Automatic extraction method for gap flow field data of secondary side heat exchange tube bundle of steam generator

Abstract

The invention discloses a steam generator secondary side heat exchange tube bundle gap flow field data automatic extraction method. The method comprises the steps that 1, a steam generator secondary side flow field characteristic parameter automatic sampling module is developed; 2, loading an automatic sampling module and reading a numerical simulation result file of the three-dimensional flow field of the steam generator; 3, establishing a csv table file containing the target heat exchange tube bundle number and the geometrical characteristic parameters; 4, adding a csv table file path at an automatic sampling module interface and setting the number of sampling points of each edge; 5, an automatic sampling module is operated to read the csv table files, target heat exchange tube bundle gap flow field data on the secondary side of the steam generator are extracted in a grouped mode according to the numbers, and two new csv table files are output in the form of original data and the form of an average value; the method can automatically extract the heat exchange tube bundle gap flow field data at the specified position of the secondary side of the steam generator, greatly improves the post-processing precision and efficiency of numerical simulation calculation, and supports the development of a heat exchange tube bundle flow-induced vibration model and the optimization design research of a heat exchange tube structure.

Description

Technical Field

[0001] The present invention belongs to the technical field of nuclear power plant equipment simulation data processing, and particularly relates to an automatic extraction method for the gap flow field data of the secondary side heat exchange tube bundle of a steam generator. Background Technique

[0002] The steam generator is a key device connecting the primary and secondary loops in the pressurized water reactor nuclear power plant system, and undertakes the important functions of the heat transfer boundary and pressure boundary of the primary and secondary loops. However, due to the intense two-phase flow boiling heat transfer process in the gap flow field of the secondary side heat exchange tube bundle of the steam generator, accompanied by the flow-induced vibration phenomenon of the heat exchange tubes caused by the change of the thermal-hydraulic parameters of the flow field, it may lead to the decline of the mechanical properties of the heat exchange tubes, abrasion and breaks, resulting in the leakage of radioactive substances on the primary side of the steam generator, posing a great threat to the safety and economy of the pressurized water reactor nuclear power plant system. Therefore, high-efficiency and high-precision data extraction from the gap flow field of the secondary side heat exchange tube bundle of the steam generator is crucial for analyzing the mechanical properties of the heat exchange tubes of the steam generator and ensuring the safe and stable operation of the entire nuclear power plant system.

[0003] Currently, the methods for extracting the gap flow field data of the secondary side heat exchange tube bundle of the steam generator are mainly divided into the tube bundle center method and the grid value output method. Among them, the tube bundle center method sets data extraction points based on the center coordinates of the heat exchange tubes during post-processing, and uses a one-dimensional simplified processing method to extract the flow field data at the center position of the heat exchange tubes instead of the gap flow field data of the heat exchange tubes. The advantage is fast processing speed, but there is obvious distortion when comparing the data in the peripheral area of the gap flow field of the heat exchange tubes; the grid value output method directly outputs the grid discretization values of the gap flow field of the heat exchange tubes in the numerical simulation calculation program. The advantage is that it avoids the post-processing process and simplifies the operation, but to meet the corresponding relationship between the numerous heat exchange tubes and the grids, the grid size needs to be much smaller than the diameter of the heat exchange tubes, and the total number of grids will reach hundreds of millions, which requires too much computing resources and cannot achieve batch operation of multiple target heat exchange tubes.

[0004] In summary, the existing methods for extracting the gap flow field data of the secondary side heat exchange tube bundle of the steam generator are difficult to simultaneously achieve high efficiency and high precision, and cannot meet the requirements of the development of the flow-induced vibration model of the heat exchange tube bundle and the research on the structural optimization design of the heat exchange tubes. Summary of the Invention

[0005] In order to solve the problems existing in the above-mentioned prior art, the purpose of the present invention is to provide an automatic extraction method for the gap flow field data of the secondary side heat exchange tube bundle of a steam generator, which can greatly improve the post-processing accuracy and efficiency of numerical simulation calculations, and support the development of the flow-induced vibration model of the heat exchange tube bundle and the research on the structural optimization design of the heat exchange tubes.

[0006] In order to achieve the above purpose, the present invention adopts the following technical solutions:

[0007] An automated extraction method for the flow field data of the secondary side heat exchange tube bundle of a steam generator, comprising the following steps:

[0008] Step 1: Develop an automated sampling module for the characteristic parameters of the secondary side flow field of the steam generator based on the Visual Studio Code editor. The specific steps are as follows:

[0009] Step 1-1: Determine the characteristic parameters describing the regular hexagonal point array in three-dimensional space: the X-axis coordinate x0 (unit: m) of the center of the hexagon, the Y-axis coordinate y0 (unit: m) of the center of the hexagon, the Z-axis coordinate z0 (unit: m) of the center of the hexagon, the side length r of the hexagon in the E-th layer E (unit: mm), the number of sampling points N on each side points , the Y-direction component V of the normal unit vector of the hexagon y , the Z-direction component V of the normal unit vector of the hexagon z ; Define a function to generate a regular hexagonal point array in three-dimensional space. The vertices of the hexagon in the E-th layer are respectively:

[0010] (x0 + r E , y0, z0)(1)

[0011]

[0012] When generating the regular hexagonal point array in the E-th layer, set the coordinates of each point at intervals of the ratio of the difference between adjacent vertex coordinates to N points , and finally add the coordinates of each point of each layer of the regular hexagon into the regular hexagonal point array in three-dimensional space;

[0013] Step 1-2: Develop an input interface sub-module to realize reading the target heat exchange tube bundle number and geometric characteristic parameters from the csv table file at the specified file path: heat exchange tube number i, node number j, X-axis coordinate x of the center of the heat exchange tube ij (unit: m), Y-axis coordinate y of the center of the heat exchange tube ij (unit: m), Z-axis coordinate z of the center of the heat exchange tube ij (unit: m), outer radius r of the heat exchange tube ij (unit: mm), Y-direction component V of the normal unit vector of the node yij , Z-direction component V of the normal unit vector of the node zij , sampling radius R ij (unit: mm); Group the geometric characteristic parameters according to the heat exchange tube number i and the node number j and create a dictionary to store each group of data;

[0014] Step 1-3: Develop a data filter sub-module to identify and filter out the three-dimensional secondary side basin dataset of the steam generator from the overall three-dimensional basin dataset of the steam generator according to the grid number in the ParaView post-processing software, and perform two-dimensional slicing on the three-dimensional secondary side basin dataset of the steam generator based on the grouped and stored geometric feature parameters completed in Step 1-2 to obtain the two-dimensional basin slice dataset of the secondary side of the steam generator corresponding to each group;

[0015] Step 1-4: Develop a main program sub-module, loop based on the grouping completed in Step 1-2, and assign the geometric feature parameters stored in the current group to the feature parameters corresponding to the three-dimensional regular hexagonal point array in Step 1-1, that is:

[0016] x0 = x ij (7)

[0017] y0 = y ij (8)

[0018] z0 = z ij (9)

[0019]

[0020] V y = V yij (11)

[0021] V z = V zij (12)

[0022] Generate a regular hexagonal point array based on the three-dimensional regular hexagonal point array function defined in Step 1-1, screen according to the distance from each point to the center of the heat exchange tube, and only retain the points on and outside the heat exchange tube wall; set data extraction points on the two-dimensional basin slice dataset of the secondary side of the steam generator corresponding to the current group based on the screened point coordinates in the ParaView post-processing software to extract the flow field data of the heat exchange tube bundle gap on the secondary side of the steam generator: fluid density ρ (unit kg / m 3 ), void fraction α, fluid velocity U in the X direction x (unit m / s), fluid velocity U in the Y direction y (unit m / s), fluid velocity U in the Z direction z (unit m / s), and calculate the axial fluid velocity U a (unit m / s) and cross-flow velocity U h (unit m / s) according to the normal unit vector of the hexagonal point array, that is:

[0023]

[0024] The fluid density ρ, void fraction α, and axial fluid velocity U extracted from the current group of hexagonal point arrays a , and cross-flow velocity U h are stored and the next group of loops is started;

[0025] Steps 1-5: Develop an output interface sub-module to implement the summation and averaging of each group of fluid density ρ, void fraction α, and axial fluid velocity U a , and cross-flow velocity U h respectively, and output the corresponding secondary-side heat exchanger tube bundle interstitial flow field data in the form of raw data and averages as two new csv table files according to the heat exchanger tube number i and node number j;

[0026] Step 2: Load the automated sampling module for the secondary-side flow field characteristic parameters of the steam generator developed in Step 1 in the python Script Editor option under the Tools in the ParaView post-processing software toolbar, and read the three-dimensional flow field numerical simulation result file of the steam generator, where the normal direction of the plane where the steam generator pipe gallery is located must be the Y direction, and the normal direction of the upper surface of the steam generator tube sheet must be the Z direction;

[0027] Step 3: Establish a csv table file containing the target heat exchanger tube bundle numbers and geometric characteristic parameters. The first row is the variable names in sequence: heat exchanger tube number, node number, X-axis coordinate of the heat exchanger tube center, Y-axis coordinate of the heat exchanger tube center, Z-axis coordinate of the heat exchanger tube center, outer radius of the heat exchanger tube, Y-direction component of the nodal normal unit vector, Z-direction component of the nodal normal unit vector, sampling radius; fill in the corresponding variable values in the columns where the variable names are located;

[0028] Step 4: Add the path of the csv table file established in Step 3 to the input interface in Steps 1-2, add the paths of the two new csv table files to the output interface in Steps 1-5, and set the number of sampling points N for each edge points , that is:

[0029] N points = n (15)

[0030] where n represents the specific number set for the number of sampling points for each edge.

[0031] Step 5: Run the automated sampling module for the secondary-side flow field characteristic parameters of the steam generator in the ParaView post-processing software to read the csv table file established in Step 3, extract the secondary-side target heat exchanger tube bundle interstitial flow field data of the steam generator by number grouping, and output it as two new csv table files in the form of raw data and averages according to the file paths added to the output interface in Step 4, realizing the automated extraction of the secondary-side heat exchanger tube bundle interstitial flow field data of the steam generator.

[0032] By using the data automatic extraction method of the present invention, it is possible to efficiently and accurately sample and output the gap flow field data of the secondary-side multi-target heat exchange tube bundle based on the three-dimensional flow field numerical simulation results of the steam generator, and analyze the thermohydraulic characteristics of the flow field in different heat exchange tube gaps accordingly, develop a flow-induced vibration model for the heat exchange tube bundle and conduct research on the optimization design of the heat exchange tube structure, improve the mechanical properties of the heat exchange tubes of the steam generator, and ensure the safe and stable operation of the entire nuclear power plant.

[0033] Compared with the prior art, the method of the present invention fully considers the typical arrangement of the heat exchange tubes of the steam generator. The data sampling range is an outer hexagon and an inner circle, which highly coincides with the shape of the actual heat exchange tube gap basin, solves the problem of data distortion caused by the one-dimensional simplification method used in the traditional tube bundle center method, and by updating the geometric feature parameters in the csv table file, it is possible to batch extract the gap flow field data of the heat exchange tube bundle at any position, any size, and any cross-section simply and quickly. The present invention has no limitation on the grid size of the steam generator, overcomes the deficiency that the grid value output method requires hundreds of millions of grid numbers, and at the same time, using the method of the present invention does not require modification of the numerical simulation calculation program itself, effectively reducing the difficulty of extracting the gap flow field data of the secondary-side heat exchange tube bundle of the steam generator, and the automatic extraction process greatly improves the data post-processing efficiency. Description of the Drawings

[0034] Figure 1 It is the data sampling range of the gap flow field of the secondary-side heat exchange tube bundle of the steam generator, where (a) is a schematic diagram of the sampling range, and (b) is the actual effect diagram of the sampling range.

[0035] Figure 2 It is an example of the input and output csv tables, where (a) is the input table containing the numbers and geometric feature parameters of the target heat exchange tube bundle, (b) is the table output in the form of original data by group (partial), and (c) is the table output in the form of data average values by group.

[0036] Figure 3 It is the flow chart of the method of the present invention. Detailed Embodiments

[0037] The following combines Figure 3 Taking the automatic extraction of the gap flow field data of the secondary-side heat exchange tube bundle of the steam generator of the HPR1000 as an example and in combination with the flow chart of the present invention shown below, the present invention will be further described in detail.

[0038] An automatic extraction method for the gap flow field data of the secondary-side heat exchange tube bundle of a steam generator according to the present invention includes the following steps:

[0039] Step 1: Develop an automatic sampling module for the flow field characteristic parameters of the secondary side of the steam generator based on the Visual Studio Code editor. The specific steps are as follows:

[0040] Step 1-1: Determine the characteristic parameters describing the regular hexagonal point array in three-dimensional space: the X-axis coordinate x0 (unit: m) of the center of the hexagon, the Y-axis coordinate y0 (unit: m) of the center of the hexagon, the Z-axis coordinate z0 (unit: m) of the center of the hexagon, the side length r of the hexagon in the E-th layer E (unit: mm), the number of sampling points N on each side points , the Y-direction component V of the normal unit vector of the hexagon y , the Z-direction component V of the normal unit vector of the hexagon z ; Define a function to generate a regular hexagonal point array in three-dimensional space, where the vertices of the hexagon in the E-th layer are respectively:

[0041] (x0 + r E , y0, z0)(1)

[0042]

[0043] (x0 - r E , y0, z0)(4)

[0044]

[0045] When generating the regular hexagonal point array in the E-th layer, set the coordinates of each point at intervals of the ratio of the difference between adjacent vertex coordinates to N points , and finally add the coordinates of each point of the regular hexagon in each layer into the regular hexagonal point array in three-dimensional space;

[0046] Step 1-2: Develop an input interface sub-module to implement reading the target heat exchange tube bundle number and geometric characteristic parameters from a csv table file at a specified file path: the heat exchange tube number i, the node number j, the X-axis coordinate x of the center of the heat exchange tube ij (unit: m), the Y-axis coordinate y of the center of the heat exchange tube ij (unit: m), the Z-axis coordinate z of the center of the heat exchange tube ij (unit: m), the outer radius r of the heat exchange tube ij (unit: mm), the Y-direction component V of the normal unit vector of the node yij , the Z-direction component V of the normal unit vector of the node zij , the sampling radius R ij (unit: mm); Group the geometric characteristic parameters according to the heat exchange tube number i and the node number j and create a dictionary to store each group of data;

[0047] Step 1-3: Develop a data filter sub-module to identify and filter out the three-dimensional secondary side basin dataset of the steam generator from the overall three-dimensional basin dataset of the steam generator according to the grid number in the ParaView post-processing software, and perform two-dimensional slicing on the three-dimensional secondary side basin dataset of the steam generator based on the grouped and stored geometric feature parameters completed in Step 1-2 to obtain the two-dimensional basin slice dataset of the secondary side of the steam generator corresponding to each group;

[0048] Step 1-4: Develop a main program sub-module, loop based on the grouping completed in Step 1-2, and assign the geometric feature parameters stored in the current group to the feature parameters corresponding to the three-dimensional regular hexagonal point array in Step 1-1, that is:

[0049] x0 = x ij (7)

[0050] y0 = y ij (8)

[0051] z0 = z ij (9)

[0052]

[0053] V y = V yij (11)

[0054] V z = V zij (12)

[0055] Figure 1 As shown in (a) of, it is a schematic diagram of the sampling range of the flow field data in the gap of the heat exchange tubes on the secondary side of the steam generator. The diameter of the internal circular blank area is the outer diameter of the heat exchange tubes, the side length of the external hexagonal area is the sampling radius, and the gray shaded area is the sampling range of the flow field data. Generate a regular hexagonal point array based on the three-dimensional regular hexagonal point array function defined in Step 1-1, and screen according to the distance from each point to the center of the heat exchange tube, only retaining the points on the heat exchange tube wall and outside the heat exchange tube, as shown in Figure 1 shown in (b) of; Set data extraction points on the two-dimensional basin slice dataset of the secondary side of the steam generator corresponding to the current group based on the screened point coordinates in the ParaView post-processing software, and extract the flow field data in the gap of the heat exchange tubes on the secondary side of the steam generator: fluid density ρ (unit kg / m 3 ), void fraction α, fluid velocity U in the X direction x (unit m / s), fluid velocity U in the Y direction y (unit m / s), fluid velocity U in the Z direction z (unit m / s), and calculate the axial fluid velocity U according to the normal unit vector of the hexagonal point array a(Unit: m / s), cross-flow velocity U h (Unit: m / s), that is:

[0056]

[0057] The fluid density ρ, void fraction α, and fluid axial velocity U extracted from the current group of hexagonal point arrays a , cross-flow velocity U h Perform data storage and start the next group of loops;

[0058] Steps 1-5: Develop an output interface sub-module to implement the summation and averaging of each group of fluid density ρ, void fraction α, and fluid axial velocity U a , cross-flow velocity U h Respectively, and output the corresponding secondary-side heat exchanger tube bundle gap flow field data in the form of original data and averages as two new csv table files according to the heat exchanger tube number i and node number j;

[0059] Step 2: Load the automated sampling module for the secondary-side flow field characteristic parameters of the steam generator developed in Step 1 in the python Script Editor option under the Tools in the ParaView post-processing software toolbar, and read the three-dimensional flow field numerical simulation result file of the HPR1000 steam generator. The normal direction of the plane where the steam generator pipe gallery is located must be the Y direction, and the normal direction of the upper surface of the steam generator tube sheet must be the Z direction.

[0060] Step 3: Create a csv table file "input.csv" containing the target heat exchanger tube bundle number and geometric characteristic parameters under the file path "C: / Users / Desktop". The first row is the variable names in sequence: heat exchanger tube number, node number, X-axis coordinate of the heat exchanger tube center, Y-axis coordinate of the heat exchanger tube center, Z-axis coordinate of the heat exchanger tube center, outer radius of the heat exchanger tube, Y-direction component of the node normal unit vector, Z-direction component of the node normal unit vector, sampling radius; fill in the corresponding variable values in the columns where the variable names are located, as shown in Figure 2 (a) in the figure.

[0061] Step 4: Add the csv table file path "C: / Users / Desktop / input.csv" established in Step 3 to the input interface in Steps 1-2, add the paths of two new csv table files "C: / Users / Desktop / output_origin.csv" and "C: / Users / Desktop / output_average.csv" to the output interface in Steps 1-5, and set the number of sampling points N points to 30, that is:

[0062] Npoints = 30 (15)

[0063] Step 5: Run the automated sampling module for the secondary side flow field characteristic parameters of the steam generator in the ParaView post-processing software to read the csv table file "input.csv" established in Step 3. Group and extract the flow field data of the target heat exchange tube bundle gaps on the secondary side of the steam generator by number, and output them as two new csv table files "origin.csv" and "average.csv" in the form of original data and average values respectively according to the file paths added at the output interface in Step 4, so as to realize the automated extraction of the flow field data of the heat exchange tube bundle gaps on the secondary side of the HPR1000 steam generator. As shown in Figure 2 in (b) and Figure 2 in (c) below, which are the original data and the average value of the flow field of the target heat exchange tube bundle gaps on the secondary side of the steam generator automatically extracted. It can be seen from Figure 2 this that the method of the present invention can automatically read the numbers and geometric characteristic parameters of the target heat exchange tube bundles and output the corresponding flow field data of the heat exchange tube bundle gaps. The method of the present invention can batch process the node tasks of multiple target heat exchange tube bundles on the secondary side of the steam generator, automatically extract the corresponding flow field data of the heat exchange tube bundle gaps and output them in the required form. Compared with the traditional tube center method and grid value output method, it shows high precision and high efficiency, and the present invention has no limitation on the grid size of the numerical simulation calculation, which illustrates the advantages of the method of the present invention.

[0064] The parts not detailed in the present invention belong to the common general knowledge of those skilled in the art.

Claims

1. An automated extraction method for the flow field data of the gap between the secondary side heat exchange tube bundles of a steam generator, characterized in that, It includes the following steps: Step 1: Develop an automated sampling module for the secondary side flow field characteristic parameters of the steam generator based on the Visual Studio Code editor. The specific steps are as follows: Step 1-1: Determine the characteristic parameters describing the regular hexagonal point array in three-dimensional space: the X-axis coordinate x0 of the center of the hexagon, the Y-axis coordinate y0 of the center of the hexagon, the Z-axis coordinate z0 of the center of the hexagon, the side length r of the hexagon in the E-th layer E , the number of sampling points N on each side points , the Y-direction component V of the normal unit vector of the hexagon y , the Z-direction component V of the normal unit vector of the hexagon z ; Define a function to generate a regular hexagonal point array in three-dimensional space, where the vertices of the hexagon in the E-th layer are respectively: (x0+r E ,y0,z0)(1) (x0-r E ,y0,z0)(4) When generating the regular hexagon point array of the E-th layer, set the coordinates of each point at intervals with the ratio of the difference between the coordinates of adjacent vertices to N points Finally, add the coordinates of each point of the regular hexagon in each layer into the regular hexagon point array in three-dimensional space; Step 1-2: Develop an input interface sub-module to read the target heat exchange tube bundle numbers and geometric characteristic parameters from a csv table file at a specified file path: heat exchange tube number i, node number j, X-axis coordinate x of the center of the heat exchange tube ij , Y-axis coordinate y of the center of the heat exchange tube ij , Z-axis coordinate z of the center of the heat exchange tube ij , outer radius r of the heat exchange tube ij , Y-direction component V of the nodal normal unit vector yij , Z-direction component V of the nodal normal unit vector zij , sampling radius R ij ; Group the geometric characteristic parameters according to the heat exchange tube number i and node number j and create a dictionary to store each group of data; Step 1-3: Develop a data filter sub-module. In the ParaView post-processing software, identify and filter out the three-dimensional basin dataset of the secondary side of the steam generator from the overall three-dimensional basin dataset of the steam generator according to the grid number. Based on the grouped and stored geometric characteristic parameters completed in Step 1-2, perform two-dimensional slicing on the three-dimensional basin dataset of the secondary side of the steam generator to obtain the two-dimensional basin slice dataset of the secondary side of the steam generator corresponding to each group; Step 1-4: Develop a main program sub-module. Based on the grouping completed in Step 1-2, perform a loop, and assign the geometric characteristic parameters stored in the current group to the characteristic parameters corresponding to the regular hexagon point array in three-dimensional space in Step 1-1, that is: x0 = x ij (7) y0 = y ij (8) z0 = z ij (9) V y = V yij (11) V z = V zij (12) Generate a regular hexagonal point array based on the three-dimensional space regular hexagonal point array function defined in Step 1-1. Screen the points according to the distance from each point to the center of the heat exchange tube, and only retain the points on and outside the heat exchange tube wall. Set data extraction points on the two-dimensional flow domain slice data set of the secondary side of the steam generator corresponding to the current group based on the point coordinates after screening in the ParaView post-processing software, and extract the flow field data in the gap between the heat exchange tubes on the secondary side of the steam generator: fluid density ρ, void fraction α, fluid velocity U in the X direction x , fluid velocity U in the Y direction y , fluid velocity U in the Z direction z , and calculate the axial fluid velocity U and cross-flow velocity U according to the normal unit vector of the hexagonal point array a , that is: h ​ Extract the fluid density ρ, void fraction α, and fluid axial velocity U from the current group of hexagonal point arrays a , and transverse flow velocity U h Perform data storage and start the next group of loops; Step 1-5: Develop an output interface sub-module to achieve the summation and averaging of the fluid density ρ, void fraction α, and fluid axial velocity U for each group a , and the cross-flow velocity U h respectively, and output the corresponding secondary-side heat exchanger tube bundle gap flow field data in the form of raw data and average values as two new csv table files according to the heat exchanger tube number i and node number j; Step 2: Load the automated sampling module for the secondary side flow field characteristic parameters of the steam generator developed in Step 1 in the python Script Editor option under the Tools in the ParaView post-processing software toolbar, and read the steam generator three-dimensional flow field numerical simulation result file. The normal direction of the plane where the steam generator pipe gallery is located must be the Y direction, and the normal direction of the upper surface of the steam generator tube sheet must be the Z direction; Step 3: Establish a csv table file containing the target heat exchange tube bundle numbers and geometric characteristic parameters. The first row is the variable names in sequence: heat exchange tube number, node number, X-axis coordinate of the heat exchange tube center, Y-axis coordinate of the heat exchange tube center, Z-axis coordinate of the heat exchange tube center, outer radius of the heat exchange tube, Y-direction component of the node normal unit vector, Z-direction component of the node normal unit vector, sampling radius; Fill in the corresponding variable values in the columns where the variable names are located; Step 4: Add the path of the csv table file established in Step 3 to the input interface of Step 1-2, add the paths of two new csv table files to the output interface of Step 1-5, and set the number of sampling points N for each edge points , that is: N points = n (15) Among them, n represents the specific number set for the number of sampling points on each side; Step 5: Run the automated sampling module for the secondary side flow field characteristic parameters of the steam generator in the ParaView post-processing software to read the csv table file established in Step 3, extract the target heat exchange tube bundle gap flow field data on the secondary side of the steam generator by grouping according to the numbers, and output them as two new csv table files in the form of raw data and average values respectively according to the file path added by the output interface in Step 4, realizing the automated extraction of the heat exchange tube bundle gap flow field data on the secondary side of the steam generator.

Images