JP2017167690A - Sensor installation support device, data processing device, sensor installation support method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To enable an appropriate installation location of a sensor to be known.SOLUTION: A sensor installation support device 100 comprises a safety rate calculation unit 110 and a presentation unit 120. The safety rate calculation unit 110 calculates a safety rate at a section obtained by dividing a slope face on the basis of the amount of water flow in the section estimated from precipitation corresponding to the section. The presentation unit 120 presents an installation location of a sensor according to the safety rate calculated by the safety rate calculation unit 110.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a sensor installation support device, a data processing device, a sensor installation support method, and a program.

  There is a need for measures against sediment-related disasters such as torrential rain. As a technique for preventing damage from sediment disasters, for example, there is a slope stability analysis technique used in soil mechanics. In addition, a technique for acquiring data necessary for analyzing the stability of a slope using a sensor installed on the slope is known. For example, Patent Document 1 discloses a technique in which measuring devices such as an extensometer, an inclinometer, a rain gauge, and a groundwater level meter are arranged on a slope, and a slope collapse safety factor is analyzed based on measurement data.

JP 2006-195650 A

  Patent Document 1 does not specifically describe where the above-described measuring device is disposed. In general, such a sensor is empirically or sensibly provided at a place where slope failure is likely to occur or regularly provided at predetermined intervals. However, such an installation method has a technical problem that the installation position of the sensor is not necessarily appropriate.

  One exemplary object of the present invention is to solve the aforementioned problems.

  The sensor installation support device according to the first aspect of the present invention includes a safety factor calculation unit that calculates a safety factor in an area based on the water flow rate of the area estimated from precipitation corresponding to the area where the slope is divided. And a presentation unit for presenting the installation position of the sensor according to the calculated safety factor.

  The data processing device according to the second aspect of the present invention includes a safety factor calculation unit that calculates a safety factor in the area based on the water flow rate of the area estimated from the precipitation corresponding to the area obtained by dividing the slope, And an output unit that outputs data according to the calculated safety factor.

  The sensor installation support method according to the third aspect of the present invention calculates the safety factor in the area based on the water flow rate of the area estimated from the precipitation corresponding to the area where the slope is divided, and the calculated The sensor installation position is presented according to the safety factor.

  The program according to the fourth aspect of the present invention is a program for calculating a safety factor in an area based on the water flow rate of the area estimated from precipitation corresponding to the area obtained by dividing the slope, and the calculation. And a process of presenting the installation position of the sensor according to the safety factor.

  According to the present invention, it is possible to know an appropriate installation position of a sensor.

FIG. 1 is a block diagram illustrating an example of the configuration of the sensor installation support apparatus according to the first embodiment. FIG. 2 is a flowchart illustrating an example of processing executed by the sensor installation support device according to the first embodiment. FIG. 3 is a block diagram illustrating a configuration of the sensor installation support apparatus according to the second embodiment. FIG. 4 is a diagram illustrating the mesh and the water flow direction of each mesh. FIG. 5 is a flowchart illustrating an example of processing executed by the sensor installation support apparatus according to the second embodiment. FIG. 6A is a diagram illustrating an example of an execution result of processing by the sensor installation support device according to the second embodiment. FIG. 6B is a diagram illustrating an example of an execution result of processing by the sensor installation support device according to the second embodiment. FIG. 6C is a diagram illustrating an example of an execution result of processing by the sensor installation support device according to the second embodiment. FIG. 7 is a diagram for explaining the function and effect of the second embodiment. FIG. 8 is a block diagram illustrating an example of a configuration of a sensor installation support system according to the third embodiment. FIG. 9 is a block diagram illustrating an example of a hardware configuration of the computer apparatus.

[First Embodiment]
FIG. 1 is a block diagram illustrating a configuration of a sensor installation support apparatus 100 according to an embodiment. The sensor installation support device 100 is an information processing device for supporting sensor installation on a slope. The sensor here is a sensor for acquiring data necessary for analysis of slope stability. The data acquired by the sensor is not particularly limited, but is, for example, the amount of moisture in the soil. The sensor installation support apparatus 100 includes a safety factor calculation unit 110 and a presentation unit 120.

  The safety factor calculation unit 110 calculates the safety factor of the slope. The safety factor here refers to the ratio of the sliding force (sliding force) to the slope and its resistance force, and is calculated by a predetermined stability analysis formula. There are various well-known equations for calculating the safety factor, such as the Ferenius method, the modified Ferrenius method, the Bishop method, and the Yanbu method. In addition to these stability analysis formulas, the safety factor calculation unit 110 includes a stability analysis formula proposed by Okimura et al. (1985), a stability analysis formula based on Nash (1987), and a stability analysis formula proposed by Taylor et al. ), The stability analysis formula (2012) proposed by Rossi et al. In general, the safety factor is a positive real number, and if it is “1.3” or less, the slope is unstable, and if it is less than “1.0”, it means that slope failure has theoretically occurred.

  The safety factor calculation unit 110 calculates a safety factor for each area into which the slope is divided. An area here is also called a division | segmentation slope, for example, is a square of 50m square. However, the shape and size of each area are not particularly limited. Further, the shape and size of each area are not necessarily the same.

  The safety factor calculation unit 110 calculates a safety factor in the area based on the water flow rate in the area estimated from the precipitation corresponding to each area. The precipitation here may be either an actual measurement value or a predicted value, or may be appropriate data prepared for simulation. Moreover, the same value may be used for precipitation in a plurality of nearby areas.

  The water flow rate here is the total amount of water flowing into or out of a certain area. The water flow rate in a certain area depends on the amount of inflow from the surrounding area and the amount of outflow to the other area, in addition to the precipitation in the area. In addition, the inflow and outflow of water may be affected by topography, geology, and vegetation.

  The presentation unit 120 presents the installation position of the sensor. Presentation here means making the user perceive information. Although the specific aspect of a presentation is not specifically limited, For example, it is perception by an image or an audio | voice. The presentation unit 120 includes an output device such as a display and a speaker, for example.

  The presenting unit 120 presents an appropriate position as a sensor installation position according to the safety factor for each area calculated by the safety factor calculating unit 110. In one aspect, the presentation unit 120 presents an area where the calculated safety factor is equal to or less than a predetermined threshold. In another aspect, the presentation unit 120 presents a predetermined number of areas in ascending order of the calculated safety factor. For example, when the number of sensors to be installed is determined to be n in advance, the presentation unit 120 presents n areas as sensor installation positions in order from the lowest safety factor.

  FIG. 2 is a flowchart showing processing executed by the sensor installation support apparatus 100. In step S101, the safety factor calculation unit 110 calculates a safety factor for each of the plurality of areas. For example, the safety factor calculation unit 110 acquires data indicating precipitation in each area, and calculates the safety factor of each area by estimating the water flow rate from the precipitation. Or the safety factor calculation part 110 may acquire the data which show the water flow rate estimated based on precipitation, and may calculate a safety factor based on this data. In this case, the estimation of the water flow rate based on precipitation may be executed by another device that is not the sensor installation support device 100.

  In step S102, the presentation unit 120 presents the sensor installation position based on the safety factor calculated by the safety factor calculation unit 110 in step S101. In one mode, presentation part 120 displays a map of the slope where a sensor is installed. In this case, the presentation unit 120 displays a map so that the installation position of the sensor can be identified. For example, the presentation unit 120 displays an area corresponding to the installation position of the sensor in a color different from other areas or blinks.

  As described above, the sensor installation support device 100 calculates the safety factor for each area where the slope is divided based on the water flow rate estimated from the precipitation, and installs the sensor according to the calculated safety factor. It has a configuration for presenting a position. According to this configuration, it is possible for the user to grasp a position where the safety factor that changes due to precipitation in the entire slope is relatively low. The user can install the sensor with reference to the installation position presented by the sensor installation support apparatus 100.

  In general, in order to analyze the stability of the slope with high accuracy, it is desirable that the number of sensors to be installed is larger. However, if the number of sensors is increased, the cost for installing the sensors increases in addition to the cost of the sensors themselves. That is, it can be said that the accuracy of analysis and the number of sensors are in a trade-off relationship.

  On the other hand, slopes where slope failures may occur are not uniform in topography, geology, vegetation, and the like. When the slope is divided into finer units (zones), the soil condition and angle (ie, the gradient) can vary from zone to zone. Therefore, the safety factor on the slope can also vary from region to region.

  In order to predict the occurrence of slope failure due to rainfall and use it for evacuation activities, it is necessary to detect signs of slope failure as soon as possible. Then, the installation position of the sensor that measures the data necessary for the stability analysis of the slope is a place where such signs can be detected earlier, that is, a place where the safety factor that changes due to rainfall etc. is relatively low It is better to be. If the sensor can be installed in such a place, it is possible to analyze the stability of the slope more effectively.

  Further, when the installation position of the sensor is determined empirically or regularly, there is no theoretical basis for the appropriateness of the installation position. On the other hand, according to the present embodiment, it is possible to quantitatively grasp a relatively dangerous place on the entire slope, so that the installation position is compared with the case where the sensor installation position is determined empirically or regularly. It can be said that there is a theoretical basis for the appropriateness of.

[Second Embodiment]
FIG. 3 is a block diagram illustrating a configuration of a sensor installation support apparatus 200 according to another embodiment. The sensor installation support apparatus 200 includes a simulator unit 210, a stability analysis unit 220, a maximum likelihood estimation unit 230, a position calculation unit 240, and a position presentation unit 250.

  In the present embodiment, the same terms as those described in the first embodiment are used in the same meaning as in the first embodiment unless otherwise defined or explained. Moreover, the component to which the same code | symbol as 1st Embodiment was attached | subjected has the structure similar to 1st Embodiment at least.

  The simulator unit 210 executes a simulation of data acquired by the sensor. The simulator unit 210 executes a simulation for a predetermined period according to a predetermined condition. In the present embodiment, it is assumed that the data acquired by the sensor is the amount of moisture in the soil. More specifically, the simulator unit 210 includes a water level calculation unit 211 and a soil moisture content calculation unit 212.

  The water level calculation unit 211 calculates the water level for each mesh of the slope where the sensor is installed. Here, the mesh refers to an area divided into a predetermined size (for example, a square of 50 m square). In the present embodiment, the water level calculation unit 211 acquires precipitation data indicating the precipitation of each mesh, and calculates the water level of each mesh based on a predetermined model. For example, the water level calculation unit 211 can calculate the water level of each mesh based on the distributed runoff model. As precipitation data, for example, in Japan, a short precipitation forecast provided by the Japan Meteorological Agency can be used.

  The distributed runoff model is a model used for flood flow analysis. In addition, the water level here is included in a solid when the soil layer thickness parameter set in advance in the distributed runoff model is regarded as the depth of each mesh and each mesh is regarded as a three-dimensional solid. This is a numerical value obtained by dividing the volume of water to be divided by the volume of the solid body.

  The water level calculation unit 211 may calculate the flow of water between the meshes using at least one of the topography, geology, and vegetation of each mesh, and may reflect the flow of water between the meshes. In one aspect, the water level calculation unit 211 determines a direction in which water flows (hereinafter also referred to as “water flow direction”) based on terrain data indicating the terrain (elevation difference or the like) of each mesh, and water in that direction. Calculate the flow rate. In this case, the water level calculation unit 211 calculates a waterfall line based on the terrain data, and determines a water flow direction based on the waterfall line. The water level calculation unit 211 can calculate the falling water line by, for example, calculating a directed line segment that is orthogonal to the contour line and goes in the direction of lower elevation.

  In the present embodiment, the water level calculation unit 211 sets the water flow direction to one of eight directions (north, northeast, east, southeast, south, southwest, west, northwest). Furthermore, the water level calculation unit 211 calculates the water flow rate in the water flow direction based on at least one of the gradient in the water flow direction, geology, and vegetation. However, the water flow direction is not necessarily limited to eight directions, and may be more or less than eight directions.

  FIG. 4 is a diagram illustrating the mesh and the water flow direction of each mesh. In this example, the shape of each mesh is a square, and the water flow direction is one of eight directions. The water flow direction is represented by an arrow in the mesh. As shown in FIG. 4, when the water flow direction is any one of the eight directions, it can be assumed that water flows in any of the eight meshes around one mesh.

  The water level calculation unit 211 may set an appropriate initial value for the water level of each mesh. The initial value of the water level may be estimated in advance from a soil sample on the slope where the sensor is installed, or may be calculated from precipitation before the simulation. The initial value of the water level may be set to the same value for all meshes.

  The soil moisture content calculation unit 212 calculates the soil moisture content for each mesh. The soil moisture content calculation unit 212 calculates the soil moisture content based on the water level of each mesh calculated by the water level calculation unit 211. For example, the soil moisture content calculation unit 212 may calculate the soil moisture content of the mesh by dividing the mesh water level calculated by the water level calculation unit 211 by a value indicating the soil layer thickness of the mesh. it can.

  The stability analysis unit 220 analyzes the stability of the slope. The stability analysis unit 220 analyzes the stability of the slope by calculating the safety factor of each mesh based on the soil moisture content of each mesh calculated by the simulator unit 210. More specifically, stability analysis unit 220 includes parameter calculation unit 221 and safety factor calculation unit 222.

  The parameter calculation unit 221 calculates parameters necessary for calculating the safety factor. The parameter calculation unit 221 calculates a parameter that becomes a variable in a predetermined stability analysis formula for each mesh based on the amount of moisture in the soil of each mesh. The parameter may vary depending on the stability analysis formula used to calculate the safety factor. Hereinafter, the parameters calculated by the parameter calculation unit 221 are also referred to as “soil parameters”.

The stability analysis formula of the present embodiment is a stability analysis formula based on the modified Ferrenius method, and is represented by the following formula (1). However,
Fs: safety factor c: adhesion strength of the lump l: length of the sliding surface of the slice (divided piece obtained by dividing the slope in the vertical direction) W: weight of the lump u: pore water pressure b: width of the slice α: inclination gradient angle φ : Internal friction angle.

  In the present embodiment, the parameter calculation unit 221 calculates the adhesive force c, the weight W, the pore water pressure u, and the internal friction angle φ. That is, the soil parameters of the present embodiment are these four variables. Note that the length l of the sliding surface, the width b of the slice, and the inclination gradient angle α are given in advance for each mesh.

  The safety factor calculation unit 222 calculates the safety factor using Expression (1). The safety factor calculation unit 222 calculates the safety factor Fs for each mesh by substituting the soil parameter calculated by the parameter calculation unit 221 into the equation (1). This calculation result represents the distribution of unstable points on the slope. Hereinafter, this distribution is also referred to as “unstable distribution”. The safety factor calculation unit 222 corresponds to an example of the safety factor calculation unit 110 in the first embodiment.

  The maximum likelihood estimation unit 230 performs maximum likelihood estimation by a predetermined method. Specifically, the maximum likelihood estimation unit 230 calculates the average of the mixed elements using the maximum likelihood estimation method. More specifically, the maximum likelihood estimation unit 230 includes a coordinate processing unit 231 and an average calculation unit 232.

  The coordinate processing unit 231 defines an appropriate two-dimensional coordinate system for the unstable distribution of the safety factor. The origin of this coordinate system may be a position suitable for calculation, and is not limited to a specific position. Similarly, the direction of the coordinate axis of the coordinate system is not limited to a specific direction. The coordinate processing unit 231 assigns coordinates based on the coordinate system described above to a predetermined position (for example, the center point of the mesh) of the mesh whose safety factor is equal to or less than a predetermined threshold (for example, “1.3”).

  The average calculation unit 232 performs maximum likelihood estimation on the assumption that the mesh given coordinates by the coordinate processing unit 231 is generated according to a certain mixed distribution. The mixing distribution used at this time has the same number of mixing elements as the number of sensors installed on the slope. Each mixing element is assumed to follow a probability distribution having an average concept as a parameter. As such a probability distribution, for example, a continuous probability distribution such as a normal distribution, a logistic distribution, or a Laplace distribution can be used. The average calculation unit 232 outputs coordinates corresponding to the average of the mixed elements.

  Note that the average calculator 232 may calculate the average by cluster analysis using a K-average method or the like. In this case, the average calculation unit 232 calculates the average of each cluster on the assumption that the number of clusters is the same as the number of sensors. The average of the clusters calculated in this way corresponds to the average of the mixed elements described above.

  The position calculation unit 240 calculates the position of the mesh corresponding to the coordinates output by the maximum likelihood estimation unit 230. In one aspect, the position calculation unit 240 identifies a mesh that includes the coordinates output by the maximum likelihood estimation unit 230. Alternatively, the position calculation unit 240 calculates the distance between the coordinates output by the maximum likelihood estimation unit 230 and a predetermined position of each mesh (for example, the center point of the mesh), and calculates the mesh with the shortest calculated distance. A mesh corresponding to the coordinates may be used.

  The position presentation unit 250 presents the mesh calculated by the position calculation unit 240. Specifically, the position presentation unit 250 outputs the mesh position calculated by the position calculation unit 240 in a format that the user can recognize. The position presented by the position presentation unit 250 is a recommended position as a sensor installation position. The position presentation unit 250 corresponds to an example of the presentation unit 120 in the first embodiment.

  FIG. 5 is a flowchart showing the process executed by the sensor installation support apparatus 200. For example, the sensor installation support apparatus 200 executes a series of processes shown in the figure according to a predetermined operation by the user. Alternatively, the sensor installation support apparatus 200 may execute a series of processes shown in FIG.

  In step S201, the water level calculation unit 211 calculates the water level of a mesh based on precipitation data of the mesh. In step S202, the soil moisture content calculation unit 212 calculates the mesh moisture content in the mesh based on the water level calculated in step S201. The simulator unit 210 sequentially executes the calculations in steps S201 and S202 for all the meshes constituting the slope.

  In step S203, the simulator unit 210 determines whether the moisture content in the soil has been calculated for all meshes constituting the slope. If there is a mesh for which the moisture content in the soil is not calculated (step S203: NO), the simulator unit 210 executes the processes of steps S201 and S202 for the mesh. On the other hand, when the moisture content in the soil is calculated for all meshes (step S203: YES), the simulator unit 210 ends the processes of steps S201 and S202.

  In step S204, the parameter calculation unit 221 calculates soil parameters based on the soil moisture content calculated in step S202. In step S205, the safety factor calculation unit 222 calculates the safety factor based on the soil parameter calculated in step S204. The stability analysis unit 220 sequentially executes the calculations in steps S204 and S205 for all the meshes constituting the slope.

  In step S206, the stability analysis unit 220 determines whether the safety factor has been calculated for all meshes constituting the slope. If there is a mesh whose safety factor has not been calculated (step S206: NO), the stability analysis unit 220 executes the processes of steps S204 and S205 for the mesh. On the other hand, when the safety factor is calculated for all meshes (step S206: YES), the stability analysis unit 220 ends the processes of steps S204 and S205. An unstable distribution is obtained by calculating the safety factor for all meshes.

  In step S207, the average calculator 232 calculates coordinates corresponding to the average of the mixed elements based on the unstable distribution generated by repeating the processes of steps S204 and S205. In step S208, the position calculation unit 240 identifies a mesh corresponding to the coordinates calculated in step S207. In step S209, the position presentation unit 250 presents the mesh specified in step S208 as the sensor installation position.

  In step S207, the average calculator 232 may calculate two (or more) coordinates included in one specific mesh. In such a case, the position calculation unit 240 may associate two coordinates with a specific mesh. In this case, the position presentation unit 250 presents information so as to recommend that two sensors be installed on a specific mesh. Alternatively, the position calculation unit 240 associates one of the calculated two coordinates with a specific mesh, and sets the other coordinate to a mesh having the shortest distance from the coordinate among the meshes around the specific mesh. You may associate.

  6A to 6C are diagrams illustrating an example of the execution result of processing by the sensor installation support apparatus 200. FIG. In this example, it is assumed that the number of installed sensors is “5”. FIG. 6A is a diagram showing a mesh whose safety factor is not more than a predetermined threshold value by hatching. FIG. 6B is a diagram showing the coordinates calculated by the average calculation unit 232 based on the unstable distribution shown in FIG. FIG. 6C is a diagram showing the installation position of the sensor specified based on the coordinates shown in FIG. 6B by hatching.

  As described above, the sensor installation support apparatus 200 has the same configuration as that of the sensor installation support apparatus 100 according to the first embodiment, and thus has the same effects as the sensor installation support apparatus 100. In addition, the sensor installation support apparatus 200 has a configuration in which a specific number of installation positions are specified based on a safety factor distribution (more specifically, a distribution of areas in which the safety factor is equal to or less than a predetermined threshold). According to this configuration, even when the number of sensors installed on the slope is determined in advance, it is possible to appropriately arrange the installation positions without concentrating the installation positions in a specific area.

  FIG. 7 is a diagram for explaining the function and effect of the present embodiment. FIG. 7 illustrates the safety factor of the mesh shown with hatching in FIG. 6A. In this example, for example, when the installation positions of the sensors are determined in order of increasing safety factor, the installation positions of the sensors are concentrated in the area A1. On the other hand, according to the present embodiment, it is possible to present the installation position as shown in FIG. 6C by the maximum likelihood estimation executed by the maximum likelihood estimation unit 230.

[Third Embodiment]
FIG. 8 is a block diagram showing a configuration of a sensor installation support system 300 according to still another embodiment. The sensor installation support system 300 includes a sensor installation support device 310 and a display device 320. The sensor installation support device 310 and the display device 320 are connected to each other by wire or wireless. The sensor installation support device 310 and the display device 320 may be connected via a network such as the Internet. The number of sensor installation support devices 310 and display devices 320 in the sensor installation support system 300 is not particularly limited.

  In the present embodiment, the same terms as those described in the above-described embodiment are used in the same meaning as in the above-described embodiment unless otherwise defined or explained. Moreover, the component to which the code | symbol same as embodiment mentioned above was attached | subjected has the structure similar to embodiment mentioned above at least.

  The sensor installation support apparatus 310 includes a safety factor calculation unit 311 and an output unit 312. The safety factor calculation unit 311 has the same configuration as the safety factor calculation unit 110 of the first embodiment or the simulator unit 210, the stability analysis unit 220, the maximum likelihood estimation unit 230, and the position calculation unit 240 of the second embodiment.

  The output unit 312 outputs information necessary for displaying information by the display device 320. In one aspect, the output unit 312 outputs coordinate data indicating the installation position calculated by the position calculation unit 240. In another aspect, the output unit 312 outputs image data indicating the installation position calculated by the position calculation unit 240 on a map. The output unit 312 may output the safety factor and coordinates of each mesh, and data used for calculating the safety factor of each mesh (precipitation, water level, soil moisture, gradient, inflow, The outflow amount etc.) may be output.

  The display device 320 displays an image corresponding to the information output from the sensor installation support device 310. The display device 320 includes, for example, a display element such as a liquid crystal element and its drive circuit. The display device 320 may be a personal computer or a smartphone. The display device 320 may include a storage device that stores various data. The display device 320 corresponds to an example of the presentation unit 120 of the first embodiment.

  The display device 320 may store and execute an application program for displaying the installation position of the sensor. This application program is, for example, a coordinate conversion function that converts coordinates described in the coordinate system defined by the sensor installation support device 310 into latitude and longitude, and a display that displays the installation position of the mesh and sensor superimposed on the map. It may have a function. Further, this application program may have a function of displaying the safety factor of each mesh, data used for calculation of the safety factor, and the like. By displaying the safety factor and the data used for the calculation of the safety factor, the user can know the basis for selecting the mesh to be presented as the sensor installation position.

  The sensor installation support system 300 has the same effects as those of the above-described embodiment. Further, the sensor installation support system 300 is configured separately from the sensor installation support device 310, so that it is not necessary to provide a function for calculating the safety factor in the display device 320 used by the user (end user). . The sensor installation support device 310 can also accept access from the plurality of display devices 320.

  Note that the output destination of information by the output unit 312 is not limited to the display device 320. The output unit 312 may be configured to output information to a recording medium that the sensor installation support apparatus 310 has or is detachable from the sensor installation support apparatus 310. The output unit 312 may be configured to output information to a plurality of devices.

[Modification]
The present disclosure is not limited to the first to third embodiments described above. This indication may include the form which applied the modification or application which those skilled in the art can grasp. For example, the present disclosure includes the modifications described below. In addition, the present disclosure may include a form in which matters described in the present specification are appropriately combined as necessary. For example, the matters described using a specific embodiment can be applied to other embodiments as long as no contradiction arises.

(Modification 1)
The sensor installation support apparatus 200 may change the process depending on whether or not the number of meshes whose safety factor is equal to or less than a predetermined threshold exceeds a predetermined number. For example, the sensor installation support apparatus 200 specifies the installation position based on the distribution of the safety factor using maximum likelihood estimation or the like only when the number of meshes whose safety factor is equal to or less than a predetermined threshold exceeds a predetermined number (see FIG. 5). ) May be executed. In this case, if the number of meshes whose safety factor is equal to or less than a predetermined threshold is equal to or less than a predetermined number, for example, the sensor installation support device 200 may select sensor installation positions in order of increasing safety factor. In this way, even when the number of meshes whose safety factor is equal to or less than a predetermined threshold is equal to or less than a predetermined number, the amount of calculation such as maximum likelihood estimation can be reduced compared to the case where the processing shown in FIG. 5 is executed. Is possible.

(Modification 2)
The sensor installation support apparatus 200 may not present the sensor installation position in mesh units. For example, instead of the mesh, the sensor installation support apparatus 200 may present the coordinates calculated in step S207, that is, the position indicated by a cross in FIG. 6B as the sensor installation position.

(Modification 3)
The specific hardware configuration of each device (sensor installation support devices 100, 200, 310, and display device 320) according to the present disclosure includes various variations and is not limited to a specific configuration. For example, each device may be realized using software, and may be configured to share various processes using a plurality of hardware.

  FIG. 9 is a block diagram illustrating an example of a hardware configuration of a computer device 400 that implements each device. The computer device 400 includes a CPU (Central Processing Unit) 401, a ROM (Read Only Memory) 402, a RAM (Random Access Memory) 403, a storage device 404, a drive device 405, a communication interface 406, and an input / output interface. 407. Each device according to the present disclosure may be realized by the configuration illustrated in FIG. 9 (or a part thereof).

  The CPU 401 uses the RAM 403 to execute the program 408. The program 408 may be stored in the ROM 402. The program 408 may be recorded on a recording medium 409 such as a memory card and read by the drive device 405, or may be transmitted from an external device via the network 410. The communication interface 406 exchanges data with an external device via the network 410. The input / output interface 407 exchanges data with peripheral devices (such as an input device and a display device). The communication interface 406 and the input / output interface 407 can function as means for acquiring or outputting data.

  In addition, the component of each apparatus may be comprised by the single circuit (processor etc.), and may be comprised by the combination of several circuits. The circuit here may be either dedicated or general purpose.

  The configuration described as a single device in the above-described embodiment may be distributed among a plurality of devices. For example, the sensor installation support device 100, 200, or 310 may be realized by a plurality of computer devices using cloud computing technology or the like.

DESCRIPTION OF SYMBOLS 100, 200, 310 Sensor installation assistance apparatus 110, 311 Safety factor calculation part 120 Presentation part 210 Simulator part 220 Stability analysis part 230 Maximum likelihood estimation part 240 Position calculation part 250 Position presentation part 300 Sensor installation assistance system 312 Output part 320 Display apparatus 400 computer equipment

Claims (10)

A safety factor calculation unit that calculates a safety factor in the area based on the water flow rate in the area estimated from precipitation corresponding to the area into which the slope is divided;
A sensor installation support apparatus comprising: a presentation unit that presents a sensor installation position according to the calculated safety factor. The sensor installation support apparatus according to claim 1, wherein the presenting unit presents the areas as the installation positions in order of increasing safety factor. The sensor installation support device according to claim 1, wherein the presenting unit presents the installation position based on a distribution of the safety factor on the slope when the number of the areas where the safety factor is equal to or less than a threshold exceeds a predetermined number. The presenting unit presents the areas as the installation positions in order of increasing safety factor when the number of the areas where the safety factor is less than or equal to a threshold is less than or equal to the threshold, and the safety factor is less than or equal to the threshold The sensor installation support apparatus according to claim 1, wherein when the number of areas exceeds the predetermined number, the installation position is presented based on the distribution of the safety factor on the slope. The said presentation part presents the said installation position identified using the maximum likelihood estimation method, when the said area where the said safety factor is below the said threshold value exceeds the said predetermined number. Sensor installation support device. The sensor according to claim 3 or 4, wherein the presenting unit presents the installation position specified using cluster analysis when the area where the safety factor is equal to or less than the threshold exceeds the predetermined number. Installation support device. The said safety factor calculation part calculates the said safety factor in the said area based on the water flow volume of the said area determined based on at least any one of the topography, geology, and vegetation of the said slope. The sensor installation support device according to any one of the above. A safety factor calculation unit that calculates a safety factor in the area based on the water flow rate in the area estimated from precipitation corresponding to the area into which the slope is divided;
An output unit that outputs data according to the calculated safety factor. Based on the water flow in the area estimated from the precipitation corresponding to the area where the slope was divided, calculate the safety factor in the area,
A sensor installation support method for presenting a sensor installation position according to the calculated safety factor. On the computer,
A process of calculating a safety factor in the area based on the water flow in the area estimated from precipitation corresponding to the area into which the slope is divided;
A program for executing a process of presenting a sensor installation position according to the calculated safety factor.

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