Information processing device and information processing method

Abstract

To provide an information processing device developing a sketch image on a boring core with specific accuracy using a learning model.SOLUTION: An information processing device having a processor and a storage device has stored a learning model learning on the basis of learning data associated with feature quantity showing a first captured image of a first boring core sampled from a stratum and a level showing a first sketch image of the first boring core in the past, and develops a second sketch image of a second boring core by inputting a second captured image of the second boring core sampled from the stratum in the learning model at present.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present invention relates to an information processing device and an information processing method for creating a sketch image of a boring core sampled for a ground investigation. [Background technology]

[0002] Generally, a ground survey is known in which a boring machine is used to excavate the ground to extract boring cores, and the geological properties (properties, structure, color, type, etc.) of the stratum are investigated while observing the extracted boring cores, thereby determining the bearing capacity of the ground (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2018-197446 A Summary of the Invention [Problem to be solved by the invention]

[0004] When conducting a ground survey, sketch images of the borehole core are created to keep a record of the survey results of the geological strata in the borehole core. A sketch image of a borehole core is an image in which the borehole core is drawn and text, symbols, numbers, etc. explaining the geology of the strata in the borehole core are added to the sketch of the borehole core.

[0005] Sketch images of drilling cores are created by workers who specialize in sketching, for example. However, since workers have different levels of proficiency in creating sketch images of drilling cores, some workers may not be able to fully reflect the geology of the stratum in the sketch image even if they observe the collected drilling cores, resulting in an insufficient sketch image overall.

[0006] The present invention has been made in consideration of the above-mentioned problems, and one object of the present invention is to provide an information processing device and an information processing method for creating a sketch image of a boring core based on a photographed image of the boring core. [Means for solving the problem]

[0007] One of the present inventions for achieving the above-mentioned object is an information processing device having a processor and a storage device, which stores a learning model that learns based on learning data in the past that associates features indicating a first photographed image of a first drilling core collected from a geological stratum with a label indicating a first sketch image of the first drilling core, and currently creates a second sketch image of the second drilling core by inputting a second photographed image of a second drilling core collected from the geological stratum into the learning model.

[0008] According to the information processing device of the present invention, it is possible to create a sketch image of a borehole core with a certain degree of accuracy based on the current photographed image of the borehole core, without having to hire a specialized worker to create the sketch image.

[0009] Another aspect of the present invention for achieving the above-mentioned object is an information processing device, wherein the first sketch image is an image including a description of the geology of the first drilling core, and the second sketch image is an image including a description of the geology of the second drilling core.

[0010] According to the information processing device of the present invention, it is possible to create a sketch image of the borehole core including geological information based on a current photographed image of the borehole core.

[0011] In order to achieve the above object, another aspect of the present invention is an information processing device, in which the feature amount includes information indicating the geology of the first boring core.

[0012] According to the information processing device of the present invention, the learning accuracy of the learning model is improved, making it possible to improve the accuracy when creating sketch images of drilling cores.

[0013] Another aspect of the present invention for achieving the above-mentioned object is an information processing device in which the feature quantity includes information on RQD (Rock Quality Designation), which is an index representing the number of fractures in the geology of the first drilling core.

[0014] According to the information processing device of the present invention, the learning accuracy of the learning model is improved, making it possible to improve the accuracy when creating sketch images of drilling cores.

[0015] In another aspect of the present invention for achieving the above object, in an information processing device, the feature amount includes information indicating a geological judgment example of the first boring core.

[0016] According to the information processing device of the present invention, the learning accuracy of the learning model is improved, making it possible to improve the accuracy when creating sketch images of drilling cores.

[0017] Other problems and solutions disclosed in the present application will be made clear in the section of the preferred embodiment and the drawings. Effect of the Invention

[0018] According to the present invention, it is possible to create a sketch image of a borehole core with a certain degree of accuracy based on the current photographed image of the borehole core, without having to hire a specialized worker to create the sketch image. [Brief description of the drawings]

[0019] [Figure 1A] 2 is a perspective view showing a state before multiple boring cores 100 are stored in a storage box 200. FIG. [Figure 1B]2 is a perspective view showing the state after multiple boring cores 100 have been stored in a storage box 200. FIG. [Diagram 2] 1 is a diagram showing an example of a captured image of boring cores 100A to 100E stored in storage areas 210A to 210E of a storage box 200. FIG. [Diagram 3] 1 is a block diagram showing a schematic configuration of a sketch image creation system 600 including an information processing device 300 that creates a sketch image of a current boring core 700. FIG. [Figure 4] FIG. 13 is a diagram showing an example of features and labels of training data 342. [Diagram 5] FIG. 2 is a diagram showing an example of a sketch image of a boring core 100. [Figure 6] FIG. 13 is a diagram showing the structure of a deep neural network, which is an example of a learning model 343. [Figure 7] 6 is a block diagram showing an example of hardware of an information processing device 300 used to realize a sketch image creation system 600. FIG. [Figure 8] 13 is a flowchart showing a process performed by the information processing device 300 to learn a learning model 343 using learning data 342. [Figure 9] 13 is a flowchart showing a process in which the information processing device 300 uses the learning model 343 to create a sketch image of the bowling core 700 from a current captured image of the bowling core 700. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0020] At least the following matters will become clear from the description of this specification and the accompanying drawings. The present invention will be described below in accordance with one embodiment with reference to the accompanying drawings. In the following description, the boring core 100 refers to five samples collected in the past, and the boring core 700 refers to five samples collected at present.

[0021] FIG. 1A is a perspective view showing a state before a plurality of boring cores 100 are stored in the storage box 200. FIG. 1B is a perspective view showing a state after a plurality of boring cores 100 are stored in the storage box 200. In addition, in FIG. 1A and FIG. 1B, three axes, an X-axis, a Y-axis, and a Z-axis, are shown so that the description of the boring core 100 and the storage box 200 can be easily understood. Here, the X-axis is an axis extending in a direction along the longitudinal direction of the plurality of storage areas 210 partitioned in the storage box 200. In addition, the Y-axis is an axis extending in a direction perpendicular to the longitudinal direction of the plurality of storage areas 210 partitioned in the storage box 200. In addition, the Z-axis is an axis extending in a direction perpendicular to the X-axis and the Y-axis. In this embodiment, for ease of explanation, it is assumed that the collected boring cores 100 are, for example, five boring cores 100A to 100E, and the storage box 200 has five storage compartments 210A to 210E that respectively store the five boring cores 100A to 100E.

[0022] The boring core 100 is a sample collected from the ground during a ground survey, and contains various information related to the geology of the stratum. The boring core 100 can be collected by drilling the ground with a boring machine. Specifically, the boring machine has a cylindrical body capable of drilling the ground, and forms a cylindrical boring core 100 inside the cylinder by rotating the cylinder and moving it toward the ground. Here, if the inner diameter of the cylinder is, for example, 10 cm and the length of the cylinder is, for example, 1 m, a boring core 100 with a diameter of 10 cm and a length of 1 m is formed each time the boring machine drills the ground. For example, when it is desired to collect boring cores 100 to a depth of 5 m from the ground, first, the drilling machine excavates to a depth of 1 m from the ground to collect the first boring core 100A, then, the drilling machine excavates to a depth of 1 to 2 m from the ground to collect the second boring core 100B, then, the drilling machine excavates to a depth of 2 to 3 m from the ground to collect the third boring core 100C, then, the drilling machine excavates to a depth of 3 to 4 m from the ground to collect the fourth boring core 100D, and finally, the drilling machine excavates to a depth of 4 to 5 m from the ground to collect the fifth boring core 100E. In addition, in FIG. 1A, the boring cores 100A to 100E are shown so that their longitudinal direction is along the X-axis.

[0023] The storage box 200 is a box made of, for example, wood or metal, for storing the collected boring cores 100A-100E. The storage box 200 is partitioned so that the storage areas 210A-210E for storing the boring cores 100A-100E are aligned. The storage areas 210A-210E each have a storage space that matches the size of the boring cores 100A-100E. The storage areas 210A-210E are formed so that their longitudinal direction is parallel to the X-axis and adjacent to each other in the Y-axis direction.

[0024] Depending on the depth of the stratum, the drilling core 100 may contain, for example, various types of rocks (tuff, shale, sandstone, breccia, andesite, etc.), various types of soils (clay, silt, sand, gravel, etc.), and one or more fractures of various lengths and depths, which are important factors in investigating the geology of the stratum.

[0025] 2 is a diagram showing an example of a captured image (first captured image) of the boring cores 100A-100E stored in the storage areas 210A-210E of the storage box 200 as shown in FIG. 1B, captured from the +Z side toward the -Z side of the Z axis. This captured image is one of the feature quantities of the learning data 342 used when the information processing device 300 performs learning to create a sketch image (second sketch image) of the current boring core 700.

[0026] FIG. 3 is a block diagram showing a schematic configuration of a sketch image creation system 600 including an information processing device 300 for creating a sketch image of a current boring core 700. As shown in FIG.

[0027] The sketch image creation system 600 is a system that creates a sketch image of the boring core 700 from a photographed image (second photographed image) of the boring core 700 taken in the same manner as the photographed image of the boring core 100 shown in Fig. 2 by utilizing AI (Artificial Intelligence), which is an artificial intelligence. The sketch image creation system 600 makes it possible to create a sketch image of the boring core 700 with a certain degree of accuracy without the intervention of an operator who draws the sketch image.

[0028] The sketch image creation system 600 includes an information processing device 300 and an external computer 400 as means for realizing the above functions. The information processing device 300 and the external computer 400 are connected in a state in which two-way communication is possible via a communication network 500. The communication network 500 is, for example, a local area network (LAN), a wide area network (WAN), a dedicated line, a power line communication network, various public communication networks, etc.

[0029] The information processing device 300 includes an input unit 310 , a creation unit 320 , an output unit 330 , and a storage unit 340 .

[0030] The memory unit 340 stores a control program 341, learning data 342, and a learning model 343.

[0031] The control program 341 is a program executed by the information processing device 300 when causing the creation unit 320 to create a sketch image of the boring core 700 from a captured image of the boring core 700.

[0032] The learning data 342 is supervised data that is prepared in advance to allow the creation unit 320 to create a sketch image of the boring core 700, and that associates features and labels that are past performance data.

[0033] FIG. 4 is a diagram showing an example of features and labels of the training data 342.

[0034] The feature amounts include (A) "photographed image of the boring core 100" (first photographed image), (B) "geological information of the boring core 100", (C) "Rock Quality Designation (RQD) information of the boring core 100", and (D) "a geological judgment example of the boring core 100". In addition, the label includes (E) "sketched image of the boring core 100" (first sketched image).

[0035] First, the feature amount will be described.

[0036] (A) "Photographed image of boring core 100" is a photographed image shown in Fig. 2 of the storage box 200 and the boring cores 100A-100E stored in the storage box 200. The photographed images of the boring cores 100A-100E show geology including various types of rocks and their colors, boundaries between different types of rocks, various types of soils and their colors, boundaries between different types of soils, various cracks, etc.

[0037] (B) "Information on the geology of the boring core 100" is information showing the geology of each of the boring cores 100A to 100E in the photographed images of the boring cores 100A to 100E. For example, if the boring core 100A shows tuff breccia, clay and brown silty sand, the boundary between the clay and the brown silty sand, and a crack of a predetermined length and depth, the information showing the geology of the boring core 100A is information showing the tuff breccia, clay and brown silty sand, the boundary between the clay and the brown silty sand, and the crack of a predetermined length and depth. Similarly, information showing the geology of the other boring cores 100B to 100E is also prepared. The information showing the geology of these boring cores 100A to 100E is information required to create a geological columnar diagram of the boring cores 100A to 100E.

[0038] (C) "RQD (Rock Quality Designation) information of drilling core 100" is information that serves as an index showing the number of fractures in the strata in each of drilling cores 100A to 100E. Specifically, RQD is a percentage (%) of the total length of rod-shaped cores of 10 cm or more contained in each of 1 m drilling cores 100A to 100E, and generally, a strata with an RQD of 50% or less is predicted to be relatively fragile and brittle.

[0039] (D) "Case Study of Geological Properties of Boring Core 100" is at least one piece of information showing a case study in which a specialized worker assessed the geology of each of the boring cores 100A to 100E.

[0040] Next, the label will be described.

[0041] (E) "Sketch image of boring core 100" is a sketch image drawn by a professional worker while directly checking the boring cores 100A to 100E. This sketch image is also written with information indicating the geology of the boring cores 100A to 100E. For example, if the boring core 100A shows tuff breccia, clay and brown silty sand, a boundary between the clay and the brown silty sand, and a crack of a predetermined length and depth, the sketch image of the boring core 100A also shows letters, symbols, etc. indicating the tuff breccia, clay and brown silty sand, the boundary between the clay and the brown silty sand, the crack of a predetermined length and depth, etc.

[0042] 5 is a diagram showing an example of a sketch image of the boring core 100, for example, a sketch image of a part of the boring core 100A. For example, in a part of the boring core 100A, brown silty sand is sandwiched between clay, tuff breccia is mixed in the clay on the right side of the page, and two plant roots are present straddling the boundary between the clay and the silty sand on the left side of the page, and the depth into the ground and characters indicating the above geology are written on the sketch image.

[0043] In addition, the learning data 342 may be data in which features and labels are associated with each other for one type of bowling core 100, but in order to improve the learning accuracy of the learning model 343, it may be data in which features and labels are associated with each other for multiple types of bowling cores 100.

[0044] Returning to FIG. 3, the learning model 343 is a machine learning model formed so that, by learning using the learning data 342, when data showing a photographed image of the current bowling core 700 as shown in FIG. 2 is input, the photographed image is processed into a line image to create a sketch image of the bowling core 700. The more learning data 342 the learning model 343 uses to learn, the more accurate the prediction becomes. In this embodiment, the learning model 343 is, for example, a deep neural network (DNN), but may be another type of model such as a gradient boosting decision tree (GBDT).

[0045] FIG. 6 is a diagram showing the structure of a deep neural network, which is an example of the learning model 343.

[0046] The learning model 343 includes three layers: an input layer 3431, an intermediate layer 3432, and an output layer 3433.

[0047] The input layer 3431 is a layer to which data indicating a current captured image of the boring core 700, which is the same type as the feature amount constituting the learning data 342, is input. The intermediate layer 3432 is a layer including one or more hidden layers consisting of one or more nodes including parameters adjusted by learning using the learning data 342. The intermediate layer 3432 creates a sketch image of the boring core 700 based on the data input to the input layer 3431. The output layer 3433 is a layer that outputs data indicating the sketch image of the boring core 700 created by the intermediate layer 3432.

[0048] 3, when the information processing device 300 creates a sketch image of the current bowling core 700 using the learning model 343, the input unit 310 receives data indicating a captured image of the bowling core 700. The data input to the input unit 310 is then input to the creation unit 320.

[0049] The creation unit 320 inputs the above data input to the input unit 310 into the input layer 3431 of the learning model 343, and instructs the learning model 343 to create the above.

[0050] The output unit 330 outputs the creation result by the learning model 343 to the outside in accordance with an instruction from the creation unit 320 triggered by the creation result of the sketch image of the boring core 700 being output from the intermediate layer 3432 to the output layer 3433. As an output method of the output unit 330, for example, a method of displaying and outputting the creation result on a display panel, a method of printing and outputting the creation result on a paper medium, etc. can be considered.

[0051] The external computer 400 has a storage unit 410, and stores data representing a sketch image of the bowling core 700 created by the learning model 343 in the storage unit 410, and reads out the data representing the sketch image of the bowling core 700 from the storage unit 410 as necessary and outputs it to the information processing device 300. Alternatively, a storage area other than the control program 341, the learning data 342, and the learning model 343 may be provided in the storage unit 340 of the information processing device 300, and data representing the sketch image of the bowling core 700 created by the learning model 343 may be stored in this storage area.

[0052] FIG. 7 is a block diagram showing an example of hardware of the information processing device 300 used to realize the sketch image creation system 600. As shown in FIG.

[0053] The information processing device 300 includes a processor 3010, a main memory device 3020, an auxiliary memory device 3030, an input device 3040, an output device 3050, and a communication device 3060. The information processing device 300 is, for example, a personal computer, an office computer, various server devices, a general-purpose machine, etc. The information processing device 300 may be realized, in whole or in part, by using a virtual information processing resource provided by using a virtualization technology, such as a virtual server provided by a cloud system. The sketch image creation system 600 may be realized by using a plurality of information processing devices 300 connected to each other so as to be able to communicate with each other.

[0054] The processor 3010 is configured using, for example, a Central Processing Unit (CPU), a Micro Processing Unit (MPU), a Graphics Processing Unit (GPU), a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Artificial Intelligence (AI) chip, etc.

[0055] The main memory device 3020 is a device that stores programs and data, and is, for example, a Read Only Memory (ROM), a Random Access Memory (RAM), or a non-volatile memory (NVRAM (Non Volatile RAM)).

[0056] The auxiliary storage device 3030 is, for example, a solid state drive (SSD), a hard disk drive, an optical storage device (CD (Compact Disc), DVD (Digital Versatile Disc), etc.), a storage system, an IC card, an SD card, a read / write device for a recording medium such as an optical recording medium, a storage area of ​​a cloud server, etc. Programs and data can be read into the auxiliary storage device 3030 via a recording medium reader or a communication device 3060. The programs and data stored in the auxiliary storage device 3030 are read into the main storage device 3020 as needed.

[0057] The input device 3040 is an interface that accepts input from the outside, and is, for example, a keyboard, a mouse, a touch panel, a card reader, a pen-input tablet, a voice input device, or the like.

[0058] The output device 3050 is an interface that outputs various information such as the progress of processing and the results of processing. The output device 3050 is, for example, a display device (LCD (Liquid Crystal Display), graphic card, etc.) that visualizes the various information described above, a device that converts the various information described above into voice (voice output device (speaker, etc.)), or a device that converts the various information described above into text (printer, etc.). The information processing device 300 may be configured to input and output information to and from other devices via the communication device 3060.

[0059] The input device 3040 and the output device 3050 constitute a user interface that receives and presents information to and from the user.

[0060] The communication device 3060 is a device that realizes communication (wired communication or wireless communication) with other devices via a communication infrastructure such as a communication network 500, and is configured using, for example, a NIC (Network Interface Card), a wireless communication module, a USB module, etc.

[0061] The information processing device 300 may include, for example, an operating system, a file system, a data base management system (DBMS) (relational database, NoSQL, etc.), a key-value store (KVS), etc.

[0062] The functions of the sketch image creation system 600 are realized by the processor 3010 of the information processing device 300 executing a program (control program) loaded into the main memory device 3020, or by the functions of the hardware (FPGA, ASIC, AI chip, etc.) constituting the sketch image creation system 600. For example, the memory unit 340 in Fig. 3 is realized by the main memory device 3020 and the auxiliary memory device 3030, the input unit 310 in Fig. 3 is realized by the input device 3040, the creation unit 320 in Fig. 3 is realized by the processor 3010, and the output unit 330 in Fig. 3 is realized by the output device 3050 and the communication device 3060.

[0063] FIG. 8 is a flowchart showing a process performed by the information processing device 300 to learn the learning model 343 using the learning data 342.

[0064] First, as shown in FIG. 4, the information processing device 300 generates learning data 342 for the boring core 100 in which the features (A) "photographed image of the boring core 100," (B) "geological information of the boring core 100," (C) "RQD information of the boring core 100," and (D) "geological judgment examples of the boring core 100" are associated with the label (E) "sketch image of the boring core 100" (S1000).

[0065] Next, the information processing device 300 uses the learning data 342 to train the learning model 343 (S1010). Note that the information processing device 300 may verify the prediction accuracy of the trained learning model 343. In this case, the information processing device 300 prepares learning data and verification data as the learning data 342, trains the learning model 343 using the learning data, and verifies the learning model 343 using the verification data.

[0066] FIG. 9 is a flowchart showing a process in which the information processing device 300 uses the learning model 343 to create a sketch image of the bowling core 700 from a current captured image of the bowling core 700.

[0067] First, the information processing device 300 determines whether data indicating a current captured image of the boring core 700 has been input to the input unit 310 (S2000). When the information processing device 300 determines that the above data has not been input to the input unit 310 (S2000: NO), it executes the process of step S2000 again.

[0068] Next, when the information processing device 300 determines that the above data has been input to the input unit 310 (S2000: YES), it creates a sketch image of the bowling core 700 using the learning model 343 (S2010).

[0069] Next, the information processing device 300 outputs data indicating the sketch image of the bowling core 700 created by the learning model 343 from the output unit 330 (S2030).

[0070] As described above, the information processing device 300 having a processor 3010 and a memory device (main memory device 3020, auxiliary memory device 3030) stores a learning model 343 that learns based on learning data 342 that associates features indicating a photographed image of a boring core 100 taken from a geological stratum with a label indicating a sketch image of the boring core 100 in the past, and currently creates a sketch image of the boring core 700 by inputting a photographed image of a boring core 700 taken from a geological stratum into the learning model 343.

[0071] According to the information processing device 700, it is possible to create a sketch image of the boring core 700 with a certain degree of accuracy based on the current photographed image of the boring core 700 without having to hire a specialized worker to create the sketch image.

[0072] In addition, in the information processing device 300, the sketch image of the boring core 100 is an image including a description of the geology of the boring core 100, and the sketch image of the boring core 700 is also an image including a description of the geology of the boring core 700.

[0073] According to the information processing device 300, it is possible to create a sketch image of the boring core 700 including geological information based on the current photographed image of the boring core 700.

[0074] In addition, in the information processing device 300, the feature amount of the learning data 342 includes information indicating the geology of the boring core 100.

[0075] According to the information processing device 300, the learning accuracy of the learning model 343 is improved, so that it is possible to improve the accuracy when creating a sketch image of the bowling core 700.

[0076] In addition, in the information processing device 300, the feature amount of the learning data 342 includes information on the RQD, which is an index representing the number of fractures in the geology of the boring core 100.

[0077] According to the information processing device 300, the learning accuracy of the learning model 343 is improved, so that it is possible to improve the accuracy when creating a sketch image of the bowling core 700.

[0078] In addition, in the information processing device 300, the feature amount of the learning data 342 includes information indicating a judgment example of the geology of the boring core 100.

[0079] According to the information processing device 300, the learning accuracy of the learning model 343 is improved, so that it is possible to improve the accuracy when creating a sketch image of the bowling core 700.

[0080] The above-described embodiment is for the purpose of facilitating understanding of the present invention, and is not intended to limit the present invention. The present invention may be modified or improved without departing from the spirit of the present invention, and equivalents thereof are also included in the present invention. [Explanation of symbols]

[0081] 100,100A~100E,700 Boring core 200 Storage Box 210A~210E Storage area 300 Information processing device 310 Input section 320 Creation Department 330 Output section 340 Storage section 341 Control Program 342 Training Data 343 Learning Model 400 External Computer 410 Storage section 500 Communication Network 600 Sketch Image Creation System 3010 Processor 3020 Main storage 3030 Auxiliary storage 3040 Input Device 3050 output device 3060 Communication Equipment 3431 Input Layer 3432 Middle Class 3433 Output Layer

Claims

1. A processor and a storage device are included. A learning model is stored that performs learning based on learning data in which a feature amount indicating a first photographed image of a first boring core collected from a stratum in the past is associated with a label indicating a first sketch image of the first boring core; Now, a second photographed image of a second boring core taken from the stratum is input to the learning model to generate a second sketch image of the second boring core. Information processing device.

2. 2. The information processing device according to claim 1, The first sketch image is an image including a description of the geology of the first boring core; The second sketch image is an image including a description of the geology of the second borehole core. Information processing device.

3. 3. The information processing device according to claim 2, The feature amount includes information indicating the geology of the first boring core. Information processing device.

4. 4. The information processing device according to claim 3, The feature amount includes information on Rock Quality Designation (RQD), which is an index indicating the number of fractures in the geology of the first boring core. Information processing device.

5. 2. The information processing device according to claim 1, The feature amount includes information indicating a judgment example of the geology of the first boring core. Information processing device.

6. An information processing device having a processor and a storage device, A learning model is stored that performs learning based on learning data in which a feature amount indicating a first photographed image of a first boring core collected from a stratum in the past is associated with a label indicating a first sketch image of the first boring core; Now, a second photographed image of a second boring core taken from the stratum is input to the learning model to generate a second sketch image of the second boring core. Information processing methods.

7. 7. An information processing method according to claim 6, The first sketch image is an image including a description of the geology of the first boring core; The second sketch image is an image including a description of the geology of the second borehole core. Information processing methods.

8. 8. An information processing method according to claim 7, The feature amount includes information indicating the geology of the first boring core. Information processing methods.

9. 9. The information processing method according to claim 8, The feature amount includes information on Rock Quality Designation (RQD), which is an index indicating the number of fractures in the geology of the first boring core. Information processing methods.

10. 7. An information processing method according to claim 6, The feature amount includes information indicating a judgment example of the geology of the first boring core. Information processing methods.

Images