Information processing device and estimation device

Abstract

An information processing device (10) comprises a control unit (11) that: acquires inspection information indicating an installation period of a plurality of structures provided in the ground and the degree of deterioration of a lining member provided to each of the plurality of structures; divides the inspection information into groups for each attribute of an underground environment in which each of the plurality of structures is provided; and, on the basis of the inspection information of each group, generates, for each group, a model for estimating the degree of deterioration of a target lining member provided to a target structure when the installation period of the target structure is inputted.

Description

Information processing device and estimation device

[0001] The present disclosure relates to an information processing device and an estimation device.

[0002] There exists a tunnel constructed in the natural ground, which comprises a primary lining and a secondary lining along the circumferential direction of the tunnel. Figures 8A and 8B show a cross section perpendicular to the axial direction of a tunnel TN comprising a primary lining L1 and a secondary lining L2. As shown in Figures 8A and 8B, the primary lining L1 is provided to cover the secondary lining L2 on the radially inner side of the tunnel from the outside. The primary lining L1 includes multiple steel segments, and the secondary lining L2 includes concrete. As shown in Figure 8B, over time, the thickness of the primary lining L1 of the underground tunnel TN shown in Figure 8A decreases from its initial position indicated by the dashed line due to the progression of corrosion. Furthermore, the secondary lining L2 may develop cracks or other defects, which may reduce the overall strength of the tunnel TN over time. It is known that the rate at which underground steel deteriorates varies depending on the natural ground environment. For example, Non-Patent Document 1 discloses a statistical study of corrosion weight loss of civil engineering steel materials in buried environments.

[0003] Susumu Moriya and two others, "Statistical Study of the Corrosion Properties of Steel Piles and Steel Sheet Piles in the Soil," Civil Engineering Journal, March 2005, pp. 47-3, 52-57, 2005, [online], [Retrieved May 26, 2024], Internet<URL: https: / / www.pwrc.or.jp / thesis_shouroku / thesis_pdf / 0503-P052-057_moriya.pdf>

[0004] Because the relationship between the degree of deterioration of the primary lining and the environment of the river and ground that the primary lining contacts is uncertain, tunnel inspections are often carried out uniformly for multiple tunnels. There is a need for more efficient inspections of structures with lining materials.

[0005] The purpose of the present disclosure, made in consideration of the above circumstances, is to improve the efficiency of inspection of structures equipped with lining members.

[0006] An information processing device according to one embodiment acquires inspection information indicating the installation period of a plurality of structures installed underground and the degree of deterioration of the lining materials equipped on each of the plurality of structures, divides the inspection information into groups based on the attributes of the underground environment in which each of the plurality of structures is installed, and, based on the inspection information for each group, generates a model for each group that estimates the degree of deterioration of the target lining materials equipped on the target structures when the installation period of the target structures is input.

[0007] An estimation device according to one embodiment acquires information indicating the installation period of at least one structure installed underground and the attributes of the underground environment in which the at least one structure is installed; acquires a plurality of models generated for each attribute of the underground environment in which each of a plurality of structures is installed, each of which estimates the degree of deterioration of a covering material provided on the target structure when the installation period of a target structure is input; selects from the plurality of models a model corresponding to the attributes of the underground environment indicated by the acquired information; and is equipped with a control unit that inputs the installation period indicated by the acquired information into the selected model and estimates the degree of deterioration of the covering material provided on the at least one structure.

[0008] According to the present disclosure, it is possible to improve the efficiency of inspection of structures equipped with lining members.

[0009] 1 is a block diagram showing the configuration of the system; FIG. 2 is a diagram for explaining a tunnel; FIG. 3 is a flowchart showing an example of the operation of the system; FIG. 4 is a table for explaining inspection information; FIG. 5 is a graph showing the distribution of each tunnel indicated by the inspection information; FIG. 6 is a diagram showing a portion of map information; FIG. 7 is a graph for explaining a model; FIG. 8 is a diagram for explaining a tunnel; FIG. 9 is a diagram for explaining a tunnel.

[0010] Hereinafter, an embodiment of the present disclosure will be described with reference to the drawings.

[0011] In each drawing, the same or corresponding parts are denoted by the same reference numerals. In the description of this embodiment, the description of the same or corresponding parts will be omitted or simplified as appropriate.

[0012] The configuration of a system 1 according to this embodiment will be described with reference to Fig. 1. The system 1 includes an information processing device 10 and an estimation device 20.

[0013] The information processing device 10 and the estimation device 20 are, for example, general-purpose computers such as PCs or tablets, server computers such as cloud servers, or dedicated computers. "PC" is an abbreviation for personal computer.

[0014] The information processing device 10 and the estimation device 20 can communicate with each other via a network 40. The network 30 includes the Internet, at least one WAN, at least one MAN, or a combination thereof. "WAN" is an abbreviation for wide area network. "MAN" is an abbreviation for metropolitan area network. The network 30 may include at least one wireless network, at least one optical network, or a combination thereof. The wireless network is, for example, an ad hoc network, a cellular network, a wireless LAN, a satellite communication network, or a terrestrial microwave network. "LAN" is an abbreviation for local area network.

[0015] An overview of this embodiment will be described with reference to FIGS. 1 and 2 . An information processing device 10 acquires inspection information indicating the installation periods of multiple structures installed underground and the degree of deterioration of the lining materials provided for each of the multiple structures, and divides the inspection information into groups based on the attributes of the underground environment in which each of the multiple structures is installed. When the installation period of a target structure is input, the information processing device 10 generates a model for each group that estimates the degree of deterioration of a target lining material provided for the target structure based on the inspection information of each group. An estimation device 20 acquires information indicating the installation period of at least one structure installed underground and the attributes of the underground environment in which the at least one structure is installed. The estimation device 20 acquires the model generated by the information processing device 10. That is, the estimation device 20 acquires multiple models generated for each attribute of the underground environment in which each of the multiple structures is installed, and when the installation period of the target structure is input, the multiple models each estimate the degree of deterioration of a lining material provided for the target structure. The estimation device 20 selects from among a plurality of models a model that corresponds to the attributes of the underground environment indicated by the acquired information, inputs the installation period indicated by the acquired information into the selected model, and estimates the degree of deterioration of the lining material provided in the at least one structure. In this embodiment, the installation period is the number of years since installation, but it may also be counted in units other than years, such as months or days.

[0016] In this embodiment, the structure is a tunnel T. However, the structure is not limited thereto, and may be a manhole, a basement, or the like. The lining member is installed on the exposed surface of the soil after the excavation of the tunnel T. The lining member includes a primary lining and a secondary lining. The primary lining is installed so as to cover from the outside the secondary lining on the radially inner side of the tunnel T. FIG. 2 shows the tunnel T according to this embodiment. The primary lining according to this embodiment is a plurality of steel segments S installed along the circumferential direction of the tunnel T. The secondary lining according to this embodiment is concrete W. The tunnel T includes a shield tunnel for laying communication cables, gas pipes, power transmission lines, etc. As shown in FIG. 2, inside the tunnel T, facilities E on which cables C are installed and walkways P for workers to move are installed. The tunnel T is installed at a depth of, for example, 10 to 30 meters from the ground surface. Each of the plurality of steel segments S has an arc-shaped cross section. The plurality of steel segments S are connected to each other in the circumferential direction of the tunnel via joints. The steel segments S connected around the tunnel are further connected in the axial direction of the tunnel. The steel segments S may be provided on their outer surfaces with skin plates that come into direct contact with the soil.

[0017] According to this embodiment, it is possible to predict the degree of deterioration at the present time or at a future time for multiple steel segments S installed in a tunnel T. This makes it easier to plan maintenance work, such as prioritizing the inspection of each tunnel T according to the degree of deterioration, compared to when inspection work is performed uniformly for multiple tunnels T regardless of the installation environment. This makes it possible to improve the efficiency of inspections of structures equipped with lining members.

[0018] The configuration of an information processing device 10 according to this embodiment will be described with reference to Fig. 1. The information processing device 10 includes a control unit 11, a storage unit 12, a communication unit 13, an input unit 14, and an output unit 15.

[0019] The control unit 11 includes at least one processor, at least one programmable circuit, at least one dedicated circuit, or any combination thereof. The processor is a general-purpose processor such as a CPU or GPU, or a dedicated processor specialized for specific processing. "CPU" is an abbreviation for central processing unit. "GPU" is an abbreviation for graphics processing unit. An example of the programmable circuit is an FPGA. "FPGA" is an abbreviation for field-programmable gate array. An example of the dedicated circuit is an ASIC. "ASIC" is an abbreviation for application specific integrated circuit. The control unit 11 executes processing related to the operation of the information processing device 10 while controlling each unit of the information processing device 10.

[0020] The storage unit 12 includes at least one semiconductor memory, at least one magnetic memory, at least one optical memory, or any combination thereof. The semiconductor memory is, for example, a RAM, a ROM, or a flash memory. "RAM" is an abbreviation for random access memory. "ROM" is an abbreviation for read only memory. RAM is, for example, an SRAM or a DRAM. "SRAM" is an abbreviation for static random access memory. "DRAM" is an abbreviation for dynamic random access memory. ROM is, for example, an EEPROM. "EEPROM" is an abbreviation for electrically erasable programmable read only memory. Flash memory is, for example, an SSD. "SSD" is an abbreviation for solid-state drive. Magnetic memory is, for example, an HDD. "HDD" is an abbreviation for hard disk drive. The storage unit 12 functions, for example, as a main storage device, an auxiliary storage device, or a cache memory. The storage unit 12 stores information used in the operation of the information processing device 10 and information obtained by the operation of the information processing device 10 .

[0021] The communication unit 13 includes at least one communication module. The communication module is, for example, a module compatible with a wired LAN communication standard such as Ethernet (registered trademark), a wireless LAN communication standard such as IEEE 802.11, or a mobile communication standard such as LTE, 4G standard, or 5G standard. "IEEE" is an abbreviation for Institute of Electrical and Electronics Engineers. "LTE" is an abbreviation for Long Term Evolution. "4G" is an abbreviation for 4th generation. "5G" is an abbreviation for 5th generation. The communication unit 13 receives information used in the operation of the information processing device 10 and transmits information obtained by the operation of the information processing device 10.

[0022] The input unit 14 includes at least one input interface. The input interface is, for example, a physical key, a capacitance key, a pointing device, a touch screen integrated with a display, or a microphone. The input unit 14 accepts an operation to input information used in the operation of the information processing device 10. The input unit 14 may be connected to the information processing device 10 as an external input device instead of being provided in the information processing device 10. Any connection method can be used, such as a Universal Serial Bus (USB), a High-Definition Multimedia Interface (HDMI) (registered trademark), or Bluetooth (registered trademark).

[0023] The output unit 15 includes at least one output interface. The output interface is, for example, a display or a speaker. The display is, for example, an LCD (Liquid Crystal Display) or an organic EL (Electro Luminescent) display. The output unit 15 outputs information obtained by the operation of the information processing device 10. The output unit 15 may be connected to the information processing device 10 as an external output device instead of being provided in the information processing device 10. Any connection method can be used, such as USB, HDMI (registered trademark), or Bluetooth (registered trademark).

[0024] The configuration of an estimation device 20 according to this embodiment will be described with reference to Fig. 1. The estimation device 20 includes a control unit 21, a storage unit 22, a communication unit 23, an input unit 24, and an output unit 25.

[0025] The control unit 21 includes at least one processor, at least one programmable circuit, at least one dedicated circuit, or any combination thereof. The processor is a general-purpose processor such as a CPU or GPU, or a dedicated processor specialized for a specific process. The programmable circuit is, for example, an FPGA. The dedicated circuit is, for example, an ASIC. The control unit 21 executes processes related to the operation of the estimation device 20 while controlling each part of the estimation device 20.

[0026] The storage unit 22 includes at least one semiconductor memory, at least one magnetic memory, at least one optical memory, or any combination thereof. The semiconductor memory is, for example, a RAM, a ROM, or a flash memory. The RAM is, for example, an SRAM or a DRAM. The ROM is, for example, an EEPROM. The flash memory is, for example, an SSD. "SSD" is an abbreviation for solid-state drive. The magnetic memory is, for example, an HDD. The storage unit 22 functions as, for example, a main storage device, an auxiliary storage device, or a cache memory. The storage unit 22 stores information used in the operation of the estimation device 20 and information obtained by the operation of the estimation device 20.

[0027] The communication unit 23 includes at least one communication module. The communication module is, for example, a module compatible with a wired LAN communication standard such as Ethernet (registered trademark), a wireless LAN communication standard such as IEEE 802.11, or a mobile communication standard such as LTE, 4G standard, or 5G standard. The communication unit 23 receives information used in the operation of the estimation device 20 and transmits information obtained by the operation of the estimation device 20.

[0028] The input unit 24 includes at least one input interface. The input interface is, for example, a physical key, a capacitance key, a pointing device, a touch screen integrated with a display, or a microphone. The input unit 24 accepts an operation to input information used in the operation of the estimation device 20. The input unit 24 may be connected to the estimation device 20 as an external input device instead of being provided in the estimation device 20. Any connection method can be used, such as USB, HDMI (registered trademark), or Bluetooth (registered trademark).

[0029] The output unit 25 includes at least one output interface. The output interface is, for example, a display or a speaker. The display is, for example, an LCD or an organic EL display. The output unit 25 outputs information obtained by the operation of the estimation device 20. The output unit 25 may be connected to the estimation device 20 as an external output device instead of being provided in the estimation device 20. Any connection method can be used, such as USB, HDMI (registered trademark), or Bluetooth (registered trademark).

[0030] The functions of the information processing device 10 or the estimation device 20 are realized by executing a program according to this embodiment on a processor serving as the control unit 11 or the control unit 21. That is, the functions of the information processing device 10 or the estimation device 20 are realized by software. The program causes a computer to execute the operations of the information processing device 10 or the estimation device 20, thereby causing the computer to function as the information processing device 10 or the estimation device 20. That is, the computer functions as the information processing device 10 or the estimation device 20 by executing the operations of the information processing device 10 or the estimation device 20 in accordance with the program.

[0031] The program can be stored on a non-transitory computer-readable medium. Examples of the non-transitory computer-readable medium include flash memory, magnetic recording devices, optical disks, magneto-optical recording media, and ROMs. The program can be distributed by selling, transferring, or lending portable media such as SD cards, DVDs, or CD-ROMs that store the program. "SD" is an abbreviation for Secure Digital. "DVD" is an abbreviation for digital versatile disc. "CD-ROM" is an abbreviation for compact disc read only memory. The program can also be distributed by storing it in the storage of a server and transferring it from the server to another computer. The program can also be provided as a program product.

[0032] A computer temporarily stores a program stored on a portable medium or transferred from a server in its main storage device. The computer then reads the program stored in the main storage device with its processor and executes processing in accordance with the read program. The computer may also read the program directly from the portable medium and execute processing in accordance with the program. The computer may also execute processing in accordance with the received program each time a program is transferred from the server to the computer. Processing may also be executed using a so-called ASP-type service that realizes functions simply by issuing execution instructions and obtaining results, without transferring the program from the server to the computer. "ASP" is an abbreviation for application service provider. A program is information used for processing by a computer and includes something equivalent to a program. For example, data that is not a direct instruction to a computer but has properties that define computer processing falls under the category of "something equivalent to a program."

[0033] Some or all of the functions of the information processing device 10 or the estimation device 20 may be realized by a programmable circuit or a dedicated circuit as the control unit 11 or the control unit 21. In other words, some or all of the functions of the information processing device 10 or the estimation device 20 may be realized by hardware.

[0034] Next, the operation of the system 1 according to this embodiment will be described with reference to FIGS.

[0035] In step S101 of Fig. 3, the control unit 11 of the information processing device 10 acquires inspection information indicating the installation period of each of the multiple tunnels T, the degree of deterioration of the multiple steel segments S as primary linings provided in each of the multiple tunnels T, and the locations of the multiple tunnels T. The inspection information is information created based on the results of inspection work on the multiple tunnels T. Specifically, the control unit 11 reads out the inspection information from the storage unit 12. However, without being limited to this, the control unit 11 may communicate with an external server device having a database that stores inspection information and receive the inspection information.

[0036] Specifically, the degree of deterioration is the corrosion depth in the multiple steel segments S. The corrosion depth is, for example, the value of the corrosion depth in at least one steel segment S inspected as a sample among the multiple steel segments S. Without being limited to this, the corrosion depth may be the maximum value, median value, or average value of the corrosion depth in two or more steel segments S inspected as samples. The positions where each of the multiple tunnels T is installed may be represented by coordinates.

[0037] Figure 4 shows inspection information according to this embodiment. While Figure 4 shows the inspection information in a table format, the format of the inspection information is not limited to this. Referring to Figure 4, the installation period of tunnel T1 is three years, the corrosion depth as a degree of deterioration of the steel segment S is X mm, and the coordinates of the location where tunnel T1 is installed are latitude Y and longitude Z. The installation period of tunnel T2 is five years, the corrosion depth of the steel segment S is P mm, and the coordinates of the location of tunnel T2 are latitude Q and longitude R.

[0038] Fig. 5 is a graph showing the distribution of inspection results for each tunnel T indicated by the inspection information. In Fig. 5, the horizontal axis represents the installation period of the tunnel T, and the vertical axis represents the corrosion depth (mm) as the degree of corrosion of the steel segments S. As shown in Fig. 5, the distribution of inspection results for multiple tunnels T indicated by the inspection information varies.

[0039] In step S102 of Figure 3, the control unit 21 acquires information indicating the attributes of the underground environment of each of the multiple tunnels T indicated by the inspection information. The attribute of the underground environment in this embodiment is earth resistivity. The ease of underground current flow, moisture content, or ground type, which change depending on the earth resistivity, affect the deterioration of the steel segments S. The lower the earth resistivity, the greater the impact on the deterioration of the steel segments S. The progression of corrosion of steel materials buried underground is affected by soil quality or water quality, but earth resistivity is useful because it is a numerical value that can evaluate the impact of both the soil quality and water quality.

[0040] Specifically, the control unit 11 refers to map information that segments regions according to the range of earth resistivity, and extracts the range to which the earth resistivity of each tunnel T belongs based on the coordinates of each tunnel T indicated by the inspection information. The map information may be stored in advance in the memory unit 12. Alternatively, the control unit 11 may communicate with an external server device and receive map information from the server device. FIG. 6 shows a portion of the map information. In FIG. 6, the shaded area indicates an area where the earth resistivity is in the range of 0 to less than 10. The dotted area indicates an area where the earth resistivity is in the range of 10 to less than 100. The black area indicates an area where the earth resistivity is in the range of 100 or more. FIG. 6 shows the position of tunnel T1 according to the coordinates (Y, Z) and the position of tunnel T2 according to the coordinates (Q, R). The position of tunnel T1 at coordinates (Y, Z) is included in an area where the earth resistivity is in the range of 0 or more and less than 10, and the position of tunnel T2 at coordinates (Q, R) is included in an area where the earth resistivity is in the range of 10 or more and less than 100. Therefore, the control unit 11 extracts from the map information the range of 0 or more and less than 10 as the range of earth resistivity of tunnel T1, and the range of 10 or more and less than 100 as the range of earth resistivity of tunnel T2, and obtains the extracted ranges as information indicating the attributes of the underground environment.

[0041] The present invention is not limited to this, and any method may be adopted to acquire information indicating attributes of the underground environment. For example, the information indicating attributes of the underground environment may be included in advance in the inspection information. For example, the control unit 11 may accept user input of information indicating attributes of the underground environment for each tunnel T via the input unit 14 and acquire the information.

[0042] In step S103, the control unit 11 divides the inspection information acquired in S101 into groups based on the earth resistivity, which is an attribute of the underground environment in which each of the multiple tunnels T is installed. Specifically, the control unit 11 divides the inspection information into groups according to the range of earth resistivity extracted in S102. The control unit 11 divides one or more tunnels T whose earth resistivity is in the range of 0 or more and less than 10 into a group whose degree of influence on deterioration is "large." The control unit 11 divides one or more tunnels T whose earth resistivity is in the range of 10 or more and less than 100 into a group whose degree of influence on deterioration is "medium." The control unit 11 divides one or more tunnels T whose earth resistivity is in the range of 100 or more into a group whose degree of influence on deterioration is "small." In the examples shown in FIGS. 4 and 6 , the control unit 11 divides the inspection information of tunnel T1 into a group whose degree of influence on deterioration is "large," and the inspection information of tunnel T2 into a group whose degree of influence on deterioration is "medium."

[0043] As a modified example, the attributes of the underground environment indicated by the information acquired in S102 may be soil types such as mud, muddy soil, marl, clayey marl, humus soil, clay, loamy ash soil, loamy sand, loamy yellow sand, calcareous marl, sandy marl, or sand. In this case, the control unit 11 classifies the inspection information of tunnels T whose underground environment attributes are mud, muddy soil, or marl into a group with a "large" degree of impact on deterioration, and the inspection information of tunnels T whose underground environment attributes are clayey marl, humus soil, or clay into a group with a "medium" degree of impact on deterioration. The control unit 11 further classifies the inspection information of tunnels T whose underground environment attributes are loamy ash soil, loamy sand, or loamy yellow sand into a group with a "small" degree of impact on deterioration, and the inspection information of tunnels T whose underground environment attributes are calcareous marl, sandy marl, or sand into a group with a "very small" degree of impact on deterioration. This allows the control unit 11 to divide the inspection information of multiple tunnels T into groups, taking into account the moisture retention rate or air permeability, which vary depending on the soil type and affect the deterioration of the steel segments S.

[0044] As a modified example, the attribute of the underground environment indicated by the information acquired in S102 may be a soil condition such as heterogeneous soil, replacement soil or fill, natural soil, or homogeneous soil. In this case, the control unit 11 classifies the inspection information of tunnels T whose underground environment attribute is heterogeneous soil into a group with a "large" degree of impact on deterioration, and the inspection information of tunnels T whose underground environment attribute is replacement soil or fill into a group with a "medium" degree of impact on deterioration. The control unit 11 further classifies the inspection information of tunnels T whose underground environment attribute is natural soil or homogeneous soil into a group with a "small" degree of impact on deterioration. This enables the control unit 11 to classify the inspection information of multiple tunnels T into groups taking into account factors such as salt concentration or oxygen concentration, which differ for each soil condition and affect the deterioration of the steel segments S.

[0045] As a modified example, the attribute of the underground environment may be a pH value. In this case, the control unit 11 classifies the inspection information of tunnels T with a pH value of less than 6 into a group with a "medium" degree of impact on deterioration, and the inspection information of tunnels T with a pH value of 6 or more into a group with a "small" degree of impact on deterioration. This allows the control unit 11 to classify the inspection information of multiple tunnels T into groups, taking into account the dissolution of metal by acid, which affects the deterioration of the steel segments S.

[0046] In step S104, when the installation period of the target tunnel as the target structure is input based on the inspection information divided into each group in S103, the control unit 11 generates a model that estimates the degree of deterioration of the target steel segment as the target lining member provided in the target tunnel. That is, the control unit 11 generates a model for each group. The control unit 11 stores the generated model in the memory unit 12. Any method may be adopted to generate the model. The control unit 11 may generate the model using any linear regression or nonlinear regression method. The control unit 11 may generate the model using any machine learning method.

[0047] In this embodiment, the control unit 11 generates a model M1 for a group with a "large" degree of influence on deterioration, a model M2 for a "medium" group, and a model M3 for a "small" group. The following formula 1 is an example of model M1, formula 2 is an example of model M2, and formula 3 is an example of model M3. In formulas 1 to 3, y represents the corrosion depth of the steel segment, and t represents time. The unit of corrosion depth y is mm, and the unit of time t is years. y=0.2t ０．５ (Formula 1) y = 0.05t ０．５ (Equation 2) y = 0.02t ０．５ (Formula 3)

[0048] 7, the distribution of the multiple tunnels T in FIG. 5 is shown divided into a group with a "large" degree of influence on degradation and a group with a "medium" degree of influence on degradation, and furthermore, model M1 according to the above-mentioned formula 1 and model M2 according to formula 2 are respectively indicated by dotted lines. Referring to FIG. 7, model M1 according to the group with a "large" degree of influence on degradation has a steeper slope than model M2 according to the group with a "medium" degree of influence on degradation, indicating that corrosion progresses more quickly.

[0049] 3 , the control unit 11 transmits the model generated in S104 to the estimation device 20. Specifically, the control unit 11 transmits the models M1 to M3 stored in the storage unit 12 to the estimation device 20 via the communication unit 13.

[0050] In step S106, the control unit 21 of the estimation device 20 receives models from the information processing device 10. Specifically, the control unit 21 receives models M1 to M3 via the communication unit 23. The control unit 21 stores the received models M1 to M3 in the storage unit 22.

[0051] In step S107, the control unit 21 acquires information indicating the installation age of at least one structure to be estimated and the attributes of the underground environment in which the at least one structure is located. In this embodiment, the at least one structure is a target tunnel, and the attribute of the underground environment is earth resistivity. The control unit 21 accepts user input of information indicating the installation age of the target tunnel and the attributes of the underground environment via the input unit 24, and acquires the information. Without being limited to this, the control unit 21 may, for example, accept user input of location information indicating the location of the tunnel, and extract the attributes of the underground environment of the tunnel based on the location information and the map information shown in FIG. 6 . In this case, the map information may be stored in advance in the storage unit 22.

[0052] In step S108, the control unit 21 selects a model according to the earth resistivity indicated by the information acquired in S107. Specifically, the control unit 21 selects a model according to the range to which the earth resistivity indicated by the information acquired in S107 belongs. The control unit 21 selects model M1 if the earth resistivity of the target tunnel is in the range of 0 or more and less than 10. The control unit 21 selects model M2 if the earth resistivity of the target tunnel is in the range of 10 or more and less than 100. The control unit 21 selects model M3 if the earth resistivity of the target tunnel is in the range of 100 or more.

[0053] In step S109, the control unit 21 inputs the installation years indicated by the information acquired in S107 into the model selected in S108. The control unit 21 outputs the value output by the model via the output unit 25. Specifically, the value is the corrosion depth of the target steel segment provided in the target tunnel. Thereafter, the operation of the system 1 ends.

[0054] The installation age may be the installation age of the target tunnel at the time of the estimation, or may be a user-defined age longer than the installation age at the time of the estimation. When an installation age longer than the installation age at the time of the estimation is input, the model selected in S108 can accurately estimate the degree of deterioration at any time in the future. This allows the user to flexibly determine the inspection schedule for the target tunnel. If the corrosion depth of the target steel segment output by the estimation device 20 is equal to or greater than a predetermined value, the user may, for example, determine the inspection interval for the target tunnel to be shorter than the usual interval, such as every five years, such as every two years.

[0055] For example, suppose there are 100 target tunnels, and seven of them have the corrosion depth of the target steel segments, as output by the estimation device 20, equal to or greater than a predetermined value. Furthermore, suppose that it takes 2.36 days to inspect one tunnel. In this case, the user may determine an inspection schedule to inspect only those seven tunnels and inspect the remaining 93 tunnels as soon as deterioration becomes apparent. Thus, while uniform inspection of all 100 tunnels would require 2.36 days x 100 = 236 days, this embodiment requires only 2.36 days x 7 = 16.5 days. Thus, this embodiment allows for prioritization of tunnel inspections, thereby improving inspection efficiency.

[0056] For example, for a tunnel whose degree of deterioration in the near future is above a predetermined value, a user can install a camera to photograph the tunnel, so that if a problem such as a crack occurs, they can take immediate action.

[0057] As a variation of the above embodiment, the map information referenced by the control unit 11 of the information processing device 10 in step S102 may be a map of the earth resistivity values ​​themselves, instead of segmenting regions according to earth resistivity ranges. In this case, the control unit 11 extracts the earth resistivity of each tunnel T from the map information based on the coordinates indicated by the inspection information. In step S103, the control unit 11 determines the range to which the extracted earth resistivity belongs and divides the inspection information into groups according to the determined range. Specifically, if the control unit 11 determines that the extracted earth resistivity falls within the range of 0 or more and less than 10, it divides the inspection information of the tunnel T into a group with a "large" degree of impact on deterioration. If the control unit 11 determines that the extracted earth resistivity falls within the range of 10 or more and less than 100, it divides the inspection information of the tunnel T into a group with a "medium" degree of impact on deterioration. If the control unit 11 determines that the extracted earth resistivity falls within the range of 100 or more, it divides the inspection information of the tunnel T into a group with a "small" degree of impact on deterioration.

[0058] As a variation of the above embodiment, the map information referenced by the control unit 21 of the estimation device 20 in step S107 may be a map of the earth resistivity values ​​themselves, instead of segmenting the region according to the earth resistivity range. In this case, the control unit 21 extracts the earth resistivity of the target tunnel from the map information based on the location information received from the user. In step S108, the control unit 21 determines the range to which the extracted earth resistivity belongs and selects a model according to the determined range. Specifically, if the control unit 21 determines that the extracted earth resistivity belongs to a range of 0 or more and less than 10, it selects model M1. If the control unit 21 determines that the extracted earth resistivity belongs to a range of 10 or more and less than 100, it selects model M2. If the control unit 21 determines that the extracted earth resistivity belongs to a range of 100 or more, it selects model M3.

[0059] REFERENCE SIGNS LIST 1 System 10 Information processing device 11 Control unit 12 Storage unit 13 Communication unit 14 Input unit 15 Output unit 20 Estimation device 21 Control unit 22 Storage unit 23 Communication unit 24 Input unit 25 Output unit 30 Network

Claims

1. An information processing device comprising: a control unit that acquires inspection information indicating the installation period of a plurality of structures installed underground and the degree of deterioration of the lining materials equipped on each of the plurality of structures; divides the inspection information into groups based on the attributes of the underground environment in which each of the plurality of structures is installed; and, when the installation period of a target structure is input based on the inspection information of each group, generates a model for each group that estimates the degree of deterioration of the target lining materials equipped on the target structure.

2. The information processing device according to claim 1, wherein the plurality of structures includes a tunnel, and the lining member provided on the tunnel includes a plurality of steel segments arranged along the circumferential direction of the tunnel.

3. The information processing device according to claim 1 or 2, wherein the attributes of the underground environment include earth resistivity.

4. An estimation device comprising: a control unit that acquires information indicating the installation period of at least one structure installed underground and the attributes of the underground environment in which the at least one structure is installed; acquires a plurality of models generated for each attribute of the underground environment in which each of a plurality of structures is installed, each of which estimates the degree of deterioration of a lining material provided on the target structure when the installation period of the target structure is input; selects from the plurality of models a model corresponding to the attributes of the underground environment indicated by the acquired information; inputs the installation period indicated by the acquired information into the selected model, and estimates the degree of deterioration of the lining material provided on the at least one structure.

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