JP2024007101A - Information processing device, information processing method, and program - Google Patents

Abstract

[Problem] Estimating the presence or absence of contaminated soil at the planning stage. [Solution] A storage unit stores geological data indicating the depth distribution of geological divisions for each survey point and contaminated soil data indicating the presence of contaminated soil for each geological division, and a geological division detection unit refers to the geological data. Then, a plurality of survey points are selected based on the distance from the planned site having a work plan, and a geological classification common to the selected survey points is detected, and the contaminated soil estimation unit refers to the contaminated soil data and determines the detected The presence of the contaminated soil at the planned location is estimated based on the geological classification determined. [Selection diagram] Figure 1

Description

Embodiments of the present application relate to an information processing device, an information processing method, and a program.

Generally, when constructing a new building, construction work is sometimes performed to dig the ground in order to install a foundation. This kind of work is called root cutting work. During root cutting work, it is customary to carry the excavated soil off-site. Therefore, it is necessary to conduct a soil survey in advance to determine the presence or absence of naturally occurring contamination, in accordance with regulations such as residual soil ordinances at the destination. If the investigation reveals that there is naturally occurring contamination in the ground, the contaminated soil will not be allowed to be removed as is. In that case, treatment at a contaminated soil treatment facility is required, which is expensive. Naturally derived contamination includes, for example, the inclusion of heavy metals such as arsenic.

Unlike anthropogenic pollution, which tends to occur at the surface of the earth, naturally occurring pollution can exist several meters to several tens of meters below the earth's surface. Therefore, boring surveys were required to determine whether there was natural contamination. Particularly in large-scale new construction projects, the amount of soil generated can reach hundreds of thousands of ^cubic meters. If there is naturally occurring contamination in the soil, treatment costs will be enormous, and this may affect not only construction but also subsequent business plans.
Furthermore, in urban areas, new construction work is often planned in situations where buildings actually exist. On the other hand, it is not practical to conduct a soil survey that involves excavation using a boring machine or the like on the site of a building in use. Therefore, it is difficult to grasp the presence or absence of natural contamination, the amount of contaminated soil, and treatment costs at the new construction planning stage.

For example, in Tokyo, cases have been reported in which naturally occurring contamination from clay and sand in the Yurakucho layer has been detected. The ``Yurakucho Formation'' is a low-lying alluvial layer formed under the influence of transgression and buried topography, and has a complex spatial distribution. The presence or absence of the "Yurakucho Formation" within the scope and depth of the new construction plan is determined using multiple pieces of information, including borehole logs published by local governments and other public institutions, literature on geological stratigraphy, and the results of soil surveys in the surrounding area. It is necessary to make a comprehensive judgment by using Such judgment is difficult for business operators and constructors who lack geological knowledge and experience in soil investigation.

Japanese Patent Application Publication No. 2002-133391 Japanese Patent Application Publication No. 2000-2769

Shinichi Sugitani, Natsumi Fujii, and 3 others, "Study on improving the accuracy of soil contamination risk assessment using GIS", 25th Research Meeting on Groundwater/Soil Contamination and Prevention Measures, Society for Waste and Resource Recycling, etc., S5 -18, October 8, 2019 Junji Shinie, Atsushi Tanase, Katsuzo Akinaga, “Construction of soil contamination related database using GIS”, Mie Environmental Protection Research Institute Annual Report No. 13 (Volume No. 56), pp. 99-106, 2011

Boring surveys (geological surveys) that do not involve soil surveys are carried out for the purpose of designing buildings, and are carried out every time a building is constructed, and a relatively large amount of boring logs have been accumulated as the results of these surveys. Despite this, it is difficult to say that existing borehole logs are being effectively utilized for estimating natural contamination. The reason for this is that in the past, many of the documents were not digitized and were handwritten and paper-based. Therefore, the format is not unified. For example, soil names and symbols indicating the same soil quality may differ depending on the person who judges the boring core.

In this regard, Non-Patent Document 1 describes creating a database using a histogram of the distribution of strata in which the presence of naturally derived contamination is presumed using a Geographic Information System (GIS). Non-Patent Document 2 describes a system that uses the Mie Prefecture Simple GIS (M-GIS) to aggregate and share existing survey results for each 1 km mesh.
Patent Document 1 discloses a neural system that is trained to input teacher input patterns created based on sample drilling data and output teacher output patterns for teaching geological classifications corresponding to each input pattern. This document describes a stratum discrimination method that performs stratum discrimination based on the output pattern output from the output layer when an input pattern created based on drilling data is input to the input layer of the network. However, these systems cannot be used immediately for new construction planning unless the survey results of planning points related to new construction planning are included.

Patent Document 2 describes nondestructively detecting distribution information regarding physical property values (geology) inside the ground (geological strata), creating a fuzzy soft map for each geological classification, and combining the distribution information and soft map data in a hierarchical manner. It describes a method for obtaining a geological map by defuzzifying fuzzy geological map output by performing neural network processing. However, the method described in Patent Document 2 does not take into account the presence of contaminated soil.

The information processing device according to the first aspect includes: a storage unit that stores geological data indicating the depth distribution of geological divisions for each survey point; and contaminated soil data indicating the presence of contaminated soil for each geological division; and a storage unit that stores the geological data. a geological classification detection unit that refers to and selects a plurality of survey points based on the distance from a planned point having a work plan and detects a geological classification common to the selected survey points; and a contaminated soil estimating unit that estimates the presence of the contaminated soil at the planned location based on the detected geological classification.

An information processing method according to a second aspect is provided in an information processing apparatus including a storage unit that stores geological data indicating the depth distribution of geological divisions for each survey point and contaminated soil data indicating the presence of contaminated soil for each geological division. The method includes a first step in which the information processing device refers to the geological data and selects a plurality of survey points based on distance from a planned site having a work plan; A second step of detecting a geological classification, and a third step of referring to the contaminated soil data and estimating the presence of the contaminated soil at the planned location based on the detected geological classification.

According to this embodiment, the possibility of the presence or absence of contaminated soil can be estimated at the planning stage.

1 is a schematic block diagram showing an example of a functional configuration of an information processing system according to an embodiment. FIG. 1 is a schematic block diagram showing an example of a hardware configuration of an information processing device according to an embodiment. FIG. FIG. 3 is a diagram illustrating depth distribution information according to the present embodiment. FIG. 3 is a diagram illustrating geological survey results according to the present embodiment. FIG. 3 is a diagram illustrating contaminated soil data according to the present embodiment. (Presence rate of soil contamination) It is a figure showing an example of estimation of contaminated soil at a planning point. It is a flow chart for explaining an example of contaminated soil estimation processing concerning this embodiment.

(System overview)
Embodiments of the present application will be described below with reference to the drawings. FIG. 1 is a schematic block diagram showing an example of the functional configuration of an information processing system 1 according to the present embodiment.
The information processing system 1 includes an information processing device 10, an operation input section 20, a data input section 30, an image input section 40, and a display section 50. The information processing device 10 is connected to an operation input section 20, a data input section 30, an image input section 40, and a display section 50 by wireless or wire so that various data can be input and output.

The information processing device 10 refers to geological data indicating the depth distribution of geological divisions for each survey point where the geological survey was conducted from the column map, and selects a plurality of survey points based on the distance from the planned site having the work plan. and detect common geological divisions at the selected survey points. The information processing device 10 refers to contaminated soil data indicating the presence of contaminated soil for each geological classification from the soil survey results, and estimates the presence of contaminated soil at the selected planning point based on the detected geological classification. The information processing device 10 may be a dedicated device for estimating the presence of contaminated soil, formulating a work plan, etc., or may be a general-purpose information processing device such as a personal computer (PC), a server device, a tablet terminal device, etc. It may be a device.

The operation input unit 20 receives a user's operation and generates an operation signal according to the received operation. The operation input unit 20 outputs the generated operation signal to the information processing device 10. The operation input unit 20 may be a general-purpose input device such as a mouse, a keyboard, or a touch sensor, or may be a dedicated device such as a button, lever, or knob.
The data input unit 30 connects to other devices by wire or wirelessly, inputs various data, and outputs the input data to the information processing device 10. The data input unit 30 may be connected via a communication network. The data input unit 30 includes, for example, one or both of an input interface and a communication interface.

The image input unit 40 outputs image data acquired from another device or by itself to the information processing device 10. The image input unit 40 may be, for example, a camera, a scanner, or the like.
The display unit 50 visually displays various types of information based on display data input from the information processing device. The display unit 50 is, for example, a display device. The display section 50 may be a liquid crystal display, an organic electroluminescent display, or the like.

(Functional configuration example)
Next, an example of the functional configuration of the information processing device 10 according to the present embodiment will be described. The information processing device 10 includes a control section 110 and a storage section 130. The control unit 110 performs processing to perform the functions of the information processing device 10 and controls the processing. The control unit 110 includes an input processing unit 112, a geological classification detection unit 114, a contaminated soil estimation unit 116, an output processing unit 118, and a geological information management unit 120. The geological information management section 120 includes a geological recognition section 122, a geological classification determination section 124, and a geological information updating section 126.

The input processing unit 112 controls input of data from various input devices connected to the information processing apparatus 10 . The input processing unit 112 acquires various types of information instructed by operation signals input from the operation input unit 20, for example. More specifically, the input processing unit 112 acquires or edits work plan information based on the input operation signal, and outputs planning point information included in the obtained work plan information to the geological division detection unit 114. . The input processing unit 112 may output display data indicating a work plan information input screen to the display unit 50, and may receive operation signals related to acquisition or editing of work plan information from the operation input unit 20.
Note that the planned location information may include excavation area and excavation depth. In that case, the input processing unit 112 further outputs planned point information including the excavation area and excavation depth to the geological division detection unit 114 and the contaminated soil estimation unit 116.

The input processing unit 112 may control the input of input data from the data input unit 30. More specifically, the input processing unit 112 inputs pollutant information that is the result of the soil investigation as the result of the soil investigation, and outputs the input pollutant information to the geological information updating unit 126. The input processing unit 112 outputs display data indicating a generated soil survey information input screen to the display unit 50, and inputs the input data from the data input unit 30 based on an instruction using an operation signal input from the operation input unit 20. Acquisition may be controlled.

The input processing section 112 may input image data from the image input section 40 . More specifically, the input processing unit 112 causes the image input unit 40 to photograph or read a histogram that is the result of a geological survey, and outputs image data representing the photographed or read log to the geological information management unit 120. do. The input processing unit 112 outputs display data indicating a geological survey information input screen to the display unit 50, and acquires image data from the image input unit 40 based on an instruction using an operation signal input from the operation input unit 20. may be controlled.

The geological division detection unit 114 refers to the geological data stored in the storage unit 130 and identifies at least three survey points that are closest to the planned point indicated by the planned point information input from the operation input unit 20. The geological division detection unit 114 extracts depth distribution information for each identified survey point, and specifies the geological division for each elevation within the excavation depth among the elevations indicated by the extracted depth distribution information. The geological classification detection unit 114 detects a common geological classification between the identified survey points. The excavation depth may be set in advance in the geological division detection unit 114, or the excavation depth notified from the planned point information input from the input processing unit 112 may be used to identify the geological division.
Geological division detection section 114 outputs common geological division information indicating the detected common geological division to contaminated soil estimation section 116.

The contaminated soil estimation unit 116 estimates the presence of contaminated soil from the geological classification indicated in the common geological classification information input from the geological classification detection unit 114. Here, the contaminated soil estimating unit 116 refers to contaminated soil data based on the soil survey results and determines the presence rate of pollutants corresponding to the geological classification specified from the common geological classification information. Contaminated soil estimating section 116 outputs contaminant information indicating the estimated existence rate of contaminated soil to output processing section 118 . A display screen showing the presence rate of contaminated soil is displayed on the display unit 50.

The contaminated soil estimating unit 116 refers to the contaminated soil data stored in the storage unit 130 and identifies the altitude and presence of pollutants in each geological division. The contaminated soil estimating unit 116 can estimate whether there is a possibility of excavating contaminated soil based on the presence or absence of geological divisions included in the range of excavation depth from the ground surface. Contaminated soil estimating section 116 may output contaminant information indicating whether or not there is a possibility of excavating contaminated soil and/or the existence rate of contaminated soil to output processing section 118 . The display unit 50 displays a display screen that indicates the presence or absence of contaminants and/or the presence rate of contaminated soil.

When excavation of contaminated soil is estimated, the contaminated soil estimating unit 116 refers to the contaminated soil data and specifies the layer thickness of a geological section that is included in the range of excavation depth and that contains pollutants. The contaminated soil estimating unit 116 may estimate the product of the identified layer thickness, the excavation area indicated by the planned point information from the input processing unit 112, and the existence rate as the amount of contaminated soil. The contaminated soil estimating unit 116 may include information indicating the estimated amount of contaminated soil in the pollutant information and output it to the output processing unit 118. A display screen showing the amount of contaminated soil is displayed on the display unit 50.

The output processing unit 118 performs processing related to various information output from the control unit 110, including screen display. For example, the output processing unit 118 generates a display screen that includes the contaminant information input from the contaminated soil estimating unit 116 as display information, and outputs display data indicating the generated display screen to the display unit 50. A display screen showing contaminant information is displayed on the display unit 50.

The geological information management unit 120 manages geological information obtained through various surveys. In the geological information management unit 120, geological data is updated in accordance with the acquisition of columnar maps through geological surveys, and contaminated soil data is updated in accordance with the acquisition of soil survey results. The geological information management section 120 includes a geological recognition section 122, a geological classification determination section 124, and a geological information updating section 126.

Image data representing a histogram is input to the geological recognition unit 122 from the input processing unit 112 . The histogram is the result of a geological survey. The geological recognition unit 122 performs image recognition processing on input image data using a known AI (Artificial Intelligence) model, and recognizes geological information for each depth. More specifically, the geological recognition unit 122 determines, for example, soil quality, color tone, and N value (standard penetration test value) as geological information. The soil quality is specified using, for example, a soil quality symbol and a soil quality name. The N value is a type of index value of the strength of the ground obtained through geological surveys. The N value corresponds to the number of strikes required to penetrate a sampler inserted into the ground by 30 cm. The geological recognition unit 122 outputs geological information recognized for each depth to the geological classification determining unit 124.

The geological classification determination unit 124 determines the geological classification, the stratigraphy, and the layer thickness of the geological classification based on the geological information for each depth inputted from the geological recognition unit 122 using predetermined criteria. Each geological division corresponds to one stratum. For example, the geological classification determination unit 124 determines the depth at which the amount of change in a characteristic value that is an element of geological information is greater than a predetermined threshold value of the amount of change, or the depth at which an attribute that is an element thereof changes, into two adjacent depths. Determined as the boundary of the geological classification of the layer. The geological classification determination unit 124 can determine a region between two adjacent boundaries as one geological classification. Therefore, the geological classification determination unit 124 can identify each geological classification from the determined boundaries and determine the layer thickness for each geological classification from the depth of each boundary. Furthermore, the geological classification determination unit 124 can determine the order of the identified geological classifications by depth as stratigraphy.

The geological classification, the layer thickness for each geological classification, and the stratigraphy between the geological classifications determined by the geological classification determination unit 124 can be regarded as depth distribution information representing the depth distribution of the geological classification at the geological survey point. In addition, in the depth distribution information, the height of a geological division may be expressed as an altitude, or as a depth based on a survey point. When the height of a geological division is expressed as a depth, the geological division determination unit 124 may convert the depth into an altitude based on the altitude at the survey point. The geological classification determining unit 124 outputs depth distribution information at the survey point to the geological information updating unit 126.

Depth distribution information is input to the geological information updating section 126 from the geological classification determining section 124 . The geological information update unit 126 stores position information and depth distribution information in association with each other for each geological survey point in the storage unit 130. The depth distribution information accumulated for each survey point corresponds to the geological data described above.

Contaminant information is input to the geological information updating section 126 from the input processing section 112 for each survey point. The pollutant information indicates the concentration of pollutants detected in soil collected from each predetermined depth as a result of the soil survey. The survey points for the soil survey may be the same as or different from the survey points for the geological survey. The geological information updating unit 126 determines the presence or absence of pollution based on the concentration of pollutants detected at each depth. For example, when the concentration of at least one type of pollutant at a certain depth exceeds a predetermined determination reference value, the geological information updating unit 126 determines that there is pollution at that depth. Criterion values may vary depending on the pollutant. The geological information updating unit 126 determines that there is no contamination at a depth where the concentration of any pollutant is less than or equal to a predetermined determination reference value. The geological information update unit 126 refers to the geological data, identifies the geological classification at the altitude corresponding to the depth targeted for determination at the survey point, and updates the presence rate of contaminated soil according to the determined presence or absence of contamination. .

More specifically, the geological information updating unit 126 increases (increments) the contamination detection frequency by 1 for the geological classification that includes within its range the altitude corresponding to the depth determined to be contaminated. The geological information updating unit 126 maintains the contamination detection frequency unchanged for the geological classification whose range includes the altitude corresponding to the depth determined to be free of contamination. Furthermore, the geological information updating unit 126 increases the number of surveys by 1 for that stratum classification, regardless of whether there is contamination or not. However, the initial values of the contamination detection frequency and number of surveys for each geological classification are set to zero. Therefore, the number of times contamination is detected for each geological classification is counted as the contamination detection frequency, and the number of times surveys are conducted is counted as the number of surveys. The geological information updating unit 126 can calculate the quotient obtained by dividing the contamination detection frequency counted for each geological classification by the number of surveys as the presence rate of contaminated soil. The storage unit 130 stores data indicating the existence rate, number of surveys, and contamination detection frequency for each geological classification as contaminated soil data.

The storage unit 130 temporarily or permanently stores various data (including parameters) used in the control unit 110 and various data acquired by the control unit 110. The storage unit 130 stores geological data and contaminated soil data. The geological data includes depth distribution information indicating the depth distribution of geological classifications for each geological survey point. Contaminated soil data indicates the presence of contaminated soil in each geological category based on the soil survey results.

Note that the information processing device 10 may be configured separately from all of the operation input section 20, data input section 30, image input section 40, and display section 50, or may be configured separately from all of the operation input section 20, data input section 30, image input section 40, and display section 50. A combination or all of them may be configured as part of the information processing device 10.

(Hardware configuration example)
Next, an example of the hardware configuration of the information processing device 10 according to the present embodiment will be described. The information processing device 10 may be configured to include dedicated members (e.g., integrated circuits) that form one or more sets of functional units illustrated in FIG. It may be configured as a computer system.

FIG. 2 is a schematic block diagram showing an example of the hardware configuration of the information processing device 10 according to the present embodiment. The information processing device 10 includes, for example, a processor 152, a drive section 156, an input section 158, an output section 160, a ROM (Read Only Memory) 162, a RAM (Random Access Memory) 164, an auxiliary storage section 166, and an interface section 168. It consists of: The processor 152, drive section 156, input section 158, output section 160, ROM 162, RAM 164, auxiliary storage section 166, and interface section 168 are interconnected using a bus BS (base line).

For example, the processor 152 reads programs and various data stored in the ROM 162, executes the programs, and controls the operation of the information processing device 10. The processor 152 includes, for example, one or more CPUs (Central Processing Units). Note that in the present application, "running a program" includes the meaning of executing processing instructed by various instructions (commands) written in the program.

The processor 152 executes a predetermined program to perform all or some of the functions of the above functional units, for example, the input processing unit 112 of the control unit 110, the geological classification detection unit 114, the contaminated soil estimation unit 116, and the output processing unit. 118 and some or all of the functions of the geological information management section 120 are realized. Further, the processor 152 realizes the functions of the storage unit 130 in cooperation with one or a combination of the ROM 162, the RAM 164, and the auxiliary storage unit 166. The processor 152 may realize the functions of the operation input section 20, the data input section, and the image input section 40 in cooperation with either or both of the input section 158 and the interface section 168. The processor 152 may realize the functions of the display section 50 in cooperation with either or a combination of the output section 160 and the interface section 168.

The storage medium 154 stores various data. The storage medium 154 is, for example, a portable storage medium such as a magneto-optical disk, a flexible disk, or a flash memory.
The drive unit 156 is, for example, a device that reads various data from the storage medium 154 and/or writes various data to the storage medium 154.

The input unit 158 receives input data from various devices that serve as input sources, and outputs the input data to the processor 152.
The output unit 160 outputs the output data input from the processor 152 to various devices as output destinations.

The ROM 162 stores, for example, a program for the processor 152 to execute.
The RAM 164 is used, for example, as a main storage medium that functions as a work area for temporarily storing various data and programs used by the processor 152.
The auxiliary storage unit 166 is a storage medium such as an HDD (Hard Disk Drive) or a flash memory.

The interface unit 168 connects to other devices and allows input and output of various data. The interface unit 168 includes, for example, a communication module that connects to a network by wire or wirelessly.

(depth distribution information)
Next, an example of depth distribution information according to this embodiment will be explained. FIG. 3 is a diagram illustrating depth distribution information according to this embodiment. Depth distribution information indicates geological survey points and geological classifications for each depth. The boring number (No.) is a number for identifying a survey point in a boring survey. The location of the survey point is expressed using north latitude, east longitude, and ground surface elevation (T.P.: Tokyo Peil, mean sea level of Tokyo Bay). The stratigraphy between geological divisions is shown in descending order of elevation. In FIG. 3, the elevation described in association with each geological division is the height of the surface of that geological division. The depth of each geological section corresponds to the difference between the elevation of the survey point and the elevation at the surface of that geological section. The layer thickness of each geological section corresponds to the difference between the elevation at the surface of that geological section and the elevation at the bottom of that geological section. The elevation at the base of the geological section corresponds to the elevation at the surface of other geological sections adjacent to the base. For example, the stratigraphy, elevation, and thickness of the "Yurakucho Formation" are the second from the top, -3.32 m, and 6.85 m, respectively.

(Geological survey results)
Next, an example of geological survey results according to this embodiment will be explained. FIG. 4 is a diagram illustrating the geological survey results according to this embodiment. The survey points are expressed using the displayed coordinates of north latitude and east longitude, and the mouth elevation. The "hole mouth" in borehole elevation refers to the opening of the borehole established at the survey point. The illustrated geological survey results include layer thickness, depth, histogram, soil classification, and color tone for each geological classification, and the number of hits, penetration amount, and N value for each starting depth. The histogram represents a graphic pattern (hatch pattern) for each soil classification. The pattern expresses the appearance characteristics of the soil type in a stylized manner. The N value is expressed as a line graph ranging from 0 to 50. The color tone expresses the color of the soil type in letters. Depth distribution information at each survey point becomes a component of geological data. Although the geological survey results illustrated in FIG. 4 can also be considered as depth distribution information, the format is different from the depth distribution information illustrated in FIG. 3. The geological information management unit 120 manages the depth distribution information regarding each survey point as digital information having a certain format, so that it can be utilized.

The storage unit 130 may further store map data, and the depth distribution information forming the geological data may be associated with the map data using the latitude and longitude indicating a common position with the survey point. Furthermore, the geological classification forming the contaminated soil data may be associated with the map data using the latitude and longitude indicating a common position with the survey point. Such map data is acquired by the geological information management unit 120 from various GIS. Moreover, the geological information management unit 120 may provide the geological data and contaminated soil data to the GIS, and may be managed in the GIS in association with map data.

(Contaminated soil data)
FIG. 5 is a diagram illustrating contaminated soil data according to this embodiment. In the example of FIG. 5, the contaminated soil data represents the presence rate of contaminated soil and the number of surveys for each geological classification. For example, the existence rate and the number of surveys for the "Yurakucho layer" are 100% and 1000, respectively. “Yurakucho Formation,” “Tokyo Formation,” and “Higashikurume Formation” are geological formations that have been detected at any of the three survey points by the geological classification detection unit 114 with reference to geological data, and in which hazardous substances have been detected. It is a classification.

Individual geological survey sites are distinguished using log numbers. The histogram number corresponds to the above-mentioned boring number and corresponds to each piece of depth distribution information. In the survey point column, the north latitude, east longitude, and altitude (T.P.) of the location are described. The location of each survey point is indicated on the map using ● marks. The depth column for each survey point describes the altitude range of the geological classification detected at that survey point. For example, the altitude range at which the "Yurakucho layer" is detected at the survey point related to the histogram "No. 1-1" is -1 m to -8. The geological division detection unit 114 can detect the position of the survey point and the altitude range for each geological division by referring to the geological data. As shown in the figure, the output processing unit 118 generates a display screen showing symbols representing survey points on the map and information indicating the altitude range and contaminant abundance rate for each geological classification for each survey point. Display data representing the displayed display screen may be output to the display unit 50.

(Example of estimated contaminated soil)
Next, an example of estimating contaminated soil at a planned location will be explained. FIG. 6 is a diagram showing an example of estimation of contaminated soil at a planned location. In FIG. 6, the location of the planned point is represented by a star on the map. The planned point is included in a triangular area whose vertices are the three survey points closest to the planned point. In the column for the presence rate of naturally derived contaminated soil, the geological classification common to the three survey points within the range from the elevation of the planned site to the elevation lower by the excavation depth, and for each geological classification containing pollutants, is shown. The depth range, abundance rate, and number of surveys at the planned location are shown.

The surface or bottom elevation for each geological classification at the planned location is estimated by the geological classification detection unit 114 using a known interpolation method for the surface or bottom elevation for each survey location. If there are three survey points, linear interpolation can be used as the interpolation method. In the example in Figure 6, at the planned location, the elevation of the surface of the Yurakucho Formation is -2 m, the elevation of the bottom of the Yurakucho Formation or the surface of the Tokyo Formation is -11 m, and the elevation of the bottom of the Tokyo Formation or the surface elevation of the Higashikurume Formation is -15m, and the bottom elevation of the Higashikurume Formation is estimated to be -24m. Note that when there are four or more survey points, the geological division detection unit 114 can use a higher-order interpolation method, such as a second-order or higher-order interpolation method. When there are four or more survey points, the parameters of the interpolation function used for interpolation can be determined so that the magnitude of the error between the estimated value and the measured value of the elevation at each survey point is minimized. On the other hand, the existence rate and the number of surveys corresponding to each geological classification can be acquired by the contaminated soil estimating unit 116 by referring to the contaminated soil data.

The column of estimated contaminated soil volume shows the excavation area, excavation depth, and contaminated soil volume (estimated contaminated soil volume) at the planned location. Information on the excavation area and excavation depth is acquired by the input processing unit 112 while being included in the planned location information. The estimated amount of contaminated soil is determined by the contaminated soil estimating unit 116 as a geological classification, which is the product of the excavation area, the layer thickness of the geological classification that has contaminants included in the excavation depth range, and the abundance rate of contaminated soil in that geological classification. Estimated as the summation between

For example, the contaminated soil estimating unit 116 can determine the range of excavation depth to be -2 m to -22 m based on the altitude of the planned point of -2 m and the excavation depth of 20 m. The contaminated soil estimating unit 116 determines that the entire Yurakucho layer is included in the excavation depth range and the layer thickness is 9 m, based on the surface elevation of the Yurakucho layer estimated by the geological division detection unit 114 of -2 m and the bottom elevation of -11 m. It can be determined that The contaminated soil estimating unit 116 can determine that the entire Tokyo layer is included in the excavation depth range and the layer thickness is 4 m from the estimated surface elevation of -11 m and bottom elevation of -15 m. Contaminated soil estimating unit 116 determines that, based on the estimated surface elevation of -15 m and bottom elevation of -24 m, the range of elevation from -15 m to -22 m in the Higashikurume Formation is included in the excavation depth range. The layer thickness can be determined to be 7 m. The products of excavation area, layer thickness, and abundance rate for the Yurakucho Formation, Tokyo Formation, and Higashikurume Formation are 9000, 2000, and 700, respectively. The contaminated soil estimating unit 116 can calculate the sum of these, 11,700 m ³ , as the estimated contaminated soil volume.

The above estimated amount of contaminated soil is a weighted sum of geological categories within the excavation depth, with the weighting factor being the presence rate of contaminated soil in each geological category relative to the product of excavation area and layer thickness. However, the contaminated soil estimating unit 116 may calculate the estimated contaminated soil volume as a simple sum in which all weighting coefficients are set to 1. This estimated amount of contaminated soil corresponds to the amount of soil generated from geological divisions in which there is a possibility that even some pollutants may be detected.

Further, the contaminated soil data may include information indicating the abundance rate of each type of pollutant for each geological classification. Typical types of contaminants include, for example, arsenic, fluorine, cadmium, and lead. The contaminated soil estimating unit 116 can refer to this contaminated soil data and determine, for each type of pollutant, the altitude and abundance rate of pollutants including that type of pollutant. Then, the contaminated soil estimating unit 116 calculates, for each type of contaminant, the excavation area and the geological division included in the excavation depth, and the geological formation within the excavation depth of the layer thickness of the geological division that includes the type of contaminant. The sum between the categories may be calculated as the estimated amount of contaminated soil for each type of pollutant. The estimated amount of contaminated soil that is calculated can be used to estimate the processing amount and cost, which vary depending on the type of pollutant.

(Contaminated soil estimation process)
Next, a contaminated soil estimation process according to this embodiment will be explained. FIG. 7 is a flowchart for explaining an example of the contaminated soil estimation process according to the present embodiment.
The contaminated soil estimation process illustrated in FIG. 7 includes steps S102 to S118.
Among them, the processes in steps S102 to S108 relate to updating geological data based on the results of a geological survey. In the example of FIG. 7, a histogram is used as the result of a geological survey. A histogram is a diagram showing a hierarchical structure consisting of multiple strata underground at a survey point. Each stratum is divided into geological classifications.

(Step S102) The input processing unit 112 causes the image input unit 40 to read the image of the histogram related to the geological survey point, acquires image data representing the read image, and outputs it to the geological recognition unit 122.
(Step S104) The geological recognition unit 122 executes image recognition processing on the image data input from the input processing unit 112 using a known AI (Artificial Intelligence) model, and obtains geological information for each depth from the ground surface. recognize. The geological recognition unit 122 outputs the recognized geological information to the geological classification determination unit 124.

(Step S106) The geological classification determination unit 124 determines the geological classification, and the stratigraphy and layer thickness of the geological classification, based on the geological information input from the geological recognition unit 122, using predetermined criteria. do. For example, the geological classification determination unit 124 determines the depth at which the amount of change in a characteristic value that is an element of geological information is greater than a predetermined threshold value of the amount of change, or the depth at which an attribute that is an element thereof changes, into two adjacent depths. Determined as the boundary of the geological classification of the layer. The geological division determining unit 124 determines a layer sandwiched between two adjacent boundaries as one geological division. The geological division determination unit 124 determines the layer thickness of the geological divisions forming a hierarchy sandwiched between adjacent boundaries from the depth at the boundaries of each geological division. Furthermore, the geological classification determining unit 124 determines the order of the identified geological classifications by depth as a stratigraphy based on the elevation of the survey point. The geological classification, the layer thickness for each geological classification, and the stratigraphy between the geological classifications determined by the geological classification determination unit 124 correspond to depth distribution information representing the depth distribution of the geological classification at the survey point. The geological classification determination unit 124 converts the depth at each boundary into an altitude. The geological classification determining unit 124 outputs depth distribution information at the survey point to the geological information updating unit 126.

(Step S108) The geological information updating unit 126 stores the depth distribution information input from the geological classification determining unit 124 in the storage unit 130 in association with the position information of the survey point. Depth distribution information is added to the storage unit 130 for each survey point. The accumulated depth distribution information for each survey point is formed as geological data.

The processes in steps S110 and S112 relate to updating of contaminated soil data based on the survey results of the contaminated soil survey. The soil investigation includes the steps of collecting soil from different depths at the survey location and analyzing the concentration of pollutants contained in the soil sampled from each depth.
(Step S110) The input processing unit 112 uses the data input unit 30 to acquire pollutant information indicating the concentration of pollutants at each depth for a certain soil survey point, and transfers the acquired pollutant information to the geological information updating unit. 126.

(Step S112) The geological information updating unit 126 determines the presence or absence of contamination based on the contaminant information acquired for each depth in the soil survey. For example, the geological information update unit 126 determines that there is pollution when the concentration of at least one type of pollutant at a certain depth exceeds a predetermined standard value, and when the concentration of any pollutant is below the predetermined standard value. It is determined that there is no contamination. The geological information update unit 126 refers to the geological data and identifies geological divisions at altitudes corresponding to individual depths at the survey point. The geological information updating unit 126 accumulates, for each geological classification, the number of surveys regardless of the presence or absence of contamination, and the contamination detection frequency, which is the number of times contamination was detected. The geological information updating unit 126 updates the presence rate for each geological classification to the presence rate obtained by dividing the accumulated contamination detection frequency by the number of surveys. The storage unit 130 stores data including the abundance rate and the number of surveys for each geological classification as contaminated soil data.

The processes in steps S114 to S118 relate to estimation of contaminated soil in a new work plan. In the example of FIG. 2, a new construction construction plan is used as an example of the work plan.
(Step S114) The input processing unit 112 acquires new construction plan information input from the operation input unit 20. The new construction work plan information includes planning point information related to new construction work. The planned point information is expressed using latitude, longitude, and altitude indicating the planned point where new construction work is planned. The planned location information includes excavation area and excavation depth. The input processing unit 112 outputs the acquired planning point information to the geological classification detection unit 114 and the contaminated soil estimation unit 116.

(Step S116) The geological division detection unit 114 refers to the geological data and selects the three survey points closest to the planned point indicated by the planned point information input from the input processing unit 112. The geological classification detection unit 114 extracts depth distribution information for each selected point. The geological division detection unit 114 identifies the geological division included in the range of excavation depth from the altitude of the point, among the geological divisions shown in the extracted depth distribution information. The geological classification detection unit 114 detects a common geological classification between the specified points. Geological division detection section 114 outputs common geological division information indicating the detected common geological division to contaminated soil estimation section 116.

(Step S118) The contaminated soil estimating unit 116 refers to the contaminated soil data, and calculates the range from the ground surface elevation at the excavation point to an elevation lower by the excavation depth, among the geological divisions containing the contaminant. Based on the presence or absence of geological classifications included in the excavation depth range, it is possible to estimate whether there is a possibility of excavating contaminated soil. The contaminated soil estimating unit 116 outputs contaminant information indicating whether there is a possibility that contaminated soil will be excavated to the output processing unit 118, and causes the display unit 50 to display a display screen representing the contaminant information. Further, the contaminated soil estimating unit 116 refers to the contaminated soil data, and calculates the geological classification of the product of the layer thickness of the geological classification that is included in the excavation depth range and has pollutants, the excavation area, and the presence rate of contaminated soil. The total amount of contaminated soil may be estimated as the amount of contaminated soil. The contaminated soil estimation unit 116 may include the estimated amount of contaminated soil in the pollutant information. Thereafter, the process in FIG. 2 is ended.

(Application examples, modified examples)
Note that this embodiment may be applied or modified as follows.
In the above explanation, a new construction construction plan was mainly used as an example of a work plan, but the work plan is not limited to this. This embodiment can also be applied to work plans in which the presence of underground contamination is expected to be estimated at the planning stage. Such work plans can also be applied to, for example, plans for renovation work, foundation work, underground work, etc.

According to the present embodiment, the presence or absence of natural contamination, its presence rate, and the amount of contaminated soil can be estimated at the stage of work planning, such as new construction work. The estimated information can be used to estimate construction costs, excavation (root cutting) plans, soil treatment plans, environmental measures, schedule planning, etc. The estimated information may be managed on various GIS. Management on GIS makes it easy to apply it to consideration of land use plans, changes in the design of underground structures, etc. The information processing system 1 according to this embodiment may be configured as a GIS.

The geological division detection unit 114 may select three or more specified geological survey points on the condition that a polygonal region having each survey point as a vertex includes the planned point. Furthermore, the geological classification detection unit 114 refers to geological data that further indicates the distribution of faults, determines whether or not the polygonal area includes a fault, and, on the condition that it does not contain a fault, selects three or more of the three or more. You may choose a survey location. The geological division detection unit 114 can determine whether a polygonal region includes a fault based on the distribution of faults represented in the map data. Since there is a high possibility that the geological structure differs greatly with a fault as a boundary, it is possible to ensure the accuracy of estimating geological classifications with contamination by avoiding selecting survey points that are distributed across faults.

Further, the touch sensor functioning as the operation input section 20 may be integrated with a display functioning as the display section 50 and configured as a touch panel.
The output destination of the contaminant information from the output processing section 118 is not limited to the display section 50. The output destination may be another device such as a personal computer, a tablet terminal device, a multi-function mobile phone, or the like.

Part or all of the input processing section 112, the geological classification detection section 114, the contaminated soil estimation section 116, the output processing section 118, and the geological information management section 120 may be configured to include a dedicated integrated circuit, The general-purpose computer system constituting the information processing device 10 may implement these functions by executing processes instructed by instructions written in a program read from the storage unit 130.

As described above, the information processing device 10 according to the above-described embodiments includes geological data indicating the depth distribution of geological classifications for each geological survey point and indicating the presence of contaminated soil for each geological classification based on the soil survey. It includes a storage unit 130 that stores contaminated soil data. The information processing device 10 refers to the geological data, selects a plurality of survey points based on the distance from a planned point having a work plan (for example, a new construction plan), and detects a geological classification common to the selected survey points. A geological classification detection unit 114 is provided. The information processing device 10 includes a contaminated soil estimating unit 116 that refers to the contaminated soil data and estimates the presence of contaminated soil at the planned location based on the detected geological classification.
According to this configuration, the geological classification common to a plurality of survey points selected based on the distance from the planned point is estimated as the geological classification at the planned point. Contaminated soil data is calculated, and the presence of contaminated soil at the planned location is estimated based on the estimated geological classification. The presence of contaminated soil is estimated at the planned location without conducting a geological survey that involves excavation. By estimating at the planning stage the necessity of work processes that depend on the presence and amount of contaminated soil, construction plans can be advanced.

Furthermore, the geological division detection unit 114 may estimate the elevation of each geological division at the planned location based on the elevation of each geological division for each selected survey point. The contaminated soil estimating unit 116 refers to the contaminated soil data, identifies the altitude of the geological division where contamination is detected, and determines whether to excavate the contaminated soil at the planned point based on the altitude and the range of excavation depth at the planned point. The presence or absence may be estimated.
According to this configuration, it is determined whether or not excavation is to be performed in the geological division in which contamination is detected, based on the elevation of the geological division and the excavation depth estimated at the planned point from the elevation of the geological division at each survey point. The presence or absence of excavation in geological sections where contamination is detected can be estimated without preliminary excavation at the planned location.

The contaminated soil estimating unit 116 also refers to the contaminated soil data and determines the layer thickness of the geological section that is included in the excavation depth range and where contaminated soil is detected, the excavation area at the planned point, and the existence rate of contaminated soil. Based on this, the amount of contaminated soil may be estimated.
According to this configuration, the amount of contaminated soil is estimated from the layer thickness of the geological section where contaminated soil is detected, the excavation area, and the presence rate of contaminated soil among the geological sections included in the excavation depth range at the planned location. be done. The amount of contaminated soil where contamination is detected can be estimated without preliminary excavation at planned locations.

Further, the plurality of survey points are three or more survey points closest to the planned point, and the planned point is included in an area having each of the three or more survey points as vertices.
According to this configuration, the depth distribution of geological sections at three or more survey points that are closest to the planned point and form an area that includes the planned point is used to estimate the presence of contaminated soil. Therefore, it is possible to ensure accuracy in estimating the geological classification at the planned location and, by extension, the presence of contaminated soil.

The information processing device 10 also adds depth distribution information indicating the depth distribution of the geological classification for each geological survey point to the geological data, and updates the contaminated soil data based on the presence or absence of contamination in the geological classification at the survey point. An information management section 120 may also be included.
According to this configuration, depth distribution information based on the geological information is added to the geological data every time geological information at a survey point is acquired through a geological survey. In addition, the contaminated soil data is updated each time the contaminated soil survey reveals the presence or absence of contamination in the geological classification at the survey point. By updating geological data and contaminated soil data, the accuracy of estimating contaminated soil can be improved.

In addition, the geological information management unit 120 counts the contamination detection frequency at which contamination is detected from the geological classification at the survey point, and calculates the presence rate of contaminated soil in the relevant geological classification in the contaminated soil data based on the contamination detection frequency. It may be updated to the rate.
According to this configuration, the presence rate of contamination is updated for each geological classification in which the presence or absence of contamination is detected at the soil survey point. By updating the presence rate of contamination in contaminated soil data, it is possible to improve the accuracy of estimating the presence rate of contaminated soil estimated at the time of planning.

Although this embodiment has been described in detail above with reference to the drawings, the specific configuration is not limited to each of the above-mentioned configurations, and includes designs within a range that does not depart from the gist of this embodiment. Each of the above-mentioned configurations can be arbitrarily combined, and some of them can be omitted.

DESCRIPTION OF SYMBOLS 1... Information processing system, 10... Information processing device, 20... Operation input section, 30... Data input section, 40... Image input section, 50... Display section, 110... Control section, 112... Input processing section, 114... Geological classification Detection section, 116... Contaminated soil estimation section, 118... Output processing section, 120... Geological information management section, 122... Geological recognition section, 124... Geological classification determination section, 126... Geological information updating section, 130... Storage section

Claims (8)

a storage unit that stores geological data indicating the depth distribution of geological divisions for each survey point and contaminated soil data indicating the presence of contaminated soil for each geological division;
Referring to the geological data, selecting a plurality of survey points based on the distance from the planned point having the work plan,
a geological classification detection unit that detects a geological classification common to the selected survey points;
An information processing device comprising: a contaminated soil estimating unit that refers to the contaminated soil data and estimates the presence of the contaminated soil at the planned location based on the detected geological classification. The geological classification detection unit is
Estimating the altitude at the planning point based on the altitude of each geological classification for each selected survey point,
The contaminated soil estimation department
Referring to the contaminated soil data,
Identify the altitude of the geological zone where contamination is detected;
The information processing device according to claim 1, wherein whether or not the contaminated soil is excavated at the planned point is estimated based on the altitude and the range of excavation depth at the planned point. The contaminated soil estimation department
Referring to the contaminated soil data,
According to claim 2, the amount of contaminated soil is estimated based on the layer thickness of a geological section that is included in the excavation depth range and in which contaminated soil is detected, the excavation area at the planned point, and the presence rate of contaminated soil. information processing equipment. The information processing device according to claim 1, wherein the plurality of survey points are three or more survey points closest to the planned point, and the planned point is included in an area having each of the three or more survey points as vertices. . Adding depth distribution information indicating the depth distribution of geological classifications to the geological data for each survey point,
The information processing device according to claim 1, further comprising a geological information management unit that updates the contaminated soil data based on the presence or absence of contamination in a geological classification at the survey point. The geological information management department is
Counting the number of times pollution was detected from the geological classification at the survey point,
The information processing device according to claim 5, wherein the presence rate of contaminated soil in the geological classification in the contaminated soil data is updated to the presence rate of contaminated soil based on the contamination detection frequency. A program for causing a computer to function as the information processing device according to claim 1. A method in an information processing device comprising a storage unit storing geological data indicating the depth distribution of geological divisions for each survey point and contaminated soil data indicating the presence of contaminated soil for each geological division, the method comprising:
The information processing device
a first step of selecting a plurality of survey points based on the distance from a planned point having a work plan with reference to the geological data;
a second step of detecting a geological classification common to the selected survey points;
A third step of referring to the contaminated soil data and estimating the presence of the contaminated soil at the planned location based on the detected geological classification.

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