JP7651507B2 - Information processing device, information processing method, and program - Google Patents

Description

The present invention relates to an information processing device, an information processing method, and a program.

Conventionally, insurance services are known in which insurance money is paid to the insured when a disaster occurs and damages the insured object. Patent Document 1 discloses a technology that predicts the extent of damage to the insured object using sensor information indicating the amount of precipitation, etc., observed by a sensor at the location of the insured object.

Re-table No. 2021-084699

However, with conventional technology, even when rainfall has caused damage to an object, the extent of the damage to the object may be predicted to be small or there may be no damage to the object. In such cases, insurance may not apply to damage to the object caused by rainfall.

The present invention has been made in consideration of these points, and aims to provide an information processing device, information processing method, and program that can compensate for damage to insured property caused by rainfall.

The information processing device according to the first aspect of the present invention has a memory unit that stores information indicating a target organism that is the subject of insurance that compensates for damage caused to organisms living in water by rainfall and application conditions for applying the insurance, an acquisition unit that acquires weather information for identifying the weather in an inflow range defined as an area in which rainwater may flow into a river and water body turbidity information for identifying the turbidity of a location where the target organism exists in an inflow water area into which the river water flows, a determination unit that determines whether the weather in the inflow range and the turbidity of the location satisfy the application conditions based on the weather information and the water body turbidity information, and an output unit that outputs information indicating that the insurance is to be applied when the determination unit determines that the application conditions are satisfied.

The application conditions may include a turbidity threshold indicating a boundary of the turbidity of the location determined to determine whether or not the survival of the target organism is affected, and the determination unit may determine that the weather in the inflow range and the turbidity of the location satisfy the application conditions when the weather in the inflow range is rainy and the turbidity of the location exceeds the turbidity threshold, and may determine that the weather in the inflow range and the turbidity of the location do not satisfy the application conditions when the weather in the inflow range is weather other than rain or when the turbidity of the location is below the turbidity threshold.

The application conditions may include a rainfall threshold value that is a threshold value set to determine whether or not the change in turbidity at the location is affected, and indicates a boundary of the cumulative rainfall at the river mouth between the river and the inflow water area, and the weather information may include rainfall in the inflow range, and the information processing device may further have a calculation unit that calculates the cumulative rainfall at the river mouth due to rainfall in the inflow range based on the rainfall in the inflow range, and the determination unit may determine that the weather in the inflow range and the turbidity at the location satisfy the application conditions if the cumulative rainfall at the river mouth calculated by the calculation unit exceeds the rainfall threshold value and the turbidity at the location exceeds the turbidity threshold value, and may determine that the weather in the inflow range and the turbidity at the location do not satisfy the application conditions if the cumulative rainfall at the river mouth calculated by the calculation unit falls below the rainfall threshold value or the turbidity at the location falls below the turbidity threshold value.

The inflow range may include a plurality of divided inflow ranges, and a coefficient may be set for each divided inflow range included in the inflow range, and the calculation unit may calculate the cumulative rainfall at the river mouth due to rainfall in the inflow range by summing up the values of each divided inflow range multiplied by the time it takes for rainwater in each divided inflow range to flow into the river and reach the river mouth and the coefficient set for each divided inflow range.

The application conditions may include a second turbidity threshold that is a threshold set for determining whether the turbidity of the location exceeds a first turbidity threshold that is the turbidity threshold and indicates a boundary of the turbidity of the estuary, the acquisition unit may further acquire estuary turbidity information for identifying the turbidity of the estuary, and the determination unit may further determine that the weather in the inflow range and the turbidity of the location satisfy the application conditions if the turbidity of the estuary exceeds the second turbidity threshold, and determine that the weather in the inflow range and the turbidity of the location do not satisfy the application conditions if the turbidity of the estuary falls below the second turbidity threshold.

The application conditions may include a flow velocity threshold that is a threshold set to determine whether the water of the river reaches the location and indicates a boundary of the flow velocity of the river mouth, the acquisition unit may further acquire flow velocity information for identifying the flow velocity of the river mouth, and the determination unit may further determine that the weather in the inflow range and the turbidity of the location satisfy the application conditions if the flow velocity of the river mouth exceeds the flow velocity threshold, and determine that the weather in the inflow range and the turbidity of the location do not satisfy the application conditions if the flow velocity of the river mouth identified by the flow velocity information falls below the flow velocity threshold.

The acquisition unit may acquire water area turbidity information corresponding to the water area range from the river mouth to the location and water area flow velocity information indicating the flow velocity in the water area range, the information processing device may further have an estimation unit that estimates the turbidity distribution in the water area range based on the water area turbidity information and the water area flow velocity information, and the determination unit may determine whether the turbidity of the location in the turbidity distribution estimated by the estimation unit satisfies the application condition.

The application conditions may include a water temperature threshold value indicating a boundary of the water temperature of the location determined to determine whether or not the survival of the target organism is affected, and the determination unit may further determine that the water temperature of the location satisfies the application conditions if the water temperature of the location exceeds the water temperature threshold value, and may determine that the water temperature of the location does not satisfy the application conditions if the water temperature of the location falls below the water temperature threshold value.

The acquisition unit may acquire the water body turbidity information from a predetermined mobile body that collects the water body turbidity information while scanning the location when the weather in the inflow range specified by the acquired weather information satisfies a predetermined condition.

The information processing method according to the second aspect of the present invention includes the steps of acquiring, executed by a computer, weather information for identifying the weather in an inflow range defined as the range in which rainwater may flow into a river, and water body turbidity information for identifying the turbidity of a location of a target organism that is the subject of insurance that compensates for damage caused by rainfall to organisms living in water in an inflow water area into which the water of the river flows, determining whether or not the weather in the inflow range and the turbidity of the location satisfy the application conditions for applying the insurance based on the weather information and the water body turbidity information, and outputting information indicating that the insurance will be applied if it is determined that the application conditions are satisfied.

The program according to the third aspect of the present invention causes a computer to function as an acquisition unit that acquires weather information for identifying the weather in an inflow range defined as the range in which rainwater may flow into a river, and water body turbidity information for identifying the turbidity of a location where a target organism that is the subject of insurance that compensates for damage caused by rainfall to organisms living in water in an inflow water area into which the water of the river flows exists, a determination unit that determines whether or not the weather in the inflow range and the turbidity of the location satisfy the application conditions for applying the insurance, based on the weather information and the water body turbidity information, and an output unit that outputs information indicating that the insurance will be applied when the determination unit determines that the application conditions are satisfied.

The present invention has the effect of being able to compensate for damage caused to the insured property by rainfall.

FIG. 1 is a diagram for explaining an overview of an information processing device. FIG. 1 is a diagram illustrating a configuration of an information processing device. FIG. 2 is a diagram illustrating an example of a configuration of an insurance management database. FIG. 13 is a diagram showing a schematic representation of an inflow range. FIG. 1 is a diagram showing a schematic representation of the distribution of turbidity in a water area. 10 is a flowchart showing a flow of processing in the information processing device.

[Overview of information processing device 1]
1 is a diagram for explaining an overview of an information processing device 1. The information processing device 1 is a device that manages an insurance service, for example, a server. The insurance service is a service that provides an insured with insurance that compensates for damage caused to target organisms living in water by natural disasters such as rainfall. The target organisms are organisms that are the subject of insurance, for example, algae, shellfish, fish, etc.

The information processing device 1 manages the details of the insurance service that the insured person subscribes to. The details include the target organism and the application conditions for the insurance to be applied. The details will be described later, but the application conditions are conditions that are determined to identify the causal relationship between a natural disaster and a change in water quality that may affect the survival of the target organism in the location where the target organism exists.

With conventional insurance services, if a natural disaster occurs in an area where a target organism exists and the target organism is damaged by the natural disaster (for example, if the target organism dies or its growth is hindered), insurance applies and insurance payments are made to the insured for losses incurred by the insured as a result of damage to the target organism caused by the natural disaster. However, with conventional insurance services, there are cases where insurance does not apply even if there is a causal relationship between the natural disaster and the damage to the target organism.

In the example shown in FIG. 1, the target organism is present at location E in inflow water area W into which the water of river C flows. For example, when it rains on the river C side, the rainwater that fell on land flows into river C, contaminating the water of river C with mud, etc., and the contaminated water flows into inflow water area W, causing the water quality of location E to deteriorate. The more rainfall there is on the river C side, the more polluted the water of river C becomes, and the more the water quality of location E deteriorates in response to the increased pollution of the water of river C. For example, if the water quality of location E deteriorates, the target organism may die or sunlight may not reach the target organism, hindering its growth. In this way, in conventional insurance services, insurance was not applied even though there was actually a causal relationship between a natural disaster and damage to the target organism, because no natural disaster had occurred at location E.

Therefore, in the insurance service of this embodiment, if the water quality of location E deteriorates due to rainfall on the river C side, insurance is applied and insurance money is paid to the insured to compensate for damages caused by the death and inhibition of growth of the target organism due to the deterioration of the water quality of location E. The following describes the process flow in which the information processing device 1 determines whether or not insurance is appropriate in the insurance service.

First, the information processing device 1 acquires weather information ((1) in FIG. 1). The weather information is information for identifying the weather in inflow range A, which is defined as the range in which rainwater can flow into river C. The weather information is, for example, information indicating the presence or absence of rainfall in inflow range A, or information indicating the amount of rainfall in inflow range A. The weather information is, for example, information observed by a meteorological satellite, or information measured by a sensor installed on the ground.

The information processing device 1 also acquires water area turbidity information ((2) in FIG. 1). The water area turbidity information is information for identifying the turbidity of the location E. The water area turbidity information is, for example, a numerical value indicating the turbidity of the location E. The water area turbidity information is, for example, information measured by a sensor such as a turbidity meter.

The information processing device 1 determines whether the weather in the inflow range A and the turbidity at the location E satisfy the application conditions based on the weather information and water area turbidity information, thereby determining whether the insurance is applicable ((3) in FIG. 1). Then, when the information processing device 1 determines that the weather in the inflow range A and the turbidity at the location E satisfy the application conditions, it outputs information indicating that the insurance is applicable ((4) in FIG. 1).

In this way, the information processing device 1 can compensate for damage caused to the target creature due to bad weather.
The configuration of the information processing device 1 will be described below.

[Configuration of information processing device 1]
2 is a diagram showing the configuration of the information processing device 1. The information processing device 1 has a communication unit 11, a storage unit 12, and a control unit 13. The control unit 13 has an acquisition unit 131, a determination unit 132, a calculation unit 133, an estimation unit 134, and an output unit 135.

The communication unit 11 is an interface for connecting to a network, and includes, for example, a communication controller. The storage unit 12 is a storage medium such as a ROM (Read Only Memory), a RAM (Random Access Memory), or a hard disk. The storage unit 12 stores a program executed by the control unit 13. The storage unit 12 stores an insurance management database that manages information related to insurance.

Figure 3 is a diagram showing an example of the configuration of the insurance management database. As shown in Figure 3, the insurance management database stores information indicating the target organism and information indicating the application conditions (turbidity threshold and rainfall threshold) in association with each other. The turbidity threshold is a threshold indicating the boundary of the turbidity of the location E, which is set to determine whether or not it will affect the survival of the target organism. The rainfall threshold is a threshold set to determine whether or not it will affect the change in turbidity of the location E, and is a threshold indicating the boundary of the cumulative rainfall at the estuary between the river C and the inflowing water area W.

Returning to FIG. 2, the control unit 13 is, for example, a CPU (Central Processing Unit). The control unit 13 executes the programs stored in the memory unit 12, thereby functioning as an acquisition unit 131, a determination unit 132, a calculation unit 133, an estimation unit 134, and an output unit 135.

The acquisition unit 131 acquires weather information for identifying the weather in inflow range A, which is defined as the range in which rainwater may flow into river C, and water body turbidity information for identifying the turbidity of a location E where a target organism exists in an inflow water area W into which the water of river C flows. The acquisition unit 131 may acquire the weather information and the water body turbidity information at the same time, or may acquire them at different times. The acquisition unit 131 acquires weather information corresponding to inflow range A, for example, from an external server that manages information related to weather.

The acquisition unit 131 acquires water area turbidity information of the location E from, for example, a sensor installed in the water of the location E. The acquisition unit 131 may acquire the water area turbidity information of the location E from a specific mobile object that collects water area turbidity information while scanning. The specific mobile object is, for example, a drone that can move in the air, on the water, or underwater, and is equipped with a sensor that can measure the turbidity in the water. For example, the acquisition unit 131 further functions as a mobile object control unit that controls the specific mobile object, causes the specific mobile object to collect water area turbidity information at the location E, and acquires the collected water area turbidity information. Note that the specific mobile object is equipped with a camera that captures the location E, and the acquisition unit 131 may acquire an image captured by the camera of the specific mobile object, and acquire the water area turbidity information by estimating the turbidity of the location E based on the acquired image.

For example, first, the acquisition unit 131 acquires weather information, and the determination unit 132, described later, determines whether the weather in the inflow range A identified by the weather information satisfies a predetermined condition (for example, when the weather in the inflow range A is rainy, or when the accumulated rainfall at the river mouth exceeds a predetermined threshold). Then, when the determination unit 132 determines that the weather in the inflow range A identified by the weather information satisfies the predetermined condition, the acquisition unit 131 causes a predetermined mobile body to collect turbidity information at the location E, and acquires the collected water body turbidity information. In this way, the information processing device 1 can easily identify the condition of the entire location E by acquiring water body turbidity information from the predetermined mobile body.

The determination unit 132 determines whether or not there is a causal relationship between the weather in the inflow range A and the deterioration of the water quality of the location E. Specifically, the determination unit 132 determines whether or not the weather in the inflow range A and the turbidity of the location E satisfy the application conditions based on the weather information and water area turbidity information acquired by the acquisition unit 131.

More specifically, if the weather in the inflow range A specified by the weather information acquired by the acquisition unit 131 is rain and the turbidity of the location E specified by the water body turbidity information acquired by the acquisition unit 131 exceeds the turbidity threshold, the determination unit 132 determines that the weather in the inflow range A and the turbidity of the location E satisfy the application condition. On the other hand, if the weather in the inflow range A specified by the weather information acquired by the acquisition unit 131 is weather other than rain, or if the turbidity of the location E specified by the water body turbidity information acquired by the acquisition unit 131 is below the turbidity threshold, the determination unit 132 determines that the weather in the inflow range A and the turbidity of the location E do not satisfy the application condition.

For example, first, when the acquisition unit 131 acquires either the weather information or the water body turbidity information (e.g., the water body turbidity information), the determination unit 132 determines whether the turbidity of the location E specified by the water body turbidity information satisfies the application condition based on whether the turbidity of the location E specified by the water body turbidity information exceeds the turbidity threshold. If it is determined that the turbidity of the location E satisfies the application condition, the acquisition unit 131 acquires weather information. Then, the determination unit 132 determines whether the weather in the inflow range A satisfies the application condition based on whether the weather in the inflow range A specified by the weather information acquired by the acquisition unit 131 is rainy. In this way, the information processing device 1 can determine whether there is a causal relationship between the weather in the inflow range A and the deterioration of the water quality of the location E.

The determination unit 132 may determine whether the weather in the inflow range A and the turbidity at the location E satisfy the applicable conditions based on the accumulated rainfall at the river mouth. For example, the weather information includes the rainfall in the inflow range A.

In this case, first, the calculation unit 133 calculates the cumulative rainfall at the estuary due to rainfall in the inflow range A based on the rainfall in the inflow range A. Then, if the cumulative rainfall at the estuary calculated by the calculation unit 133 exceeds the rainfall threshold and the turbidity at the location E exceeds the turbidity threshold, the determination unit 132 determines that the weather in the inflow range A and the turbidity at the location E satisfy the application condition. On the other hand, if the cumulative rainfall at the estuary calculated by the calculation unit 133 falls below the rainfall threshold or the turbidity at the location E falls below the turbidity threshold, the determination unit 132 determines that the weather in the inflow range A and the turbidity at the location E do not satisfy the application condition.

For example, inflow range A includes a number of divided inflow ranges, and the calculation unit 133 calculates the accumulated rainfall at the river mouth by accumulating the rainfall at the river mouth due to rainfall in each divided inflow range included in inflow range A.

Figure 4 is a schematic diagram of inflow range A. As shown in Figure 4, inflow range A includes multiple divided inflow ranges. For example, one or more sensors are installed in each divided inflow range.

In this case, when the acquisition unit 131 acquires weather information including the amount of rainfall in each divided inflow range, the calculation unit 133 calculates the cumulative amount of rainfall at the river mouth due to rainfall in inflow range A by summing the values of each divided inflow range multiplied by the amount of rainfall in each divided inflow range multiplied by the time it takes for rainwater in each divided inflow range to flow into river C and reach the river mouth. In this way, the information processing device 1 can improve the accuracy of identifying whether there is a causal relationship between the weather in inflow range A and the deterioration of water quality at location E.

Inflow range A may include locations where the proportion of mud mixed in the rainwater flowing into river C is high, i.e., locations that are highly likely to affect the turbidity of location E, and locations where the proportion of mud mixed in the rainwater flowing into river C is low, i.e., locations that are less likely to affect the turbidity of location E. Thus, calculation unit 133 may calculate the cumulative rainfall at the river mouth taking into account the degree of probability of affecting the turbidity of location E.

For example, a coefficient is set for each divided inflow range included in inflow range A. For example, a coefficient that increases the amount of rainfall is set for locations that are highly likely to affect the turbidity of location E, and a coefficient that decreases the amount of rainfall is set for locations that are less likely to affect the turbidity of location E.

In this case, the calculation unit 133 calculates the cumulative rainfall at the river mouth due to rainfall in inflow range A by summing the values of each divided inflow range multiplied by the time it takes for rainwater in each divided inflow range to flow into the river and reach the river mouth and the coefficient set for each divided inflow range. In this way, the information processing device 1 can calculate the cumulative rainfall at the river mouth taking into account the characteristics of the divided inflow ranges.

The determination unit 132 may determine whether the weather in the inflow range A and the turbidity at the location E satisfy the application conditions based on the turbidity at the river mouth. The application conditions include a second turbidity threshold, which is a threshold set to determine whether the turbidity at the location E exceeds a first turbidity threshold, which is a turbidity threshold, and indicates the boundary of the turbidity at the river mouth.

In this case, first, the acquisition unit 131 further acquires estuary turbidity information for identifying the turbidity of the estuary. For example, a sensor for measuring turbidity is installed at the estuary, and the acquisition unit 131 acquires estuary turbidity information from the sensor.

Then, if the turbidity at the river mouth exceeds the second turbidity threshold, the determination unit 132 determines that the weather in the inflow range A and the turbidity at the location E satisfy the application condition. On the other hand, if the turbidity at the river mouth falls below the second turbidity threshold, the determination unit 132 determines that the weather in the inflow range A and the turbidity at the location E do not satisfy the application condition. In this way, the information processing device 1 can improve the accuracy of identifying whether or not there is a causal relationship between the weather in the inflow range A and the deterioration of the water quality at the location E.

The determination unit 132 may determine whether the weather in the inflow range A and the turbidity at the location E satisfy the application conditions based on the flow speed at the river mouth. The application conditions include a flow speed threshold that is a threshold set to determine whether the water of the river C reaches the location E and indicates the boundary of the flow speed at the river mouth.

In this case, first, the acquisition unit 131 further acquires flow velocity information for identifying the flow velocity at the river mouth. For example, a sensor for measuring the flow velocity is installed at the river mouth, and the acquisition unit 131 acquires the flow velocity information from the sensor.

Then, if the flow velocity of the estuary exceeds the flow velocity threshold, the determination unit 132 determines that the weather in the inflow range A and the turbidity of the location E satisfy the application condition. On the other hand, if the flow velocity of the estuary identified by the flow velocity information is below the flow velocity threshold, the determination unit 132 determines that the weather in the inflow range A and the turbidity of the location E do not satisfy the application condition. In this way, the information processing device 1 can improve the accuracy of determining whether or not there is a causal relationship between the weather in the inflow range A and the deterioration of the water quality of the location E.

The determination unit 132 may determine whether the turbidity of the location satisfies the application condition based on the distribution of turbidity in the water area range from the river mouth to the location. Specifically, the acquisition unit 131 first acquires water area turbidity information corresponding to the water area range from the river mouth to the location E, and water area flow velocity information indicating the flow velocity in the water area range. The estimation unit 134 estimates the distribution of turbidity in the water area range based on the water area turbidity information and the water area flow velocity information. Then, the determination unit 132 determines whether the turbidity of the location E in the turbidity distribution estimated by the estimation unit 134 satisfies the application condition.

Figure 5 is a diagram showing a schematic representation of the distribution of turbidity in water area range B. Water area range B includes a number of divided water area ranges. For example, each divided water area range is provided with one or more sensors.

In the example shown in FIG. 5, inflow water R flowing in from river C extends from the river mouth to location E. In this case, the determination unit 132 determines that the increase in turbidity at location E is due to rainfall in the inflow range A, and determines that the turbidity at location E in the turbidity distribution satisfies the applicable condition.

On the other hand, for example, if the turbidity of location E exceeds the water body turbidity threshold but the inflow water R does not extend from the river mouth to location E, the determination unit 132 determines that the increase in turbidity at location E is not due to rainfall in inflow range A, and determines that the turbidity of location E in the turbidity distribution does not satisfy the applicable condition. In this way, the information processing device 1 can improve the accuracy of identifying whether or not there is a causal relationship between the weather in inflow range A and the deterioration of water quality at location E.

In the above, an example has been described in which the determination unit 132 determines whether or not there is a causal relationship between the weather in the inflow range A and the deterioration of the water quality at the location E, but this is not limiting. For example, the water in river C is colder than the water in the inflow water area W, so if a large amount of such cold water increases due to rainfall and flows into the inflow water area W, the water temperature at the location E will drop, which may affect the survival of the target organism. Therefore, the determination unit 132 may determine whether or not there is a causal relationship between the weather in the inflow range A and the drop in the water temperature at the location E.

The application conditions include a water temperature threshold value indicating the boundary of the water temperature at the location E, which is determined to determine whether or not the survival of the target organism is affected. In this case, the acquisition unit 131 first acquires water temperature information for identifying the water temperature at the location E. For example, a sensor for measuring the water temperature is installed at the location E, and the acquisition unit 131 acquires the water temperature information from the sensor.

Then, if the water temperature at the location E exceeds the water temperature threshold, the determination unit 132 further determines that the water temperature at the location E satisfies the application condition. On the other hand, if the water temperature at the location E falls below the water temperature threshold, the determination unit 132 determines that the water temperature at the location E does not satisfy the application condition. In this way, the information processing device 1 can compensate for damage to the target organism caused by rainfall in the inflow range A.

For example, an increase in turbidity at location E may lead to an increase in chlorophyll. The determination unit 132 may then determine whether or not there is a causal relationship between the weather in the inflow range A and the increase in chlorophyll at location E.

The application conditions include a chlorophyll threshold value indicating the boundary of the amount of chlorophyll at location E, which is determined to determine whether or not the survival of the target organism is affected. In this case, first, the acquisition unit 131 further acquires chlorophyll information for identifying the amount of chlorophyll at location E. For example, a sensor for measuring the amount of chlorophyll is installed at location E, and the acquisition unit 131 acquires the chlorophyll information from the sensor.

Then, if the amount of chlorophyll at location E exceeds the chlorophyll threshold, the determination unit 132 further determines that the amount of chlorophyll at location E satisfies the application condition. On the other hand, if the amount of chlorophyll at location E falls below the chlorophyll threshold, the determination unit 132 determines that the amount of chlorophyll at location E does not satisfy the application condition. In this way, the information processing device 1 can compensate for damage to the target organism caused by rainfall in the inflow range A.

When the determination unit 132 determines that the application conditions are met, the output unit 135 outputs application information indicating that the insurance is applied. The output unit 135 outputs the application information, for example, by displaying the application information on a display unit (not shown) provided in the information processing device 1. The output unit 135 may transmit the application information to a terminal used by the administrator of the insurance service, or may transmit the application information to a terminal used by the insured person.

[Processing of information processing device 1]
Next, a description will be given of the flow of processing by the information processing device 1. Fig. 6 is a flowchart showing the flow of processing by the information processing device 1. This flowchart starts when the acquisition unit 131 acquires water body turbidity information (S1).

The determination unit 132 determines whether the turbidity of the location E identified by the water area turbidity information exceeds the turbidity threshold (S2). If the determination unit 132 determines that the turbidity of the location E identified by the water area turbidity information does not exceed the turbidity threshold, that is, that the turbidity of the location E is below the turbidity threshold (NO in S2), the process ends.

On the other hand, if the determination unit 132 determines that the turbidity of the location E identified by the water body turbidity information exceeds the turbidity threshold (YES in S2), the acquisition unit 131 acquires weather information (S3). The calculation unit 133 calculates the cumulative rainfall at the river mouth due to rainfall in the inflow range based on the rainfall in the inflow range A identified by the weather information acquired by the acquisition unit 131 (S4).

The determination unit 132 determines whether the cumulative rainfall at the river mouth calculated by the calculation unit 133 exceeds the rainfall threshold (S5). If the determination unit 132 determines that the cumulative rainfall at the river mouth does not exceed the rainfall threshold, i.e., that the cumulative rainfall at the river mouth is below the rainfall threshold (NO in S5), the process ends. On the other hand, if the determination unit 132 determines that the cumulative rainfall at the river mouth exceeds the rainfall threshold (YES in S5), the output unit 135 outputs the application information (S6).

[Effects of this embodiment]
As described above, the information processing device 1 determines whether the weather in the inflow range A and the turbidity at the location E satisfy the application conditions based on the weather information and the water area turbidity information, and outputs the application information when it is determined that the application conditions are satisfied. In this way, the information processing device 1 can compensate for damage caused to the target organism by bad weather.

Furthermore, this invention will make it possible to contribute to Goal 9 of the United Nations' Sustainable Development Goals (SDGs), which is "Build resilient infrastructure, promote inclusive and sustainable industrialization, and promote innovation and infrastructure."

Although the present invention has been described above using embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments, and various modifications and changes are possible within the scope of the gist of the invention. For example, all or part of the device can be configured by distributing or integrating functionally or physically in any unit. In addition, new embodiments resulting from any combination of multiple embodiments are also included in the embodiments of the present invention. The effect of the new embodiment resulting from the combination also has the effect of the original embodiment.

REFERENCE SIGNS LIST 1 Information processing device 11 Communication unit 12 Storage unit 13 Control unit 131 Acquisition unit 132 Determination unit 133 Calculation unit 134 Estimation unit 135 Output unit

Claims (11)

a storage unit that stores information indicating a target organism that is the subject of insurance that compensates for damage caused to the organism inhabiting the water by rainfall, and application conditions for applying the insurance;
an acquisition unit that acquires weather information for identifying the weather in an inflow range defined as a range in which rainwater may flow into a river, and acquires water area turbidity information for identifying the turbidity of a location in an inflow water area into which the river water flows, when the weather in the inflow range identified by the acquired weather information satisfies a predetermined condition ;
a determination unit that determines whether or not the weather in the inflow range and the turbidity of the location satisfy the application condition based on the weather information and the water body turbidity information;
an output unit that outputs information indicating that the insurance is to be applied when the determination unit determines that the application condition is satisfied;
An information processing device having the above configuration. The application conditions include a turbidity threshold value indicating a boundary of the turbidity of the location determined to determine whether or not the target organism is affected in survival;
The determination unit determines that the weather in the inflow range and the turbidity of the location satisfy the application condition when the weather in the inflow range is rain and the turbidity of the location exceeds the turbidity threshold, and determines that the weather in the inflow range and the turbidity of the location do not satisfy the application condition when the weather in the inflow range is weather other than rain or the turbidity of the location is below the turbidity threshold.
The information processing device according to claim 1 . The application conditions include a rainfall threshold value that is set to determine whether or not the application conditions affect a change in turbidity at the location, the rainfall threshold value indicating a boundary of an accumulated rainfall amount at the river mouth between the river and the inflow water area;
The weather information includes a rainfall amount in the inflow range,
A calculation unit is further provided for calculating an accumulated rainfall amount at the river mouth due to the rainfall in the inflow range based on the rainfall amount in the inflow range,
the determination unit determines that the weather in the inflow range and the turbidity at the location satisfy the application condition when the accumulated rainfall at the river mouth calculated by the calculation unit exceeds the rainfall threshold and the turbidity at the location exceeds the turbidity threshold, and determines that the weather in the inflow range and the turbidity at the location do not satisfy the application condition when the accumulated rainfall at the river mouth calculated by the calculation unit falls below the rainfall threshold or the turbidity at the location falls below the turbidity threshold.
The information processing device according to claim 2 . The inflow range includes a plurality of divided inflow ranges,
A coefficient is set for each of the divided inflow ranges included in the inflow range,
the calculation unit calculates the cumulative rainfall at the river mouth due to rainfall in the inflow ranges by summing up the values of the divided inflow ranges multiplied by the time it takes for rainwater in the divided inflow ranges to flow into the river and reach the river mouth and the coefficient set for each divided inflow range.
The information processing device according to claim 3 . the application condition includes a second turbidity threshold that is a threshold set for determining whether or not the turbidity at the location exceeds a first turbidity threshold that is the turbidity threshold, and indicates a boundary of the turbidity at the river mouth;
The acquisition unit further acquires estuary turbidity information for identifying the turbidity of the estuary,
The determination unit further determines that the weather in the inflow range and the turbidity at the location satisfy the application condition when the turbidity at the river mouth exceeds the second turbidity threshold, and determines that the weather in the inflow range and the turbidity at the location do not satisfy the application condition when the turbidity at the river mouth falls below the second turbidity threshold.
5. The information processing device according to claim 3. the application condition includes a flow velocity threshold value that is a threshold value set for determining whether or not the water of the river reaches the location, and indicates a boundary of a flow velocity of the river mouth;
The acquisition unit further acquires flow velocity information for identifying a flow velocity of the river mouth,
The determination unit further determines that the weather in the inflow range and the turbidity at the location satisfy the application condition when the flow velocity of the river mouth exceeds the flow velocity threshold, and determines that the weather in the inflow range and the turbidity at the location do not satisfy the application condition when the flow velocity of the river mouth specified by the flow velocity information is below the flow velocity threshold.
The information processing device according to claim 5 . The acquisition unit acquires the water area turbidity information corresponding to a water area range from the river mouth to the location and water area flow velocity information indicating a flow velocity in the water area range,
The method further includes an estimation unit that estimates a turbidity distribution in the water area range based on the water area turbidity information and the water area flow velocity information,
the determination unit determines whether or not the turbidity at the location in the turbidity distribution estimated by the estimation unit satisfies the application condition.
The information processing device according to claim 3 . The application conditions include a water temperature threshold value indicating a boundary of the water temperature of the location determined for determining whether or not the target organism is affected in survival;
the determination unit determines that the water temperature at the location satisfies the application condition when the water temperature at the location exceeds the water temperature threshold, and determines that the water temperature at the location does not satisfy the application condition when the water temperature at the location is below the water temperature threshold.
The information processing device according to claim 1 . The acquisition unit acquires the water body turbidity information from a predetermined mobile object that collects the water body turbidity information while scanning the location when the weather in the inflow range specified by the acquired weather information satisfies a predetermined condition.
The information processing device according to claim 1 . The computer executes
acquiring weather information for identifying the weather in an inflow range defined as a range in which rainwater may flow into a river;
a step of acquiring water area turbidity information for identifying the turbidity of a location where a target organism that is the subject of insurance for compensating for damage caused to organisms living in water by rainfall in an inflowing water area into which water from the river flows exists when the weather in the inflow range identified by the acquired weather information satisfies a predetermined condition;
A step of determining whether or not the weather in the inflow range and the turbidity at the location satisfy an application condition for applying the insurance, based on the weather information and the water body turbidity information;
outputting information indicating that the insurance is to be applied when it is determined that the application condition is satisfied;
An information processing method comprising the steps of: Computer,
an acquisition unit that acquires weather information for identifying the weather in an inflow range defined as a range in which rainwater may flow into a river, and acquires water area turbidity information for identifying the turbidity of a location where a target organism that is the subject of insurance for compensating for damage caused to organisms living in water by rainfall in an inflow water area into which water from the river flows exists when the weather in the inflow range identified by the acquired weather information satisfies a predetermined condition;
a determination unit that determines whether or not the weather in the inflow range and the turbidity at the location satisfy an application condition for applying the insurance, based on the weather information and the water body turbidity information; and an output unit that outputs information indicating that the insurance is to be applied when the determination unit determines that the application condition is satisfied.
A program to function as a

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