Thickness measurement method, and thickness measurement system

Abstract

To provide a thickness measurement system that can increase a probability of capturing a true value of a location where reduction in thickness is a pinpoint.SOLUTION: A thickness measurement system comprises: a piping system shape information storage unit B10 that stores shape information on a piping system; a reduced thickness location prediction unit B11 that predicts a reduced thickness location by a fluid analysis from the shape information on the piping system; a thickness measurement location determination unit B12 that determines somewhere around the predicted reduced thickness location as a thickness measurement location; a thickness measurement unit B14 that receives a thickness of the thickness measurement location the thickness measurement location determination unit B12 determines from a thickness measuring instrument; and a prediction model correction unit B15 that corrects a reduced thickness location prediction model of the reduced thickness location prediction unit B11 such that the predicted reduced thickness location comes close to an actual measurement reduced thickness location obtained from a thickness actual measurement value of the thickness measurement location.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present invention relates to a wall thickness measurement method and a wall thickness measurement system for measuring the wall thickness of pipes in a piping system.

Background Art

[0002] In a piping system, for example, in the piping system of a nuclear power plant, a phenomenon in which the wall thickness of a pipe becomes thinner due to the collision of droplets with the pipe wall surface or the disturbance of the water flow is called wall thickness reduction. In order to prevent pipe rupture due to wall thickness reduction, in addition to regular wall thickness measurement as a time-based maintenance means, there is a wall thickness reduction prediction technique using fluid analysis as a condition-based maintenance means.

[0003] Patent Document 1 describes a method of using the wall thickness reduction position obtained by the wall thickness reduction prediction technique in regular wall thickness measurement.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] If the deviation between the wall thickness reduction position obtained by the wall thickness reduction prediction technique and the true value of the wall thickness reduction position is large, it may not be possible to capture the true value of the wall thickness reduction position even in a region where the resolution of the measurement position is increased around the predicted wall thickness reduction position.

[0006] Patent Document 1 does not describe a technique for evaluating whether the true value of the position of the pinpoint wall thickness reduction site can be captured.

[0007] Therefore, it has not been possible to improve the probability of capturing the true value of the position of the pinpoint wall thickness reduction site.

[0008] An object of the present invention is to provide a wall thickness measurement method and a wall thickness measurement system capable of increasing the probability of capturing the true value of the position where the wall thickness reduction is pinpoint.

Means for Solving the Problems

[0009] To achieve the above object, the present invention is configured as follows.

[0010] In the wall thickness measurement method, the shape information of the piping system is stored in the piping system shape information storage unit, the wall thickness reduction position is predicted by fluid analysis from the shape information of the piping system, the vicinity of the predicted wall thickness reduction position is set as the wall thickness measurement position, the wall thickness at the wall thickness measurement position is received from the wall thickness measuring instrument, and the wall thickness reduction position prediction model is corrected so that the predicted wall thickness reduction position approaches the actually measured wall thickness reduction position obtained from the actually measured wall thickness value at the wall thickness measurement position.

[0011] Further, in the wall thickness measurement system, a piping system shape information storage unit that stores the shape information of the piping system, a wall thickness reduction position prediction unit that predicts the wall thickness reduction position by fluid analysis from the shape information of the piping system, a wall thickness measurement position determination unit that sets the vicinity of the predicted wall thickness reduction position as the wall thickness measurement position, a wall thickness measurement unit that receives the wall thickness at the wall thickness measurement position determined by the wall thickness measurement position determination unit from the wall thickness measuring instrument, and a prediction model correction unit that corrects the wall thickness reduction position prediction model of the wall thickness reduction position prediction unit so that the predicted wall thickness reduction position approaches the actually measured wall thickness reduction position obtained from the actually measured wall thickness value at the wall thickness measurement position.

Effects of the Invention

[0012] It is possible to provide a wall thickness measurement method and a wall thickness measurement system capable of increasing the probability of capturing the true value of the position where the wall thickness reduction is pinpoint.

[0013] In the present invention, by correcting the predicted wall thickness reduction position using the actually measured wall thickness value measured with a fine resolution, the accuracy of the predicted wall thickness reduction position can be improved, and the actual pinpoint wall thickness reduction position can be grasped.

Brief Description of the Drawings

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Mode for Carrying Out the Invention

[0015] Embodiments of the present invention will be described with reference to the accompanying drawings.

Examples

[0016] (Example) One embodiment of the present invention is an embodiment in a meat thickness measurement method for improving the resolution of meat thickness measurement positions around the meat loss position predicted by fluid analysis in a piping system, and correcting the prediction model of the meat loss position using the meat thickness measurement results.

[0017] FIG. 1 is a diagram showing the hardware configuration for executing the meat thickness measurement method in one embodiment.

[0018] The hardware for executing the meat thickness measurement method consists of a meat thickness measurement management terminal 1, a meat thickness measuring device 2, an operation input unit 3, and a display output unit 4.

[0019] The meat thickness measurement management terminal 1 presents the meat thickness measurement position to the meat thickness measurer by displaying the meat thickness measurement position on the display output unit 4. By receiving an operation input regarding the registration of the meat thickness measurement position and the meat thickness measurement value from the meat thickness measurer, it records the pair of the meat thickness measurement position and the meat thickness measurement value and uses it for determining the next meat thickness measurement position.

[0020] The wall thickness measurement management terminal 1 is composed of a CPU (Central Processor Unit) 5, a RAM (Random Access Memory) 6, a storage device, and an I / F (Interface) 7. The CPU 5 executes arithmetic processing according to programs such as display of the wall thickness measurement position, prediction of the meat reduction position, and determination of the wall thickness measurement position. The RAM 6 temporarily stores data when executing programs such as display of the wall thickness measurement position, prediction of the meat reduction position, and determination of the wall thickness measurement position.

[0021] The storage device 7 records programs P1 to P5 such as display of the wall thickness measurement position, prediction of the meat reduction position, and determination of the wall thickness measurement position and various data D1, and a hard disk drive, an SSD (Solid State Drive), etc. are applicable. The storage device 7 consists of a wall thickness measurement program P1, a meat reduction position prediction program P2, a meat reduction prediction model correction program P3, a wall thickness measurement position determination program P4, and a wall thickness measurement guidance program P5.

[0022] The wall thickness measurement program P1 is a program that records a set of the wall thickness measurement position and the wall thickness measurement value by receiving the wall thickness measurement value from the wall thickness measuring instrument 2 and operation inputs regarding registration of the wall thickness measurement position and the wall thickness measurement value from the wall thickness measurer via the operation input unit 3 and the I / F 8, respectively.

[0023] The meat reduction position prediction program P2 is a program that predicts the meat reduction position on the pipe system by fluid analysis using the pipe system mesh data D100 (shown in FIG. 15), which is pipe system shape information. The meat reduction position refers to a place where the meat reduction rate is equal to or higher than the threshold value.

[0024] The meat reduction prediction model correction program P3 is a program that corrects the meat reduction position prediction model in the meat reduction position prediction program P2 using the wall thickness measurement result.

[0025] The wall thickness measurement position determination program P4 is a program that determines the wall thickness measurement position centered on the predicted meat reduction position output from the meat reduction position prediction program P2.

[0026] The wall thickness measurement guidance program P5 is a program that superimposes and displays the wall thickness measurement position output by the wall thickness measurement position determination program P4 on the three-dimensional shape of the piping system generated from the piping system mesh data D100.

[0027] The various data D1 includes data such as wall thickness measurement results, meat reduction speed distribution, and intermediate data.

[0028] The I / F8 receives the wall thickness measurement value from the wall thickness measuring instrument 2 and the operation input from the operation input unit 3, and outputs the three-dimensional shape of the piping system with the wall thickness measurement position superimposed to the display output unit 4.

[0029] The wall thickness measuring instrument 2 measures the wall thickness of a predetermined location on the components of the piping system using ultrasonic reflection etc. The operation input unit 3 converts the operation input from the user into an electrical signal and transmits it to the wall thickness measurement management terminal 1, and a keyboard, touch panel, mouse, etc. are applicable. The display output unit 4 is for superimposing and displaying the wall thickness measurement position on the three-dimensional shape of the piping system, and refers to a display or printer.

[0030] Figure 2 is a functional block diagram within the CPU5 for executing the wall thickness measurement method in one embodiment.

[0031] The functional blocks of the wall thickness measurement method consist of a piping system mesh storage unit B10 which is a piping system shape information storage unit that stores the shape information of the piping system, a meat reduction position prediction unit B11, a wall thickness measurement position determination unit B12, a wall thickness measurement guidance unit B13, a wall thickness measurement unit B14, a prediction model correction unit B15, a wall thickness measurement value distribution history storage unit B16, and a meat reduction speed distribution measured value history storage unit B17.

[0032] The piping system mesh storage unit B10 stores data for each small space called a mesh obtained by dividing the analysis area of the piping system to be measured for wall thickness.

[0033] The wall thickness reduction position prediction unit B11 takes as input the piping system mesh data D100 and the adjustment parameter D102 (shown in FIG. 15) from the prediction model correction unit B15, predicts the wall thickness reduction position on the piping system by fluid analysis, and outputs it as a predicted wall thickness reduction rate distribution value D103 (shown in FIG. 15).

[0034] The wall thickness measurement position determination unit B12 uses the predicted wall thickness reduction rate distribution value D103 output from the wall thickness reduction position prediction unit B11 to determine the wall thickness measurement position centered on the wall thickness reduction position where the wall thickness reduction rate is equal to or greater than the threshold value in the wall thickness reduction rate distribution, and outputs it to the wall thickness measurement guidance unit B13 and the wall thickness measurement unit B14.

[0035] The wall thickness measurement guidance unit B13 generates a three-dimensional shape image of the piping system from the piping system mesh data D100, superimposes the wall thickness measurement position output by the wall thickness measurement position determination unit B12, and displays it on the display output unit 4.

[0036] The wall thickness measurement unit B14 receives the wall thickness measurement value from the wall thickness measuring instrument 2 and the operation input related to the registration of the wall thickness measurement position and the wall thickness measurement value from the wall thickness measurer via the I / F8 from the operation input unit 3, respectively, and transmits the pair of the wall thickness measurement position and the wall thickness measurement value to the wall thickness measurement value distribution history storage unit B16. Further, the measured wall thickness reduction rate value D104 (shown in FIG. 15) is calculated from the wall thickness measurement value distribution D105 (shown in FIG. 15) and transmitted to the wall thickness reduction rate distribution measured value history storage unit B17.

[0037] The wall thickness reduction prediction model correction unit B15 outputs an adjustment parameter D102 for correcting the wall thickness reduction position prediction model in the wall thickness reduction position prediction unit B11 using the wall thickness measurement distribution D106 (shown in FIG. 15) from the wall thickness measurement unit B14.

[0038] The wall thickness measurement value distribution history storage unit B16 stores the combination of the wall thickness measurement position and the wall thickness measurement value at each time as the wall thickness measurement value distribution D105 on the surface of the piping system, and outputs it as necessary.

[0039] The actual measured value history storage unit B17 for the wall thickness reduction rate distribution stores the actual measured value D104 of the wall thickness reduction rate distribution calculated by the wall thickness measurement unit B14 at each time, and outputs it as necessary.

[0040] Figure 3 is a functional block diagram of the wall thickness reduction position prediction unit B11 in an embodiment.

[0041] The wall thickness reduction position prediction unit B11 consists of a droplet impact erosion prediction unit B110 and a flow acceleration corrosion prediction unit B111.

[0042] The droplet impact erosion prediction unit B110 takes the piping shape mesh data D100 and the droplet diameter distribution normalized by the prediction model correction unit B15 as inputs, predicts the change in the wall thickness reduction position due to droplet impact erosion, and outputs it to the wall thickness measurement position determination unit 12 as the predicted value of the wall thickness reduction rate distribution due to droplet impact erosion.

[0043] The flow acceleration corrosion prediction unit B111 takes the piping shape mesh data D100 and the parameter indicating the intensity of the turbulent flow output from the prediction model correction unit B15 as inputs, predicts the change in the wall thickness reduction position due to flow acceleration corrosion, and outputs it to the wall thickness measurement position determination unit 12 as the predicted value of the wall thickness reduction rate distribution due to flow acceleration corrosion.

[0044] Figure 4 is a functional block diagram of the droplet impact erosion prediction unit B110 in an embodiment.

[0045] The droplet impact erosion prediction unit B110 consists of a vapor flow analysis unit B1101, a droplet generation calculation unit B1102, a droplet trajectory analysis unit B1103, and a wall thickness reduction rate calculation unit B1104.

[0046] The steam flow analysis unit B1101 obtains the behavior of steam in the piping system, specifically the pressure, temperature, and velocity vector of the steam, from the piping system mesh data D100 and the analysis conditions D101 through fluid analysis, and outputs them as the steam flow analysis results.

[0047] The droplet generation calculation unit B1102 takes as input the droplet diameter distribution normalized by the representative droplet diameter at a predetermined pipe axis coordinate section of the piping system for the droplets formed by the liquefaction of steam and the steam flow analysis results, calculates the representative droplet diameter based on the steam flow analysis results, multiplies it by the normalized droplet diameter distribution, calculates and outputs the real droplet diameter distribution.

[0048] The droplet trajectory analysis unit B1103 takes as input the droplet diameter distribution and the steam flow analysis results, predicts the trajectory of the droplets through fluid analysis, and outputs it as the droplet trajectory.

[0049] The erosion rate calculation unit B1104 calculates the erosion rate generated when the droplets collide with the wall surface of the piping system from the droplet trajectories for each small space of each wall surface, and outputs it as the predicted value of the erosion rate distribution due to droplet impact erosion.

[0050] Figure 5 is a functional block diagram of the flow-accelerated corrosion prediction unit B111 in an embodiment.

[0051] The flow-accelerated corrosion prediction unit B111 consists of an incompressible flow analysis unit B1111, a shape factor calculation unit B1112, and a material degradation analysis unit B1113.

[0052] The incompressible flow analysis unit B1111 takes as input the piping system mesh data D100 and the analysis conditions D101, calculates and outputs the flow velocity and turbulent flow distribution of water flowing through the piping system through fluid analysis.

[0053] The shape factor calculation unit B1112 takes as input the flow velocity, turbulent flow distribution, and a parameter indicating the intensity of the turbulent flow, calculates and outputs the shape factor caused by the shape in flow-accelerated corrosion.

[0054] The material degradation analysis unit B1113 analyzes the degradation of materials in the piping system from the shape factor, calculates and outputs the predicted value of the wall thickness reduction rate distribution due to flow-accelerated corrosion.

[0055] FIG. 6 is a functional block diagram of the wall thickness measurement positioning unit B12 in one embodiment.

[0056] The wall thickness measurement positioning unit B12 consists of a wall thickness reduction rate threshold processing unit B121 and a high-resolution wall thickness measurement position setting unit B122.

[0057] The wall thickness reduction rate threshold processing unit B121 obtains the remaining life of the pipe by using the predicted value of the wall thickness reduction rate distribution and the wall thickness measurement distribution as inputs, and determines whether the remaining life of the pipe is less than or equal to the threshold value. The remaining life of the pipe at a certain position is calculated by Equation (1). Remaining life of pipe = Measured wall thickness value ÷ Predicted value of wall thickness reduction rate distribution ···(1)

[0058] For positions without measured wall thickness values, the nominal wall thickness value is used assuming that no wall thickness reduction has occurred. Positions where the remaining life of the pipe is less than or equal to the threshold value are defined as the wall thickness reduction position group and output.

[0059] The high-resolution wall thickness measurement position setting unit B122 increases the resolution of the wall thickness measurement positions around the wall thickness reduction position group and outputs them as the wall thickness measurement position group D107.

[0060] FIG. 7 is a functional block diagram of the wall thickness measurement guidance unit B13 in one embodiment.

[0061] The wall thickness measurement guidance unit B13 consists of a piping system three-dimensional shape creation unit B131 and a wall thickness measurement position superimposed display unit B132.

[0062] The piping system three-dimensional shape creation unit B131 creates and outputs the three-dimensional shape of the piping system from the piping system mesh data D100.

[0063] The wall thickness measurement position superimposed display unit B132 reads the wall thickness measurement position group D107 and superimposes and displays it on the three-dimensional shape of the piping system.

[0064] FIG. 8 is a functional block diagram of the wall thickness measurement unit B14 in one embodiment.

[0065] The wall thickness measurement unit B14 includes a wall thickness measurement position number input reception unit B141, a wall thickness measurement result aggregation unit B142, and a wall thickness reduction rate calculation unit B143.

[0066] The wall thickness measurement position number input reception unit B141 receives an input regarding the wall thickness measurement position number from the measurer via the operation input unit 3 and outputs it to the wall thickness measurement result aggregation unit B142.

[0067] The wall thickness measurement result aggregation unit B142 associates the input wall thickness measurement position number with the wall thickness measurement result, and outputs it as the wall thickness measurement value distribution history with position numbers to the wall thickness measurement value distribution history storage unit B16.

[0068] The wall thickness reduction rate calculation unit B143 takes the current and previous wall thickness measurement distributions from the wall thickness measurement value distribution history storage unit B16 as inputs, calculates the difference between the current and previous wall thickness measurement distributions, divides it by time to calculate the wall thickness reduction rate distribution, outputs it, and stores it in the wall thickness reduction rate distribution measured value history storage unit B17. By reading the wall thickness reduction rate distribution measured value history from the wall thickness reduction rate distribution measured value history storage unit B17, it is also possible to perform temporal smoothing of the wall thickness reduction rate distribution measured values.

[0069] FIG. 9 is a functional block diagram of the prediction model correction unit B15 in one embodiment. The prediction model correction unit B15 corrects the prediction model using the difference distribution between the predicted value and the measured value of the wall thickness reduction rate distribution on the pipe wall surface.

[0070] The prediction model correction unit B15 includes a droplet impact erosion and flow acceleration corrosion component separation unit B151, a droplet impact erosion prediction model correction unit B152, and a flow acceleration corrosion prediction model correction unit B153.

[0071] The droplet impact erosion and flow-accelerated corrosion component separation unit B151 separates the measured value of the wall thickness reduction rate distribution into a droplet impact erosion component and a flow-accelerated corrosion component. Specifically, for example, a wall thickness reduction position with a small surrounding wall thickness reduction rate is taken as the droplet impact erosion component, and the others are taken as the flow-accelerated corrosion components.

[0072] The droplet impact erosion prediction model correction unit B152 calculates the droplet diameter distribution normalized by the droplet representative diameter by, for example, reinforcement learning in machine learning using the difference between the predicted value and the measured value of the wall thickness reduction rate distribution of the droplet impact erosion component. The calculation of the droplet distribution may also use other machine learning, other statistical learning methods, and mathematical model methods.

[0073] The flow-accelerated model correction unit B153 changes the parameter indicating the intensity of the turbulent flow using the measured value and the predicted value of the flow-accelerated corrosion component reduction distribution.

[0074] FIG. 10 is a processing flow of the wall thickness measurement method in an embodiment.

[0075] When regular wall thickness measurement is not performed in process FA (in the case of No), and when the operating conditions are changed in process FB (in the case of Yes), the wall thickness reduction position prediction unit B11 executes the wall thickness reduction position prediction process F1 and outputs the predicted value D103 of the wall thickness reduction rate distribution to the wall thickness measurement position determination unit B12. After the predicted value D103 of the wall thickness reduction rate distribution is output, or when regular wall thickness measurement is performed, the wall thickness measurement position determination unit B12 calculates the remaining life of the pipe from the current predicted value of the wall thickness reduction rate distribution and the previous wall thickness measurement distribution result. If it is below the threshold at even one location, the resolution of the measurement positions around the predicted wall thickness reduction position is improved, and the wall thickness measurement position group D107 is output to the wall thickness measurement guidance unit B13 and the wall thickness measurement unit B14.

[0076] The wall thickness measurement guidance unit B13 superimposes and displays the wall thickness measurement positions on the three-dimensional shape of the pipe system and outputs them to the display output unit 4 (process F2).

[0077] On the other hand, the wall thickness measurement unit B14 that has received the wall thickness measurement position group D107 calculates the wall thickness measurement value and the actual measured value of the wall thickness reduction rate distribution (process F3). Here, the remaining pipe life is calculated based on the wall thickness measurement value and the actual measured value of the wall thickness reduction rate distribution, and if even one part among the corresponding parts is below the threshold value, the part at the wall thickness measurement position is replaced. When the actual measured value of the wall thickness reduction rate distribution is below a predetermined value around the previous predicted wall thickness reduction position, the wall thickness measurement position determination unit B12 releases the previous predicted wall thickness reduction position and restores the measurement position resolution in the vicinity.

[0078] In the wall thickness measurement position determination unit B12, in process F6, when the remaining pipe life is greater than the threshold value, or after releasing the previous predicted wall thickness reduction position and restoring the measurement position resolution in the vicinity, or when the wall thickness reduction rate distribution at the previous predicted wall thickness reduction position is greater than a predetermined value in the wall thickness measurement unit B14, the process proceeds to the process of the prediction model correction unit B15.

[0079] In the prediction model correction unit B15, when there is an actual wall thickness reduction position in the region where the measurement position resolution has been improved (Yes in process F7), and when the difference between the actual measured value and the predicted value of the wall thickness reduction rate distribution is greater than or equal to a certain value at even one position (Yes in process F4), the adjustment parameter of the prediction model is corrected (process F5). When there is no actual wall thickness reduction position in the region where the measurement position resolution has been improved (No in process F7), or when the difference between the actual measured value and the predicted value of the wall thickness reduction rate distribution is less than a certain value at all positions (No in process F4), the process ends. Note that when regular wall thickness measurement is not performed and the operating conditions are not changed, the process ends without doing anything.

[0080] FIG. 11 is a process flow of the wall thickness reduction position prediction process F1 in an embodiment.

[0081] In process F101, the wall thickness reduction position prediction unit B11 first uses the steam flow analysis unit B1101 to obtain, by fluid analysis, the behavior of steam in the pipe system, specifically the pressure, temperature, and velocity vector of the steam, from the pipe system mesh data D100 and the analysis conditions D101, and outputs the result as the steam flow analysis result.

[0082] Next, in process F102, using the droplet generation calculation unit B1102, with the droplet diameter peak position, droplet diameter variation, and vapor flow analysis result as inputs, a droplet diameter distribution at a predetermined pipe axis coordinate cross-section of the piping system for the droplets formed by vapor liquefaction is created and output.

[0083] Next, in process F103, using the droplet trajectory analysis unit B1103, with the droplet diameter distribution and vapor flow analysis result as inputs, droplet trajectory analysis is performed to predict the trajectory of droplets by fluid analysis, and the droplet trajectory is output.

[0084] Next, in process F104, using the wall thickness reduction rate calculation unit B104, the rate of wall thickness reduction generated by the impact of droplets on the wall surface of the piping system from the droplet trajectory is calculated and output as a predicted value of the wall thickness reduction rate distribution due to droplet impact erosion.

[0085] Next, in process F105, using the incompressible flow analysis unit B1111, with the piping system mesh data D100 and analysis conditions D101 as inputs, the flow velocity and turbulent flow distribution of water flowing through the piping system are calculated and output by incompressible flow analysis.

[0086] Next, in process F106, using the shape factor calculation unit B1112, with the flow velocity, turbulent flow distribution, and a parameter indicating the strength of the turbulent flow as inputs, the shape factor resulting from the shape in flow-accelerated corrosion is calculated and output.

[0087] Next, in process F107, using the material degradation analysis unit B1113, the degradation of the material in the piping system is analyzed from the shape factor, and a predicted value of the wall thickness reduction rate distribution due to flow-accelerated corrosion is calculated and output.

[0088] Figure 12 is the process flow of the superimposed display process F2 (shown in Figure 10) on the three-dimensional shape of the piping system at the wall thickness measurement position.

[0089] First, in process F201, the wall thickness measurement guidance unit B13 creates and outputs the three-dimensional shape of the piping system from the piping system mesh data D100 using the piping system three-dimensional shape creation unit B131.

[0090] Finally, in process F202, using the wall thickness measurement position overlapping display unit B132, the wall thickness measurement position group D107 is read and overlaid and displayed on the three-dimensional shape of the piping system.

[0091] FIG. 13 is a flowchart of the process F3 for calculating the measured values of the wall thickness and the meat reduction rate distribution.

[0092] First, in process F301, the wall thickness measurer measures the wall thickness at a predetermined location with the wall thickness measuring instrument 2. Next, in process F302, the wall thickness measurer uses the operation input unit 3 to input the number of the wall thickness measurement position to the wall thickness measurement management terminal 1. At this time, the wall thickness measurement unit B14 in the wall thickness measurement management terminal 1 uses the wall thickness measurement position number input reception unit 141 to receive the input regarding the wall thickness measurement position number and outputs it to the wall thickness measurement result aggregation unit B142.

[0093] Next, in process F303, using the wall thickness measurement result aggregation unit B142, the wall thickness measurement position number and the wall thickness measurement result are associated and aggregated, and the aggregated result is output to the wall thickness measurement value distribution history storage unit B16 as the wall thickness measurement result with position number and stored.

[0094] Next, in process F304, using the meat reduction rate calculation unit B143, taking the current and previous wall thickness measurement distributions from the wall thickness measurement value distribution history storage unit B16 as inputs, calculating the difference between the current and previous wall thickness measurement distributions and dividing by time to calculate the measured value of the meat reduction rate distribution, which is then output and stored in the meat reduction rate distribution measured value history storage unit B17.

[0095] FIG. 14 is a flowchart of the threshold determination process F4 (shown in FIG. 10) for the difference between the measured value and the predicted value of the meat reduction rate distribution and the prediction model adjustment parameter correction process F5 (shown in FIG. 10).

[0096] First, in process F41, regarding the meat reduction rate distribution of droplet impact erosion, if the difference between the measured value and the predicted value is equal to or greater than a certain value, the process proceeds to process F51, and the prediction model correction unit B15 corrects the droplet diameter distribution normalized by the droplet representative diameter for the prediction model of droplet impact erosion.

[0097] Finally, in process F42, for the metal loss rate distribution of flow-accelerated corrosion, if the difference between the measured value and the predicted value is equal to or greater than a certain value, the process proceeds to process F52, and the prediction model correction unit B15 corrects the parameter indicating the intensity of the turbulent flow with respect to the prediction model of flow-accelerated corrosion using the flow-accelerated corrosion prediction model correction unit B153.

[0098] FIG. 15 is a data configuration diagram of various data D1 in the storage device 7 in one embodiment. The various data D1 include a plurality of piping system mesh data D100, the number of piping system mesh data, the current ID of the piping system mesh data, a plurality of analysis conditions D101, the number of analysis conditions, the current ID of the analysis conditions, a plurality of adjustment parameters D102, the number of adjustment parameters, and the current ID of the adjustment parameters.

[0099] Furthermore, the various data D1 include a plurality of predicted metal loss rate distribution values D103, the number of samples of the predicted metal loss rate distribution values, the current ID of the samples of the predicted metal loss rate distribution values, a plurality of measured metal loss rate distribution values D104, the number of samples of the measured metal loss rate distribution values, the current ID of the samples of the measured metal loss rate distribution values, a plurality of wall thickness measurement distributions D105, the number of samples of the wall thickness measurement positions, the current ID of the wall thickness measurement, a plurality of three-dimensional shapes of the piping system with overlapping wall thickness measurement positions D106, the number of three-dimensional shapes of the piping system with overlapping wall thickness measurement positions, the current ID of the three-dimensional shapes of the piping system with overlapping wall thickness measurement positions, a plurality of wall thickness measurement position groups D107, the number of samples of the wall thickness measurement, the current ID of the number of samples of the wall thickness measurement, the number of samples of the wall thickness measurement position groups, the current ID of the wall thickness measurement position groups, and other variables. In the above data, the current ID indicates the ID of the data currently in use among a plurality of data such as the piping system mesh data D100.

[0100] The piping system mesh data D100 stores the shape of the piping system divided into small spaces. The analysis conditions D101 indicate the initial conditions when performing fluid analysis such as steam flow analysis or incompressible fluid analysis in the piping system. For example, the flow velocity at the inlet surface of the piping system, the pressure at the outlet surface, the initial temperature value, and the type of solution method are applicable.

[0101] The adjustment parameter D102 is a parameter calculated in the prediction model correction unit B15 to correct the prediction model of the material removal position prediction unit B11, and includes parameters such as the droplet diameter peak position, the droplet diameter variation, and the parameter indicating the intensity of the turbulent flow.

[0102] The predicted material removal rate distribution D103 shows the distribution of the predicted material removal rate values on the pipe system wall surface calculated by the material removal position prediction unit B11. The measured material removal rate distribution D104 shows the distribution of the measured material removal rate values on the pipe system wall surface calculated by the wall thickness measurement unit B14 using the wall thickness measurement distribution D105. The wall thickness measurement distribution D105 shows the wall thickness measurement distribution on the pipe system wall surface aggregated by the wall thickness measurement unit B14.

[0103] The three-dimensional shape of the pipe system with the wall thickness measurement positions superimposed D106 is a three-dimensional shape of the pipe system created using the pipe system mesh data D100, with the wall thickness measurement positions calculated by the wall thickness measurement position determination unit B12 superimposed and displayed.

[0104] FIG. 16 is a data structure diagram of the pipe system mesh data D100 in one embodiment.

[0105] The pipe system mesh data D100 consists of a pipe system mesh data ID, the number of points in the data, a plurality of point information, the number of meshes in the data, and a plurality of mesh information.

[0106] The pipe system mesh data ID is a number for identifying a plurality of pipe system mesh data D100.

[0107] The number of points in the data is the number of vertices constituting the meshes when the area of the pipe system targeted by the pipe system mesh data D100 is divided into meshes.

[0108] The point information is the information of the vertices that make up the mesh of the piping system, and consists of a point ID, an X coordinate, a Y coordinate, and a Z coordinate. The point ID is an ID for identifying the vertex, and the X coordinate, Y coordinate, and Z coordinate indicate the position in the coordinate system of the space where the mesh exists, represented by the X coordinate, Y coordinate, and Z coordinate.

[0109] The number of in-data meshes indicates the number of meshes in the piping system mesh data D100.

[0110] The mesh information indicates the information of the meshes in the piping system mesh data D100, and consists of a mesh ID, the number of mesh constituent points, and a plurality of point IDs. The mesh ID is a number for identifying a plurality of meshes in the piping system mesh data D100. The number of mesh constituent points is the number of vertices that make up the mesh. The plurality of point IDs are the point IDs at the plurality of vertices that make up the mesh.

[0111] FIG. 17 is a data configuration diagram of the analysis condition D101 in one embodiment.

[0112] The analysis condition D101 consists of a plurality of analysis condition constants, the number of analysis condition constants, an analysis condition ID, and an analysis condition name.

[0113] The analysis condition constant indicates the specific value of the analysis condition and consists of an analysis condition constant ID, a name, and a condition. The analysis condition constant ID is an ID for identifying multiple analysis condition constants. The analysis condition name indicates the name of the analysis condition constant, and examples include the inflow surface velocity (m / s), the outflow surface pressure (MPa), the type of solution method (pressure-based = 0 / density-based = 1), etc. The value indicates the value of the analysis condition constant. For example, when the name is the inflow surface velocity (m / s), the value is 100; when the name is the outflow surface pressure (MPa), the value is 0.15; and when the name is the type of solution method (pressure-based = 0 / density-based = 1), the value is 0. The number of analysis condition constants indicates the number of analysis condition constants included in the analysis condition D101. The analysis condition ID is a number for identifying multiple analysis condition D101s. The analysis condition name is a character string indicating what the analysis condition is, and examples include character strings such as vapor flow analysis condition 1 and incompressible flow analysis condition 2.

[0114] Figure 18 is a data configuration diagram of the adjustment parameter D102 in an embodiment.

[0115] The adjustment parameter D102 consists of an adjustment parameter ID, a parameter indicating the intensity of turbulence, and a normalized droplet size distribution.

[0116] The adjustment parameter ID is a number for identifying multiple adjustment parameter D102s.

[0117] The parameter indicating the intensity of turbulence is a parameter used to calculate the shape factor in predicting the erosion location of flow-accelerated corrosion.

[0118] The normalized droplet size distribution is obtained by normalizing the droplet size distribution at a predetermined cross-section such as the inflow surface or the outflow surface of a specific component in a piping system with the representative droplet diameter. The normalized droplet size distribution consists of the number of points in the data, the number of meshes in the data, multiple point information, and multiple mesh information.

[0119] The number of points in the data is the number of points that make up the mesh at a predetermined cross-section that is the target of the droplet size distribution.

[0120] The number of meshes in the data is the number of meshes in a predetermined cross-section that is the target of the droplet size distribution.

[0121] The point information is information regarding the vertices that make up the meshes in a predetermined cross-section that is the target of the droplet size distribution. The point information consists of a point ID, an X coordinate, a Y coordinate, and a Z coordinate. The point ID is an ID for identifying the vertex, and the X coordinate, Y coordinate, and Z coordinate indicate the position in the coordinate system of the space where the mesh exists, represented by the X coordinate, Y coordinate, and Z coordinate.

[0122] The mesh information indicates the information of the meshes in a specific cross-section that is the target of the droplet size distribution, and consists of a mesh ID, the number of mesh constituent points, a plurality of point IDs, and a normalized droplet size. The mesh ID is a number for identifying a plurality of meshes within the predicted value D103 of the material removal rate distribution. The number of mesh constituent points is the number of vertices that make up the mesh. The plurality of point IDs are the point IDs at the plurality of vertices that make up the mesh. The normalized droplet size indicates the droplet size normalized by the droplet representative diameter in each mesh.

[0123] FIG. 19 is a data configuration diagram of the predicted value D103 of the material removal rate distribution in one embodiment.

[0124] The predicted value D103 of the material removal rate distribution consists of a predicted value ID of the material removal rate distribution, a prediction date and time, the number of points in the data, the number of meshes in the data, a plurality of point information, a plurality of mesh information, an analysis condition ID, a piping system mesh data ID, and an adjustment parameter ID.

[0125] The predicted value ID of the material removal rate distribution is a number for identifying a plurality of predicted values D103 of the material removal rate distribution.

[0126] The prediction date and time indicates the date and time when the predicted value of the material removal rate distribution was output.

[0127] The number of points in the data is the number of points that make up the mesh on the wall of the pipe system targeted by the predicted value of the meat reduction rate distribution.

[0128] The number of meshes in the data is the number of meshes on the wall of the pipe system targeted by the predicted value D103 of the meat reduction rate distribution.

[0129] Point information is information regarding the vertices that make up the mesh on the wall of the pipe system targeted by the predicted value D103 of the meat reduction rate distribution. The point information consists of a point ID, an X coordinate, a Y coordinate, a Z coordinate, and a meat reduction rate. The point ID is an ID for identifying the vertex, and the X coordinate, Y coordinate, and Z coordinate indicate the position in the coordinate system of the space where the mesh exists, represented by the X coordinate, Y coordinate, and Z coordinate.

[0130] The meat reduction rate indicates the meat reduction rate at each vertex and consists of the droplet impact erosion component calculated from the droplet impact erosion prediction and the flow acceleration type corrosion component calculated from the flow acceleration type corrosion prediction.

[0131] Mesh information indicates information about the meshes on the wall of the pipe system targeted by the predicted value of the meat reduction rate distribution and consists of a mesh ID, the number of points constituting the mesh, a plurality of point IDs, and a meat reduction rate. The mesh ID is a number for identifying a plurality of meshes within the predicted value D103 of the meat reduction rate distribution. The number of points constituting the mesh is the number of vertices that make up the mesh. The plurality of point IDs are the point IDs at the plurality of vertices that make up the mesh.

[0132] The meat reduction rate indicates the meat reduction rate at each mesh and consists of the droplet impact erosion component calculated from the droplet impact erosion prediction and the flow acceleration type corrosion component calculated from the flow acceleration type corrosion prediction.

[0133] The pipe system mesh data ID indicates the ID of the pipe system mesh data D100 of the pipe system targeted by the predicted value D103 of the meat reduction rate distribution.

[0134] The analysis condition ID indicates the ID of the analysis condition D101 used when obtaining the predicted value of the meat reduction rate distribution.

[0135] The adjustment parameter ID indicates the ID of the adjustment parameter D102 used when obtaining the predicted value of the meat reduction rate distribution.

[0136] Figure 20 is a data configuration diagram of the measured value D104 of the meat reduction rate distribution in an embodiment.

[0137] The measured value D104 of the meat reduction rate distribution consists of the measured value ID of the meat reduction rate distribution, the measurement date and time, the number of measurement point information, and a plurality of measurement point information.

[0138] The measured value ID of the meat reduction rate distribution is a number for identifying a plurality of measured values D104 of the meat reduction rate distribution.

[0139] The measurement date and time indicates the date and time when the meat thickness that is the calculation source of the measured value D104 of the meat reduction rate distribution was measured.

[0140] The number of measurement point information indicates the number of meat thickness measurement points.

[0141] The measurement point information indicates the information of the meat thickness measurement points, and consists of the measurement point ID, the display point number, the angular coordinate, the pipe axis coordinate, the measured value of the meat reduction rate, the measured value of the meat reduction rate of the droplet impact erosion component, and the measured value of the meat reduction rate of the flow acceleration type corrosion component.

[0142] The measurement point ID is a number for identifying a plurality of measurement point information.

[0143] The display point number is the number of the measurement point to be displayed together with the position of the measurement point in the meat thickness measurement guidance section B13.

[0144] The angular coordinate is the angular coordinate of the measurement point when the cross section to be measured for the meat thickness is in a polar coordinate system.

[0145] The pipe axis coordinate is the pipe axis coordinate of the cross section to be measured for the meat thickness.

[0146] The measured value of the meat reduction rate is the measured value of the meat reduction rate at the measurement point.

[0147] The measured value of the meat reduction rate of the droplet impact erosion component and the measured value of the meat reduction rate of the flow acceleration corrosion component are the measured values of the meat reduction rate at the measurement point separated into the droplet impact erosion component and the flow acceleration corrosion component, respectively.

[0148] Figure 21 is a data configuration diagram of the wall thickness measurement distribution D105 in an embodiment.

[0149] The wall thickness measurement distribution D105 consists of a wall thickness measurement distribution ID, a measurement date and time, the number of measurement point information, and a plurality of measurement point information.

[0150] The wall thickness measurement distribution ID is a number for identifying a plurality of wall thickness measurement distributions D105.

[0151] The measurement date and time indicates the date and time when the wall thickness was measured.

[0152] The number of measurement point information indicates the number of wall thickness measurement points.

[0153] The measurement point information indicates the information of the wall thickness measurement point and consists of a measurement point ID, a display point number, an angular coordinate, a pipe axis coordinate, and a wall thickness measurement value. The measurement point ID is a number for identifying a plurality of measurement point information. The display point number is the number of the measurement point to be displayed together with the position of the measurement point in the wall thickness measurement guidance section B13. The angular coordinate is the angular coordinate of the measurement point when the cross-section to be measured for the wall thickness is in a polar coordinate system. The pipe axis coordinate is the pipe axis coordinate of the cross-section to be measured for the wall thickness. The wall thickness measurement value is the measured value of the wall thickness at the measurement point.

[0154] Figure 22 is a data configuration diagram of the three-dimensional shape D106 of the pipe with overlapping wall thickness measurement positions in an embodiment.

[0155] The three-dimensional shape D106 of the pipe with overlapping wall thickness measurement positions consists of a pipe system three-dimensional shape ID, overall screen information, and detailed screen information.

[0156] The piping system three-dimensional shape ID is a number for identifying a plurality of wall thickness measurement position overlapping piping three-dimensional shapes D106.

[0157] The overall screen information shows an overall view of the piping system three-dimensional shape, and the detailed screen information shows a view of a part of the piping system three-dimensional shape.

[0158] Both the overall screen information and the detailed screen information are composed of an offset X coordinate, an offset Y coordinate, a width, a height, and dot information for the number of dots of width × height.

[0159] The offset X coordinate and the offset Y coordinate indicate the upper left position of the overall screen or the detailed screen on the display screen.

[0160] The width indicates the number of dots in the horizontal direction of the overall screen or the detailed screen, and the height indicates the number of dots in the vertical direction of the overall screen or the detailed screen.

[0161] The dot information is information on the position and color of each dot, and consists of an X coordinate, a Y coordinate, and color information. The X coordinate and the Y coordinate indicate the position of each dot. The color information is the color at each dot and consists of the degree of R (red), the degree of G (green), and the degree of B (blue).

[0162] Figure 23 is a data configuration diagram of the wall thickness measurement position group D107 in an embodiment.

[0163] The wall thickness measurement position group D107 consists of a wall thickness measurement position group ID, a change date and time, the number of measurement point information, and a plurality of measurement point information.

[0164] The wall thickness measurement position group ID is a number for identifying a plurality of wall thickness measurement position groups D107.

[0165] The change date and time indicates the date and time when the wall thickness was changed.

[0166] The number of measurement points indicates the number of wall thickness measurement points.

[0167] The measurement point information indicates the information of the wall thickness measurement points and consists of a measurement point ID, a display point number, an angular coordinate, and a pipe axis coordinate.

[0168] The measurement point ID is a number for identifying multiple pieces of measurement point information.

[0169] The display point number is the number of the measurement point to be displayed together with the position of the measurement point in the wall thickness measurement guidance section B13.

[0170] The angular coordinate is the angular coordinate of the measurement point when the cross-section to be measured for wall thickness is in a polar coordinate system.

[0171] The pipe axis coordinate is the pipe axis coordinate of the cross-section to be measured for wall thickness.

[0172] Figure 24 is a screen configuration diagram of the wall thickness measurement guidance in an embodiment.

[0173] The wall thickness measurement guidance consists of an overall screen, a detailed screen, a wall thickness measurement position setting section, and a message display section.

[0174] The overall screen shows an overall view of the three-dimensional shape of the piping system, and in addition to the overall view of the three-dimensional shape of the piping system, a cursor indicating the flow direction and the area of the detailed screen is displayed.

[0175] The detailed screen shows a view of a part of the three-dimensional shape of the piping system, and on the three-dimensional shape of the piping system, the wall thickness measurement location (indicated by a black circle), the wall thickness measurement location number, and the wall thickness reduction prediction position (star mark) are displayed. The wall thickness measurement position setting section is the section for setting the measurement position of the wall thickness measured by the wall thickness measuring instrument 2. It accepts selection inputs regarding the display of the wall thickness measurement value and the angular and pipe axis coordinates of the wall thickness measurement position, and registers the wall thickness measurement position and the wall thickness measurement value in the wall thickness measurement management terminal with a setting button. The message display section displays the location where the remaining life is below the threshold and the remaining life.

[0176] According to an embodiment of the present invention, it is possible to provide a wall thickness measurement method and a wall thickness measurement system capable of increasing the probability of capturing the true value of the position where the weight loss is pinpoint.

Description of Signs

[0177] 1... Wall thickness measurement management terminal, 2... Wall thickness measuring device, 3... Operation input unit, 4... Display output unit, 5... CPU, 6... RAM, 7... Storage device, 8... I / F, B10... Piping system mesh storage unit, B11... Metal loss position prediction unit, B12... Wall thickness measurement position determination unit, B13... Wall thickness measurement guidance unit, B14... Wall thickness measurement unit, B15... Prediction model correction unit, B16... Wall thickness measurement value distribution history storage unit, B17... Metal loss rate distribution measured value history storage unit, B110... Droplet impact erosion prediction unit, B111... Flow acceleration corrosion prediction unit, B121... Metal loss rate threshold processing unit, B122... High-resolution wall thickness measurement position setting unit, B131... Piping system three-dimensional shape creation unit, B132... Wall thickness measurement position superposition display unit, B141... Wall thickness measurement position number input reception unit, B142... Wall thickness measurement result aggregation unit, B143... Metal loss rate calculation unit, B151... Droplet impact erosion and flow acceleration corrosion component separation unit, B152... Droplet impact erosion prediction model correction unit, B153... Flow acceleration corrosion prediction model correction unit, B1101... Steam flow analysis unit, B1102... Droplet generation calculation unit, B1103... Droplet trajectory analysis unit, B1104... Metal loss rate calculation unit, B1111... Incompressible flow analysis unit, B1112... Shape factor calculation unit, B1113... Material degradation analysis unit, D100... Piping system mesh data, D101... Analysis conditions, D102... Adjustment parameters, D103... Metal loss rate distribution predicted value, D104... Metal loss rate distribution measured value, D105... Wall thickness measurement distribution, D106... Wall thickness measurement position superposition piping system three-dimensional shape, D107... Wall thickness measurement position group, F1... Metal loss position prediction unit, F2... Superposition display process of wall thickness measurement position on piping system three-dimensional shape, F3... Measured value calculation process of wall thickness measurement and metal loss rate distribution, F4... Threshold determination process of difference between measured value and predicted value of metal loss rate distribution, F5... Prediction model adjustment parameter correction process, H1... Wall thickness measurement management terminal, H2... Wall thickness measuring device, H3... Operation input unit, H4... Display output unit H10... Storage device, H100... Various data

Claims

1. Save the shape information of the piping system in the piping system shape information storage unit, Predict the thinning position by fluid analysis from the shape information of the piping system, Set the vicinity of the predicted thinning position as the wall thickness measurement position, Receive the wall thickness at the wall thickness measurement position from the wall thickness measuring instrument, Correct the thinning position prediction model so that the predicted thinning position approaches the actually measured thinning position obtained from the actually measured wall thickness at the wall thickness measurement position. A wall thickness measurement method characterized by the above.

2. In the wall thickness measurement method according to Claim 1, A wall thickness measurement method characterized by correcting the thinning position prediction model using the difference distribution between the predicted value and the actually measured value of the thinning rate distribution on the pipe wall surface.

3. In the wall thickness measurement method according to Claim 1 or Claim 2, A wall thickness measurement method characterized by predicting the thinning position using the normalized droplet diameter distribution.

4. In the wall thickness measurement method according to Claim 2, Calculate the normalized droplet diameter distribution by machine learning from the difference distribution between the predicted value and the actually measured value of the thinning rate distribution on the pipe wall surface, and predict the thinning position using the normalized droplet diameter distribution. A wall thickness measurement method characterized by the above.

5. In the wall thickness measurement method according to any one of Claims 1, 2, and 4, Generate a three-dimensional shape image of the piping system from the shape information of the piping system, superimpose the wall thickness measurement position, and display it on the display output unit. A wall thickness measurement method characterized by the above.

6. In the wall thickness measurement method according to Claim 2, When the difference between the predicted value and the actually measured value of the thinning rate distribution is equal to or greater than a certain value, correct the adjustment parameter of the thinning position prediction model to correct the thinning position prediction model. A wall thickness measurement method characterized by the above.

7. A piping system shape information storage unit that stores the shape information of the piping system, A thinning position prediction unit that predicts the thinning position by fluid analysis from the shape information of the piping system, A wall thickness measurement position determination unit that sets the vicinity of the predicted thinning position as the wall thickness measurement position, A wall thickness measurement unit that receives the wall thickness at the wall thickness measurement position determined by the wall thickness measurement position determination unit from the wall thickness measuring instrument, A prediction model correction unit that corrects the thinning position prediction model of the thinning position prediction unit so that the predicted thinning position approaches the actually measured thinning position obtained from the actually measured wall thickness at the wall thickness measurement position. A wall thickness measurement system characterized by comprising the above.

8. In the wall thickness measurement system according to Claim 7, The thickness measurement system is characterized in that the prediction model correction unit corrects the wall thickness reduction position prediction model by using the difference distribution between the predicted value and the measured value of the wall thickness reduction rate distribution on the pipe wall surface.

9. In the thickness measurement system according to claim 7 or claim 8, the prediction model correction unit calculates a normalized droplet diameter distribution and outputs it to the wall thickness reduction position prediction unit, and the wall thickness reduction position prediction unit predicts the wall thickness reduction position by using the normalized droplet diameter distribution. The thickness measurement system is characterized by this.

10. In the thickness measurement system according to claim 8, the prediction model correction unit calculates a normalized droplet diameter distribution by machine learning from the difference distribution between the predicted value and the measured value of the wall thickness reduction rate distribution on the pipe wall surface. The thickness measurement system is characterized by this.

11. In the thickness measurement system according to any one of claims 7, 8, and 10, a wall thickness measurement guidance unit; a display output unit; The thickness measurement system is characterized in that the wall thickness measurement guidance unit generates a three-dimensional shape image of the pipe system from the shape information of the pipe system, superimposes the wall thickness measurement position, and displays it on the display output unit.

12. In the thickness measurement system according to claim 8, when the difference between the predicted value of the wall thickness reduction rate distribution and the measured value is equal to or greater than a certain value, the prediction model correction unit corrects the adjustment parameter of the wall thickness reduction position prediction model, thereby correcting the wall thickness reduction position prediction model. The thickness measurement system is characterized by this.

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