A multi-dimensional data management and analysis system, method, medium, and equipment for wind turbine generators.

Abstract

This invention discloses a multi-dimensional data management and analysis system, method, medium, and equipment for wind turbine generators. The system includes a data entry module, a waveform recording test data query and analysis module, a fault waveform recording data query and analysis module, a simulation data query and analysis module, a controller parameter query and analysis module, and a multi-dimensional data analysis module. It can automatically generate wind turbine generator data analysis reports and compare simulation data, waveform recording test data, and fault waveform recording data. This invention provides a data management system solution for the entire lifecycle of wind turbine generators, helping researchers better identify the causes of generator failures and determine whether generator parameters are set reasonably, thereby improving the reliability of wind turbine generator design. Furthermore, this invention can automatically generate wind turbine generator data analysis reports, greatly improving the efficiency of data analysis for researchers.

Description

Technical Field

[0001] This invention relates to the technical field of wind turbine data analysis, and in particular to a multi-dimensional data management and analysis system, method, medium and equipment for wind turbines. Background Technology

[0002] Most existing wind turbine data management systems primarily manage and analyze actual operating data and faults. However, analyzing operating data alone is insufficient to pinpoint the cause of turbine malfunctions; incorrect parameter settings can also lead to abnormal operation or even shutdown. Therefore, combining analysis of turbine design parameters, simulation data, and actual operating data can better identify fault causes and determine the rationality of turbine parameter settings, thereby improving the reliability of wind turbine design. However, currently, there is no system specifically designed for managing and analyzing data throughout the entire lifecycle of a wind turbine. Summary of the Invention

[0003] The primary objective of this invention is to address the shortcomings of existing technologies by providing a multi-dimensional data management and analysis system for wind turbines. This system stores, analyzes, and compares data from all stages of the wind turbine design lifecycle, enabling in-depth analysis of turbine failure causes and improving the reliability of turbine design.

[0004] The second objective of this invention is to provide a method for multi-dimensional data management and analysis of wind turbine generators.

[0005] A third objective of this invention is to provide a non-transitory computer-readable medium.

[0006] A fourth objective of this invention is to provide a computing device.

[0007] The first objective of this invention is achieved through the following technical solution: a multi-dimensional data management and analysis system for wind turbine generators, comprising:

[0008] The data entry module is used to store various sets of data from the wind turbine units into the database server;

[0009] The waveform test data query and analysis module is used to query and analyze the operating test data of wind turbine units;

[0010] The fault recording data query and analysis module is used to query and analyze the operating data of the wind turbine before and after the fault is triggered.

[0011] The simulation data query and analysis module is used to query and analyze the simulation data of wind turbine units;

[0012] The controller parameter query and analysis module is used to query and analyze the design parameters and main control settings parameters of the wind turbine controller.

[0013] The multidimensional data analysis module is used to compare simulation data, waveform test data, and fault waveform data.

[0014] Furthermore, the data entry module includes:

[0015] The simulation data entry module is used to store simulation data of various wind turbine projects into the database server.

[0016] The controller parameter input module is used to store the design parameters and actual setting parameters of the wind turbine into the database server.

[0017] The waveform recording test data storage module is used to store the test data of the wind turbine into the database server;

[0018] The fault recording data storage module is used to store the recording data of the wind turbine when a fault is triggered into the database server.

[0019] Furthermore, the waveform test data query and analysis module performs the following operations:

[0020] By querying the target wind turbine's operational test data within a preset time interval using the turbine model, wind farm, and turbine number, the system performs time-domain and frequency-domain analyses on the wind turbine's operational test data. The time-domain analysis includes the time-series curves and time-domain numerical characteristics of the operational test data, including the minimum, maximum, mean, variance, standard deviation, and root mean square (RMS). The frequency-domain analysis includes FFT spectrum analysis and Welch power spectrum analysis of the operational test data. The system automatically generates wind turbine operational data analysis reports, wind turbine operational data outlier detection reports, and multi-wind turbine test data comparison reports.

[0021] Furthermore, the fault recording data query and analysis module performs the following operations:

[0022] By querying the fault data of a target wind turbine within a preset time interval using the turbine model, wind farm, and turbine number, the system performs time-domain and frequency-domain analyses on the fault data. The time-domain analysis includes the time-series curves and time-domain numerical characteristics of the fault data, including minimum, maximum, mean, variance, standard deviation, and root mean square (RMS). The frequency-domain analysis includes FFT spectrum analysis and Welch power spectrum analysis. This allows users to view an overview of the wind turbine's fault logs, collect and automatically generate reports on individual turbine fault information and wind farm fault information, and automatically generate turbine data analysis reports and turbine data anomaly detection reports. Furthermore, it allows users to view the frequency of fault occurrences for each wind turbine within the preset time interval.

[0023] Furthermore, the simulation data query and analysis module performs the following operations:

[0024] By querying the simulation stage data of the target wind turbine by its model, wind farm, and turbine number, time-domain and frequency-domain analyses are performed on the simulation data. The time-domain analysis includes the time-series curves and time-domain digital features of the simulation data, including the minimum, maximum, mean, variance, standard deviation, and root mean square of the simulation data. The frequency-domain analysis includes FFT spectrum analysis and Welch power spectrum analysis of the simulation data. A simulation data analysis report is automatically generated by comparing the simulation data of the wind turbine under different operating conditions.

[0025] Furthermore, the controller parameter query and analysis module performs the following operations:

[0026] The system automatically generates a comparison report by comparing the design parameters of historical wind turbine controllers and the main control settings of historical wind turbines.

[0027] Furthermore, the multidimensional data analysis module performs the following operations:

[0028] The system automatically generates comparison reports by comparing the time-domain and frequency-domain characteristics of simulation data and waveform test data; it also automatically generates comparison reports by comparing the time-domain and frequency-domain characteristics of waveform test data and fault waveform data; and it can import second-level custom data exported from the wind turbine SCADA system, and then compare the custom data with the time-domain and frequency-domain characteristics of simulation data and waveform test data to automatically generate comparison reports, while also generating custom data outlier detection reports.

[0029] The second objective of this invention is achieved through the following technical solution: a multi-dimensional data management and analysis method for wind turbine generators, wherein, when executing the steps of the method, the processor calls any one of the above-mentioned multi-dimensional data management and analysis systems for wind turbine generators, namely the data entry module, the waveform recording test data query and analysis module, the fault waveform recording data query and analysis module, the controller parameter query and analysis module, the simulation data query and analysis module, and the multi-dimensional data analysis module, to realize the corresponding functions in each module.

[0030] The third objective of this invention is achieved through the following technical solution: a non-transitory computer-readable medium storing instructions, which, when executed by a processor, perform the steps of the wind turbine multidimensional data management and analysis method described above.

[0031] The fourth objective of this invention is achieved through the following technical solution: a computing device, including a processor and a memory for storing processor-executable programs, wherein when the processor executes the program stored in the memory, it implements the above-mentioned multi-dimensional data management and analysis method for wind turbine generators.

[0032] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0033] This invention provides a data management system solution for the entire life cycle of wind turbine units, helping researchers better identify the causes of unit failures and determine whether the unit parameters are set reasonably, thereby improving the reliability of wind turbine unit design. At the same time, this invention can automatically generate wind turbine unit data analysis reports, greatly improving the efficiency of data analysis for researchers. Attached Figure Description

[0034] Figure 1 This is a structural block diagram of a multi-dimensional data management and analysis system for wind turbine generators.

[0035] Figure 2 This is a block diagram of the waveform test data query and analysis module.

[0036] Figure 3 This is a structural block diagram of the fault waveform data query and analysis module.

[0037] Figure 4 This is a block diagram of the controller parameter query and analysis module.

[0038] Figure 5 This is a structural block diagram of the simulation data query and analysis module.

[0039] Figure 6 This is a structural block diagram of the multidimensional data analysis module. Detailed Implementation

[0040] The present invention will be further described below with reference to specific embodiments.

[0041] Example 1

[0042] See Figures 1 to 6 As shown, the wind turbine multi-dimensional data management and analysis system provided in this embodiment includes: a data entry module and a data query and analysis module;

[0043] Users operate the system through a visual user interface. The data storage module stores simulation data, controller parameters, waveform test data, and fault waveform data. The data query and analysis module includes waveform test data query and analysis, fault waveform data query and analysis, controller parameter query and analysis, simulation data query and analysis, and multidimensional data analysis modules, wherein:

[0044] The data import module is used to store various sets of data from the wind turbine units into the database server, including:

[0045] The simulation data entry module is used to store simulation data of various wind turbine projects into the database server.

[0046] The controller parameter input module is used to store the design parameters and actual setting parameters of the wind turbine into the database server.

[0047] The waveform recording test data storage module is used to store the test data of the wind turbine into the database server;

[0048] The fault recording data storage module is used to store the recording data of the wind turbine when a fault is triggered into the database server.

[0049] The waveform test data query and analysis module is used to query and analyze the operating test data of wind turbine units, and to perform the following operations:

[0050] By querying the target wind turbine's operational test data within a preset time interval using the turbine model, wind farm, and turbine number, the system performs time-domain and frequency-domain analyses on the wind turbine's operational test data. The time-domain analysis includes the time-series curves and time-domain numerical characteristics of the operational test data, including the minimum, maximum, mean, variance, standard deviation, and root mean square (RMS). The frequency-domain analysis includes FFT spectrum analysis and Welch power spectrum analysis of the operational test data. The system automatically generates wind turbine operational data analysis reports, wind turbine operational data outlier detection reports, and multi-wind turbine test data comparison reports.

[0051] The fault recording data query and analysis module is used to query and analyze the operating data of the wind turbine before and after the fault is triggered, and to perform the following operations:

[0052] By querying the fault data of a target wind turbine within a preset time interval using the turbine model, wind farm, and turbine number, the system performs time-domain and frequency-domain analyses on the fault data. The time-domain analysis includes the time-series curves and time-domain numerical characteristics of the fault data, including minimum, maximum, mean, variance, standard deviation, and root mean square (RMS). The frequency-domain analysis includes FFT spectrum analysis and Welch power spectrum analysis. This allows users to view an overview of the wind turbine's fault logs, collect and automatically generate reports on individual turbine fault information and wind farm fault information, and automatically generate turbine data analysis reports and turbine data anomaly detection reports. Furthermore, it allows users to view the frequency of fault occurrences for each wind turbine within the preset time interval.

[0053] The simulation data query and analysis module is used to query and analyze the simulation data of wind turbine generators, and to perform the following operations:

[0054] By querying the simulation stage data of the target wind turbine by its model, wind farm, and turbine number, time-domain and frequency-domain analyses are performed on the simulation data. The time-domain analysis includes the time-series curves and time-domain digital features of the simulation data, including the minimum, maximum, mean, variance, standard deviation, and root mean square of the simulation data. The frequency-domain analysis includes FFT spectrum analysis and Welch power spectrum analysis of the simulation data. A simulation data analysis report is automatically generated by comparing the simulation data of the wind turbine under different operating conditions.

[0055] The controller parameter query and analysis module is used to query and analyze the design parameters and main control setting parameters of the wind turbine controller, and to perform the following operations:

[0056] The system automatically generates a comparison report by comparing the design parameters of historical wind turbine controllers and the main control settings of historical wind turbines.

[0057] The multidimensional data analysis module is used to compare simulation data, waveform test data, and fault waveform data, and performs the following operations:

[0058] The system automatically generates comparison reports by comparing the time-domain and frequency-domain characteristics of simulation data and waveform test data; it also automatically generates comparison reports by comparing the time-domain and frequency-domain characteristics of waveform test data and fault waveform data; and it can import second-level custom data exported from the wind turbine SCADA system, and then compare the custom data with the time-domain and frequency-domain characteristics of simulation data and waveform test data to automatically generate comparison reports, while also generating custom data outlier detection reports.

[0059] Example 2

[0060] This embodiment discloses a multi-dimensional data management and analysis method for wind turbine generators. When executing the steps in the method, the processor calls the data entry module, the waveform test data query and analysis module, the fault waveform data query and analysis module, the controller parameter query and analysis module, the simulation data query and analysis module, and the multi-dimensional data analysis module in the multi-dimensional data management and analysis system for wind turbine generators described in Embodiment 1, so as to realize the corresponding functions in each module.

[0061] Example 3

[0062] This embodiment discloses a non-transitory computer-readable medium storing instructions that, when executed by a processor, perform the steps of the wind turbine multidimensional data management and analysis method according to Embodiment 2.

[0063] In this embodiment, the non-transitory computer-readable medium can be a disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), USB flash drive, portable hard drive, etc.

[0064] Example 4

[0065] This embodiment discloses a computing device, including a processor and a memory for storing processor-executable programs. When the processor executes the program stored in the memory, it implements the wind turbine multi-dimensional data management and analysis method described in Embodiment 2.

[0066] The computing device described in this embodiment may be a desktop computer, laptop computer, smartphone, PDA handheld terminal, tablet computer, programmable logic controller (PLC), or other terminal device with processor function.

[0067] The embodiments described above are merely preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Therefore, any changes made in accordance with the shape and principle of the present invention should be covered within the protection scope of the present invention.

Claims

1. A wind turbine generator multi-dimensional data management analysis system, characterized in that, include: The data entry module is used to store various sets of data from the wind turbine units into the database server; The wind turbine test data query and analysis module is used to query and analyze the operational test data of wind turbines, and performs the following operations: querying the operational test data of a target wind turbine within a preset time interval by wind turbine model, wind farm, and turbine number; performing time-domain analysis and frequency-domain analysis on the operational test data of the wind turbines; wherein, the time-domain analysis includes the time-series curve and time-domain digital characteristics of the operational test data, and the time-domain digital characteristics of the operational test data include the minimum value, maximum value, mean, variance, standard deviation, and root mean square of the operational test data; the frequency-domain analysis includes FFT spectrum analysis and Welch power spectrum analysis of the operational test data; and automatically generating wind turbine operational data analysis reports, wind turbine operational data outlier detection reports, and multi-wind turbine test data comparison reports; The fault recording data query and analysis module is used to query and analyze the operating data of wind turbines before and after the triggering of a fault. It performs the following operations: querying fault data of a target wind turbine within a preset time interval by wind turbine model, wind farm, and turbine number; performing time-domain and frequency-domain analysis on the fault data; wherein, the time-domain analysis includes the time-series curve and time-domain digital characteristics of the fault data, including the minimum, maximum, mean, variance, standard deviation, and root mean square of the fault data; the frequency-domain analysis includes FFT spectrum analysis and Welch power spectrum analysis of the fault data; enabling users to view an overview of the wind turbine fault logs, statistically analyze and automatically generate reports on single-unit fault information and wind farm fault information, automatically generate turbine data analysis reports and turbine data anomaly detection reports, and further view the frequency of fault occurrence for each wind turbine within the preset time interval; The simulation data query and analysis module is used to query and analyze simulation data of wind turbines, and performs the following operations: querying the simulation stage data of the target wind turbine by turbine type, wind farm, and turbine number; performing time-domain analysis and frequency-domain analysis on the simulation data; wherein, the time-domain analysis includes the time-series curve and time-domain digital characteristics of the simulation data, and the time-domain digital characteristics of the simulation data include the minimum value, maximum value, mean, variance, standard deviation, and root mean square of the simulation data; the frequency-domain analysis includes FFT spectrum analysis and Welch power spectrum analysis of the simulation data; and automatically generating a simulation data analysis report by comparing the simulation data of the wind turbine under different operating conditions. The controller parameter query and analysis module is used to query and analyze the design parameters and main control settings parameters of the wind turbine controller. The multidimensional data analysis module is used to compare simulation data, waveform test data, and fault waveform data.

2. A wind turbine generator multi-dimensional data management and analysis system according to claim 1, wherein, The data entry module includes: The simulation data entry module is used to store simulation data of various wind turbine projects into the database server. The controller parameter input module is used to store the design parameters and actual setting parameters of the wind turbine into the database server. The waveform recording test data storage module is used to store the test data of the wind turbine into the database server; The fault recording data storage module is used to store the recording data of the wind turbine when a fault is triggered into the database server.

3. The wind turbine generator multi-dimensional data management and analysis system according to claim 1, wherein, The controller parameter query and analysis module performs the following operations: The system automatically generates a comparison report by comparing the design parameters of historical wind turbine controllers and the main control settings of historical wind turbines.

4. The wind turbine generator multi-dimensional data management and analysis system according to claim 1, wherein, The multidimensional data analysis module performs the following operations: The system automatically generates comparison reports by comparing the time-domain and frequency-domain characteristics of simulation data and waveform test data; it also automatically generates comparison reports by comparing the time-domain and frequency-domain characteristics of waveform test data and fault waveform data; and it can import second-level custom data exported from the wind turbine SCADA system, and then compare the custom data with the time-domain and frequency-domain characteristics of simulation data and waveform test data to automatically generate comparison reports, while also generating custom data outlier detection reports.

5. A method of wind turbine multi-dimensional data management analysis, characterized in that, When executing the steps in the method, the processor calls the data entry module, the waveform test data query and analysis module, the fault waveform data query and analysis module, the controller parameter query and analysis module, the simulation data query and analysis module, and the multidimensional data analysis module in the wind turbine multidimensional data management and analysis system according to any one of claims 1-4, so as to realize the corresponding functions in each module.

6. A non-transitory computer-readable medium storing instructions, the method comprising: When the instruction is executed by the processor, the steps of the wind turbine multidimensional data management and analysis method according to claim 5 are performed.

7. A computing device comprising a processor and a memory for storing processor-executable programs, characterized in that, When the processor executes the program stored in the memory, it implements the multi-dimensional data management and analysis method for wind turbine generators as described in claim 5.

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