Intelligent lightning online monitoring system and method for wind turbine generator

Abstract

The invention provides an intelligent lightning online monitoring system and method for a wind turbine generator, and the system comprises a lightning stroke monitor which is used for carrying out the preprocessing of lightning current data, and transmitting the preprocessed lightning current data to a control system of the wind turbine generator; the wind turbine generator control system is used for analyzing and processing the preprocessed lightning current data to obtain a lightning current data processing result, and sending the lightning current data processing result to the wind field centralized control system; and the wind field centralized control system is used for carrying out centralized monitoring and management on the wind turbine generator according to the lightning current data processing result. According to the technical scheme, the accuracy and timeliness of the lightning stroke judgment event are improved, the problem processing efficiency is improved, and therefore the influence and loss of the lightning stroke event are further reduced.

Description

Background Art

[0002] Wind farms are mainly built in mountainous areas and open plains, and their construction environment is relatively isolated. With the large-scale capacity of single wind turbines, the diameter of the impeller is hundreds of meters, and the distance between the unit and the ground is hundreds of meters. In addition, the resistivity of the local geological conditions is relatively high, which makes it very susceptible to lightning strikes. Wind turbines are not discovered in time and effectively after being struck by lightning, which further increases the losses caused by lightning strikes. What's worse, wind turbine fires, tower collapses, and runaway vehicles often occur, causing great economic losses to wind farm operations.

[0003] There is basically no data available for direct reference after the unit is struck by lightning, which causes a certain degree of trouble in the post-analysis of the lightning strike. At present, there is a lack of effective technical supervision means for lightning strikes on the units in the wind farm management process, which makes it impossible to achieve real-time status maintenance of the units.

[0004] At present, wind turbine lightning monitoring mostly adopts offline magnetic card type, and when the lightning current passes through, the magnetic card will record the peak value of the lightning current. It has the following problems:

[0005] It only records the historical current peak value, that is, the maximum current value of the lightning strike (events less than the historical lightning current peak value are not recorded). Therefore, the current magnetic card lightning recorder cannot accurately record the number of lightning strikes on the blades and the lightning current value of each lightning strike. This results in the wind farm being unable to accurately count the number of lightning strikes on the wind turbines and the corresponding current values, and cannot provide accurate reference information for analyzing the hidden dangers of blade failures, laying the groundwork for future safe and stable operation.

[0006] Secondly, every time the magnetic card recording card detects whether the blade has encountered a lightning strike, the maintenance personnel need to climb up the wind turbine to remove the recording card and read the lightning strike event. Some stations also need to mail the lightning recording card to a special manufacturer to read the lightning strike event. The whole process is relatively cumbersome and time-consuming. In addition, during the removal and transportation of the card, confusion can easily occur between units and between blades, which causes trouble for the subsequent analysis of the blade being struck by lightning.

[0007] Based on the above reasons, with the rapid intelligent development of the wind power industry, the demand for intelligent monitoring of lightning strikes on wind turbines is becoming increasingly strong. Summary of the invention

[0008] The present application provides a wind turbine intelligent lightning online monitoring system and method, which are used to improve the accuracy and timeliness of event judgment and the efficiency of problem handling, thereby further reducing the impact and losses of lightning strikes.

[0009] In a first aspect, a wind turbine intelligent lightning online monitoring system is provided, comprising:

[0010] A lightning strike monitor is used to pre-process lightning current data and send the pre-processed lightning current data to the wind turbine control system;

[0011] The wind turbine control system is used to analyze and process the pre-processed lightning current data to obtain lightning current data processing results, and send the lightning current data processing results to the wind farm centralized control system;

[0012] The wind farm centralized control system is used to centrally monitor and manage wind turbines according to the lightning current data processing results.

[0013] In the above technical scheme, a lightning strike monitor is used to pre-process lightning current data and send the pre-processed lightning current data to a wind turbine control system; the wind turbine control system is used to analyze and process the pre-processed lightning current data to obtain lightning current data processing results, and send the lightning current data processing results to a wind farm centralized control system; the wind farm centralized control system is used to centrally monitor and manage wind turbines based on the lightning current data processing results; the accuracy and timeliness of lightning strike judgment events are improved, and the efficiency of problem handling is improved, thereby further reducing the impact and losses of lightning strike events.

[0014] In a specific implementation scheme, it also includes: a lightning current sensor, wherein:

[0015] The lightning current sensor is used to collect lightning current data and send the collected lightning current data to the lightning strike monitor.

[0016] In a specific implementation scheme, the wind turbine control system includes:

[0017] The event report statistics module is used to count lightning strike events of wind turbines and generate event reports.

[0018] In a specific implementation scheme, the wind turbine control system includes:

[0019] A lightning wave simulation waveform drawing module is used to draw the lightning wave simulation waveform;

[0020] The real-time display module is used to display and output the event report, the lightning wave simulation wave and the lightning current data processing result.

[0021] In a second aspect, a method for online intelligent lightning monitoring of a wind turbine is provided, comprising the following steps:

[0022] The lightning current data is preprocessed by using a lightning strike monitor, and the preprocessed lightning current data is sent to the wind turbine control system;

[0023] Utilizing the wind turbine control system to analyze and process the preprocessed lightning current data to obtain a lightning current data processing result, and sending the lightning current data processing result to the wind farm centralized control system;

[0024] The wind farm centralized control system is used to centrally monitor and manage wind turbines according to the lightning current data processing results.

[0025] In the above technical scheme, a lightning strike monitor is used to pre-process lightning current data, and the pre-processed lightning current data is sent to a wind turbine control system; the wind turbine control system is used to analyze and process the pre-processed lightning current data to obtain a lightning current data processing result, and the lightning current data processing result is sent to a wind farm centralized control system; the wind farm centralized control system is used to centrally monitor and manage wind turbines based on the lightning current data processing result; the accuracy and timeliness of lightning strike judgment events are improved, and the efficiency of problem handling is improved, thereby further reducing the impact and losses of lightning strike events.

[0026] In a specific embodiment, it also includes:

[0027] The lightning current sensor is used to collect lightning current data, and the collected lightning current data is sent to the lightning strike monitor.

[0028] In a specific embodiment, it also includes:

[0029] The event report statistics module is used to count lightning strike events of wind turbines and generate event reports.

[0030] In a specific embodiment, it also includes:

[0031] The lightning wave simulation waveform is drawn using a lightning wave simulation waveform drawing module;

[0032] The event report, the lightning wave simulation wave and the lightning current data processing result are displayed and outputted using a real-time display module.

[0033] In a third aspect, an electronic device is provided, comprising a processor, the processor being coupled to a memory, the memory storing at least one computer program, the at least one computer program being loaded and executed by the processor so that the electronic device can implement any one of the methods for online intelligent lightning monitoring of wind turbines.

[0034] In the above technical scheme, a lightning strike monitor is used to pre-process lightning current data, and the pre-processed lightning current data is sent to a wind turbine control system; the wind turbine control system is used to analyze and process the pre-processed lightning current data to obtain a lightning current data processing result, and the lightning current data processing result is sent to a wind farm centralized control system; the wind farm centralized control system is used to centrally monitor and manage wind turbines based on the lightning current data processing result; the accuracy and timeliness of lightning strike judgment events are improved, and the efficiency of problem handling is improved, thereby further reducing the impact and losses of lightning strike events.

[0035] In a fourth aspect, a computer-readable storage medium is provided, wherein at least one computer program is stored in the computer-readable storage medium, and the at least one computer program is loaded and executed by a processor so that the computer-readable storage medium implements any one of the methods for online intelligent lightning monitoring of wind turbines.

[0036] In the above technical scheme, a lightning strike monitor is used to pre-process lightning current data, and the pre-processed lightning current data is sent to a wind turbine control system; the wind turbine control system is used to analyze and process the pre-processed lightning current data to obtain a lightning current data processing result, and the lightning current data processing result is sent to a wind farm centralized control system; the wind farm centralized control system is used to centrally monitor and manage wind turbines based on the lightning current data processing result; the accuracy and timeliness of lightning strike judgment events are improved, and the efficiency of problem handling is improved, thereby further reducing the impact and losses of lightning strike events. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A structural block diagram of the wind turbine intelligent lightning online monitoring system provided in the embodiment of the present application;

[0038] Figure 2 A flowchart of a method for online intelligent lightning monitoring of a wind turbine provided in an embodiment of the present application;

[0039] Figure 3 A schematic diagram of the structure of an intelligent online lightning monitoring system for wind turbines provided in an embodiment of the present application. DETAILED DESCRIPTION

[0040] The present application is further described in detail below through the accompanying drawings and embodiments. Through these descriptions, the characteristics and advantages of the present application will become clearer and more specific.

[0041] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. Although various aspects of the embodiments are shown in the drawings, the drawings are not necessarily drawn to scale unless otherwise noted.

[0042] In addition, the technical features involved in different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.

[0043] To facilitate understanding of the wind turbine intelligent lightning online monitoring system and method provided by the embodiment of the present application, its application scenario is first explained. The wind turbine intelligent lightning online monitoring system and method provided by the embodiment of the present application are used to improve the accuracy and timeliness of event judgment, improve the efficiency of problem handling, and thus further reduce the impact and loss of lightning strikes. At present, wind turbine lightning monitoring mostly adopts offline magnetic card type, and the magnetic card will record the peak value of lightning current when the lightning current passes through. It has the following problems: it only records the historical current peak value, that is, the maximum current value of the lightning strike suffered (events less than the historical lightning current peak value are not recorded), so the current magnetic card lightning recording card cannot accurately record the number of times the blade is struck by lightning and the lightning current value of each lightning strike event. This results in the wind farm being unable to accurately count the number of lightning strikes suffered by the wind turbine and the corresponding current value, and cannot provide accurate reference information for analyzing the hidden dangers of blade failure of the unit, laying the groundwork for future safe and stable operation. Secondly, every time the magnetic card recording card detects whether the blade has encountered a lightning strike, the maintenance personnel need to climb up the wind turbine to remove the recording card to read the lightning strike event. Some stations also need to mail the lightning recording card to a special manufacturer to read the lightning strike event. The whole process is relatively cumbersome and time-consuming. In addition, during the card removal and transportation process, confusion is easily caused between units and between blades, which causes trouble for the subsequent analysis of blade lightning strikes. Based on the above reasons, with the rapid intelligent development of the wind power industry, the demand for intelligent monitoring of lightning strikes on wind turbines is also increasing. For this reason, the embodiment of the present application provides a wind turbine intelligent lightning online monitoring system and method to improve the accuracy and timeliness of event judgment and improve the efficiency of problem handling, thereby further reducing the impact and loss of lightning strikes. The following is a detailed description of the embodiment in conjunction with specific drawings.

[0044] refer to Figures 1 to 3 , Figure 1 A structural block diagram of the wind turbine intelligent lightning online monitoring system provided in the embodiment of the present application; Figure 2 A flowchart of a method for online intelligent lightning monitoring of a wind turbine provided in an embodiment of the present application; Figure 3 A schematic diagram of the structure of an intelligent online lightning monitoring system for wind turbines provided in an embodiment of the present application.

[0045] exist Figure 1 and Figure 3 In the embodiment of the present application, a wind turbine intelligent lightning online monitoring system is provided, comprising:

[0046] A lightning strike monitor is used to pre-process lightning current data and send the pre-processed lightning current data to the wind turbine control system;

[0047] The wind turbine control system is used to analyze and process the pre-processed lightning current data to obtain lightning current data processing results, and send the lightning current data processing results to the wind farm centralized control system;

[0048] The wind farm centralized control system is used to centrally monitor and manage wind turbines according to the lightning current data processing results.

[0049] In the above technical scheme, a lightning strike monitor is used to pre-process lightning current data and send the pre-processed lightning current data to a wind turbine control system; the wind turbine control system is used to analyze and process the pre-processed lightning current data to obtain lightning current data processing results, and send the lightning current data processing results to a wind farm centralized control system; the wind farm centralized control system is used to centrally monitor and manage wind turbines based on the lightning current data processing results; the accuracy and timeliness of lightning strike judgment events are improved, and the efficiency of problem handling is improved, thereby further reducing the impact and losses of lightning strike events.

[0050] In a specific implementation scheme, it also includes: a lightning current sensor, wherein:

[0051] The lightning current sensor is used to collect lightning current data and send the collected lightning current data to the lightning strike monitor.

[0052] In a specific implementation scheme, the wind turbine control system includes:

[0053] The event report statistics module is used to count lightning strike events of wind turbines and generate event reports.

[0054] In a specific implementation scheme, the wind turbine control system includes:

[0055] A lightning wave simulation waveform drawing module is used to draw the lightning wave simulation waveform;

[0056] The real-time display module is used to display and output the event report, the lightning wave simulation wave and the lightning current data processing result.

[0057] In a specific implementation scheme, the wind turbine control system includes: a prediction module, wherein the prediction module is used to predict the future operation status of the wind turbine. This prediction is not limited to changes in meteorological conditions such as wind speed and wind direction, but also includes key operating parameters such as the output power, blade speed, and gearbox temperature of the wind turbine.

[0058] Specifically, the prediction module includes:

[0059] Data collection and processing unit: First, it collects a large amount of real-time and historical data from various sensors and data sources. These data cover meteorological conditions, the operating status of wind turbines, and past fault records. Then, the module cleans, integrates and formats these data to ensure data quality and consistency.

[0060] Prediction model building unit: Based on the collected data, machine learning algorithms or deep learning algorithms are used to build models that can accurately predict the future operating conditions of wind turbines. These models can continuously learn and optimize to improve the accuracy and reliability of predictions.

[0061] Prediction output unit: Once the prediction model is built, it will generate future operating status prediction results based on the new input data (such as current meteorological conditions and wind turbine status). These results may include key parameters such as future wind speed, wind direction, output power, and potential fault warning information.

[0062] Decision support unit: not only provides prediction results, but also gives corresponding decision suggestions based on these results. For example, when it is predicted that the wind speed will drop significantly, the module may recommend reducing the output power of the wind turbine to reduce wear and energy consumption. Or, when a potential failure is predicted, the module will issue an early warning so that the operation and maintenance personnel can take timely measures to carry out maintenance.

[0063] Real-time update and optimization unit: Continuously monitors the operating status of wind turbines and changes in meteorological conditions, and updates and optimizes the forecast model in real time based on new data. This ensures that the accuracy and reliability of the forecast results can continue to improve over time.

[0064] In the above technical solution, the prediction module can not only predict the future operating conditions in advance and provide decision support for operation and maintenance personnel, but also improve the accuracy and reliability of the prediction through continuous learning and optimization. This is of great significance for ensuring the efficient and safe operation of wind turbines.

[0065] Specifically, the wind turbine control system includes:

[0066] Real-time visualization of lightning strike information for each unit, alarm prompt after lightning strike; event report statistics and lightning wave simulation waveform drawing:

[0067] Lightning sensors are installed on each blade of the wind turbine. When a lightning strike occurs, the sensor will transmit the lightning strike event information to the background server, and the server background software will perform data analysis and processing.

[0068] This system has a total control system that can process and analyze the data detected by the monitoring system when a lightning strike occurs, so as to determine specifically which wind turbine and which blade was struck by lightning in which time period, and what the peak intensity of the lightning current was when it struck.

[0069] When it is determined that a specific blade has been hit, the system will also sound an alarm to remind staff, allowing them to more quickly identify the unit where the lightning strike occurred, conduct manual intervention as soon as possible, and make the next inspection and prevention work in a timely, accurate and effective manner, thereby minimizing the losses and impacts caused by the lightning strike.

[0070] In this embodiment, the intelligent online lightning monitoring system for wind turbines greatly saves time and labor costs in site management compared to traditional magnetic card offline monitoring of lightning strikes, and improves the accuracy and timeliness of event judgment, which improves the efficiency of problem handling and further reduces the impact and losses of lightning strikes.

[0071] The intelligent lightning monitoring system is completely independent of the wind turbine main control system and is not affected by the lack of communication of the wind turbine set or the crash of the main controller PLC.

[0072] As a new type of technical supervision method for lightning events, the intelligent lightning monitoring system provides favorable guarantees for post-analysis, cause finding and status maintenance of future lightning events.

[0073] refer to Figure 3 In a specific implementation scheme, the wind turbine intelligent lightning online monitoring system includes a collection terminal, an intermediate transmission terminal and a data terminal, wherein:

[0074] The acquisition end includes a lightning current sensor, a lightning monitor and a wireless transmitter (transmitter). The lightning current is collected by the lightning current sensor and sent to the lightning monitor. The lightning monitor processes the received lightning current data and sends it to the intermediate transmission end via the wireless transmitter (transmitter).

[0075] The intermediate transmission end includes the wireless transmitter (receiving end), a 485 serial port server, a J45 photoelectric converter and a photoelectric converter (optical cable end) and a ring network switch; the processed lightning current data is transmitted to the data terminal via the intermediate transmission end;

[0076] The data terminal includes an access main server, and the access main server performs online monitoring of the wind turbine generator set according to the received lightning current data.

[0077] In the above technical solution, the intelligent online lightning monitoring system for wind turbines greatly saves time and labor costs in site management compared with the traditional magnetic card offline monitoring of lightning strikes, and improves the accuracy and timeliness of event judgment, which improves the efficiency of problem handling and further reduces the impact and losses of lightning strikes.

[0078] exist Figure 2 In the embodiment of the present application, a method for online intelligent lightning monitoring of a wind turbine generator system is provided, comprising the following steps:

[0079] The lightning current data is preprocessed by using a lightning strike monitor, and the preprocessed lightning current data is sent to the wind turbine control system;

[0080] Utilizing the wind turbine control system to analyze and process the preprocessed lightning current data to obtain a lightning current data processing result, and sending the lightning current data processing result to the wind farm centralized control system;

[0081] The wind farm centralized control system is used to centrally monitor and manage wind turbines according to the lightning current data processing results.

[0082] In the above technical scheme, a lightning strike monitor is used to pre-process lightning current data, and the pre-processed lightning current data is sent to a wind turbine control system; the wind turbine control system is used to analyze and process the pre-processed lightning current data to obtain a lightning current data processing result, and the lightning current data processing result is sent to a wind farm centralized control system; the wind farm centralized control system is used to centrally monitor and manage wind turbines based on the lightning current data processing result; the accuracy and timeliness of lightning strike judgment events are improved, and the efficiency of problem handling is improved, thereby further reducing the impact and losses of lightning strike events.

[0083] In a specific embodiment, it also includes:

[0084] The lightning current sensor is used to collect lightning current data, and the collected lightning current data is sent to the lightning strike monitor.

[0085] In a specific embodiment, it also includes:

[0086] The event report statistics module is used to count lightning strike events of wind turbines and generate event reports.

[0087] In a specific embodiment, it also includes:

[0088] The lightning wave simulation waveform is drawn using a lightning wave simulation waveform drawing module;

[0089] The event report, the lightning wave simulation wave and the lightning current data processing result are displayed and outputted using a real-time display module.

[0090] An embodiment of the present application also provides an electronic device, comprising a processor, wherein the processor is coupled to a memory, wherein at least one computer program is stored in the memory, and the at least one computer program is loaded and executed by the processor so that the electronic device can implement any one of the methods for online intelligent lightning monitoring of wind turbines.

[0091] In the above technical scheme, a lightning strike monitor is used to pre-process lightning current data, and the pre-processed lightning current data is sent to a wind turbine control system; the wind turbine control system is used to analyze and process the pre-processed lightning current data to obtain a lightning current data processing result, and the lightning current data processing result is sent to a wind farm centralized control system; the wind farm centralized control system is used to centrally monitor and manage wind turbines based on the lightning current data processing result; the accuracy and timeliness of lightning strike judgment events are improved, and the efficiency of problem handling is improved, thereby further reducing the impact and losses of lightning strike events.

[0092] An embodiment of the present application also provides a computer-readable storage medium, in which at least one computer program is stored. The at least one computer program is loaded and executed by a processor so that the computer-readable storage medium implements any one of the methods for online intelligent lightning monitoring of wind turbines.

[0093] In the above technical scheme, a lightning strike monitor is used to pre-process lightning current data, and the pre-processed lightning current data is sent to a wind turbine control system; the wind turbine control system is used to analyze and process the pre-processed lightning current data to obtain a lightning current data processing result, and the lightning current data processing result is sent to a wind farm centralized control system; the wind farm centralized control system is used to centrally monitor and manage wind turbines based on the lightning current data processing result; the accuracy and timeliness of lightning strike judgment events are improved, and the efficiency of problem handling is improved, thereby further reducing the impact and losses of lightning strike events.

[0094] Those skilled in the art will appreciate that the present application may be implemented as a system, method or computer program product.

[0095] Therefore, the present disclosure may be specifically implemented in the following forms, namely: it may be completely hardware, it may be completely software (including firmware, resident software, microcode, etc.), or it may be a combination of hardware and software, generally referred to herein as a "circuit", "module" or "system". In addition, in some embodiments, the present application may also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium may contain computer-readable program code.

[0096] Any combination of one or more computer-readable media can be used. Computer-readable media can be computer-readable signal media or computer-readable storage media. Computer-readable storage media can be, for example, but not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or devices, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: electrical connections with one or more wires, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this document, computer-readable storage media can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0097] Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art can change, modify, replace and modify the above embodiments within the scope of the present application. On this basis, a variety of replacements and improvements can be made to the present application, all of which fall within the scope of protection of the present application.

Claims

1. An intelligent online lightning monitoring system for wind turbines, characterized in that: include: A lightning strike monitor is used to pre-process lightning current data and send the pre-processed lightning current data to the wind turbine control system; The wind turbine control system is used to analyze and process the pre-processed lightning current data to obtain lightning current data processing results, and send the lightning current data processing results to the wind farm centralized control system; The wind farm centralized control system is used to centrally monitor and manage wind turbines according to the lightning current data processing results.

2. The wind turbine intelligent lightning online monitoring system according to claim 1 is characterized in that: Also includes: Lightning current sensor, where The lightning current sensor is used to collect lightning current data and send the collected lightning current data to the lightning strike monitor.

3. The wind turbine intelligent lightning online monitoring system according to claim 2 is characterized in that: The wind turbine control system comprises: The event report statistics module is used to count lightning strike events of wind turbines and generate event reports.

4. The wind turbine intelligent lightning online monitoring system according to claim 3 is characterized in that: The wind turbine control system comprises: A lightning wave simulation waveform drawing module is used to draw the lightning wave simulation waveform; The real-time display module is used to display and output the event report, the lightning wave simulation wave and the lightning current data processing result.

5. A method for online intelligent lightning monitoring of a wind turbine generator system, characterized in that: The following steps are involved: The lightning current data is preprocessed by using a lightning strike monitor, and the preprocessed lightning current data is sent to the wind turbine control system; Utilizing the wind turbine control system to analyze and process the preprocessed lightning current data to obtain a lightning current data processing result, and sending the lightning current data processing result to the wind farm centralized control system; The wind farm centralized control system is used to centrally monitor and manage wind turbines according to the lightning current data processing results.

6. The method for online intelligent lightning monitoring of a wind turbine generator set according to claim 5, characterized in that: Also includes: The lightning current sensor is used to collect lightning current data, and the collected lightning current data is sent to the lightning strike monitor.

7. The method for online intelligent lightning monitoring of a wind turbine generator set according to claim 6, characterized in that: Also includes: The event report statistics module is used to count lightning strike events of wind turbines and generate event reports.

8. The method for online intelligent lightning monitoring of a wind turbine generator set according to claim 7, characterized in that: Also includes: The lightning wave simulation waveform is drawn using a lightning wave simulation waveform drawing module; The real-time display module is used to display and output the event report, the lightning wave simulation wave and the lightning current data processing result.

9. An electronic device, characterized in that: The electronic device includes a processor, the processor is coupled to a memory, at least one computer program is stored in the memory, and the at least one computer program is loaded and executed by the processor so that the electronic device implements the intelligent online lightning monitoring method for wind turbines as described in any one of claims 5 to 8.

10. A computer-readable storage medium, characterized in that: At least one computer program is stored in the computer-readable storage medium, and the at least one computer program is loaded and executed by the processor, so that the computer-readable storage medium implements the intelligent online lightning monitoring method for wind turbines according to any one of claims 5 to 8.

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