JP2024015745A - Report creation support system and report creation support method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a report creation support system that supports creation of a report or the like.

SOLUTION: A report creation support system according to an embodiment includes an observation data receiving unit, an image data receiving unit, a data association processing unit, a data storage unit, and a data output unit. The observation data receiving unit receives observation data obtained by environmental observation of an observation station. The image data receiving unit receives image data obtained by photographing with a photographing device. The data association processing unit generates association data between the observation data and the image data satisfying a condition based on a date and time difference obtained from date and time information of the observation data and the image data, and a distance difference obtained from position information of the observation data and the image data. The data storage unit stores the association data. The data output unit outputs the association data associated by the data association processing unit.

SELECTED DRAWING: Figure 2

COPYRIGHT: (C)2024,JPO&INPIT

Description

Embodiments of the present invention relate to a report creation support system and a report creation support method.

In a disaster prevention system for maintaining and managing social infrastructure, managers monitor natural disasters and related failures to facilities and equipment, provide information to residents, etc., and create reports summarizing the disaster situation. They are required to report to the relevant departments, etc. For example, the administrator may collect observation data (hereinafter referred to as "observation data") obtained from sensors installed at telemeter observation stations installed in disaster prevention systems (rivers, dams, etc.) to be monitored, digital cameras, video cameras, etc. Compile a report to related departments using data such as still images and videos (hereinafter referred to as image data) taken using a smartphone or other device.

Japanese Patent Application Publication No. 2021-110983 Patent No. 5601255 Japanese Patent Application Publication No. 2020-008984

In the report, it is necessary to express how the disaster occurred in chronological order. Currently, administrators arrange observation data and image data separately in chronological order, and then combine these data to create reports. However, the task of arranging independently obtained observation data and video data in chronological order is a burdensome task, and there is a need to reduce this workload. That is, there is a need for technology that supports the creation of reports and the like.

The problem to be solved by the present invention is to provide a report creation support system and a report creation support method that support the creation of reports and the like.

The report creation support system according to the embodiment includes an observation data receiving section, an image data receiving section, a data association processing section, a data storage section, and a data output section. The observation data receiving unit receives observation data obtained by environmental observation at an observation station. The image data receiving section receives image data obtained by photographing with a photographing device. The data association processing unit associates observation data and image data that satisfy a condition based on a date and time difference obtained from date and time information of observation data and image data, and a distance difference obtained from position information of observation data and image data. Generate data. The data storage unit stores the association data. The data output unit outputs the association data associated by the data association processing unit.

FIG. 1 is a diagram illustrating an example of the overall system configuration including a report creation support system according to an embodiment. FIG. 2 is a block diagram showing the configuration of the report creation support system according to the first embodiment. FIG. 3 is a flowchart illustrating an example of data association processing by the report creation support system according to the first embodiment. FIG. 4 is a block diagram showing the configuration of a report creation support system according to the second embodiment. FIG. 5 is a block diagram showing the configuration of a report creation support system according to the third embodiment. FIG. 6 is a block diagram showing the configuration of a report creation support system according to the fourth embodiment.

Hereinafter, a report creation support system according to an embodiment will be described with reference to the drawings. Here, the disaster prevention information system connected to the report creation support system includes a river information system, a dam management control device (dam control), a water management system that manages the flow rate of irrigation canals such as agricultural water, and a system that issues evacuation instructions to local residents. Although there are comprehensive disaster prevention information systems and the like, the following explanation will use a river information system as an example.

<First embodiment>
FIG. 1 is a diagram illustrating an example of the overall system configuration including a report creation support system according to an embodiment.
As shown in FIG. 1, the system configuration of this embodiment is such that a network disaster prevention information system 2, a photographing device 3, and a related department 4 serving as a higher level reporting destination are connected to a communication network (either the Internet or a dedicated line) 6. The feature is that a report creation support system 1 is provided in the system connected via the system. Here, the report creation support system 1 may be realized by a physical server (on-premises) or a virtual server (cloud).

First, the disaster prevention information system 2 will be explained.
The disaster prevention information system 2 includes a telemeter monitoring device 21, a data storage device 22, a communication processing server 23, a display panel device 24, an operation section 25, a public Web server 27, and a mail server 26.

The telemeter observation station 5 regularly observes observed values such as rainfall amount or river water level, and transmits the observed values in real time or periodically.
The telemeter monitoring device 21 receives observed values such as rainfall or river water level regularly observed at the telemeter observation station 5 installed in the target area in real time or periodically, and sends the received observed values to the communication processing server 23. Deliver to.

The data storage device 22 is a data storage unit and stores various data. For example, the data storage device 22 stores observation values received by the telemeter monitoring device 21 as observation data. The data storage device 22 also stores association data. The association data will be explained in detail later.

The communication processing server 23 compares the observation data distributed from the telemeter monitoring device 21 with a threshold value, and when the observation data exceeds the threshold value, detects an abnormality and outputs a warning or the like. For example, the communication processing server 23 may transmit observation data to the report creation support system 1 in real time in response to an update of the observation data, or periodically transmit observation data to the report creation support system 1. Good too.
Further, the communication processing server 23 transmits observation data accumulated in the data storage device 22 to the report creation support system 1 via the communication network 6 or the like.

The display panel device 24 displays observation data etc. by the telemeter monitoring device 21. The display panel device 24 also displays alarms output from the communication device 23.

The operation unit 25 is an input/output device that searches for and associates measurement data and image data stored in the data storage device 22 with arbitrary dates and times, and performs operations for preparing a report. The detailed method for creating the report will be described later. The operation unit 25 is configured with an industrial personal computer, a general personal computer, a smartphone, or the like.

The mail server 26 sends an email to the registered email address. For example, the mail server 26 transmits the warning output from the communication processing server 23 by mail.

The publishing web server 27 is a web server that publishes the monitoring results stored in the data storage device 22. The public web server 27 responds to accesses from various communication terminals and outputs monitoring results.

The photographing device 3 is a photographing device that transmits image data obtained by photographing observation locations such as rivers and dams. The photographing device 3 may be a fixed photographing device or a portable photographing device, such as a digital camera, a video camera, or a smartphone.

The report creation support system 1 includes an observation data collection device 11 , an image data collection device 12 , a data association device 13 , a data storage device 14 , and a data output device 15 .

The observation data collection device 11 is a communication device that receives observation data obtained by environmental observation of the disaster prevention information system 2 via the communication network 6 or the like. The observation data collection device 11 is also a data analysis device that analyzes received observation data. The observation data includes date and time information, location information, observed values, and the like.
Furthermore, the observation data includes an observation station name, water system name, river name, jurisdiction office, address, and reference value (threshold value). Observed values are values observed at rivers, dams, etc.
Here, the date and time information indicates the date and time of observation of the observed value. The location information indicates the latitude and longitude of the observation location. The observed value indicates the amount of rainfall or the water level of a river, etc.

The image data collection device 12 is a communication device that receives image data obtained by photographing with the photographing device 3 via the communication network 6 or the like. The image data collection device 12 is also an image analysis device that detects buildings and the like from the received image data through image processing. The image data is data obtained by photographing rivers, dams, etc. For example, the image data includes date and time information. Further, the image data may include location information in addition to date and time information. The date and time information indicates the date and time when the image data was taken. The location information indicates the latitude and longitude of the location where the image data was taken.

The data association device 13 associates and synchronizes observation data and image data that satisfy association conditions. For example, the data association device 13 connects observation data and image data that satisfy the association condition based on a difference in date and time obtained from date and time information of observation data and image data, and a difference in distance obtained from position information of observation data and image data. Generate data associations for.

The data storage device 14 is a data storage device and stores various data. For example, the data storage device 14 stores data associations generated by the data association device 13.

The data output device 15 presents a search screen in response to a request from the operation unit 25 of the disaster prevention system 2, accepts a search via the search screen, and outputs data association in a specified format as a search result. For example, based on a search request that specifies date and time or location, the data output device 15 outputs data associations that satisfy the search request in a specified format.

A creator who creates various reports can receive association data in a specified format using the operation unit 25 of the disaster prevention system 2. The creator can obtain synchronized observation data and image data from the association data, and can easily create a report using the synchronized observation data and image data.

The related department 4 is a related department that receives the created report.
For example, in the case of a river information system, the disaster prevention system 2 is installed at the river office, and the related departments are higher-level organizations such as the regional development bureau and the Ministry of Land, Infrastructure, Transport and Tourism. In addition, related departments include prefectures, municipalities, fire departments, police departments, etc. that require reports.

FIG. 2 is a block diagram showing the configuration of the report creation support system according to the first embodiment.
As shown in FIG. 2, the report creation support system 1 includes an observation data collection device 11, an image data collection device 12, a data association device 13, a data storage device 14, and a data output device 15.

The observation data collection device 11 includes an observation data receiving section 111 and an observation data distribution section 112.
The observation data receiving unit 111 receives observation data obtained by environmental observation of the disaster prevention information system 2. The observation data distribution unit 112 distributes the received observation data to the data association device 13 and the like.

The image data collection device 12 includes an image data receiving section 121 and an image data distribution section 122.
The image data receiving unit 121 receives image data obtained by photographing an observation location with the photographing device 3. The image data distribution unit 122 distributes the received image data to the data association device 13 and the like.

The data association device 13 includes a data reception section 131, a data association processing section 132, and a data distribution section 133.
The data receiving unit 131 receives observation data distributed from the observation data collection device 11 and also receives image data distributed from the image data collection device 12.
The data association processing unit 132 connects the observation data and image data that satisfy the association condition based on the difference in date and time obtained from the date and time information of the observation data and the image data, and the difference in distance obtained from the position information of the observation data and image data. Generate association data.
The data distribution unit 133 distributes the association data to the data storage device 14 and the like.

The data association processing unit 132 organizes the observation data in chronological order based on date and time information included in the observation data, and groups the observation data based on position information included in the observation data arranged in chronological order.
Similarly, the data association processing unit 132 organizes the image data in chronological order based on the date and time information included in the image data, and groups the image data based on the position information included in the chronologically arranged image data.
Furthermore, the data association processing unit 132 associates observation data and image data of groups less than a predetermined distance in time series.

The data storage device 14 includes a data storage section 141.
The data storage unit 141 stores association data distributed from the data association device 13. The association data may include associated observation data and image data, or may include link data to the associated observation data and image data without including the associated observation data and image data.

As the date and time information of the association data, the date and time information of the associated observation data may be employed, the date and time information of the associated image data may be employed, or both date and time information may be employed. Similarly, as the position information of the associated data, the position information of the associated observation data may be adopted, the position information of the associated image data may be adopted, or both position information may be adopted. Good too.

The data output device 15 includes a data search section 151 and a data output section 152.
The data search unit 151 searches for association data that satisfies the search request, based on a search request that specifies the date and time or location and is sent from the operation unit 25 . For example, the data search unit 151 uses the date and time of observation data or image data included in the search request as a reference, and searches for data in which observation data or image data that is less than a predetermined time before or after the reference date and time is associated. When one hour is set as the predetermined time, the data search unit 151 searches for data in which observation data or image data of less than one hour before and after the reference date and time are associated.

Furthermore, the data search unit 151 searches for data associated with observation data or image data that is less than a predetermined distance from the reference position, using the position of the observation data or image data included in the search request as a reference. When 1 km is set as the predetermined distance, the data search unit 151 searches for data associated with observation data or image data less than 1 km from the reference position.
The data output unit 152 outputs the retrieved association data to the operation unit 25. For example, the data output unit 152 outputs association data that conforms to the specified report format to the operation unit 25.

Here, some examples of association between observation data and image data by the data association processing unit 132 will be explained.
(1-1) The data association processing unit 132 generates association data between observation data and image data that satisfies an association condition in which the difference in date and time obtained from the date and time information of observation data and image data is less than a first threshold.
Here, the first threshold is an arbitrary value, and by setting the first threshold to one hour, the data association processing unit 132 can associate data between observation data and image data for which the difference in date and time is less than one hour. generate. For example, the operation unit 25 operated by a creator who creates various reports specifies association conditions.
That is, the creator specifies the first threshold value, which is an arbitrary value, via the operation unit 25.

(1-2) If there is no observed data that satisfies the association condition of less than the first threshold, the data association processing unit 132 temporarily selects the observed data and the image whose date and time difference is equal to or greater than the first threshold and has the minimum value. Data association data may be generated and association data including provisional information may be output.

(2) In addition, in order to associate the most appropriate data, instead of generating association data between observation data and image data that satisfy the association condition less than the first threshold, the data association processing unit 132 generates date and time information of observation data and image data. You may generate association data between observation data and image data that satisfies an association condition in which the difference in date and time obtained from the above is the smallest.
Thereby, when there are multiple combinations of observation data and image data that satisfy the association condition less than the first threshold, it is possible to associate the most appropriate data. For example, the operation unit 25 operated by a creator who creates various reports specifies the above-mentioned association conditions.

(3-1) The data association processing unit 132 generates association data between observation data and image data that satisfies an association condition in which the difference in distance obtained from the position information of observation data and image data is less than a second threshold.
Here, the second threshold is an arbitrary value, and by setting the second threshold to 1 km, the data association processing unit 132 generates association data between observation data and image data for which the difference in distance is less than 1 km. do. For example, the operation unit 25 operated by a creator who creates various reports specifies a second threshold that is an arbitrary value.

(3-2) If there is no observation data that satisfies the association condition less than the second threshold, the data association processing unit 132 temporarily selects the observation data and the image whose distance difference is equal to or greater than the second threshold and has a minimum value. Data association data may be generated and association data including provisional information may be output.

(4) In order to associate the most appropriate data, instead of generating association data between observation data and image data that satisfy the association condition less than the second threshold, the data association processing unit 132 generates position information of observation data and image data. You may generate association data between observation data and image data that satisfies an association condition in which the difference in distance obtained from .
Thereby, when there are multiple combinations of observation data and image data that satisfy the association condition less than the second threshold, it is possible to associate the most appropriate data. A creator who creates various reports specifies the above-mentioned association conditions that he or she wants to display on the operation unit 25.

The data association processing unit 132 executes the above (1-1) or (1-2) in combination with (3-1), (3-2), or (4). Alternatively, the above (2) and (3-1), (3-2), or (4) are executed in combination.
When executing (2), it is possible to obtain association data with emphasis on date and time. When (4) is executed, association data that focuses on distance can be obtained. Furthermore, when executing (2) and (4), it is possible to obtain association data that focuses on both date and time and distance.

FIG. 3 is a flowchart illustrating an example of data association processing by the report creation support system according to the first embodiment.
As shown in FIG. 3, in ST101, the observation data collection device 11 receives observation data obtained by environmental observation of the disaster prevention information system 2 through the observation data receiving unit 111. Furthermore, the image data collection device 12 receives, through the image data receiving unit 121, image data obtained by photographing the observation location with the photographing device 3.

Next, in ST102, the data association processing unit 132 causes the data association device 13 to satisfy the association condition based on the date and time difference obtained from the date and time information of the observation data and the image data, and the distance difference obtained from the position information. Generate association data by associating observation data and image data.

Next, in ST103, the data storage device 14 stores the generated association data using the data storage unit 141.

Next, in ST104, the data output device 15 uses the data search unit 151 to search for association data that satisfies the search request, based on the search request that specifies the date and time or location and is transmitted from the operation unit 25.
Then, in ST105, the data output section 152 outputs the retrieved association data to the operation section 25.

<Second embodiment>
Next, a second embodiment will be described. This embodiment is an embodiment in which the data association processing section also includes a data analysis section using AI analysis. Note that an example of the overall system configuration including the report creation support system is the same as that in FIG. 1, so a description thereof will be omitted.

FIG. 4 is a block diagram showing the configuration of a report creation support system according to the second embodiment. Here, the explanation will focus on the differences from the first example.
As shown in FIG. 4, the data association processing section 132 of the report creation support system 1 includes a data analysis section 1321. The data analysis unit 1321 estimates the position of image data using AI (Artificial Intelligence). Note that the data analysis unit 1321 may use AI to analyze and estimate the position of the observation data.
Here, the data analysis unit 1321 learns the map data (including positions and images), generates a position and image model, and estimates the position of the image data obtained by shooting based on the generated model. .

Alternatively, the data analysis unit 1321 may detect a predetermined image from the image data by image processing based on a building database in which outlines and position information of buildings are registered.
In this case, the data analysis unit 1321 detects a building from the first image data received by the data receiving unit 131 based on the building database. Further, the data analysis unit 1321 estimates the position of the first image data from the detected building based on the building database.

Note that the estimated position is not the position of the photographer of the first image data, but the position of the building included in the first image data. This makes it possible to generate association data based on the position of the building included in the first image data, rather than the position of the photographer.
Furthermore, even if the first image data received by the data receiving unit 131 does not include position information (position information of the photographer), the position of the first image data can be estimated.
The data association processing unit 132 generates association data based on the estimated position of the first image data.

Alternatively, the data association processing unit 132 identifies a river related to the first image data from the position of the first image data based on the river database, selects first observation data regarding the specific river, and satisfies the association condition. Association data between the first observation data and the first image data is generated.

The image data may include multiple rivers flowing in parallel or multiple rivers including tributaries.
The data association processing unit 132 can use the river database to identify rivers based on the positions of buildings included in the image data, and can appropriately associate observation data regarding the specific river with image data.

Alternatively, based on the display on the operation unit 25, the creator of various reports specifies association conditions including river names, and the data association processing unit 132 selects the association target based on the specified association conditions. Observation data and image data of a river may be extracted, and data of observation data and image data made to correspond in time series may be generated from the extracted observation data and image data.

<Third embodiment>
Next, a third embodiment will be described. This embodiment is an embodiment in which received data determined to exceed a threshold value is collected from received data and a report is automatically created. Note that an example of the overall system configuration including the report creation support system is the same as that in FIG. 1, so a description thereof will be omitted.

FIG. 5 is a block diagram showing a third example of the report creation support system according to the embodiment. Here, the explanation will focus on the differences from the first example.
As shown in FIG. 5, the data association processing section 132 of the report creation support system 1 includes an excess determination section 1322. Furthermore, the data storage section 141 of the report creation support system 1 includes a report creation section 1411.

The excess determination unit 1322 detects observation data including observed values exceeding the threshold value (observed data exceeding the threshold value) based on the threshold value included in the observed data, and the data association processing unit 132 detects observed data that satisfies the association condition (threshold value Generate association data between (exceeding observed data) and image data.

The report creation unit 1411 creates a report based on the association data between observation data that satisfies the association condition (observation data that exceeds the threshold) and image data. The data storage unit 141 stores the created report.

In this case, the operation unit 25 can receive and display a report generated from association data between observation data that satisfies the association condition (observation data that exceeds a threshold) and image data.

<Fourth embodiment>
Next, a fourth embodiment will be described. This embodiment is an embodiment in which excess data is extracted from received observation data, it is determined whether or not it is an abnormal value, and if it is an abnormal value, an abnormality notification is sent. Note that an example of the overall system configuration including the report creation support system is the same as that in FIG. 1, so a description thereof will be omitted.

FIG. 6 is a block diagram showing the configuration of a report creation support system according to the fourth embodiment. Here, the explanation will focus on the differences from the first example.
As shown in FIG. 6, compared to the first embodiment, the data association processing section 132 of the report creation support system 1 includes an excess determination section 1322. Furthermore, the data storage section 141 of the report creation support system 1 includes an abnormality determination section 1412. Further, the data output unit 152 of the report creation support system 1 includes an abnormality notification unit 1521.

The excess determination unit 1322 detects observation data including observed values exceeding the threshold value (observed data exceeding the threshold value) based on the threshold value included in the observed data, and the data association processing unit 132 detects observed data that satisfies the association condition (threshold value Generate association data between (exceeding observed data) and image data.

The anomaly determination unit 1412 analyzes the image data through image processing based on the association data between the observed data that satisfies the association condition (observed data that exceeds the threshold value) and the image data, determines the presence or absence of an abnormality in the image data, and makes a determination. Output the results.

For example, the abnormality determination unit 1412 determines that observation data exceeding a threshold indicates that there is a large amount of rainfall or that the water level is high, but the analysis result of the image data does not indicate that there is a large amount of rainfall or that the water level is high. In this case, the analysis results do not match, so it is determined to be abnormal.
In addition, the abnormality determination unit 1412 determines that observation data exceeding the threshold value indicates that there is a large amount of rainfall or that the water level is high, and if the analysis result of the image data also indicates that there is a large amount of rainfall or that the water level is high. , Since the analysis results match, it is determined to be normal.

The abnormality notification unit 1521 receives the determination result from the abnormality determination unit 1412 and transmits the determination result to the operation unit 25. For example, the abnormality notification unit 1521 transmits a determination result indicating an abnormality as an alert.
In this embodiment, even if an abnormality occurs in either observation data or image data, an abnormality notification is sent to the operation unit 25, so there is no risk of creating an incorrect report due to erroneous situational judgment. It can be prevented.

According to each of the embodiments described above, it is possible to provide a report creation support system and a report creation support method that support the creation of reports and the like.
The report creation support system 1 identifies observation data and image data that satisfy the association condition based on the difference in date and time obtained from the date and time information of observation data and image data, and the difference in distance obtained from position information of observation data and image data. , and outputs the association data in response to a request from the operation unit 25 or the like.
The request from the operation unit 25 includes date and time, location, or river name.
A creator of various reports can receive appropriate association data via the operation unit 25.

In each of the embodiments described above, a report creation support system connected to a river information system has been described, but the system is not limited to this, and is not limited to this. It can be applied to water management systems that manage the flow rate of irrigation canals, comprehensive disaster prevention information systems that issue evacuation instructions to local residents, etc. In this case as well, the present invention can be applied when combining sensor data and image data to create a report to higher-level related ministries and agencies.

Furthermore, the system connected to the report creation support system is not limited to the disaster prevention information system, and may be applied to plant facilities such as water and sewage systems, buildings, airports, power plants, and chemical plants. In this case, in order to show the operating status of each plant facility and the operating status of the plant, instead of observation data, plant process data is created by combining image data, etc., so that it can be used as a report creation support device. It is also possible to apply.

Although several embodiments of the invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, substitutions, and changes can be made without departing from the gist of the invention. These embodiments and their modifications are included within the scope and gist of the invention, as well as within the scope of the invention described in the claims and its equivalents.

1...Report creation support system 2...Disaster prevention information system 3...Photography device 4...Related departments 5...Telemeter observation station 6...Communication network 11...Observation data collection device 12...Image data collection device 13...Data association device 14...Data accumulation Device 15...Data output device 21...Telemeter monitoring device 22...Data storage device 23...Communication processing server 24...Display panel device 25...Operation unit 26...Mail server 27...Web server for publication 111...Observation data receiving unit 112...Observation data Distribution unit 121...Image data reception unit 122...Image data distribution unit 131...Data reception unit 132...Data association processing unit 133...Data distribution unit 141...Data storage unit 151...Data search unit 152...Data output unit 1321...Data analysis unit 1322...Excess determination unit 1411...Report creation unit 1412...Abnormality determination unit 1521...Abnormality notification unit

Claims (13)

an observation data receiving unit that receives observation data obtained from observation at an observation station;
an image data receiving unit that receives image data obtained by photographing with the photographing device;
Data association processing that generates association data between observation data and image data that satisfies conditions based on the difference in date and time obtained from the date and time information of observation data and image data, and the difference in distance obtained from position information of observation data and image data. Department and
a data storage unit that stores the association data;
a data output unit that outputs the association data associated by the data association processing unit;
A report creation support system equipped with The data association processing unit generates association data between observation data and image data that satisfies a condition that a difference in date and time between observation data and image data is less than a threshold.
The report creation support system according to claim 1. The data association processing unit generates association data between observation data and image data that satisfies a condition where the difference in date and time between observation data and image data is the smallest.
The report creation support system according to claim 2. The data association processing unit generates association data between observation data and image data that satisfies a condition that a difference in distance between observation data and image data is less than a threshold.
The report creation support system according to claim 1. The data association processing unit generates association data between observation data and image data that satisfies a condition in which a difference in distance between observation data and image data is the smallest.
The report creation support system according to claim 4. The data output unit outputs association data that satisfies the search request based on a search request specifying date and time or location.
The report creation support system according to claim 1. The data association processing unit estimates the position of the image data from the buildings included in the image data.
The report creation support system according to claim 1. The data association processing unit analyzes and estimates the position of the received observation data using AI, and associates the position.
The report creation support system according to claim 1. The data association processing unit estimates the position of the first image data from the buildings included in the first image data based on the building database, and estimates the position of the first image data based on the river database from the position of the first image data. identifying, selecting first observation data regarding a specific river, and generating first association data of the first observation data and the first image data that satisfy a condition;
The report creation support system according to claim 1. The data association processing unit detects second observation data including an observation value exceeding a threshold, and generates association data between the second observation data and second image data that satisfy a condition,
The data storage unit creates a report using the association data associated by the data association processing unit.
The report creation support system according to claim 1. The data association processing unit detects second observation data including an observation value exceeding a threshold, and generates association data between the second observation data and second image data that satisfy a condition,
The data storage unit includes an abnormality determination unit that performs comparison with an abnormal value,
The data output unit provides notification in the case of an abnormal value.
The report creation support system according to claim 1. The observation data is data indicating the amount of rainfall or water level observed at the observation location,
The image data is data obtained by photographing observation locations of facilities such as water supply and sewerage systems, rivers, dams, buildings, or airports;
A report creation support system according to any one of claims 1 to 9. Receive observation data obtained from environmental observation at observation stations and image data obtained from photography by imaging devices,
Based on the difference in date and time obtained from the date and time information of the observation data and image data, and the difference in distance obtained from the position information of the observation data and image data, generate association data between observation data and image data that satisfy the conditions,
A report creation support method that outputs the association data.