A Python-based wind turbine tower load post-processing system

Through the Python-based wind turbine tower load post-treatment system, the tower load post-treatment is automated, the cumbersome and time-consuming problems in the existing technology are solved, efficiency and accuracy are improved, and specification requirements are met.

CN116201699BActive Publication Date: 2025-08-19GUANGDONG MINGYANG WIND POWER IND GRP CO LTD
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Patent Information

Application Number
CN202211671595.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Priority Date
2022-05-31
Filing Date
2022-12-26
Publication Date
2025-08-19
Estimated Expiration
2042-12-26

AI Technical Summary

Technical Problem

In the prior art, the post-processing process for wind turbine tower load calculation is cumbersome and takes a long time, making it difficult to meet the requirements of standardization and standardization, and lacks automation solutions.

Method used

A Python-based wind turbine tower load post-processing system is designed, including tower cross-section selection module, post-processing file generation module, extreme load extraction module and fatigue load extraction module to realize automated processing, support user interaction interface and error prompts, and meet IEC61400 specifications.

Benefits of technology

It improves the efficiency of load post-processing, reduces the probability of manual errors, meets the tower design requirements, and simplifies the load calculation post-processing process.

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Abstract

The present invention discloses a Python-based wind turbine tower load post-processing system, comprising: a tower section selection module, which can automatically read load calculation result files and display the calculated output tower sections, allowing users to select the number of sections to be processed; a post-processing file generation module, including limit post-processing and fatigue post-processing, which automatically generates load post-processing files required for tower design; a limit load extraction module, which can automatically extract the required limit loads based on the user's selection and output them in a standard format; and a fatigue load extraction module, which can automatically extract the required fatigue loads based on the user's selection and output them in a standard format. The present invention automates the load calculation post-processing process, effectively solving problems existing in the prior art and providing convenience for more users.
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Description

Technical Field

[0001] The present invention relates to the technical field of wind turbine load processing, and in particular to a Python-based wind turbine tower load post-processing system. Background Art

[0002] Wind turbines are power machines that convert wind energy into electricity. To capture high-quality wind resources, towers are used to support the rotors at a certain height above the ground. Towers, the supporting structure of wind turbines, come in various forms, including all-steel towers, steel-hybrid towers, and all-concrete towers. They are crucial for ensuring the structural safety and overall economic efficiency of wind turbines. Therefore, tower design verification is a critical step. Tower design verification requires detailed standard load input. Due to the diverse tower types and the standardized and standardized requirements of the design verification process, load calculation is time-consuming.

[0003] Load calculation consists of three steps: pre-processing, operating condition calculation, and post-processing. Pre-processing generates calculation conditions based on relevant wind turbine standards such as IEC61400. Operating condition calculation can use a high-performance simulation calculation platform, but post-processing needs to be completed manually. Due to the diversity of tower forms and the standardization and standardization requirements in the design verification process, the post-processing process of load calculation data is extremely cumbersome and time-consuming. Summary of the Invention

[0004] The purpose of the present invention is to overcome the deficiencies and shortcomings of the prior art and to provide a Python-based wind turbine tower load post-processing system that automates the load calculation post-processing process, effectively solving the above-mentioned problems of the current technology and providing convenience for more users.

[0005] To achieve the above objectives, the present invention provides a technical solution: a Python-based wind turbine tower load post-processing system, which is a wind turbine load post-processing software developed based on Python and includes: a tower section selection module, a post-processing file generation module, a limit load extraction module, and a fatigue load extraction module;

[0006] The tower section selection module can automatically read the load calculation result file and display the calculated tower sections. The user can select the number of sections to be processed.

[0007] The post-processing file generation module includes limit post-processing and fatigue post-processing, and automatically generates the load post-processing files required for tower design;

[0008] The limit load extraction module can automatically extract the required limit load according to the user's selection and output it in the format required by the standard;

[0009] The fatigue load extraction module can automatically extract the required fatigue load according to the user's selection and output it in a format required by the standard.

[0010] Furthermore, the post-processing file generation module automatically generates the load post-processing file required for tower design as follows:

[0011] Define the working condition according to the load calculation standard IEC61400-1, generate a calculation working condition table with clear parameter definitions, and perform relevant calculations based on the working condition table. Use the working condition table to complete the input parameter table required by the post-processing system. Specific parameters include the corresponding safety factor of the working condition, the one-year time distribution of the fatigue working condition, the service life, the equivalent number of fatigue load cycles, the height of the boundary section between the concrete and steel sections of the steel hybrid tower, the storage path of the working condition calculation results, and the storage path of the post-processing file.

[0012] The program reads the information in the input parameter table and displays it in the corresponding user interaction interface. At the same time, the user interaction interface supports the modification of the corresponding parameters. If the input parameters are incomplete, the program will automatically generate an error prompt. In the tower section selection module interface, all load calculation conditions have output sections by default. At the same time, the user interaction interface supports the user to select the tower section to be processed according to needs. By adjusting the service life and the boundary section height setting of the concrete section and the steel section of the steel hybrid tower, the tower type selection is completed. If the boundary section height is equal to 0, the tower is a steel tower or a full concrete tower. If the boundary section height is not equal to 0, the tower is a steel hybrid tower. If the height is less than the boundary section height, it is a concrete section, and if the height is greater than the boundary section height, it is a steel section. After the section selection is completed, the user can check the load type to be processed.

[0013] The post-processing file generation options include limit post-processing and fatigue post-processing; the limit post-processing includes SF, SF_1.0, SF_N, dlc1.2 working condition and dlc6.4 working condition; among them, SF represents the limit working condition corresponding to the safety factor defined in the input parameter table; SF_1.0 represents the limit working condition corresponding to the safety factor defined in the input parameter table, and the safety factor is 1.0; SF_N represents the limit working condition corresponding to the safety factor N defined in the input parameter table, and the safety factor is 1.0; when generating the dlc1.2 post-processing file, you only need to check the corresponding check box, and when generating the combined dlc1.2 and dlc6.4 post-processing file, you need to check the corresponding check box. Both options must be checked, and the safety factor is 1.0. The fatigue post-processing includes rainflow, LDD, and equivalent mean. Rainflow represents the rainflow count in the load calculation, calculates the equivalent fatigue load, and automatically completes the fatigue condition 1-year time distribution and service life according to the input parameter table program. The load interval is 128 bins, and the m value is 3-12. LDD represents continuous load distribution, and automatically completes the fatigue condition 1-year time distribution and service life according to the input parameter table program. The load interval is 50 bins. Equivalent mean represents the equivalent average value of fatigue load, and automatically completes the fatigue condition 1-year time distribution and service life according to the input parameter table program.

[0014] Based on the fatigue condition's one-year time and frequency distribution as well as the service life, the user can select the Generate Post-Processing box and click the Generate button to generate the post-processing file according to their needs. If the service life of the steel and concrete sections of the steel-hybrid tower is different, the service life parameters can be modified accordingly.

[0015] During the post-processing file generation process, the program automatically traverses the storage path of the working condition calculation results, reads the calculation file and the tower load storage file results, generates the corresponding post-processing format file according to the load post-processing requirements, and stores it in the specified post-processing path.

[0016] Furthermore, when the input parameter table is selected, the program will automatically read the data in the table, automatically fill in the display timing RUN directory, the post-processing file output directory, the load calculation condition under the tower section display module has output the tower section, and the parameters required for the fatigue load will be displayed under the fatigue load extraction module; output load table path and Markov / LDD output path, specify the storage path of the post-processing result file; except for the tower section, the above parameters and paths can be directly modified on the post-processing system interface.

[0017] Furthermore, when an error occurs during the execution of the program, the program will generate a corresponding error prompt. When the program finds that there is no input parameter table during execution, it will prompt "Please confirm whether the 'input parameter table' file is input or exists"; similar error prompts include: Please confirm whether the 'input parameter table' file is input or exists, please confirm whether the 'timing RUN directory' is input or exists, please confirm whether the 'output directory' is input or exists, no result file is found in the timing RUN directory, please check and confirm the 'number of cycles' parameter, please check and confirm the 'life' parameter, please check and confirm the 'boundary section height' parameter.

[0018] Furthermore, the limit load extraction process of the limit load extraction module is as follows:

[0019] Select the input parameter table and load table output path. According to the user's selection, the program will automatically traverse the post-processing results of the load calculation, that is, the corresponding statistical files, and save the results to an Excel template file with a predefined format.

[0020] Furthermore, the fatigue load extraction process of the fatigue load extraction module is as follows:

[0021] Select the input parameter table and load table output path. According to the user's selection, the program will automatically traverse the post-processing results of the load calculation, including rainflow results, Markov matrix data, LDD results, exceedance probability and equivalent mean results, and save the results to an Excel template file with a predefined format. Among them, the rainflow results are stored in the load rainflow counting post-processing result file, which is directly read through the data reading function fread in Python, and the data is edited and saved to an Excel template file with a predefined format. The Markov matrix data is stored in the rainflow counting post-processing result file, and the post-processing method is: directly read through the data reading function fread in Python, divide the load range into 128 bins from small to large, the first column is the load mean, and the first line is the load amplitude. The number of load occurrences within the corresponding mean amplitude range is counted as a 128*128 matrix, and the data is edited and saved to the completed format. predefined Excel template file; LDD results are stored in the load probability density post-processing result file, which is directly read by the data reading function fread in Python, and the time when each load bin appears is recorded. The data is edited and saved in the Excel template file with predefined format; the exceedance probability is to read the LDD result, and the post-processing method is: calculate the probability of the time when each load bin appears in the total time through Python, take the positive value for the load of each bin, and accumulate the probability in ascending order. When the probability reaches the required value, take out the corresponding load, which is the corresponding load under the corresponding exceedance probability, and edit the data and save it in the Excel template file with predefined format; the equivalent mean result is stored in the load basic statistics post-processing result file, which is directly read by the data reading function fread in Python, and edit the data and save it in the Excel template file with predefined format.

[0022] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0023] 1. The system of the present invention satisfies the post-processing of tower loads after load calculation conditions specified in IEC61400 and other specifications, supports parameter modification in the user interactive interface, and automatically generates corresponding error prompts if an error occurs during program execution; the interface operation is simple and flexible, and the functions are complete, which improves the post-processing efficiency and reduces the probability of errors in manual processing.

[0024] 2. The tower section selection module supports automatic display of tower sections output from load calculation conditions. Users can automatically select the sections to be processed according to their needs. All output sections are selected by default, which is highly flexible.

[0025] 3. The post-processing file generation module meets the load processing requirements of existing tower designs. Users can generate corresponding post-processing files according to their own needs.

[0026] 4. The extreme load extraction module and fatigue load extraction module meet the load requirements of existing tower design. Users can extract the corresponding loads according to their own needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is the interface diagram of the wind turbine tower load post-processing system.

[0028] Figure 2 It is a schematic diagram of the tower cross-section display module.

[0029] Figure 3 This is a schematic diagram of the post-processing file generation module.

[0030] Figure 4 This is a schematic diagram of the ultimate load extraction module.

[0031] Figure 5 This is a schematic diagram of the fatigue load extraction module.

[0032] Figure 6 This is a schematic diagram of an error message when input parameters are incomplete. DETAILED DESCRIPTION

[0033] The present invention will be further described below with reference to specific embodiments.

[0034] See also Figures 1 to 6 As shown, this embodiment provides a Python-based wind turbine tower load post-processing system, which is a wind turbine load post-processing software developed based on PYTHON, and includes five parts: a tower section selection module, a post-processing file generation module, a limit load extraction module, and a fatigue load extraction module.

[0035] The tower section selection module can automatically read the load calculation result file and display the calculated tower sections. The user can select the number of sections to be processed.

[0036] The post-processing file generation module includes limit post-processing and fatigue post-processing, and automatically generates the load post-processing files required for tower design;

[0037] The limit load extraction module can automatically extract the required limit load according to the user's selection and output it in the format required by the standard;

[0038] The fatigue load extraction module can automatically extract the required fatigue load according to the user's selection and output it in a format required by the standard.

[0039] Furthermore, the post-processing file generation module automatically generates the load post-processing file required for tower design as follows:

[0040] Define the working condition according to the load calculation standard, generate a calculation working condition table with clear parameter definitions, and perform relevant calculations based on the working condition table; use the working condition table to complete the input parameter table required by the post-processing system. Specific parameters include the corresponding safety factor of the working condition, the one-year time distribution of the fatigue working condition, the service life, the equivalent number of fatigue load cycles, the height of the boundary section between the concrete section and the steel section of the steel hybrid tower, the storage path of the working condition calculation results, and the storage path of the post-processing file;

[0041] The program reads the information in the input parameter table and displays it in the corresponding user interaction interface. At the same time, the user interaction interface supports the modification of the corresponding parameters. If the input parameters are incomplete, the program will automatically generate an error prompt. In the tower section selection module interface, all load calculation conditions have output sections by default. At the same time, the user interaction interface supports the user to select the tower section to be processed according to needs. By adjusting the service life and the boundary section height setting of the concrete section and the steel section of the steel hybrid tower, the tower type selection is completed. If the boundary section height is equal to 0, the tower is a steel tower or a full concrete tower. If the boundary section height is not equal to 0, the tower is a steel hybrid tower. If the height is less than the boundary section height, it is a concrete section, and if the height is greater than the boundary section height, it is a steel section. After the section selection is completed, the user can check the load type to be processed.

[0042] The post-processing file generation options include limit post-processing and fatigue post-processing; the limit post-processing includes SF, SF_1.0, SF_N, dlc1.2 working condition and dlc6.4 working condition; among them, SF represents the limit working condition corresponding to the safety factor defined in the input parameter table; SF_1.0 represents the limit working condition corresponding to the safety factor defined in the input parameter table, and the safety factor is 1.0; SF_N represents the limit working condition corresponding to the safety factor N defined in the input parameter table, and the safety factor is 1.0; when generating a dlc1.2 post-processing file, you only need to check the corresponding checkbox. When generating a combined dlc1.2 and dlc6.4 post-processing file, Both options need to be checked at the same time, with a safety factor of 1.0. The fatigue post-processing includes rainflow, LDD, and equivalent mean. Rainflow represents the load rainflow count, calculates the equivalent fatigue load, and automatically completes the fatigue condition 1-year time distribution and service life according to the input parameter table program. The load interval is 128 bins, and the m value is 3-12. LDD represents continuous load distribution, and automatically completes the fatigue condition 1-year time distribution and service life according to the input parameter table program. The load interval is 50 bins. Equivalent mean represents the equivalent average value of fatigue load, and automatically completes the fatigue condition 1-year time distribution and service life according to the input parameter table program.

[0043] Based on the fatigue condition's one-year time and frequency distribution as well as the service life, the user can select the Generate Post-Processing box and click the Generate button to generate the post-processing file according to their needs. If the service life of the steel and concrete sections of the steel-hybrid tower is different, the service life parameters can be modified accordingly.

[0044] During the post-processing file generation process, the program automatically traverses the storage path of the working condition calculation results, reads the calculation file and the tower load storage file results, generates the corresponding post-processing file in the format required by the load post-processing, and stores it in the specified post-processing path.

[0045] like Figure 1 As shown, when the input parameter table is selected, the program will automatically read the data in the table, automatically fill in the display timing RUN directory, the post-processing file output directory, the load calculation condition under the tower section display module has output the tower section, and the parameters required for the fatigue load will be displayed under the fatigue load extraction module; output load table path and Markov / LDD output path, specify the storage path of the post-processing result file; except for the tower section, the above parameters and paths can be directly modified on the post-processing system interface.

[0046] like Figure 6 As shown, when an error occurs during the execution of the program, the program will generate a corresponding error prompt. When the program is found to have no input parameter table during execution, it will prompt "Please confirm whether the 'input parameter table' file is input or exists"; similar error prompts include: Please confirm whether the 'input parameter table' file is input or exists, please confirm whether the 'timing RUN directory' is input or exists, please confirm whether the 'output directory' is input or exists, no result file is found in the timing RUN directory, please check and confirm the 'number of cycles' parameter, please check and confirm the 'life' parameter, please check and confirm the 'boundary section height' parameter.

[0047] Furthermore, the limit load extraction process of the limit load extraction module is as follows:

[0048] Select the input parameter table and load table output path. According to the user's selection, the program will automatically traverse the post-processing results (corresponding statistical files) of the completed load calculation and save the results to an Excel template file with a predefined format.

[0049] Furthermore, the fatigue load extraction process of the fatigue load extraction module is as follows:

[0050] Select the input parameter table and load table output path. According to the user's selection, the program will automatically traverse the post-processing results of the load calculation, including rainflow results, Markov matrix data, LDD results, exceedance probability and equivalent mean results, and save the results to an Excel template file with a predefined format. Among them, the rainflow results are stored in the load rainflow counting post-processing result file, which is directly read through the data reading function fread in Python, and the data is edited and saved to an Excel template file with a predefined format. The Markov matrix data is stored in the rainflow counting post-processing result file, and the post-processing method is: directly read through the data reading function fread in Python, divide the load range into 128 bins from small to large, the first column is the load mean, and the first line is the load amplitude. The number of load occurrences within the corresponding mean amplitude range is counted as a 128*128 matrix, and the data is edited and saved to the completed format. predefined Excel template file; LDD results are stored in the load probability density post-processing result file, which is directly read by the data reading function fread in Python, and the time when each load bin appears is recorded. The data is edited and saved in the Excel template file with predefined format; the exceedance probability is to read the LDD result, and the post-processing method is: calculate the probability of the time when each load bin appears in the total time through Python, take the positive value for the load of each bin, and accumulate the probability in ascending order. When the probability reaches the required value, take out the corresponding load, which is the corresponding load under the corresponding exceedance probability, and edit the data and save it in the Excel template file with predefined format; the equivalent mean result is stored in the load basic statistics post-processing result file, which is directly read by the data reading function fread in Python, and edit the data and save it in the Excel template file with predefined format.

[0051] The embodiments described above are only preferred embodiments of the present invention and are not intended to limit the scope of implementation of the present invention. Therefore, any changes made based on the shape and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A Python-based wind turbine tower load post-processing system, characterized in that: The system is a wind turbine load post-processing software developed based on Python, which includes: tower section selection module, post-processing file generation module, limit load extraction module and fatigue load extraction module; The tower section selection module can automatically read the load calculation result file and display the calculated tower sections. The user can select the number of sections to be processed. The post-processing file generation module includes limit post-processing and fatigue post-processing, and automatically generates the load post-processing files required for tower design; The limit load extraction module can automatically extract the required limit load according to the user's selection and output it in the format required by the standard; The fatigue load extraction module can automatically extract the required fatigue load according to the user's selection and output it in the format required by the standard; The fatigue load extraction process of the fatigue load extraction module is as follows: Select the input parameter table and load table output path. According to the user's selection, the program will automatically traverse the post-processing results of the load calculation, including rainflow results, Markov matrix data, LDD results, exceedance probability and equivalent mean results, and save the results to an Excel template file with a predefined format. Among them, the rainflow results are stored in the load rainflow counting post-processing result file, which is directly read through the data reading function fread in Python, and the data is edited and saved to an Excel template file with a predefined format. The Markov matrix data is stored in the rainflow counting post-processing result file, and the post-processing method is: directly read through the data reading function fread in Python, divide the load range into 128 bins from small to large, the first column is the load mean, and the first line is the load amplitude. The number of load occurrences within the corresponding mean amplitude range is counted as a 128*128 matrix, and the data is edited and saved to the completed format. predefined Excel template file; LDD results are stored in the load probability density post-processing result file, which is directly read by the data reading function fread in Python, and the time when each load bin appears is recorded. The data is edited and saved in the Excel template file with predefined format; the exceedance probability is to read the LDD result, and the post-processing method is: calculate the probability of the time when each load bin appears in the total time through Python, take the positive value for the load of each bin, and accumulate the probability in ascending order. When the probability reaches the required value, take out the corresponding load, which is the corresponding load under the corresponding exceedance probability, and edit the data and save it in the Excel template file with predefined format; the equivalent mean result is stored in the load basic statistics post-processing result file, which is directly read by the data reading function fread in Python, and edit the data and save it in the Excel template file with predefined format.

2. The Python-based wind turbine tower load post-processing system according to claim 1, characterized in that: The process of the post-processing file generation module automatically generating the load post-processing file required for tower design is as follows: Define the working condition according to the load calculation standard IEC61400-1, generate a calculation working condition table with clear parameter definitions, and perform relevant calculations based on the working condition table. Use the working condition table to complete the input parameter table required by the post-processing system. Specific parameters include the corresponding safety factor of the working condition, the one-year time distribution of the fatigue working condition, the service life, the equivalent number of fatigue load cycles, the height of the boundary section between the concrete and steel sections of the steel hybrid tower, the storage path of the working condition calculation results, and the storage path of the post-processing file. The program reads the information in the input parameter table and displays it in the corresponding user interaction interface. At the same time, the user interaction interface supports the modification of the corresponding parameters. If the input parameters are incomplete, the program will automatically generate an error prompt. In the tower section selection module interface, all load calculation conditions have output sections by default. At the same time, the user interaction interface supports the user to select the tower section to be processed according to needs. By adjusting the service life and the boundary section height setting of the concrete section and the steel section of the steel hybrid tower, the tower type selection is completed. If the boundary section height is equal to 0, the tower is a steel tower or a full concrete tower. If the boundary section height is not equal to 0, the tower is a steel hybrid tower. If the height is less than the boundary section height, it is a concrete section, and if the height is greater than the boundary section height, it is a steel section. After the section selection is completed, the user can check the load type to be processed. The post-processing file generation options include limit post-processing and fatigue post-processing; the limit post-processing includes SF, SF_1.0, SF_N, dlc1.2 working condition and dlc6.4 working condition; among them, SF represents the limit working condition corresponding to the safety factor defined in the input parameter table; SF_1.0 represents the limit working condition corresponding to the safety factor defined in the input parameter table, and the safety factor is 1.0; SF_N represents the limit working condition corresponding to the safety factor N defined in the input parameter table, and the safety factor is 1.0; when generating the dlc1.2 post-processing file, you only need to check the corresponding check box, and when generating the combined dlc1.2 and dlc6.4 post-processing file, you need to check the corresponding check box. Both options must be checked, and the safety factor is 1.

0. The fatigue post-processing includes rainflow, LDD, and equivalent mean. Rainflow represents the rainflow count in the load calculation, calculates the equivalent fatigue load, and automatically completes the fatigue condition 1-year time distribution and service life according to the input parameter table program. The load interval is 128 bins, and the m value is 3-12. LDD represents continuous load distribution, and automatically completes the fatigue condition 1-year time distribution and service life according to the input parameter table program. The load interval is 50 bins. Equivalent mean represents the equivalent average value of fatigue load, and automatically completes the fatigue condition 1-year time distribution and service life according to the input parameter table program. Based on the fatigue condition's one-year time and frequency distribution as well as the service life, the user can select the Generate Post-Processing box and click the Generate button to generate the post-processing file according to their needs. If the service life of the steel and concrete sections of the steel-hybrid tower is different, the service life parameters can be modified accordingly. During the post-processing file generation process, the program automatically traverses the storage path of the working condition calculation results, reads the calculation file and the tower load storage file results, generates the corresponding post-processing format file according to the load post-processing requirements, and stores it in the specified post-processing path.

3. The Python-based wind turbine tower load post-processing system according to claim 2, characterized in that: When the input parameter table is selected, the program will automatically read the data in the table, automatically fill in the display timing RUN directory, the post-processing file output directory, the load calculation condition under the tower section display module has output the tower section, and the parameters required for the fatigue load will be displayed under the fatigue load extraction module; output load table path and Markov / LDD output path, specify the storage path of the post-processing result file; except for the tower section, the above parameters and paths can be directly modified on the post-processing system interface.

4. The Python-based wind turbine tower load post-processing system according to claim 2, characterized in that: If an error occurs during program execution, the program will generate a corresponding error prompt. If the program finds that there is no input parameter table during execution, it will prompt "Please confirm whether the 'input parameter table' file is entered or exists." Similar error prompts include: Please confirm whether the 'input parameter table' file is input or exists, please confirm whether the 'timing RUN directory' is input or exists, please confirm whether the 'output directory' is input or exists, no result file is found in the timing RUN directory, please check and confirm the 'number of cycles' parameter, please check and confirm the 'life' parameter, please check and confirm the 'boundary section height' parameter.

5. The Python-based wind turbine tower load post-processing system according to claim 1, characterized in that: The limit load extraction process of the limit load extraction module is as follows: Select the input parameter table and load table output path. According to the user's selection, the program will automatically traverse the post-processing results of the load calculation, that is, the corresponding statistical files, and save the results to an Excel template file with a predefined format.

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