JP7375307B2 - Evacuation support equipment, evacuation support methods and programs - Google Patents

Description

The present invention relates to an evacuation support device, an evacuation support method, and a program, and particularly relates to an evacuation support device that supports disaster victims in evacuating.

In order to reduce damage caused by landslides, there is a technology that outputs warning information before a slope collapses. For example, the system described in Patent Document 1 calculates the ratio between the sliding force of soil on a slope that tries to fall due to gravity and the resistance force that resists the fall, based on real-time measured values of soil moisture content. Calculate a certain safety factor. Then, when the safety factor reaches a predetermined value, the system described in Patent Document 1 outputs caution information (for example, an alert).

The system described in Patent Document 2 predicts the water level at a future point in time after a predetermined time (buffer time) has elapsed from the present. Then, if the degree of risk corresponding to the predicted future water level exceeds the threshold, the device outputs caution information. This allows the device to alert the disaster victim a predetermined time before the risk level reaches the threshold, allowing the disaster victim sufficient time to evacuate.

JP2019-003641A Japanese Patent Application Publication No. 2016-065801

Users (disaster victims) have different characteristics (attributes) such as age and gender, and accordingly, the time required for evacuation preparation and movement differs for each user. For example, the average time it takes for victims to evacuate in the event of a landslide is estimated to be 1 hour for a healthy person, and up to 4 hours for the elderly or physically disabled. There is a difference of 3 hours. However, in Patent Document 1, the safety factor that is a trigger for outputting caution information is a fixed value. In Patent Document 2, the buffer time is a fixed value. Therefore, the user cannot start evacuation at a timing that is appropriate for him/her.

An object of the present invention is to provide caution information at a more appropriate timing for the user.

An evacuation support device according to one aspect of the present invention includes a safety factor calculation means that calculates a safety factor regarding a slope from the amount of precipitation, and determines a caution threshold value of the safety factor based on a buffer time according to a user's personal characteristics. and an output means for outputting caution information when the safety factor becomes equal to or less than the caution threshold.

An evacuation support method according to one aspect of the present invention calculates a safety factor regarding a slope from the amount of precipitation, determines a caution threshold for the safety factor based on a buffer time according to the personal characteristics of the user, and The method includes outputting caution information when the value becomes equal to or less than the caution threshold.

A program according to one aspect of the present invention calculates a safety factor regarding a slope from the amount of precipitation, determines a caution threshold for the safety factor based on a buffer time according to a user's personal characteristics, and The computer is caused to output caution information when the safety factor becomes equal to or less than the caution threshold.

According to the present invention, caution information can be provided at a more appropriate timing for the user.

1 is a block diagram showing the configuration of an evacuation support device according to Embodiment 1. FIG. It is a graph which shows an example of a time change of a safety factor. It is a graph which shows an example of a buffer time and an attention threshold value. It is a figure which shows a graph of the time change of a safety factor displayed on a display device, and an example of a caution threshold value. FIG. 7 is another diagram showing an example of a graph of a change in safety factor over time and an example of a caution threshold displayed on a display device, and is a diagram showing an example of caution information that is presented. 5 is a flowchart showing the flow of processing executed by the evacuation support device according to the first embodiment. FIG. 2 is a block diagram showing the configuration of an evacuation support device according to a second embodiment. FIG. 3 is a diagram illustrating an example of a screen that accepts input of a user's personal characteristics. FIG. 3 is a diagram illustrating an example of a function between a user's personal characteristics and buffer time. FIG. 3 is a block diagram showing the configuration of an evacuation support device according to a third embodiment. FIG. 3 is a diagram illustrating an example of a screen that accepts input of a user's personal characteristics. FIG. 3 is a diagram illustrating an example of a function between a user's evacuation route and buffer time. FIG. 3 is a block diagram of a hardware device according to a fourth embodiment.

[Embodiment 1]
The influence of rainfall differs depending on the type of soil that forms the slope (soil quality, soil moisture content, etc.). The evacuation support device 100 according to the present embodiment calculates a safety factor for each location by using a safety factor calculation formula according to the type of soil and information on the amount of precipitation.

In the first embodiment and subsequent embodiments, the safety factor is a value representing the ratio of the sliding force that causes the earth and sand to fall due to gravity to the resistance force that resists the fall.

Note that the constituent elements of the slope are not limited to only soil. For example, the slope may include concrete, mortar, tree root systems, etc.

(Evacuation support device 100)
FIG. 1 is a block diagram showing the configuration of an evacuation support device 100 according to the first embodiment. The evacuation support device 100 includes a safety factor calculation section 101, a caution threshold calculation section 102, and an output section 103.

The safety factor calculation unit 101 calculates the safety factor regarding the slope from the amount of precipitation. The safety factor calculation unit 101 is an example of a safety factor calculation means.

The caution threshold calculation unit 102 determines the caution threshold of the safety factor based on the buffer time according to the user's personal characteristics. The attention threshold calculation unit 102 is an example of attention threshold calculation means.

The buffer time is a preliminary evacuation time that is added according to the user's personal characteristics. The safety factor caution threshold is the safety factor at a time corresponding to the buffer time before the time when the safety factor becomes a predetermined threshold (for example, 1).

Buffer time is variable. In the first embodiment, the user can freely set the buffer time according to his or her personal characteristics.

The personal characteristics include at least one of the user's age and the means of transportation used by the user (eg, walking or driving). However, the user's personal characteristics are not limited to these.

The output unit 103 outputs caution information when the safety factor becomes equal to or less than the caution threshold. The output unit 103 is an example of an output means.

Below, details of the processes executed by each part of the evacuation support device 100 will be explained in order.

(Safety factor calculation unit 101)
The safety factor calculation unit 101 acquires information on the amount of soil moisture contained in the soil that forms the slope. Specifically, the safety factor calculation unit 101 may obtain measured values of the soil moisture content from a soil sensor (not shown) at predetermined time intervals (for example, every hour). The soil moisture content is, for example, volumetric moisture content or gravimetric moisture content.

Furthermore, the safety factor calculation unit 101 acquires data on the amount of precipitation in or near an area where there is a slope. For example, the safety factor calculation unit 101 acquires precipitation information provided by a public weather center at predetermined time intervals (for example, every hour).

Alternatively, the safety factor calculation unit 101 may obtain information on the amount of precipitation from a computer device of an external organization or business operator. For example, in Japan, the Japan Meteorological Agency announces the current and future precipitation amounts in mesh units of 1 km square across the country (short-term precipitation forecast). Therefore, the safety factor calculation unit 101 can obtain precipitation information from the Japan Meteorological Agency.

The safety factor calculation unit 101 calculates the amount of moisture in the soil based on the amount of precipitation using a predetermined precipitation amount-moisture amount relational expression. The precipitation-moisture relationship is a mathematical expression that expresses the relationship between precipitation and soil moisture. The relationship between precipitation and soil moisture differs depending on the type of soil. The details of the precipitation-moisture content relationship will be explained below.
(Precipitation-moisture relationship equation)
When the soil moisture content at time t is m _t and the amount of precipitation is p _t , the following equation (1) can be obtained based on the well-known tank model. Equation (1) is called the precipitation-moisture relationship equation. In equation (1), c _i is a coefficient less than 1 that varies depending on the type of soil. In Equation (1), time t may be not only between the past and the present, but may also be in the future. That is, equation (1) can be applied to calculate the soil moisture content m _t in the future (t>0).

f ( _pt , pt _-1 , pt _-2 ,..., _ptk ) in equation (1) is the _amount of precipitation pt, pt-1, pt-1, pt-1, pt-1, pt _-2 ,... This is a predetermined multivariable function with variables p _t-2 , ..., p _tk . Here, "t-1" and "t-2" represent one unit time before and two units time before time t, respectively. The length of the unit time is not particularly limited. n and k are arbitrary integers less than or equal to t.

By simplifying equation (1), the following equation (2) is obtained. Equation (2) is also called a precipitation-moisture relationship equation. Equation (2) represents the relationship between the soil moisture content m _t and precipitation amount p _t at any time t, and the soil moisture content m _t-1 at time t-1. In formula (2), F represents the hydraulic conductivity. The hydraulic conductivity F varies depending on the type of soil. Moreover, G indicates the water retention capacity of soil. Both the hydraulic conductivity F and the soil water retention capacity G are constant regardless of time. The hydraulic conductivity F and the soil water retention capacity G may be determined by a soil test or by referring to a database.

When the current time is 0, the safety factor calculation unit 101 measures the amount of precipitation p ₁ at future time 1 (hereinafter referred to as expected precipitation) and the amount of soil moisture m ₀ at current time 0. Based on this value, the soil moisture content m ₁ at time 1 one unit time later can be calculated according to equation (2). The safety factor calculation unit 101 can obtain information on the expected precipitation amount p ₁ from, for example, a weather forecast announced by a weather center.

Similarly, the safety factor calculation unit 101 calculates the predicted precipitation amount p _t (obtained from a weather center, etc.) at a future time t (>1) and the soil level at time t-1 according to equation (2). Based on the predicted value or the measured value of the moisture content m _t-1 , the soil moisture content m _t at a future time t can be calculated.

(safety ratio)
There are multiple definitions of the safety factor. In the following explanation, the safety factor based on the Fellenius method (also referred to as the simple division method or Swedish method) or the modified Fellenius method will be explained. However, in this embodiment, the safety factor is not limited to a specific type.

The safety factor Fs according to the Fellenius method can be expressed by the following equation (3). In equation (3), c, W, u, and φ are variables representing the cohesive force, weight, pore water pressure, and internal friction angle of the clod, respectively. Further, α represents the inclination angle of the slope. Further, l represents the length of the sliding surface of a divided piece (slice) obtained by dividing the slope in the vertical direction. The inclination angle α and the length l of the sliding surface are constants.

The safety factor Fs according to the modified Fellenius method can be expressed by the following equation (4). In equation (4), b represents the width of the slice. The slice width b is a constant.

In equation (3) or equation (4), the adhesive force c, the weight W, the pore water pressure u, and the internal friction angle φ can all be expressed as functions of the soil moisture content m. For example, in equation (3), the adhesive force c, weight W, pore water pressure u, and internal friction angle φ are expressed as functions c(m), W(m), u(m), and φ( m), the following formula (5) is obtained.

The functions c(m), W(m), u(m), and φ(m) depend on the soil moisture content m, and therefore may differ for each type of soil. The functions c(m), W(m), u(m), and φ(m) may be determined in advance based on the measured value of the soil moisture content, or may be estimated by simulation or the like.

By replacing m in formula (5) with m _t , the following formula (6) is obtained. The safety factor calculation unit 101 can calculate the safety factor Fs at a future time t (>0) according to equation (6).

The safety factor calculation section 101 transmits information on the safety factor Fs calculated in this way to the caution threshold calculation section 102 and the output section 103.

(Attention threshold calculation unit 102)
The caution threshold calculation unit 102 acquires information on the buffer time Δd input by the user (disaster victim). In the first embodiment, the user determines the buffer time himself according to his own personal characteristics. The user then inputs buffer time information into the evacuation support device 100. Here, the user may input buffer time information indirectly from his or her own terminal to the evacuation support device 100 via the network, or input buffer time information from an input device connected to the evacuation support device 100. may be input directly to the evacuation support device 100. Personal characteristics include, for example, the user's age, gender, chronic illness, injury, presence or absence of a companion, the means of transportation used by the user, or a combination thereof.

The caution threshold calculation unit 102 determines the safety factor caution threshold Fs_cau based on the input buffer time information. As will be described later, when the safety factor becomes equal to or less than the caution threshold Fs_cau, the output unit 103 outputs caution information advising the user to evacuate. Details of the method for calculating the caution threshold Fs_cau by the caution threshold calculation unit 102 will be described below.

(Calculation method of attention threshold Fs_cau)
A method for calculating the caution threshold Fs_cau by the caution threshold calculation unit 102 will be described with reference to FIGS. 2 and 3.

FIG. 2 is a graph showing changes in the safety factor Fs over time from a certain point in the past to the present (time 0). The bar graph in FIG. 2 shows observed precipitation in the past (that is, before time 0) and predicted precipitation in the future (that is, after time 0).

As shown in FIG. 2, the caution threshold calculation unit 102 first calculates the soil moisture content m _t at a future time t (>0) according to equation (1) or equation (2). Next, the caution threshold calculation unit 102 calculates the safety factor Fs(t) (referred to as the expected safety factor) at a future time t (>0) based on the soil moisture content m _t according to equation (6). calculate.

The caution threshold calculation unit 102 also calculates the time when the expected safety factor Fs(t) becomes the threshold value 1 (referred to as expected collapse time t _col ). Note that the threshold value may be determined based on any criteria. The threshold value may be a value different from 1 depending on the criterion.

As shown in FIG. 3, the caution threshold calculation unit 102 calculates the expected safety factor Fs, that is, the caution threshold Fs_cau at a time (referred to as alert time t _cau ) that is a buffer time Δd before the expected collapse time t _col . Here, there is a relationship of (buffer time; Δd)=(expected collapse time; t _col )−(alert time; t _cau ).

In this way, the caution threshold calculation unit 102 can obtain the caution threshold Fs_cau of the safety factor. The attention threshold calculation unit 102 transmits information about the calculated attention threshold Fs_cau to the output unit 103.

(Output section 103)
The output unit 103 acquires the safety factor Fs calculated by the safety factor calculation unit 101 and the caution threshold Fs_cau calculated by the caution threshold calculation unit 102. The output unit 103 generates output data including a graph representing a change in the safety factor Fs over time and a safety factor caution threshold Fs_cau. Then, the output unit 103 outputs the generated output data to a display device (for example, a display device connected to the evacuation support device 100 or a display unit of a user's terminal).

Further, the output unit 103 outputs caution information when the safety factor Fs becomes equal to or less than the caution threshold value Fs_cau. As described above, this caution information is for advising the user to evacuate.

(Example of output data)
FIG. 4 shows an example of output data output to a display device. In FIG. 4, the caution threshold value Fs_cau of the safety factor is shown in the graph showing the change in the safety factor Fs over time. In the graph, the right end of the solid line indicating the transition of the safety factor Fs represents the value of the safety factor at the current time 0. The further to the left of the solid line represents the value of the safety factor in the past.

FIG. 5 shows caution information output by the output unit 103 when the current safety factor Fs becomes equal to or less than the caution threshold Fs_cau. In FIG. 5, a warning message "Please evacuate" is displayed on the screen of the display device. This caution message corresponds to caution information. Alternatively, the output unit 103 may output an audio alert message "Please evacuate" to an audio device (not shown). Alternatively, the output unit 103 may output an alert message or other alert information to the terminal by transmitting an instruction signal to the terminal owned by the user (disaster victim).

(Processing flow)
With reference to FIG. 6, the flow of processing executed by the evacuation support device 100 according to the first embodiment will be described. FIG. 6 is a flowchart showing the flow of processing executed by the evacuation support device 100.

As shown in FIG. 6, the safety factor calculation unit 101 acquires information on predicted precipitation from the present (time 0) to a future time t (>0) from, for example, a computer device at a weather center (S101).

The safety factor calculation unit 101 uses equation (1) or equation (2) to calculate the future soil moisture content m _t based on the predicted precipitation from the present (time 0) to future time t. . Then, the safety factor calculation unit 101 uses equation (6) to calculate the expected safety factor Fs from the present to time t (S102).

The attention threshold calculation unit 102 acquires buffer time information input by the user (S103). The buffer time information includes information indicating a buffer time Δd according to the user's personal characteristics.

The caution threshold calculation unit 102 calculates the safety factor caution threshold FS_cau according to the buffer time Δd according to the procedure described above (S104).

The output unit 103 generates a graph of the safety factor Fs using the data of the safety factor Fs calculated by the safety factor calculation unit 101 from now to time t. Then, the output unit 103 outputs the generated graph of the safety factor Fs to the display device (S105).

The output unit 103 determines whether the current (time 0) safety factor Fs is less than or equal to the caution threshold Fs_cau (S106).

If the current safety factor Fs is not less than the caution threshold Fs_cau (No in S106), the flow returns to step S105. On the other hand, if the current safety factor Fs is less than or equal to the caution threshold Fs_cau (Yes in S106), the output unit 103 outputs caution information such as a caution message (see FIG. 5) (S107).

With this, the process executed by the evacuation support device 100 ends.

(Effects of this embodiment)
According to the configuration of this embodiment, the safety factor calculation unit 101 calculates the safety factor Fs regarding the slope from the amount of precipitation. The caution threshold calculation unit 102 determines the caution threshold Fs_cau of the safety factor Fs based on the buffer time Δd according to the user's personal characteristics. The output unit 103 outputs caution information when the safety factor Fs becomes equal to or less than the caution threshold Fs_cau. Therefore, since the buffer time Δd is determined according to the user's personal characteristics, it is possible to provide the caution information at a more appropriate timing for the user.

[Embodiment 2]
In the second embodiment, a configuration will be described in which a buffer time is set using personal characteristic information input by a user. As explained in the first embodiment, the buffer time is a preliminary time added to a predetermined reference value of evacuation time.

(Evacuation support device 200)
FIG. 7 is a block diagram showing the configuration of an evacuation support device 200 according to the second embodiment. The evacuation support device 100 includes a safety factor calculation section 101, a caution threshold calculation section 102, an output section 103, and a buffer time setting section 104.

The buffer time setting unit 104 receives input of the user's personal characteristics and sets a buffer time according to the user's personal characteristics. Buffer time setting section 104 is an example of buffer time setting means.

The configuration of the evacuation support device 200 according to the second embodiment is the same as the configuration of the evacuation support device 100 according to the first embodiment, except for the buffer time setting section 104. Therefore, description of the configuration other than the buffer time setting section 104 included in the evacuation support device 200 will be omitted in the second embodiment.

(Buffer time setting section 104)
The buffer time setting unit 104 receives input of personal characteristic information from the user (disaster victim). Personal characteristics include, for example, the user's age, gender, chronic illness, injury, presence or absence of a companion, the means of transportation used by the user, or a combination thereof.

The buffer time setting unit 104 generates data for a screen that accepts input of personal characteristic information from the user, and displays the generated screen on a display device. The display device may be a television, a monitor, or a display section of a terminal owned by the user.

FIG. 8 shows an example of a screen displayed on the display device by the buffer time setting unit 104. The screen shown in FIG. 8 shows two examples of the user's age and means of transportation as personal characteristic information regarding the user. However, the buffer time setting unit 104 may receive other personal characteristic information regarding the user other than these examples.

(Example of buffer time setting)
The buffer time setting unit 104 uses personal characteristic information received from the user (disaster victim) to set a buffer time according to the user's personal characteristics.

FIG. 9 is a function showing an example of buffer time depending on individual characteristics. In the function shown in FIG. 9, the horizontal axis is the user's age, and the vertical axis is the buffer time. The buffer time setting unit 104 sets the buffer time according to the criteria defined by the function. For example, assume that the user is 60 years old. In this case, the buffer time setting unit 104 sets the buffer time to 120 minutes based on the function shown in FIG. Also, assume that the user's age is 90 years old. In this case, the buffer time setting unit 104 sets the buffer time to 180 minutes based on the function shown in FIG.

The function shown in FIG. 9 is just one example of the criteria for setting the buffer time, and the buffer time setting unit 104 can set the buffer time according to the user's personal characteristics according to various criteria.

(Effects of this embodiment)
According to the configuration of this embodiment, the safety factor calculation unit 101 calculates the safety factor Fs regarding the slope from the amount of precipitation. The caution threshold calculation unit 102 determines the caution threshold Fs_cau of the safety factor Fs based on the buffer time Δd according to the user's personal characteristics. The output unit 103 outputs caution information when the safety factor Fs becomes equal to or less than the caution threshold Fs_cau. Further, the buffer time setting unit 104 receives input of the user's personal characteristics and sets a buffer time Δd according to the user's personal characteristics. Therefore, since the buffer time Δd is determined according to the user's personal characteristics, it is possible to provide the caution information at a more appropriate timing for the user.

[Embodiment 3]
In the third embodiment, a configuration will be described in which an evacuation route to be used by the user is designed based on the user's personal characteristics, and a buffer time is further set according to the personal characteristics and the evacuation route. In Embodiment 3, the evacuation route refers to a path of travel from the user's current location to the evacuation site.

(Evacuation support device 300)
FIG. 10 is a block diagram showing the configuration of an evacuation support device 300 according to the third embodiment. The evacuation support device 300 includes a safety factor calculation section 101, a caution threshold calculation section 102, an output section 103, a buffer time setting section 104, and an evacuation route design section 105.

The evacuation route design unit 105 designs an evacuation route for the user based on the user's personal characteristics. The evacuation route design unit 105 is an example of evacuation route design means.

The configuration of the evacuation support device 300 according to the third embodiment is the same as the configuration of the evacuation support device 200 according to the second embodiment, except for the evacuation route design section 105. However, the buffer time setting unit 104 according to the third embodiment sets the buffer time based not only on the user's personal characteristics but also on the evacuation route designed by the evacuation route design unit 105. In the third embodiment, only the configurations of the buffer time setting unit 104 and the evacuation route design unit 105 included in the evacuation support device 300 will be described.

(Example of evacuation route design)
In the third embodiment, not only the buffer time setting unit 104 but also the evacuation route design unit 105 receives input of personal characteristic information from the user (disaster victim). The evacuation route design unit 105 uses the personal characteristic information received from the user to design an evacuation route for each user according to the personal characteristics. Here, the personal characteristics include, for example, the user's age, gender, chronic illness, injury, presence or absence of a companion, the means of transportation used by the user, or a combination thereof.

Specifically, the evacuation route design unit 105 designs an evacuation route to an evacuation site using the user's current location as a starting point. Furthermore, the evacuation route design unit 105 designs an evacuation route that allows the user to move smoothly to the evacuation site, depending on the user's personal characteristics. For example, the evacuation route design unit 105 designs an appropriate evacuation route depending on the user's age, whether the user has a chronic disease or injury, and the means of transportation (for example, walking or driving). In addition, the evacuation route design unit 105 can set evacuation routes according to various conditions. Evacuation route design section 105 outputs information about the designed evacuation route to buffer time setting section 104 .

FIG. 11 is a diagram showing an example of an evacuation route according to the user's personal characteristics. The evacuation route design unit 105 acquires map data including the user's current location and surroundings from a database or online. The evacuation route design unit 105 superimposes an evacuation route according to the user's personal characteristics on the acquired map. The evacuation route design unit 105 transmits the map data generated in this way to the output unit 103, and causes the output unit 103 to output it to a display device or the like.

The user can check the evacuation route by referring to the map displayed on the display device.

(Example of buffer time setting)
The buffer time setting unit 104 acquires evacuation route information from the evacuation route design unit 105. Further, the buffer time setting unit 104 receives input of personal characteristic information from the user (disaster victim), similarly to the second embodiment.

The buffer time setting unit 104 uses the personal characteristic information received from the user (disaster victim) to set a buffer time for each user according to the personal characteristic. Furthermore, in the third embodiment, the buffer time setting unit 104 sets the buffer time according to the user's evacuation route. For example, the buffer time setting unit 104 may weight and add a buffer time according to the user's personal characteristics and a buffer time according to the distance of the user's evacuation route.

FIG. 12 is a function showing an example of buffer time depending on the evacuation route. In the function shown in FIG. 12, the horizontal axis represents the distance of the evacuation route, and the vertical axis represents the buffer time. The buffer time setting unit 104 sets the buffer time according to the criteria defined by the function shown in FIG. For example, assume that the distance of the evacuation route is 2 km. In this case, the buffer time setting unit 104 sets the buffer time to 120 minutes based on the function shown in FIG. Also, assume that the distance of the evacuation route is 5 km. In this case, the buffer time setting unit 104 sets the buffer time to 180 minutes based on the function shown in FIG. Alternatively, although not shown, the buffer time setting unit 104 may use a buffer time multiplier depending on the evacuation route. In this case, a multiplier depending on the distance of the user's evacuation route may be added to the buffer time depending on the user's personal characteristics.

FIG. 12 is just one example of criteria for setting buffer time, and buffer time setting unit 104 can set buffer time according to the user's personal characteristics according to various criteria.

(Effects of this embodiment)
According to the configuration of this embodiment, the safety factor calculation unit 101 calculates the safety factor Fs regarding the slope from the amount of precipitation. The caution threshold calculation unit 102 determines the caution threshold Fs_cau of the safety factor Fs based on the buffer time Δd according to the user's personal characteristics. The output unit 103 outputs caution information when the safety factor Fs becomes equal to or less than the caution threshold Fs_cau. Further, the evacuation route design unit 105 designs an evacuation route for the user based on the user's personal characteristics. The buffer time setting unit 104 sets a buffer time Δd according to the evacuation route designed by the evacuation route design unit 105 and the user's personal characteristics.

Therefore, since the buffer time Δd is determined according to the user's personal characteristics and evacuation route, it is possible to provide the caution information at a more appropriate timing for the user.

[Modified example]
The invention is not limited to the embodiments described above. The present invention can apply various changes to the above-described embodiments that can be understood by those skilled in the art. For example, the present invention can also be implemented in the following modified examples. Further, the present invention may be implemented by combining a plurality of modified examples or by replacing a part of the configuration of the embodiment with the configuration of another embodiment.

(1) Modification example 1
The evacuation support devices 100 to 300 according to the first to third embodiments may calculate the safety factor for a plurality of points. In this case, the evacuation support devices 100 to 300 calculate the relational expression between soil moisture content and rainfall amount for each of the plurality of points, and calculate the safety factor for each of these points. Since the expected amount of precipitation may also differ for each of a plurality of points, the evacuation support devices 100 to 300 may calculate the difference in soil moisture content and the error in the safety factor for a plurality of points. Further, when at least one safety factor among the safety factors at a plurality of points reaches a caution threshold value, the output unit 103 of the evacuation support devices 100 to 300 may output caution information. Alternatively, the evacuation support devices 100 to 300 may comprehensively evaluate the determination results at multiple locations. For example, the output unit 103 of the evacuation support devices 100 to 300 may output caution information when half or more of the monitored locations exceed a caution threshold.

(2) Modification 2
The definition of the safety factor in the first to third embodiments is not limited to a specific method. As the safety factor, in addition to the Fellenius method and modified Fellenius method, Bishop's method and Yanbu's method can also be applied. These safety factors can also be expressed as a function of the soil moisture content.

(3) Modification example 3
In the first to third embodiments, the index indicating the safety of the slope is not limited to the safety factor. Further, the numerical value representing the moisture state of the slope is not limited to the soil moisture content. For example, the amount of water in the soil has a correlation with the attenuation rate of vibration waveforms in the soil. Therefore, if the correlation between soil moisture content and attenuation rate can be determined, it becomes possible to describe the safety factor as a function of the attenuation rate.

[Embodiment 4]
Embodiment 4 will be described below with reference to FIG. 13.

(About hardware configuration)
Each component of the evacuation support apparatuses 100 to 300 described in the first to third embodiments represents a functional unit block. Some or all of these components are realized by an information processing device 900 as shown in FIG. 13, for example. FIG. 13 is a block diagram showing an example of the hardware configuration of the information processing device 900.

As shown in FIG. 13, the information processing device 900 includes the following configuration, as an example.

・CPU (Central Processing Unit) 901
・ROM (Read Only Memory) 902
・RAM (Random Access Memory) 903
・Program 904 loaded into RAM 903
- Storage device 905 that stores the program 904
- A drive device 907 that reads and writes the recording medium 906
・Communication interface 908 connected to communication network 909
・I/O interface 910 that inputs and outputs data
・Bus 911 that connects each component

Each component of the evacuation support apparatuses 100 to 300 described in the first to third embodiments is realized by the CPU 901 reading and executing a program 904 that realizes these functions. A program 904 that implements the functions of each component is stored in advance in, for example, a storage device 905 or ROM 902, and is loaded into RAM 903 and executed by CPU 901 as needed. Note that the program 904 may be supplied to the CPU 901 via the communication network 909, or may be stored in the recording medium 906 in advance, and the drive device 907 may read the program and supply it to the CPU 901.

(Effects of this embodiment)
According to the configuration of the fourth embodiment, the evacuation support devices 100 to 300 described in the first to third embodiments are realized as hardware. Therefore, the same effects as those described in the first to third embodiments can be achieved.

100 Evacuation support device 101 Safety factor calculation unit 102 Caution threshold calculation unit 103 Output unit 104 Buffer time setting unit 105 Evacuation route design unit 200 Evacuation support device 300 Evacuation support device

Claims (7)

a safety factor calculation means for calculating a safety factor regarding a slope from the amount of precipitation;
Attention threshold calculation means for determining a caution threshold for the safety factor based on the time required for a user to evacuate ;
and output means for outputting caution information when the safety factor becomes equal to or less than the caution threshold ,
The time required for the user to evacuate is set according to the user's personal characteristics,
The personal characteristics of the user include a means of transportation used by the user;
Evacuation support equipment. The evacuation support device according to claim 1, further comprising a setting unit for setting the time required for the user to evacuate . further comprising an evacuation route design means for designing an evacuation route to be used by the user based on the user's personal characteristics,
The evacuation support device according to claim 2, wherein the setting means sets the time required for the user to evacuate according to the user's personal characteristics and the evacuation route. The personal characteristics of the user further include whether there are other users who evacuate with the user.
The evacuation support device according to any one of claims 1 to 3, characterized in that: 5. The caution threshold of the safety factor is the value of the safety factor at a time before the time required for the user to evacuate from the time when the safety factor becomes a predetermined threshold. The evacuation support device according to any one of the items. From the amount of precipitation, calculate the safety factor for the slope,
determining a caution threshold for the safety factor based on the time required for the user to evacuate ;
outputting caution information when the safety factor becomes equal to or less than the caution threshold ;
The time required for the user to evacuate is set according to the user's personal characteristics,
The personal characteristics of the user include a means of transportation used by the user;
Evacuation support methods. Calculating the safety factor for the slope from the amount of precipitation;
determining a caution threshold for the safety factor based on the time required for the user to evacuate ;
A program for causing a computer to output caution information when the safety factor becomes equal to or less than the caution threshold,
The time required for the user to evacuate is set according to the user's personal characteristics,
The personal characteristics of the user include a means of transportation used by the user;
program.

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