Pipe integrity evaluation system and pipe integrity evaluation method

Abstract

To provide a pipe integrity evaluation system and a pipe integrity evaluation method capable of shortening the time required for evaluating the integrity of a piping system, including during the occurrence of an earthquake, and restarting a plant at an early stage.SOLUTION: A pipe integrity evaluation system comprises a measuring instrument including an accelerometer, a force sensor, and a potentiometer that are directly attached to a pipe, and an integrity evaluation device that evaluates the integrity of the pipe on the basis of measurement values acquired by the measuring instrument. The accelerometer measures the acceleration of the pipe with respect to an external force. The force sensor measures strain and moment of the pipe. The potentiometer measures displacement of the pipe. The integrity evaluation device comprises an integrity evaluation unit that calculates a stress value generated in the pipe when an external force is applied to the pipe on the basis of the moment and displacement of the pipe.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a piping integrity evaluation system and a piping integrity evaluation method. [Background technology]

[0002] In nuclear and thermal power plants, when an earthquake occurs, the integrity of the piping is confirmed by inspecting the piping and conducting piping stress analysis using seismic evaluation methods such as main earthquake simulations. If the confirmation of the integrity indicates that seismic reinforcement of the piping is necessary, seismic reinforcement work is carried out.

[0003] Conventionally, when analyzing the stress on piping during an earthquake, the method used is to obtain seismic motion from the building, calculate the floor response spectrum (FRS) for each floor from the obtained seismic motion, and then analyze the stress on the piping from the calculated floor response spectrum.

[0004] In Patent Document 1, acceleration sensors are installed at multiple measurement points on buildings and equipment in a plant, a floor response spectrum is calculated based on acceleration signals from the acceleration sensors, and the stresses acting on the buildings and equipment are analyzed based on the calculated floor response spectrum, thereby shortening the time required to calculate the floor response spectrum. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Patent Publication No. 2021-15086 Summary of the Invention [Problem to be solved by the invention]

[0006] After an earthquake occurs, power generation must be restarted as quickly as possible to ensure a stable supply of electricity. However, since it takes a long time to obtain floor response spectra, analyzing the stress on piping from the floor response spectra takes time to confirm the integrity of the piping. For this reason, the conventional method of confirming the integrity of piping systems is an obstacle to shortening the time to restart the plant and improving its availability.

[0007] Therefore, the present invention provides a piping integrity evaluation system and a piping integrity evaluation method that can shorten the time required to evaluate the integrity of a piping system, including when an earthquake occurs, and enable early restart of the plant. [Means for solving the problem]

[0008] To solve the above problems and achieve the object of the present invention, a piping integrity evaluation system of the present invention includes a measuring instrument including a force sensor and a potentiometer attached directly to a piping, and an integrity evaluation device that evaluates the integrity of the piping based on measurement values obtained by the measuring instrument. The force sensor calculates a moment based on strain of the piping. The potentiometer measures displacement of the piping. The integrity evaluation device also includes an integrity evaluation unit that calculates a stress value generated in the piping due to displacement of the piping based on the moment and displacement of the piping.

[0009] The pipe integrity evaluation method of the present invention is a method for evaluating the integrity of a pipe based on the measurement values of a force sensor and a potentiometer attached directly to the pipe. The method includes a step of acquiring the measurement values of the force sensor and the potentiometer, a step of calculating a stress value generated in the pipe due to the displacement of the pipe based on the pipe moment obtained from the force sensor and the displacement obtained from the potentiometer, and a step of evaluating the integrity of the pipe based on the calculated stress value. [Effects of the Invention]

[0010] According to the present invention, the time required for evaluating the integrity of a piping system of a plant can be shortened, and the plant can be restarted early. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a diagram showing an example of a piping integrity evaluation system 100 according to an embodiment of the present invention. [Figure 2] Fig. 2A is a diagram of force sensor 11 attached to pipe 1 as viewed from the axial direction of pipe 1. Fig. 2B is a side view of force sensor 11 attached to pipe 1 as viewed from a direction perpendicular to the axial direction of pipe 1. [Figure 3] 3A is a configuration diagram showing a case where a force sensor 11, an accelerometer 10, and a potentiometer 12 are attached to an anchor portion 3 of a pipe 1. FIG. 3B is a configuration diagram showing a case where a force sensor 11, an accelerometer 10, and a potentiometer 12 are attached to a branch point of a pipe 1. [Figure 4] 1 is a block diagram showing a control system of a piping integrity evaluation system 100 according to an embodiment of the present invention. [Figure 5] 1 is a flowchart illustrating a piping integrity evaluation method according to an embodiment of the present invention. [Figure 6] 1 is a flowchart illustrating a low cycle fatigue evaluation method according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0012] An example of a piping integrity evaluation system and a piping integrity evaluation method according to an embodiment of the present invention will be described below with reference to the drawings. Note that the present invention is not limited to the following example. In each of the drawings described below, common parts are assigned the same reference numerals.

[0013] 1. Configuration of the piping integrity evaluation system Fig. 1 is a diagram showing an example of a piping integrity evaluation system 100 according to one embodiment of the present invention (hereinafter referred to as the present embodiment). The piping integrity evaluation system 100 of the present embodiment is composed of various measuring instruments 15 attached to a piping 1 installed in a building (not shown), and an integrity evaluation device 35. In Fig. 1, the section of the piping 1 from an anchor portion 3 to a nozzle 2 is also shown.

[0014] The measuring instrument 15 includes a force sensor 11, an accelerometer 10, and a potentiometer 12. The measuring instrument 15 further includes a temperature sensor 13 and a pressure gauge 14 (see Figure 4). The force sensor 11 measures the distortion of the pipe 1 and detects the moment in six axial directions of the pipe 1 based on the distortion. The accelerometer 10 measures the acceleration in three axial directions of the pipe 1 caused by an external force. The potentiometer 12 measures the displacement of the pipe 1. The temperature sensor 13 is composed of a thermocouple or the like and measures the temperature change of the pipe 1. The pressure gauge 14 measures the pressure of the fluid flowing through the pipe 1.

[0015] Here, the configuration of the force sensor 11 applied in this embodiment will be described. Fig. 2A is a diagram of the force sensor 11 attached to the pipe 1 as viewed from the axial direction of the pipe 1. Fig. 2B is a side view of the force sensor 11 attached to the pipe 1 as viewed from a direction perpendicular to the axial direction of the pipe 1.

[0016] As shown in FIG. 2B, the force sensor 11 includes a pair of circular members 112 arranged in the axial direction of the pipe 1, and a plurality of strain gauges 114 provided between the pair of circular members 112. As shown in FIG. 2A, the circular members 112 are formed as circular members fixed to the circumference of the pipe 1 via a heat insulating material 113. In this embodiment, as shown in FIG. 2A, each of the circular members 112 is formed by dividing the circular member into two parts, a first member 112a and a second member 112b. The first member 112a and the second member 112b are attached to the pipe 1 so as to sandwich the pipe 1, and are fixed by fasteners 115, thereby fixing each of the circular members 112 to the pipe 1.

[0017] 2B, strain gauges 114 are fixed to a pair of circular ring members 112, 112 that are provided at a predetermined interval in the axial direction of the pipe 1 so as to connect the pair of circular ring members 112, 112. In addition, a plurality of strain gauges 114 (three in this embodiment) are provided at equal intervals in the circumferential direction of the circular ring members 112, 112. In this embodiment, the amount of strain related to the pipe 1 is detected based on the amount of strain in the three strain gauges 114. Then, the force sensor 11 calculates the moment of the pipe 1 based on the amount of strain.

[0018] In this manner, in this embodiment, the force sensor 11 is directly attached to the pipe 1, so that the strain of the pipe 1 and the moment associated with the pipe 1 can be directly measured.

[0019] Meanwhile, measuring instruments 15 including force sensor 11, accelerometer 10, and potentiometer 12 are attached to evaluation points for soundness evaluation. The evaluation points are preferably determined to be parts where stress is likely to occur due to distortion or movement (displacement) of pipe 1. Fig. 3A is a configuration diagram showing a case where force sensor 11, accelerometer 10, and potentiometer 12 are attached to anchor portion 3 of pipe 1, and Fig. 3B is a configuration diagram showing a case where force sensor 11, accelerometer 10, and potentiometer 12 are attached to a branch point of pipe 1.

[0020] As described above, in this embodiment, it is preferable to attach each measuring instrument 15 to a portion where stress is likely to be generated by an external force, such as the anchor portion 3 that is the fixing position of the pipe 1, or a branch point where the pipe 1 branches into two or more branches. In addition, although not shown, it is preferable to set up evaluation points at the connection portions of pipe components such as straight pipes, bent pipes, reducers, valves, and nozzles, and attach each measuring instrument 15 to them. In other words, it is preferable to install them at a location where the primary stress, primary + secondary stress, or cumulative fatigue coefficient is large due to the structure of the pipe 1.

[0021] Additionally, each measuring instrument 15 may be attached to any location on the piping 1, or may be attached at a fixed interval on the piping 1. Furthermore, the temperature sensor 13 and the pressure gauge 14 may also be attached to the same evaluation points as the accelerometer 10, the force sensor 11, and the potentiometer 12, or may be attached to the system of the piping 1.

[0022] 2. Control system configuration of the piping integrity evaluation system Next, the configuration of the control system of the piping integrity evaluation system 100 according to this embodiment will be described. Fig. 4 is a block diagram showing the control system of the piping integrity evaluation system 100 according to this embodiment. As shown in Fig. 4, the piping integrity evaluation system 100 according to this embodiment is composed of a measuring instrument 15 and an integrity evaluation device 35.

[0023] As described above, the measuring instrument 15 is composed of the force sensor 11, the accelerometer 10, the potentiometer 12, the temperature sensor 13, and the pressure gauge 14. A plurality of each of the force sensor 11, the accelerometer 10, the potentiometer 12, the temperature sensor 13, and the pressure gauge 14 are attached to the piping 1 at predetermined evaluation points.

[0024] The soundness assessment device 35 includes a measuring instrument information acquisition unit 20, a soundness assessment unit 21, a low-cycle fatigue assessment unit 22, and a learning processing unit 23. The soundness assessment device 35 also includes a measuring instrument information database (DB) 30, an analysis model database (DB) 31, an assessment result database (DB) 32, and a learning result database (DB) 33.

[0025] The measuring instrument information acquisition unit 20 acquires measurement values transmitted from the various measuring instruments 15 via a communication unit (not shown), and registers the measurement values in the measuring instrument information database 30. The measurement values from the various measuring instruments 15 are received wirelessly or via a wired connection.

[0026] The measuring instrument information acquiring unit 20 acquires various measurement values at predetermined timings, for example, before the start of plant operation, during operation, when an earthquake occurs, etc. The acquisition of measurement values by the measuring instrument information acquiring unit 20 during plant operation may be performed periodically, or may be performed at pre-programmed timings.

[0027] The soundness evaluation unit 21 calculates the waveform and period of vibration of the piping 1, for example, when an earthquake occurs, based on the time history of acceleration stored in the measuring instrument information database 30, and evaluates the response of the piping based on this data. In this way, the soundness evaluation unit 21 analyzes the characteristics of the vibration of the piping 1, the characteristics of the seismic motion, and the associated response characteristics of the piping 1.

[0028] Furthermore, the soundness evaluation unit 21 calculates stresses at set evaluation points that occur when an external force is applied to the pipe 1, based on the measurement values stored in the measuring instrument information database 30 and the analytical model stored in the analytical model database (DB) 31. The soundness evaluation unit 21 also determines soundness evaluation values at each evaluation point based on the calculated stress values, and creates an evaluation result report. The created evaluation result report is registered in the evaluation result database 32. The soundness evaluation unit 21 also determines whether the calculated stress values at the evaluation points are equal to or less than a set threshold value (allowable value). The soundness evaluation method executed by the soundness evaluation unit 21 will be described in detail later.

[0029] The low-cycle fatigue evaluation unit 22 calculates the displacement due to thermal expansion of the pipe 1 and the moment due to thermal expansion based on the measured values of the force sensor 11, the accelerometer 10, the potentiometer 12, the temperature sensor 13, and the pressure gauge 14. Then, the low-cycle fatigue evaluation unit 22 evaluates the low-cycle fatigue based on the calculated moment.

[0030] Here, first, the expansion stress is calculated based on the moment due to thermal expansion and the section modulus of the pipe 1, and then the peak stress is calculated based on the temperature change and the moment. Next, the allowable number of repetitions is calculated based on the calculated peak stress, and the fatigue accumulation coefficient is calculated. Then, the low-cycle fatigue evaluation unit 22 evaluates the low-cycle fatigue of the plant based on the fatigue accumulation coefficient. The low-cycle fatigue evaluation method executed by the low-cycle fatigue evaluation unit 22 will be described in detail later.

[0031] The learning processing unit 23 uses a deep learning method in AI (Artificial Intelligence) to analyze the state of the pipe 1 based on a large amount of data including past evaluation results of the pipe 1 accumulated in the evaluation result database 32. For example, the learning processing unit 23 analyzes trends in data including the vibration characteristics of the pipe 1, the characteristics of seismic motion and the response characteristics of the pipe 1 to that, and the moment and displacement of the pipe 1. Furthermore, based on this data, the learning processing unit 23 analyzes predictions of various evaluations, and analyzes countermeasures when maintenance work is required and the remaining lifespan of the plant. The analysis results of the learning processing unit 23 are registered in the learning result database 33.

[0032] The measurement data of each measuring instrument 15 acquired by the measuring instrument information acquisition unit 20 is registered in the measuring instrument information database (DB) 30. The measurement data registered in the measuring instrument information database 30 is extracted by the soundness evaluation unit 21, the low-cycle fatigue evaluation unit 22, and the learning processing unit 23 as necessary, and is used for analysis, evaluation, or assessment in each unit.

[0033] The analytical model database (DB) 31 stores data on a virtual model of the plant piping 1 using spring elements, etc. The data stored in the analytical model database 31 is extracted when the health evaluation unit 21 and the low-cycle fatigue evaluation unit 22 calculate stress at each evaluation point. The analytical model stored in the analytical model database 31 may be an analytical model previously constructed by the learning processing unit 23.

[0034] The evaluation result database (DB) 32 stores evaluation result forms created by the soundness evaluation unit 21 and the low-cycle fatigue evaluation unit 22. Each piece of data in the evaluation result forms stored in the evaluation result database 32 is extracted by the learning processing unit 23 as needed.

[0035] The learning results analyzed by the learning processing unit 23 are registered in the learning result database (DB) 33. The learning results registered in the learning result database 33 are extracted by the soundness evaluation unit 21 or the low-cycle fatigue evaluation unit 22 as needed and used for various evaluations. Furthermore, of the learning results registered in the learning result database 33, countermeasures for damage to the pipe 1 or the remaining life of the plant after a major earthquake are extracted as needed and presented to the user via the display unit 40 (FIG. 1).

[0036] The functional configurations of the soundness assessment device 35 of this embodiment have been described above. These functional configurations are realized by information processing devices (hardware) such as microcontrollers that constitute each device or system. The information processing devices include, for example, a CPU (Central Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), and non-volatile storage, each connected to a bus.

[0037] In each system or each device constituting each system, the CPU reads out the program code of the software that realizes each function according to this embodiment from the ROM, expands it into the RAM, and executes it. Note that the information processing device may include a processing device such as an MPU (Micro-Processing Unit) instead of the CPU. Variables, parameters, etc. generated during the calculation process are temporarily written to the RAM.

[0038] Examples of nonvolatile storage that can be used include a hard disk drive (HDD), a solid state drive (SSD), a flexible disk, an optical disk, a magneto-optical disk, a CD-ROM, a CD-R, a magnetic tape, and a nonvolatile memory card. This nonvolatile storage stores an operating system (OS) as well as programs and data required for the CPU to operate. The nonvolatile storage corresponds to a memory unit (not shown) configured in the piping integrity evaluation system 100. The program may be stored in a read-only memory (ROM).

[0039] The program is stored in the form of a program code that can be read by the CPU, and the CPU sequentially executes operations in accordance with the program code. In other words, a ROM or non-volatile storage is used as an example of a non-transitory recording medium that can be read by the CPU and that stores a program to be executed by the CPU.

[0040] In this embodiment, the soundness evaluation and low-cycle fatigue evaluation of the piping 1 are performed based on measurement values from each measuring instrument 15 obtained at a predetermined timing. In this embodiment, an example is shown in which the measuring instrument information database 30 is configured within the soundness evaluation device 35, but an example may also be shown in which a data storage unit capable of storing sensor information is separately provided and data from the various measuring instruments 15 is accumulated in the data storage unit. In this case, the soundness evaluation device 35 can obtain each piece of data from the data storage unit via a communication unit (not shown) as necessary, and perform soundness evaluation and low-cycle fatigue evaluation.

[0041] 3. Piping integrity evaluation method Next, the piping integrity evaluation method will be described with reference to Fig. 5. Fig. 5 is a flowchart showing the piping integrity evaluation method according to this embodiment.

[0042] The soundness evaluation unit 21 acquires each piece of data at the time of earthquake occurrence from the measuring instrument information database 30. The measuring instrument information database 30 stores each piece of data from each measuring instrument 15 acquired by the measuring instrument information acquisition unit 20 periodically or at predetermined timings during normal operation and when an earthquake occurs. Here, the acceleration of the pipe 1, the moment of the pipe 1, and the displacement of the pipe 1 at the time of earthquake occurrence are acquired.

[0043] The soundness evaluation unit 21 analyzes vibration data based on the time history of acceleration (step S1). Here, the soundness evaluation unit 21 calculates the vibration characteristics of the piping 1 based on the time history of acceleration. The soundness evaluation unit 21 also calculates the waveform and period of the vibration of the piping 1 when an earthquake occurs from the time history of acceleration, and analyzes the response of the piping based on these data. As a result, the soundness evaluation unit 21 calculates the characteristics of the earthquake motion and the associated response characteristics of the piping 1 (step S2).

[0044] Next, the soundness evaluation unit 21 acquires an analytical model of the piping 1 to be evaluated from the analytical model database 31 (step S3).

[0045] Next, the soundness evaluation unit 21 calculates the stress generated in the pipe 1 at each evaluation point when an earthquake occurs by reflecting the moment and displacement at the evaluation point among the data acquired in step S1 in the analysis model acquired in step S3 (step S4). Here, the moment at the evaluation point is a value acquired by the force sensor 11, and the maximum value of the moments acquired when an earthquake occurs is selected. Also, here, the stress value generated in the pipe 1 due to the displacement of the pipe 1 is calculated.

[0046] Next, the soundness evaluation unit 21 calculates an evaluation value relating to the soundness of the piping 1 based on the stress calculated in step S4 and each vibration data (step S5). Here, the evaluation value is calculated based on the vibration data including the characteristics of the earthquake motion when an earthquake occurs, the response characteristics of the piping 1 to the characteristics of the earthquake motion, and the vibration characteristics of the piping system, and the stress calculated in step S4.

[0047] Thereafter, the soundness evaluation unit 21 creates a piping soundness evaluation result report based on the soundness evaluation value calculated in step S5 (step S6).

[0048] Next, the soundness evaluation unit 21 determines whether the stress value calculated in step S4 is equal to or less than the allowable value (step S7). Here, the allowable value is set to a stress value that allows the pipe 1 to maintain its soundness, and is extracted, for example, from data pre-stored in the evaluation result database 32 or the like. If the determination in step S7 is "YES," that is, if it is determined that the stress value is equal to or less than the allowable value, the process proceeds to step S12. On the other hand, if the determination in step S7 is "NO," that is, if it is determined that the stress value is greater than the allowable value, the process proceeds to step S8.

[0049] For example, when the earthquake inertia force is large or the relative displacement of the piping 1 due to the earthquake is large, the accuracy of the evaluation may not be ensured if the measurement value at a certain point in time is used to evaluate the soundness. Therefore, in this embodiment, when it is determined in step S8 that the stress value is equal to or greater than the allowable value, the soundness evaluation unit 21 evaluates the soundness of the piping 1 again using the time history data.

[0050] The time history data is data that can be obtained from data stored in the measuring instrument information database 30, and is data that has been obtained over a predetermined period of time, including the time of the earthquake. In step S8, the soundness evaluation unit 21 performs a time history response analysis based on the time history data, and calculates the stress value applied to the pipe 1. The soundness evaluation unit 21 also calculates the relative displacement of the pipe 1 based on the time history data. Here, the soundness evaluation unit 21 also calculates the stress value applied to the pipe 1 and the displacement of the pipe 1 by reflecting the time history data in the analysis model. Then, the soundness evaluation unit 21 evaluates the soundness of the pipe 1 based on the time history data, in the same way as in step S5.

[0051] Next, the soundness evaluation unit 21 determines whether the stress calculated in step S8 is equal to or less than the allowable value (step S9). If the determination in step S9 is "YES," that is, if it is determined that the stress value is equal to or less than the allowable value, the process proceeds to step S12. On the other hand, if the determination in step S9 is "NO," that is, if it is determined that the stress value is equal to or greater than the allowable value, the process proceeds to step S10.

[0052] In step S10, the learning processing unit 23 uses an AI deep learning method to consider (analyze) appropriate countermeasures based on the vast amount of past data, including the data stored in the evaluation result database 32, and the vibration data and stress values calculated this time.

[0053] The countermeasures analyzed by the learning processing unit 23 are registered in the learning result database 33 and are presented to the user via the display unit 40 (FIG. 1), for example (step S11).

[0054] Then, in step S12, the soundness evaluation unit 21 registers the vibration data, stress values, the evaluation result form created, and each judgment result calculated in each step from step S3 to step S9 in the evaluation result database 32.

[0055] In the soundness evaluation method of this embodiment, the force sensor 11, the accelerometer 10, and the potentiometer 12 are directly attached to the pipe 1, thereby making it possible to directly calculate the stress acting on the pipe 1. This makes it possible to evaluate the soundness of the pipe 1 in a short period of time, without having to wait for the calculation results of the FRS (Floor Response Spectra) for each floor of the building, as was conventionally the case. Furthermore, because the soundness of the pipe 1 can be evaluated in a short period of time, it is possible to quickly identify areas that require detailed evaluation and countermeasures, thereby enabling the plant to be restarted early.

[0056] In this embodiment, when the earthquake inertia force is large and the integrity cannot be ensured, a time history response analysis based on time history data can be performed. Also, when the earthquake relative displacement is large, the secondary stress component can be reduced by calculating the relative displacement based on the time history data, and more realistic measures and evaluations can be performed.

[0057] In this embodiment, in step S4, stress is calculated by reflecting the displacement and moment of the piping 1 in the analysis model of the piping 1, and a soundness evaluation result report is created in step S6 based on the stress value, but this is not limited to this. In this embodiment, evaluation results corresponding to the moment and displacement obtained in step S1 can also be extracted from evaluated data already registered in the learning result database 33.

[0058] 4. Low-cycle fatigue evaluation method Next, the low-cycle fatigue evaluation method will be described. Fig. 6 is a flowchart showing the low-cycle fatigue evaluation method in this embodiment. Low-cycle fatigue indicates deterioration that occurs in piping due to stress fluctuations caused by temperature and pressure changes due to the start-up and shutdown of a plant, and the low-cycle fatigue evaluation unit 22 evaluates the degree of deterioration caused by temperature and pressure changes. Note that in this embodiment, the low-cycle fatigue evaluation method is described separately from the soundness evaluation method, but the soundness evaluation method of the present invention also includes the low-cycle fatigue evaluation method.

[0059] First, the low-cycle fatigue evaluation unit 22 acquires each piece of data measured at the start-up of the plant and during operation from the measuring instrument information database 30 (step S21). The measuring instrument information database 30 stores each piece of data from each measuring instrument 15 acquired by the measuring instrument information acquisition unit 20 at the start-up of the plant and during normal operation. The low-cycle fatigue evaluation unit 22 acquires data from the temperature sensor 13 and the pressure gauge 14 attached to the piping 1 system, in addition to the data acquired by the force sensor 11 and the potentiometer 12.

[0060] Next, the low cycle fatigue evaluation unit 22 acquires an analytical model of the piping 1 to be evaluated from the analytical model database 31 (step S22).

[0061] Next, the low-cycle fatigue evaluation unit 22 calculates the fatigue cumulative coefficient of the piping 1 based on the data measured at plant startup and the data measured during operation (step S23). First, based on the data measured at plant startup and the data measured during operation, the displacement of the piping 1 caused by thermal expansion and the moment due to thermal expansion are calculated, and these are reflected in the analysis model acquired in step S22. Then, based on the moment due to thermal expansion and the section modulus of the piping 1, the thermal expansion stress of the piping 1 in response to temperature and pressure changes is calculated.

[0062] Furthermore, the low-cycle fatigue evaluation unit 22 calculates the peak stress based on the measured temperature change and moment. Then, the low-cycle fatigue evaluation unit 22 calculates the repeated peak stress based on the calculated peak stress, and calculates the fatigue accumulation coefficient by determining the allowable number of repeated cycles.

[0063] Next, the low cycle fatigue evaluation unit 22 performs low cycle fatigue evaluation based on the stress value due to thermal expansion and the fatigue accumulation coefficient (step S24).

[0064] Next, the low-cycle fatigue evaluation unit 22 creates an evaluation result report based on the low-cycle evaluation results (step S25). The low-cycle fatigue evaluation result report records the temperature change, pressure change, displacement, and moment of the pipe 1, as well as the stress value and fatigue accumulation coefficient calculated under these conditions. The low-cycle fatigue evaluation result report is registered in the evaluation result database 32 in step S29, which will be described later.

[0065] Next, the low cycle fatigue evaluation unit 22 determines whether the calculated fatigue cumulative coefficient is equal to or less than the allowable value (step S26). If the determination in step S26 is "YES", that is, if it is determined that the fatigue cumulative coefficient is equal to or less than the allowable value, the process proceeds to step S29.

[0066] On the other hand, if the determination in step S26 is "NO," that is, if it is determined that the fatigue accumulation coefficient is greater than the allowable value, the process proceeds to step S27.

[0067] In step S27, the learning processing unit 23 uses an AI deep learning method to consider appropriate countermeasures based on a huge amount of past data, including data accumulated in the evaluation result database 32, and the fatigue accumulation coefficient calculated this time.

[0068] The countermeasures analyzed by the learning processing unit 23 are registered in the learning result database 33 and are presented to the user via the display unit (FIG. 1), for example. Then, the process proceeds to step S29.

[0069] In step S29, the low-cycle fatigue evaluation unit 22 registers the stress values calculated in steps S23 to S26, the created evaluation result form, the judgment results, etc. in the evaluation result database 32. This completes the low-cycle fatigue evaluation.

[0070] In the low cycle fatigue evaluation method of this embodiment, the fatigue cumulative coefficient can also be calculated based on the measurement value of the measuring instrument 15 directly attached to the piping 1. This makes it possible to easily perform low cycle fatigue evaluation.

[0071] The above-described embodiment has been described in detail to clearly explain the present invention, and is not necessarily limited to having all of the described configurations. For example, it is possible to replace part of the configuration of the embodiment with another configuration, or to add another configuration to the configuration of the embodiment. It is also possible to add, delete, or replace part of the configuration of the embodiment with another configuration. [Explanation of symbols]

[0072] 1...piping, 2...nozzle, 3...anchor part, 10...accelerometer, 11...force sensor, 12...potentiometer, 13...temperature sensor, 14...pressure gauge, 15...measuring instrument, 20...measuring instrument information acquisition unit, 21...soundness evaluation unit, 22...low cycle fatigue evaluation unit, 23...learning processing unit, 30...measuring instrument information database, 31...analysis model database, 32...evaluation result database, 33...learning result database, 35...soundness evaluation device, 40...display unit, 100...piping soundness evaluation system

Claims

1. a force sensor attached directly to the piping and a measuring instrument including a potentiometer; a soundness evaluation device that evaluates the soundness of the piping based on the measurement values acquired by the measuring device, the force sensor measures a moment based on the distortion of the pipe; the potentiometer measures the displacement of the pipe; The soundness evaluation device includes a soundness evaluation unit that calculates a stress value generated in the pipe due to a displacement of the pipe based on a moment and a displacement of the pipe. Piping health assessment system.

2. the measuring instrument includes an accelerometer attached to the piping; The soundness evaluation unit calculates information about the vibration characteristics of the pipe based on the acceleration of the pipe measured by the accelerometer. The piping integrity evaluation system according to claim 1 .

3. The soundness evaluation unit determines whether the stress value is equal to or less than an allowable value based on the stress value, and if it determines that the stress value is equal to or greater than the allowable value, executes a time history response analysis based on time history data. The piping integrity evaluation system according to claim 2 .

4. The measuring instrument further includes a temperature sensor that measures the temperature of the pipe and a pressure gauge that measures the pressure of the fluid flowing through the pipe, The soundness evaluation device includes a low-cycle fatigue evaluation unit that calculates a moment caused by thermal expansion of the piping based on the measurements of the temperature sensor and the pressure gauge, and calculates a cumulative fatigue coefficient of the piping. The piping integrity evaluation system according to claim 3 .

5. The soundness assessment device includes a learning processing unit using an AI deep learning method, The learning processing unit predicts an evaluation of the soundness of the piping based on the measurement values of the measuring instruments. The piping integrity evaluation system according to claim 1 .

6. The learning processing unit selects pipes that require countermeasures and analyzes countermeasure proposals based on the evaluation of the soundness of the pipes. The piping integrity evaluation system according to claim 5 .

7. A pipe integrity evaluation method for evaluating the integrity of a pipe based on measurement values of a force sensor and a potentiometer directly attached to the pipe, comprising: acquiring a moment based on a strain of the pipe from the force sensor and acquiring a displacement of the pipe from the potentiometer; calculating a stress value generated in the pipe when an external force is applied to the pipe based on the moment and displacement of the pipe, and evaluating the soundness of the pipe based on the calculated stress value. Piping integrity evaluation method.

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