to the imaged range of the imaged data, information indicating locations where water areas are generated is generated. Further, for example, by comparing imaging data of the same imaging range taken at a plurality of times, information indicating whether the water area is expanding or shrinking is generated. In this manner, the change information generation unit 172 generates change information including water area information indicating water areas generated on the ground surface, according to the imaging data based on the result of imaging by the imaging device.

The selection unit 190 selects regions to provide pharmaceuticals. As described above, there is a possibility that organisms such as mosquitoes that transmit certain diseases may emerge from puddles. Therefore, it is predicted that the demand for medicines for a given disease will increase in the vicinity of the location where the water area occurs. The selection unit 190 selects areas to provide pharmaceuticals based on water area information and population distribution information. For example, the selection unit 190 determines that there is a high possibility that a given disease will occur when the population of an area including a water area is greater than or equal to a threshold. Further, for example, the selection unit 190 may determine from the water area information that there is a high possibility of occurrence of a predetermined disease when the population of the area including the location where the water area is expanded is equal to or greater than a threshold. Then, the selection unit 190 selects areas where it is determined that there is a high possibility that a given disease will occur, as areas where medicines are to be provided.

Also, the distribution information may include information on facilities where people gather. In this case, the selection unit 190 may select an area to provide medicines using information on the distance from the location where the water area shown in the water area information occurs to various facilities. Various facilities are facilities where people gather, such as markets, stations, hospitals, government offices, and the like. For example, when the distance from the location where the water area occurs or the location where the expanded water area exists to the facility where people gather is less than the threshold, the selection unit 190 selects the area including the facility as the area where the medicine is provided. Select as

In this way, the selection unit 190 selects areas to provide medicines for diseases mediated by organisms originating from water areas, based on water area information and population distribution information. The selection unit 190 is an example of selection means.

The output control unit 163 may output various types of information to the terminal device 400 in any format, similar to the output control unit 162 described above. Specifically, a superimposed image in which at least one of water area information and information indicating a selected area is superimposed on a map may be output.

[Operation of information processing device 103]
Next, an example of the operation of the information processing device 103 will be described with reference to FIGS. 13 and 14. FIG.

FIG. 13 is a flowchart explaining an example of the operation of the information processing device 103. FIG. Specifically, FIG. 13 is a diagram illustrating an example of the operation when the information processing apparatus 103 receives an imaging plan generation request for the purpose of grasping the generation status of water areas on the ground surface. .

The reception unit 110 receives a request to generate an imaging plan from the terminal device 400 (S701). The acquisition unit 123 acquires event data related to the range specified by the generation request (S702). Event data is, for example, water occurrence data and disease data. Then, the specifying unit 133 specifies the target range (S703). Specifically, the identifying unit 133 estimates a location where a water area occurs based on the event data, and identifies the estimated location as the target range. The processing of S704 to S706 is the same as the processing of S104 to S106 in FIG.

FIG. 14 is a flowchart explaining another example of the operation of the information processing device 103. FIG. Specifically, FIG. 14 is a diagram illustrating an example of the operation of the information processing apparatus 103 after imaging data is generated by the imaging apparatus 200 .

The reception unit 110 receives an output request for the selection result of the area where the medicine is provided from the terminal device 400 (S801). The acquisition unit 123 acquires imaging data in which the target range is imaged (S802). The change information generation unit 172 generates change information including water area information in the imaging range based on the imaging data (S803). The selection unit 190 selects areas to provide medicines based on the water area information and the distribution information (S804). Then, the output control unit 163 outputs information indicating the selected area (S805). For example, the output control unit 163 outputs to the terminal device 400 an image in which information indicating the selected area is superimposed on the map. At this time, the output control unit 163 may further output an image on which water area information is superimposed.

In this way, the information processing apparatus 103 of the fourth embodiment acquires event data that is data based on an event that has already occurred and that includes information on the position of the ground surface related to the event. Based on the event data, the information processing apparatus 103 identifies a target range, which is a range of the ground surface to be imaged by the imaging device, and performs an imaging plan for the imaging device so that the imaging device captures an image of the target range. to generate Thereby, the information processing apparatus 103 of the fourth embodiment has the same effects as the information processing apparatus 100 of the first embodiment. In other words, the information processing apparatus 103 according to the fourth embodiment can support generation of an imaging plan.

In addition, the information processing apparatus 103 of the fourth embodiment stores at least one of data relating to places where water bodies have occurred in the past and data in which the number of people who have had a predetermined disease in the past and places are associated with each other. Acquired as event data, based on the event data, the location where the water area occurs is estimated, and the estimated location is specified as the target range. As a result, the information processing apparatus 103 of the fourth embodiment can support generation of an imaging plan for grasping the occurrence of water areas on the ground surface.

Further, the information processing apparatus 103 of the fourth embodiment generates change information including water area information indicating a water area generated on the ground surface according to image data based on the result of imaging by the imaging apparatus, and generates change information including water area information and water area information. , distribution information that indicates the distribution of the population, and areas to provide medicines for organism-borne diseases originating from water bodies. As a result, the information processing apparatus 103 of the fourth embodiment can support the response to the occurrence of diseases caused by the occurrence of water areas.

It should be noted that the information processing device 103 of the fourth embodiment can also be applied to support search for water sources. In this case, for example, based on the water area information, the output control unit 163 outputs to the terminal device 400 an image in which a location where a new water area is generated is superimposed on the map.

Also, the information processing device 103 of the fourth embodiment can be applied to support discovery of illegal mining. As mining takes place, groundwater may emerge from the mined site. For example, based on the water area information, the output control unit 163 outputs to the terminal device 400 an image in which a location where a new water area is generated is superimposed on the map. As a result, the information processing apparatus 103 can provide information that a water area has occurred in a location that has not been planned in advance by the government or the like.

<Fifth Embodiment>
The information processing apparatus according to the present disclosure may have the following configuration.

FIG. 15 is a block diagram showing an example of the functional configuration of the information processing device 500. As shown in FIG. The imaging support system 1000 shown in FIG. 1 may include an information processing device 500 instead of the information processing device 100 . As shown in FIG. 15 , the information processing device 500 includes an acquisition unit 510 , a specification unit 520 and a generation unit 530 .

The acquisition unit 510 acquires event data that is data based on an event that has already occurred and includes information on the position of the ground surface related to the event. As described above, event data includes disaster data, hazard maps, disease data, weather data, sea ice data, route data, and the like. Note that event data is not limited to this example.

The specifying unit 520 specifies the target range, which is the range of the ground surface to be captured by the imaging device, based on the event data. For example, the identifying unit 520 may identify, as the target range, a range in which it is estimated that there is a change in the ground surface greater than or equal to a predetermined scale, from the event data.

The generation unit 530 generates an imaging plan for the imaging device so that the imaging device images the target range.

FIG. 16 is a flowchart explaining an example of the operation of the information processing device 500. FIG. First, the acquiring unit 510 acquires event data, which is data based on an event that has already occurred and includes information on the position of the ground surface related to the event (S501). Next, the specifying unit 520 specifies a target range, which is the range of the ground surface to be captured by the imaging device, based on the event data (S502). Then, the generation unit 530 generates an imaging plan for the imaging device so that the imaging device images the target range (S503).

With the above configuration, the information processing apparatus 500 of the fifth embodiment can specify the target range and generate the imaging plan regardless of the current state of the ground surface, for example. Therefore, for example, the information processing apparatus 500 can generate an imaging plan for imaging a range in which an abnormality is estimated to occur even before an abnormality that occurs on the ground surface becomes apparent. In other words, the information processing apparatus 500 according to the fifth embodiment can support generation of an imaging plan.

<Hardware Configuration Example of Information Processing Device>
Hardware constituting the information processing apparatus of the above-described first, second, third, fourth and fifth embodiments will be described. FIG. 17 is a block diagram showing an example of the hardware configuration of a computer device that implements the information processing device in each embodiment. Each block shown in FIG. 17 can be implemented by a combination of the computer device 10 that implements the information processing device and the information processing method in each embodiment, and software.

As shown in FIG. 16, the computer device 10 includes a processor 11, a RAM (Random Access Memory) 12, a ROM (Read Only Memory) 13, a storage device 14, an input/output interface 15, a bus 16, and a drive device 17. Note that the information processing device may be realized by a plurality of electric circuits.

The storage device 14 stores a program (computer program) 18. Processor 11 uses RAM 12 to execute program 18 of the information processing apparatus. Specifically, for example, the program 18 includes a program that causes a computer to execute the processes shown in FIGS. 3, 4, 7, 8, 10, 11, 13, 14 and 16. As the processor 11 executes the program 18, the function of each component of the information processing apparatus is realized. Program 18 may be stored in ROM 13 . The program 18 may be recorded on the storage medium 20 and read using the drive device 17, or may be transmitted from an external device (not shown) to the computer device 10 via a network (not shown).

The input/output interface 15 exchanges data with peripheral devices (keyboard, mouse, display device, etc.) 19 . The input/output interface 15 functions as means for acquiring or outputting data. A bus 16 connects each component.

It should be noted that there are various modifications of the method for realizing the information processing device. For example, the information processing device can be implemented as a dedicated device. Also, the information processing device can be realized based on a combination of a plurality of devices.

A processing method in which a program for realizing each component in the function of each embodiment is recorded in a storage medium, the program recorded in the storage medium is read as code, and a computer executes the processing method is also included in the scope of each embodiment. . That is, a computer-readable storage medium is also included in the scope of each embodiment. Further, each embodiment includes a storage medium in which the above-described program is recorded, and the program itself.

The storage medium is, for example, a floppy (registered trademark) disk, hard disk, optical disk, magneto-optical disk, CD (Compact Disc)-ROM, magnetic tape, non-volatile memory card, or ROM, but is not limited to this example. In addition, the programs recorded on the storage medium are not limited to programs that execute processing independently, but also work together with other software and expansion board functions to run on an OS (Operating System) to execute processing. A program for executing the program is also included in the category of each embodiment.

Although the present invention has been described with reference to the embodiments, the present invention is not limited to the above embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

This application claims priority based on Japanese Patent Application No. 2021-015660 filed on February 3, 2021, and incorporates all of its disclosure herein.

100, 101, 102, 103, 500 information processing apparatus 110

reception unit

120, 121, 122, 123, 510

acquisition unit

130, 131, 132, 133, 520

identification unit

140, 530 generation unit 150

imaging control unit

160, 161, 162, 163

Output control units

170, 172 Change information generation unit 171 Freezing identification information generation unit 180 Route calculation unit 181 Route calculation unit 190 Selection unit 200

Imaging device

300, 301, 302, 303 Storage device 400 Terminal device

Claims

Acquisition means for acquiring event data, which is data based on an event that has already occurred and includes information on the position of the ground surface related to the event; an identifying means for identifying a target range, which is a range;
generating means for generating an imaging plan for the imaging device so that the imaging device images the target range;
Information processing equipment.
The acquisition means acquires at least one of data relating to locations damaged by past disasters and hazard maps as the event data, and further information posted on a social networking service (SNS), Acquiring real-time data including at least one of posted information including contents related to disaster situations, location information of mobile terminals, and information of evacuees registered in the safety confirmation system,
The identifying means estimates a disaster location based on the event data and the immediate data, and identifies the disaster location as the target range.
The information processing device according to claim 1 .
The identifying means narrows down a range of the ground surface where a disaster may occur based on the event data,
the acquiring means acquires the immediate data associated with the narrowed range;
The information processing apparatus according to claim 2.
Provided with route calculation means for calculating a predetermined route,
The route calculation means is information generated in accordance with imaging data based on the result of imaging by the imaging device, and is information indicating changes in the ground surface occurring over time, based on change information, Calculate a route that does not include points where the change in the ground surface exceeds a certain standard,
The information processing apparatus according to any one of claims 1 to 3.
The acquiring means acquires at least one of ship route data and sea ice data indicating past sea ice fluctuations as the event data,
The identifying means estimates a location through which a ship can pass based on the event data, and identifies the estimated location as the target range.
The information processing device according to claim 1 .
Based on the ice identification information, which is information generated according to the imaging data based on the result of imaging by the imaging device, and is information for identifying a frozen area and a non-frozen area on the sea, Equipped with a route calculation means for calculating a route through which the ship can pass,
The information processing apparatus according to claim 1 or 5.
The acquiring means acquires at least one of data relating to places where water bodies have occurred in the past and data in which the number of people who have had a predetermined disease in the past and places are associated with each other as the event data,
The specifying means estimates a place where a water area occurs based on the event data, and specifies the estimated place as the target range.
The information processing device according to claim 1 .
change information generating means for generating change information including water area information indicating a water area occurring on the ground surface according to the imaging data based on the result of imaging by the imaging device;
selection means for selecting an area to provide medicines for diseases mediated by organisms occurring in the water area based on the water area information and distribution information indicating population distribution;
The information processing apparatus according to claim 1 or 7.
Obtaining event data based on an event that has occurred, the event data including location information on the ground associated with the event;
Based on the event data, a target range, which is the range of the ground surface to be captured by the imaging device, is specified;
generating an imaging plan for the imaging device such that the imaging device images the target range;
Information processing methods.
A process of acquiring event data based on an event that has already occurred and including information on the position of the ground surface related to the event; A process of identifying a target range that is
storing a program that causes a computer to execute a process of generating an imaging plan for the imaging device so that the imaging device captures the target range;
computer readable storage medium;