Diagnosis device

Abstract

A control unit (11) of a diagnosis device (10) acquires a first model of a structure that includes elements for a plurality of conduits that are coupled in the axial direction and an element for at least one support member that supports the plurality of conduits in a direction that intersects the axial direction, outputs the acquired first model via an input / output unit (14), acquires information that is inputted by a user via the input / output unit (14) and indicates damage locations for the plurality of conduits and the at least one support member, generates a second model by setting strengths for the damage locations to the first model on the basis of the acquired information, analyzes the generated second model, and, on the basis of the results of the analysis, outputs the second model via the input / output unit (14) emphasizing portions at which the capacity is less than an allowable value.

Description

diagnostic equipment

[0001] The present disclosure relates to diagnostic devices.

[0002] Pipes for protecting water, gas, power cables, or communication cables are constructed as infrastructure structures. For the maintenance and management of infrastructure structures, visual inspections are primarily performed, and the condition of the structures is diagnosed based on the inspection results. For example, Non-Patent Document 1 discloses a judgment classification table for applying inspection results as a bridge diagnostic method. However, there is a possibility that diagnoses will vary depending on the experience or visual perception of the worker. For example, Non-Patent Document 2 discloses a method for diagnosing pipes other than visual inspection, such as radiographic testing.

[0003] Ministry of Land, Infrastructure, Transport and Tourism, Road Bureau, National Highway and Technical Division, "Guidelines for Periodic Bridge Inspection," [online], [Retrieved March 11, 2024], Internet<URL: https: / / www.mlit.go.jp / road / sisaku / yobohozen / tenken / yobo3_1_6.pdf> Tokyo Rigaku Kensa Co., Ltd. website, [online], [searched March 11, 2024], Internet<URL:https: / / tokyorigaku.co.jp / business / pipes / >

[0004] When methods other than visual inspection are used, rust or pipe wall thickness can only be quantitatively determined in a small area, and the strength of the entire piping system cannot be evaluated.

[0005] The present disclosure has been made in view of the above circumstances, and aims to enable easy and simple diagnosis of the strength of a structure.

[0006] A diagnostic device according to one embodiment is a diagnostic device comprising a control unit and an input / output unit, wherein the control unit: acquires a first model of a structure including elements of a plurality of pipelines connected in the axial direction and elements of at least one support member that supports the plurality of pipelines in a direction intersecting the axial direction; outputs the acquired first model via the input / output unit; acquires information indicating damaged locations of the plurality of pipelines and the at least one support member input by a user via the input / output unit; generates a second model in which strength of the damaged locations is set for the first model based on the acquired information; analyzes the generated second model; and outputs the second model via the input / output unit based on the results of the analysis, emphasizing portions where the yield strength is below an allowable value.

[0007] According to the present disclosure, it is possible to easily and conveniently diagnose the strength of a structure.

[0008] FIG. 1 is a block diagram illustrating a configuration of a diagnostic device according to an embodiment. FIG. 2 is a diagram illustrating an example of a pipeline and a support member. FIG. 3 is a diagram illustrating an example of a pipeline and a support member. FIG. 4 is a flowchart illustrating an example of an operation of the diagnostic device. FIG. 5 is a diagram illustrating an example of a first model. FIG. 6 is a diagram illustrating an example of a discontinuous portion. FIG. 7 is a diagram illustrating an example of a discontinuous portion. FIG. 8 is a diagram illustrating an example of a second model. FIG. 9 is a diagram illustrating a correlation between the degree of rust and a set intensity. FIG. 10 is a diagram illustrating a correlation between the degree of rust and a set intensity.

[0009] An embodiment will be described below with reference to the drawings.

[0010] 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.

[0011] An outline of this embodiment will be described with reference to FIG.

[0012] The diagnostic device 10 according to this embodiment is used by a user. In this embodiment, the user is a worker who performs maintenance and inspection work on a structure. The diagnostic device 10 is, for example, a mobile device such as a mobile phone, a smartphone, or a tablet, or a PC. "PC" is an abbreviation for personal computer.

[0013] The diagnostic device 10 acquires a first model M1 of a structure including elements PM of multiple pipelines P coupled in the axial direction and elements SM of at least one support member S that supports the multiple pipelines P in a direction intersecting the axial direction. The diagnostic device 10 outputs the acquired first model M1 and acquires information input by a user indicating damaged locations in the multiple pipelines P and the at least one support member S. Based on the acquired information, the diagnostic device 10 generates a second model M2 in which the strength of the damaged locations is set for the first model M1, and analyzes the generated second model M2. Based on the analysis results, the diagnostic device 10 outputs the second model M2 by emphasizing portions where the yield strength is below an allowable value.

[0014] The structure includes a bridge spanning a river, valley, bay, lowland, road, or the like. A plurality of axially connected pipes P and at least one support member S for securing the pipes P to the bridge are attached to the bridge. The plurality of pipes P are arranged along the longitudinal direction of the structure. FIGS. 2A to 2C show examples of the plurality of pipes P and at least one support member S provided on the structure. A communication cable is housed inside each of the pipes P1 to P3. Each of the pipes P1 to P3 in FIGS. 2A to 2C is supported in a direction intersecting the axial direction by a corresponding one of support members S1 to S3. The support member S2 in FIG. 2B is suspended from a top plate T and supports the pipe P2. The support member S3 in FIG. 2C is fixed to a wall W and supports the pipe P3. The first model M1 and the second model M2 geometrically represent the physical structure of the pipeline P and the support member S and numerically indicate material properties, etc. The second model M2 is used in a structural analysis simulation to predict the behavior of the structure. In this embodiment, a user visually inspects the pipeline P and the support member S of the structure and, if any damaged areas are found, inputs them into the diagnostic device 10. The user inputs the information by, for example, tapping the corresponding area of ​​the first model M1 displayed on the diagnostic device 10 with a finger, as described below. The diagnostic device 10 acquires information indicating the damaged areas, generates a second model M2 with a set strength, and analyzes the second model M2. As a result of the analysis, the diagnostic device 10 outputs the second model M2 with emphasis on areas with particularly low strength. This allows a user viewing the diagnostic device 10 to quickly identify areas of the pipeline P and the support member S that need to be repaired with priority and easily plan a repair construction schedule, thereby improving the efficiency of structural maintenance and management. Furthermore, as will be explained below, the first model M1 and the second model M2 are models expressed using one-dimensional elements, which reduces the calculation load compared to when complex three-dimensional elements are used, such as in the finite element method. Therefore, since calculations can be performed solely by the diagnostic device 10, it can be used to diagnose structures even in situations where communication is unavailable, such as during disasters such as earthquakes, and this increases convenience. Therefore, it is possible to easily and conveniently diagnose the strength of a structure.

[0015] The configuration of the diagnostic device 10 according to this embodiment will be described with reference to Fig. 1 again. The diagnostic device 10 includes a control unit 11, a storage unit 12, a communication unit 13, and an input / output unit 14.

[0016] 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 controls each part of the diagnostic device 10 and executes processing related to the operation of the diagnostic device 10.

[0017] 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 diagnostic device 10 and information obtained by the operation of the diagnostic device 10 .

[0018] 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 diagnostic device 10 and transmits information obtained by the operation of the diagnostic device 10.

[0019] The input / output unit 14 includes at least one input / output interface. The input / output interface includes a touch screen integrated with a display. The input / output unit 14 accepts an operation to input information used in the operation of the diagnostic device 10 and outputs information obtained by the operation of the diagnostic device 10. The input / output unit 14 may be connected to the diagnostic device 10 as an external input device instead of being provided in the diagnostic device 10. Any connection method, such as a Universal Serial Bus (USB), can be used. The input / output unit 14 may not be integrated, but may be composed of separate input and output units. In this case, the input unit includes at least one input interface, such as a physical key or a microphone. The output unit includes at least one output interface, such as a display or a speaker.

[0020] The functions of the diagnostic device 10 are realized by executing a program according to this embodiment on a processor serving as the control unit 11. That is, the functions of the diagnostic device 10 are realized by software. The program causes a computer to execute the operations of the diagnostic device 10, thereby causing the computer to function as the diagnostic device 10. That is, the computer functions as the diagnostic device 10 by executing the operations of the diagnostic device 10 in accordance with the program.

[0021] 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.

[0022] 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."

[0023] Some or all of the functions of the diagnostic device 10 may be realized by a programmable circuit or a dedicated circuit as the control unit 11. In other words, some or all of the functions of the diagnostic device 10 may be realized by hardware.

[0024] An example of the operation of the diagnostic device 10 will be described with reference to Fig. 3. Of the operations described below, the operation of the diagnostic device 10 corresponds to the method according to this embodiment.

[0025] In step S1, the control unit 11 of the diagnostic device 10 acquires a first model M1 of the structure. In this example, the control unit 11 acquires the first model M1 by reading information indicating the first model M1 stored in advance in the memory unit 12. In this embodiment, the first model M1 is a model including elements PM of multiple axially connected pipelines P and elements SM of at least one support member S that supports the multiple pipelines in a direction intersecting the axial direction. In the first model M1, various numerical values ​​indicating the material properties of the pipelines P and the support member S and an allowable value for the strength of the structure are preset. The greater the structural strength calculated by the analysis described below is below the allowable value and the greater the deviation from the allowable value, the more likely the part is to be damaged, collapse, or the like.

[0026] FIG. 4 is a diagram illustrating an example of the first model M1. In the first model M1 illustrated in FIG. 4, PM1, which represents the element PM of the multiple axially connected pipelines P, and elements SM1-1 to SM1-6 of the support member S, which represent the elements SM of the support member S, are each represented by a one-dimensional element. Each of the elements SM1-1 to SM1-6 of the support member S supports the element PM1 of the multiple pipelines P from below in a direction intersecting the axial direction of the element PM1 of the multiple pipelines P. In the first model M1, constraint conditions are set according to the direction in which each element is fixed or movable. For example, both longitudinal ends of the pipeline P are fixed to structures such as abutments provided at both longitudinal ends of the structure. Therefore, the fixation constraint conditions are also reflected at both ends of the element PM1 of the multiple pipelines P in the first model M1. Furthermore, for example, both ends of the support member S are completely fixed with bolts, as shown by the dashed lines in FIG. 2A. Therefore, the fixed constraint conditions are reflected at both ends of each of the elements SM1-1 to SM1-6 of the support member S of the first model M1.

[0027] In Fig. 4, an example of the distribution of loads applied to the first model M1 is indicated by dashed arrows. In the first model M1 in Fig. 4, even when a load is applied, the bearing strength of each of the element PM1 of the multiple pipelines P and the elements SM1-1 to SM1-6 of the support member S is sufficiently high, and no deformation occurs in each element.

[0028] 3, the control unit 11 outputs the first model M1 by displaying the first model M1 on a display serving as the input / output unit 14.

[0029] In step S3, the control unit 11 acquires information input by the user via the input / output unit 14, which information indicates damaged locations in the multiple pipelines P and at least one support member S. The information includes information indicating the location of the damaged location, the degree of rust, etc.

[0030] Any method may be employed to acquire the information. For example, the control unit 11 acquires a position selected by a user through a predetermined operation, such as tapping, on the first model M1 output to the input / output unit 14 as information indicating the location of the damaged area. The degree of rust is graded, for example, "none," "light," "moderate," "severe," "perforated," etc. The control unit 11 acquires information indicating the degree of rust when the user selects a display, such as a button, indicating the grade through a predetermined operation, such as tapping. FIG. 5 shows an example in which rust has progressed to form a hole in a conduit P, indicated by dotted hatching, exposing the cable C housed inside the conduit P. In this case, the user selects the position of the hole in the first model M1 displayed on the input / output unit 14, for example, by tapping with a finger. The user further taps a display, such as a button, indicating the "perforated" level of rust. As a result, the control unit 11 acquires information indicating a discontinuous damaged area in the conduit P, whose rust level is at the "perforated" level.

[0031] The information acquired in step S3 may include whether or not the conduits P have come loose. FIG. 6 shows an example of a case where the conduits P have come loose. In FIG. 6, the conduits P have come loose, exposing the cables C inside the conduits P. In this case, the user selects, for example, a position corresponding to the loose connection in the first model M1 displayed on the input / output unit 14 by tapping with a finger. The user further taps a display such as a button indicating that the conduits P have come loose. This causes the control unit 11 to acquire information indicating discontinuous damaged locations where the conduits P have come loose.

[0032] The acquired information may include whether or not the connection between the pipeline P and the support member S has come off. FIG. 7 shows an example of a case where the connection between the pipeline P and the support member S has come off. In FIG. 7, the support members S2-1 and S2-2 have broken and come off the top plate T, and have fallen downward by the amount of space indicated by the dashed lines. As a result, the connection between the support members S2-1 and S2-2 and the pipeline P has come off. In this case, the user selects, for example, a position corresponding to the disconnection in the first model M1 displayed on the input / output unit 14 by tapping with a finger. The user further taps a display such as a button indicating the disconnection between the support member S and the pipeline P. As a result, the control unit 11 acquires information indicating the discontinuous damaged area where the connection between the pipeline P and the support member S has come off.

[0033] In step S4 of FIG. 3 , the control unit 11 generates a second model M2 by setting the strength of the first model M1. For example, the control unit 11 sets a preset strength at the location of the damaged area of ​​the first model M1, which is indicated by the information acquired in step S3, depending on the degree of rust indicated by the information acquired in step S3. The control unit 11 sets a lower strength as the degree of rust increases. If the information acquired in step S3 indicates a discontinuous area as a damaged area, such as when the degree of rust is "hole present," when there is a disconnection between the pipes P, or when there is a disconnection between the pipes P and the support member S, the control unit 11 deletes the connection between the elements at the discontinuous area. This allows the control unit 11 to set the strength of the discontinuous area to 0. The second model M2 may indicate differences from the elements of the first model M1 with dashed lines.

[0034] FIG. 8 is a diagram illustrating a second model M2A as the second model M2 generated by the control unit 11 when the information acquired in step S3 indicates a discontinuous location. The second model M2A is generated, for example, when the user inputs a damaged portion as shown in FIG. 5 . The second model M2A in FIG. 8 includes an element PM2 of the pipeline P, in which the element PM1 of the pipeline P in the first model M1 has been cut at the position indicated by the white arrow corresponding to the location of the damaged portion, thereby deleting the connection. That is, the second model M2A includes an element PM2 of the pipeline P, in which the boundary conditions for the cut portion of the element PM1 of the pipeline P are freely set in all directions. Furthermore, in the second model M2A, the element of the support member SM1-1 itself in the first model M1 has been deleted, thereby deleting the connection with the element PM1 of the pipeline P. As a result, in the second model M2A, a portion of the element PM2 of the pipeline P falls downward from the cut portion. In the second model M2A, the difference from the first model M1 is indicated by a dashed line.

[0035] FIG. 9 is a diagram illustrating a second model M2B as the second model M2 generated by the control unit 11 when the information acquired in step S3 indicates the presence of a discontinuous portion. The second model M2B is generated, for example, when two support members S, as shown in FIG. 7, are input by the user as damaged portions. The second model M2B in FIG. 9 includes an element PM2 of the pipeline P, which was generated by deleting the elements SM1-1 and SM1-2 of the support member S in the first model M1 in FIG. 4, thereby deleting the connection with the element PM1 of the pipeline P. As a result, in the second model M2B, a portion of the element PM2 of the pipeline P that is not supported by the support member S hangs downward. In the second model M2B, differences from the first model M1 are indicated by dashed lines.

[0036] In this way, the control unit 11 generates, as the second model M2, a model in which connections at discontinuous locations between the elements of the multiple pipelines P and the elements of at least one support member S are deleted.

[0037] Any method may be used to set the strength. For example, the control unit 11 acquires environmental information indicating the environment in which the structure is placed. The environmental information may be stored in advance in the storage unit 12. The control unit 11 further corrects the strength set based on the information acquired in step S3 according to the environment indicated by the environmental information. For example, if the environmental information indicates an area prone to salt damage, the control unit 11 corrects the strength set based on the information acquired in S3 to a lower value. However, the control unit 11 may also correct the strength to a lower value if the environmental information indicates an environment in which the structure is likely to have a lower strength, such as an environment in which the structure is located above a body of water such as a river, lake, or bay; an environment in which the height of the structure from the water surface of a river, lake, or bay is equal to or greater than a predetermined value; or an environment in which the annual rainfall, temperature, or humidity is equal to or greater than a predetermined value.

[0038] FIG. 10 shows the correlation between the degree of rust and the corrected strength, divided into cases where the environment indicated by the environmental information is a region with salt damage and a region without salt damage. The horizontal axis in FIG. 10 indicates a higher number, with the higher degree of rust. For example, 1 corresponds to "none," 2 corresponds to "slight," 3 corresponds to "moderate," 4 corresponds to "severe," and 5 corresponds to "perforated." In FIG. 10 , strength is expressed as a percentage, with the maximum strength when a structure is newly constructed and undamaged being 100 percent. In FIG. 10 , the correlation when the environment indicated by the environmental information is a region with salt damage is shown by a solid line, and the correlation when the environment is a region without salt damage is shown by a dashed line. Referring to FIG. 10 , it can be seen that in a region with salt damage, the strength is set to a value of B for a damaged area with a rust level of "4," while in a region without salt damage, the strength is set to a value of A, which is higher than B, even if the rust level is the same "4." For example, if the intensity set by the control unit 11 in accordance with the information acquired in step S3 is an intensity value between A and B in Figure 10, the control unit 11 can flexibly set the intensity by correcting it to A or B in accordance with the environment indicated by the environmental information.

[0039] For example, instead of or in addition to the environmental information, the control unit 11 may further correct the strength set based on the information acquired in step S3 or the strength corrected based on the environmental information, depending on the length of time remaining until the next repair or construction of the structure. In this case, the control unit 11 first reads and acquires construction information indicating the length of time remaining until repair or construction from the storage unit 12. The control unit 11 further corrects the strength set based on the information acquired in step S3 or the strength corrected based on the environmental information, so that the longer the remaining time indicated by the construction information is, the lower the strength set. If damaged areas of the structure are left as they are, the greater the likelihood that the degree of damage will worsen over time. Therefore, according to this embodiment, the future strength of the structure can be reflected in the second model M2 depending on the time remaining until construction.

[0040] FIG. 11 shows the correlation between the degree of rust and the corrected intensity when the environmental information indicates an area free of salt damage, divided into cases where the time until construction is longer than a predetermined period and cases where the time until construction is shorter than a predetermined period. As in FIG. 10 , the horizontal axis in FIG. 11 indicates that the higher the number, the greater the degree of rust. In FIG. 11 , the correlation when the time until construction is long is shown by a solid line, and the correlation when the time until construction is short is shown by a dashed line. Referring to FIG. 11 , it can be seen that when the time until construction is long, the intensity is set to a value of D for damaged areas with a rust level of "4." When the time until construction is short, the intensity is set to a value of C, which is higher than D, even for the same rust level of "4." For example, when the environmental information indicates an area free of salt damage and the intensity set by the control unit 11 is between C and D in FIG. 11 , the control unit 11 can flexibly correct the intensity to C or D depending on the remaining time indicated by the construction information.

[0041] In step S5 of FIG. 3, the control unit 11 performs a structural analysis on the second model M2.

[0042] In step S6, the control unit 11 highlights the portions of the second model M2 whose calculated structural strength values ​​are below the allowable value as a result of the structural analysis, and outputs the second model M2 via the input / output unit 14. For example, the control unit 11 highlights the support member SM2-2 of the second model M2A in FIG. 8 , whose structural strength value is below the allowable value, and displays it on the display serving as the input / output unit 14. Without being limited to this, the control unit 11 may highlight the dashed line portions of the second model M2A in FIG. 8 or the second model M2B in FIG. 9 , which are damaged portions deleted from the first model M1 and whose structural strength values ​​are below the allowable value, and display them on the display serving as the input / output unit 14. The control unit 11 may output the second model M2 via the input / output unit 14 with a stronger degree of highlighting, the further the structural strength value is below the allowable value and the further it is from the allowable value. For example, the control unit 11 may express the degree of highlighting by using a different color. For example, the control unit 11 may output to the input / output unit 14 either the entire structural strength value calculated as a result of the structural analysis or only the value that is less than the allowable value, in a manner that can be switched by the user's designation.

[0043] According to this embodiment, the user can easily determine the strength of a structure, which is difficult to determine by visual inspection alone, by looking at the display on the input / output unit 14. This allows the user to prioritize the areas where repairs or construction work should be performed, thereby improving the efficiency of repairs or construction work.

[0044] The following additional notes are provided regarding the above-described embodiments.

[0045] (Supplementary Item 1) A diagnostic device comprising a control unit and an input / output unit, wherein the control unit: acquires a first model of a structure including elements of a plurality of pipelines connected in an axial direction and elements of at least one support member that supports the plurality of pipelines in a direction intersecting the axial direction; outputs the acquired first model via the input / output unit; acquires information indicating damaged locations of the plurality of pipelines and the at least one support member input by a user via the input / output unit; generates a second model in which strength of the damaged locations is set for the first model based on the acquired information; analyzes the generated second model; and outputs the second model via the input / output unit based on the results of the analysis, emphasizing portions where the yield strength is below an allowable value. (Supplementary Item 2) The diagnostic device according to Supplementary Item 1, wherein the control unit acquires, as the first model, a model in which the elements of the plurality of pipelines and the elements of the at least one support member are each one-dimensional elements and the elements of the plurality of pipelines and the elements of the at least one support member are coupled to each other, and when the information indicates a discontinuous point between the plurality of pipelines and the at least one support member as the damaged point, generates, as the second model, a model in which the coupling between the elements of the plurality of pipelines and the elements of the at least one support member at the discontinuous point is deleted. (Supplementary Item 3) The diagnostic device according to Supplementary Item 1 or 2, wherein the information includes a degree of rust of the plurality of pipelines and the at least one support member, and the control unit sets the strength lower as the degree of rust increases. (Supplementary Item 4) The diagnostic device according to any one of Supplementary Items 1 to 3, wherein the control unit acquires environmental information indicating an environment in which the structure is placed, and corrects and sets the intensity according to the environment.

[0046] The present disclosure is not limited to the above-described embodiments. For example, two or more blocks shown in the block diagram may be integrated, or one block may be divided. Two or more steps shown in the flowchart may be executed in parallel or in a different order, instead of being executed in chronological order as described, depending on the processing capabilities of the device executing each step, or as needed. Other modifications are possible within the scope of the present disclosure.

[0047] As a modified example, for example, the control unit 11 may acquire the first model M1 by independently generating the first model M1 acquired in S1 described above.

[0048] In this modified example, the diagnostic device 10 further includes an imaging unit. The control unit 11 acquires an image captured by the imaging unit, in which the pipeline P or the support member S and a measuring instrument for measuring the pipeline P or the support member S are reflected. The control unit 11 estimates the actual dimensions of the pipeline P or the support member S based on the ratio between the scale value of the measuring instrument and the number of pixels in the image. However, the control unit 11 may also acquire an image in which an object whose actual dimensions are known in advance is reflected, instead of the measuring instrument, and analyze the image using any image analysis processing method to estimate the actual dimensions of the pipeline P or the support member S.

[0049] The control unit 11 may further receive user input of various numerical values ​​indicating the material properties of the structure, such as Young's modulus, via the input / output unit 14. The control unit 11 generates a first model M1 in which tolerances are set using the estimated actual dimensions and various numerical values ​​indicating the material properties. The control unit 11 may generate the geometry of a finite element method model as the first model M1. The geometry may be generated by setting the diameter of the pipe P or the cross section of the support member S as the depth direction.

[0050] According to this modification, even if information representing the first model M1 is not previously stored in the storage unit 12, the user can generate the first model M1 on-site using only the diagnostic device 10. This eliminates the need to prepare information representing the first model M1, thereby reducing the number of work steps.

[0051] 10 Diagnostic device 11 Control unit 12 Storage unit 13 Communication unit 14 Input / output unit

Claims

1. A diagnostic device comprising a control unit and an input / output unit, wherein the control unit: acquires a first model of a structure including elements of a plurality of pipelines connected in an axial direction and elements of at least one support member supporting the plurality of pipelines in a direction intersecting the axial direction; outputs the acquired first model via the input / output unit; acquires information indicating damaged locations of the plurality of pipelines and the at least one support member input by a user via the input / output unit; generates a second model in which the strength of the damaged locations is set for the first model based on the acquired information; analyzes the generated second model; and outputs the second model via the input / output unit based on the results of the analysis, emphasizing portions where the yield strength is below an allowable value.

2. A diagnostic device according to claim 1, wherein the control unit acquires, as the first model, a model in which the elements of the multiple pipelines and the elements of the at least one support member are each one-dimensional elements and the elements of the multiple pipelines and the elements of the at least one support member are connected to each other, and when the information indicates a discontinuous point between the multiple pipelines and the at least one support member as the damaged point, generates, as the second model, a model in which the connections between the elements of the multiple pipelines and the elements of the at least one support member at the discontinuous point are deleted.

3. A diagnostic device according to claim 1 or 2, wherein the information includes the degree of rust on the plurality of pipelines and the at least one support member, and the control unit sets the strength lower as the degree of rust increases.

4. A diagnostic device according to claim 1 or 2, wherein the control unit acquires environmental information indicating the environment in which the structure is placed, and corrects and sets the intensity in accordance with the environment.

Images