A lightning protection wind power distribution box, remote sensing system and method

Abstract

The present application relates to the technical field of remote monitoring induction, and particularly relates to a lightning-protection wind energy distribution box, a remote induction system and method; the method comprises the following steps: deploying multiple types of sensors, respectively collecting lightning protection, equipment operation and environmental data, and using dual-mode communication to transmit the data in real time; preprocessing the received data and performing data correlation, respectively predicting lightning risk, evaluating lightning impact, analyzing lightning protection system health, fusing to form a comprehensive analysis report, and giving the comprehensive analysis report a priority; generating a hierarchical control instruction according to the comprehensive analysis report, executing the hierarchical control instruction, and synchronously verifying the execution effect and archiving to form a closed-loop management; the system comprises a monitoring data real-time acquisition module, a monitoring data multi-dimensional analysis module and a control instruction execution module; through the above-mentioned mode, the initiative and effectiveness of lightning protection of the wind energy distribution box are improved.

Description

Technical Field

[0001] This invention relates to the field of remote monitoring and sensing technology, and in particular to a lightning-proof wind power distribution box, a remote sensing system, and a method. Background Technology

[0002] Wind power distribution boxes, as the core equipment connecting wind turbines to the power grid, integrate numerous high-voltage electrical components and are often deployed in open grasslands, mountains, and offshore areas susceptible to lightning strikes. Traditional lightning protection measures, primarily passive (such as installing surge arresters and grounding devices), have significant drawbacks. Data acquisition is delayed: relying on regular manual inspections (every 1-3 months), it is impossible to obtain lightning protection-related data in real time, and on-site investigation is required to confirm the situation after a lightning strike; Passive control command execution: There is no automatic control mechanism. After a lightning strike, manual on-site operation is required to cut off the power and carry out maintenance. The response time is long (usually >2 hours), which can easily lead to the expansion of the fault.

[0003] In summary, among existing lightning protection measures, the proactiveness and effectiveness of lightning protection for wind power distribution boxes are relatively poor. Summary of the Invention

[0004] The purpose of this invention is to provide a wind power distribution box, a remote sensing system and method for lightning protection, aiming to solve the technical problem that the proactiveness and effectiveness of lightning protection for wind power distribution boxes in existing lightning protection measures are poor.

[0005] To achieve the above objectives, the present invention employs a remote sensing method for wind power distribution boxes to prevent lightning strikes, comprising the following steps: Multiple types of sensors are deployed to collect data on lightning protection, equipment operation, and the environment, and dual-mode communication is used to transmit the data in real time. The received data is preprocessed and correlated to predict lightning risk, assess the impact of lightning strikes, and analyze the health of the lightning protection system. The data is then integrated to form a comprehensive assessment report, which is then assigned a priority. Based on the comprehensive assessment report, hierarchical control instructions are generated, executed, and their effectiveness is verified and archived simultaneously, forming a closed-loop management system.

[0006] Among the steps, the deployment of multiple types of sensors to collect data on lightning protection, equipment operation, and the environment, and the use of dual-mode communication for real-time data transmission are as follows: Multiple types of sensors are deployed inside and around the wind power distribution box to collect data on atmospheric electric field strength, lightning electromagnetic pulse, changes in grounding resistance, and leakage current and voltage drop of lightning protection devices. Deploy sensors to collect equipment operating parameters, including input / output voltage, current, power, and internal temperature data of the distribution box. Deploy environmental monitoring sensors to collect environmental data such as ambient temperature, humidity, wind speed, and precipitation around the power distribution box.

[0007] Among the steps, the deployment of multiple types of sensors to collect data on lightning protection, equipment operation, and the environment, and the use of dual-mode communication for real-time data transmission are as follows: Using a dual-mode communication method, the raw data collected by various sensors is filtered, noise-reduced, and format-converted before being transmitted in real time.

[0008] The steps include: preprocessing and correlating the received data; predicting lightning risks; assessing the impact of lightning strikes; analyzing the health of lightning protection systems; integrating the data to form a comprehensive assessment report; and assigning priorities to the comprehensive assessment report. The received data is preprocessed; the preprocessing process includes data validity verification and the removal of data that is outside the measurement range or has abnormal signal fluctuations. By mapping and associating lightning protection data, equipment operation data, and environmental data, connections between multi-source data are established to generate structured datasets. Based on the correlated dataset, lightning risk prediction, lightning strike impact assessment, and lightning protection system health analysis are performed, and the analysis results are output.

[0009] After performing lightning risk prediction, lightning strike impact assessment, and lightning protection system health analysis based on the correlated dataset, and outputting the analysis results: The results of lightning risk prediction, lightning strike impact assessment, and lightning protection system health analysis are integrated to form a comprehensive assessment report that includes risk level, scope of impact, and treatment recommendations.

[0010] Among the steps involved in integrating lightning risk prediction results, lightning strike impact assessment results, and lightning protection system health analysis results to form a comprehensive assessment report that includes risk level, impact range, and treatment recommendations: The priority of the comprehensive assessment report is assigned based on the urgency of the risk.

[0011] Among these steps, the process of generating tiered control instructions based on a comprehensive assessment report, executing these instructions, simultaneously verifying their effectiveness, and archiving the results constitutes a closed-loop management system. Based on the priority and content of the comprehensive assessment report, generate tiered control instructions; The operation is executed according to the hierarchical control instructions, and the operation data is fed back in real time.

[0012] After the steps of executing operations according to hierarchical control instructions and providing real-time feedback of operation data: Receive status feedback data, verify the execution effect of control commands, and if the execution is effective, update the event processing file, record the command type, execution time, and execution result information to form a complete closed-loop management process.

[0013] This invention also provides a remote sensing system for wind power distribution boxes to protect against lightning strikes, including a real-time monitoring data acquisition module, a multi-dimensional monitoring data analysis module, and a control command execution module; wherein: The real-time monitoring data acquisition module is used to deploy multiple types of sensors to collect lightning protection, equipment operation, and environmental data respectively, and to transmit the data in real time using dual-mode communication; The multi-dimensional analysis module for monitoring data is used to preprocess the received data and perform data correlation, respectively predict lightning risk, assess the impact of lightning strikes, analyze the health of lightning protection systems, integrate them to form a comprehensive assessment report, and assign priority to the comprehensive assessment report; The control command execution module is used to generate hierarchical control commands based on the comprehensive assessment report, execute the hierarchical control commands, and simultaneously verify and archive the execution effects, forming a closed-loop management.

[0014] The present invention also provides a lightning-proof wind power distribution box controlled by the aforementioned remote sensing method.

[0015] This invention discloses a wind power distribution box, remote sensing system, and method for lightning protection. The method employs a real-time monitoring data acquisition module, a multi-dimensional monitoring data analysis module, and a control command execution module to perform the following steps: deploying multiple types of sensors to collect lightning protection, equipment operation, and environmental data, and transmitting the data in real-time using dual-mode communication; preprocessing and correlating the received data to predict lightning risk, assess the impact of lightning strikes, and analyze the health of the lightning protection system, fusing these data to form a comprehensive assessment report, and assigning priority to the report; generating tiered control commands based on the comprehensive assessment report, executing these commands, simultaneously verifying the execution effect, and archiving the results to form a closed-loop management system; through these methods, the initiative and effectiveness of lightning protection for wind power distribution boxes are improved. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart of the steps of the remote sensing method for wind power distribution boxes to prevent lightning strikes according to the present invention.

[0018] Figure 2This is a flowchart of steps S100 of the present invention.

[0019] Figure 3 This is a flowchart of steps S200 of the present invention.

[0020] Figure 4 This is a flowchart of steps S300 of the present invention.

[0021] Figure 5 This is a schematic diagram of the remote sensing system for wind power distribution boxes that is protected against lightning strikes, according to the present invention.

[0022] Figure 6 This is a schematic diagram of the electronic device of the present invention.

[0023] 401 - Real-time monitoring data acquisition module; 402 - Multi-dimensional monitoring data analysis module; 403 - Control command execution module. Detailed Implementation

[0024] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application.

[0025] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The singular forms “a,” “the,” and “the” used in this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0026] It should be understood that although the terms first, second, third, etc., may be used in this application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to determination."

[0027] Please see Figures 1-4 This invention provides a remote sensing method for lightning protection of wind power distribution boxes, comprising the following steps: S100: Deploys multiple types of sensors to collect data on lightning protection, equipment operation, and the environment, and uses dual-mode communication to transmit the data in real time.

[0028] In this embodiment, multiple types of sensors are deployed to collect data on lightning protection, equipment operation, and the environment, and dual-mode communication is used for real-time data transmission. The specific process is as follows: S101: Deploy multiple types of sensors inside and around the wind power distribution box to collect data on atmospheric electric field strength, lightning electromagnetic pulse, changes in grounding resistance, and leakage current and voltage drop of lightning protection devices. S102: Deploy equipment operation parameter acquisition sensors to collect equipment operation data such as input / output voltage, current, power, and internal temperature of the distribution box; S103: Deploy environmental monitoring sensors to collect environmental data such as ambient temperature, humidity, wind speed, and precipitation around the distribution box; S104: Employs dual-mode communication to transmit raw data collected by various sensors in real time after filtering, noise reduction, and format conversion.

[0029] In the above process, specialized lightning protection sensors are deployed inside and around the wind power distribution box, including atmospheric electric field sensors, lightning electromagnetic pulse sensors, grounding resistance monitoring sensors, and lightning protection device status monitors. These sensors collect lightning protection-related data such as atmospheric electric field strength, lightning electromagnetic pulses, changes in grounding resistance, and leakage current and voltage drop of lightning protection devices. Equipment operation parameter acquisition sensors are also deployed, using voltage transformers, current transformers, and temperature sensors to collect equipment operation data such as input / output voltage, current, power, and internal temperature of the distribution box. Environmental monitoring sensors are deployed to collect environmental data such as ambient temperature, humidity, wind speed, and precipitation around the distribution box. A 4G / 5G + BeiDou satellite dual-mode communication unit is used to filter, reduce noise, and convert the format of the raw data collected by various sensors in a local processing unit before transmitting it in real time to the remote monitoring platform. When the 4G / 5G signal is interrupted, the system automatically switches to BeiDou satellite communication mode.

[0030] S200: Preprocesses the received data and performs data correlation to predict lightning risks, assess the impact of lightning strikes, and analyze the health of the lightning protection system. It then integrates these data to form a comprehensive assessment report and assigns priority to the comprehensive assessment report.

[0031] In this embodiment, the received data is preprocessed and correlated to predict lightning risk, assess the impact of lightning strikes, and analyze the health of the lightning protection system. These analyses are then combined to form a comprehensive assessment report, which is assigned a priority. The specific process is as follows: S201: Preprocess the received data; the preprocessing process includes data validity verification and removing data that is outside the measurement range or has abnormal signal fluctuations. S202: Link and map lightning protection data, equipment operation data, and environmental data to establish connections between multi-source data and generate structured datasets; S203: Based on the correlated dataset, perform lightning risk prediction, lightning strike impact assessment and lightning protection system health analysis, and output the analysis results; S204: Integrate the results of lightning risk prediction, lightning strike impact assessment, and lightning protection system health analysis to form a comprehensive assessment report that includes risk level, impact range, and handling recommendations, and assign priority to the comprehensive assessment report according to the urgency of the risk.

[0032] In the above process, the remote monitoring platform preprocesses the received data, including data validity verification, removing data that exceeds the measurement range or has abnormal signal fluctuations, to ensure data accuracy. The preprocessed lightning protection data, equipment operation data, and environmental data are then correlated and mapped to establish connections between the multi-source data, generating a structured dataset.

[0033] Based on the correlated dataset, lightning risk prediction, lightning strike impact assessment, and lightning protection system health analysis were performed, including: I. Lightning Risk Prediction Process First, preprocessed and correlated time-series data of atmospheric electric field intensity are extracted, including electric field intensity values ​​collected every second for the past 10 minutes and intensity fluctuation frequency (the number of times the intensity change exceeds 1 kV / m per unit time), while humidity values ​​from the environmental data of the same period are retrieved. Second, these data are input into a lightning risk prediction model built on an LSTM neural network. The lightning risk prediction model is trained and optimized using historical lightning event data of the same region (including samples of electric field characteristics and environmental humidity before lightning events). When the model runs, it first calculates atmospheric... The trend of electric field strength changes (e.g., a continuous increase in strength and an increase in fluctuation frequency indicate a higher risk), combined with humidity data (humidity ≥85%RH accelerates lightning formation), outputs the probability of lightning occurrence (0~100%) and the expected occurrence time (0~60 minutes). Finally, the risk level is determined according to preset standards: a probability ≥70% and an expected time ≤30 minutes is considered high risk; a probability of 50%~69% and an expected time of 31~60 minutes is considered medium risk; and a probability <50% is considered low risk, thus completing the lightning risk prediction.

[0034] II. Lightning Strike Impact Assessment Process First, identify the peak value of the signal collected by the lightning electromagnetic pulse sensor (if the peak value is ≥50kV, it is determined to be a lightning strike event), and extract the equipment operation data within 5 minutes before and after the event, including voltage fluctuation amplitude (the percentage of the difference between the actual voltage and the rated voltage to the rated voltage), current surge peak value (the ratio of the maximum current during the lightning strike to the rated current), and the internal temperature change rate of the distribution box (the change in temperature per unit time). Second, establish a correlation analysis logic between the electromagnetic pulse peak value and the changes in equipment parameters: if the electromagnetic pulse peak value is 50~80kV, and the voltage fluctuation is 10%~15%, the current surge is 1.5~2 times the rated value, and the temperature change rate is 3~5℃ / min, it is determined to be minor damage. The equipment has not yet shown any core faults but requires attention; if the peak voltage is 81~100kV, with voltage fluctuation of 16%-20%, current surge of 2.1~3 times the rated value, and temperature change rate of 6~8℃ / min, it is judged as moderate damage, indicating that some electrical components may have abnormal performance; if the peak voltage is >100kV, with voltage fluctuation >20%, current surge >3 times the rated value, and temperature change rate >8℃ / min, it is judged as "severe damage", meaning that the equipment is likely to have serious faults; finally, combined with the equipment's historical operation and maintenance records (such as whether similar damage has occurred recently, whether maintenance has just been completed), the preliminary judgment results are revised to finally determine the actual impact of the lightning strike on the distribution box and complete the lightning strike impact assessment.

[0035] III. Lightning Protection System Health Analysis Process First, extract the grounding resistance values ​​collected hourly by the grounding resistance monitoring sensor and calculate the grounding resistance change rate (the percentage of the difference between the current resistance value and the resistance value of the previous hour to the resistance value of the previous hour). Simultaneously, acquire leakage current and voltage drop data collected by the surge protection device status monitor and calculate the leakage current growth rate (the percentage of the difference between the current leakage current and the initial leakage current to the initial leakage current). Second, incorporate humidity and precipitation information from environmental data: if the ambient humidity is ≥85%RH, it will accelerate the aging of surge protection devices, requiring an increased sensitivity in detecting abnormal leakage current during analysis; if continuous rainfall lasts ≥2 hours, it may cause moisture corrosion of the grounding electrode, requiring close attention to the grounding resistance change rate. Then, construct a health rating system (total score). (100 points): 40 points are awarded for grounding resistance ≤ 10Ω and change rate ≤ 2Ω / h, with a deduction of 5 points for each 1Ω or 1Ω / h exceeding the limit; 40 points are awarded for leakage current of surge protection devices ≤ 5mA and growth rate ≤ 1mA / h, with a deduction of 4 points for each 0.5mA or 0.5mA / h exceeding the limit; 20 points are awarded for ambient humidity ≤ 85%RH and no continuous rainfall, with a deduction of 2 points for each 5% increase in humidity or each additional hour of continuous rainfall; Finally, the scores for each item are added together to obtain the total health score of the surge protection system: a total score ≥ 80 points indicates a healthy system, meaning the surge protection system is operating normally; 60-79 points indicate a sub-healthy system, requiring increased monitoring frequency; < 60 points indicate a risk of failure, indicating potential hazards in the surge protection system, requiring timely repair. This completes the surge protection system health analysis.

[0036] The results of lightning risk prediction, lightning strike impact assessment, and lightning protection system health analysis are integrated to form a comprehensive assessment report that includes risk level, impact range, and handling recommendations. The report is then assigned a priority based on the urgency of the risk, with priorities including urgent, important, and general.

[0037] S300: Generates hierarchical control instructions based on the comprehensive assessment report, executes the hierarchical control instructions, and simultaneously verifies and archives the execution effects, forming a closed-loop management system.

[0038] In this implementation, hierarchical control instructions are generated based on the comprehensive assessment report, executed, and their effectiveness is simultaneously verified and archived, forming a closed-loop management system. The specific process is as follows: S301: Generate hierarchical control instructions based on the priority and content of the comprehensive assessment report; S302: Execute operations according to hierarchical control instructions and provide real-time feedback of operation data; S303: Receives status feedback data, verifies the execution effect of control commands, and updates the event processing file if the execution is effective, recording the command type, execution time, and execution result information to form a complete closed-loop management process.

[0039] During the aforementioned process, the remote monitoring platform automatically generates tiered control commands based on the priority and content of the comprehensive assessment report. Emergency priority commands correspond to emergency power outages and emergency bypass of lightning protection devices; important priority commands correspond to reduced equipment load operation and emergency dispatch of maintenance personnel; and general priority commands correspond to routine maintenance work order generation and parameter threshold fine-tuning. The generated tiered control commands are transmitted to the local control unit of the wind power distribution box via a dual-mode communication protocol using an encrypted protocol. Upon receiving the command, the local control unit sends back a confirmation signal. If no confirmation signal is received, it automatically retransmits the command or switches the communication mode for transmission. The local control unit executes the corresponding operations according to the received tiered control commands. After the operations are completed, it collects equipment status data and feeds it back to the remote monitoring platform in real time. The remote monitoring platform receives the status feedback data, verifies the execution effect of the control commands, and updates the event processing file if the execution is effective, recording information such as command type, execution time, and execution result, forming a complete closed-loop management process.

[0040] Corresponding to the aforementioned embodiments of the remote sensing method for lightning-proof wind power distribution boxes, this application also provides embodiments of a remote sensing system for lightning-proof wind power distribution boxes.

[0041] Figure 5 This is a block diagram illustrating a remote sensing system for a wind power distribution box designed to withstand lightning strikes, according to an exemplary embodiment. (Refer to...) Figure 5 The system may include: a real-time monitoring data acquisition module 401, a multi-dimensional monitoring data analysis module 402, and a control command execution module 403; wherein: The real-time monitoring data acquisition module 401 is used to deploy multiple types of sensors to collect lightning protection, equipment operation, and environmental data respectively, and to transmit the data in real time using dual-mode communication; The monitoring data multi-dimensional analysis module 402 is used to preprocess the received data and perform data association, respectively predict lightning risk, assess the impact of lightning strikes, analyze the health of the lightning protection system, integrate them to form a comprehensive judgment report, and assign priority to the comprehensive judgment report; The control command execution module 403 is used to generate hierarchical control commands based on the comprehensive analysis report, execute the hierarchical control commands, and simultaneously verify and archive the execution effects to form a closed-loop management.

[0042] In this embodiment, the real-time monitoring data acquisition module 401 deploys multiple types of sensors to collect data on lightning protection, equipment operation, and the environment, and transmits the data in real time using dual-mode communication. The multi-dimensional monitoring data analysis module 402 preprocesses the received data and performs data correlation to predict lightning risk, assess the impact of lightning strikes, and analyze the health of the lightning protection system, integrating the data to form a comprehensive assessment report and assigning priority to the report. The control command execution module 403 generates hierarchical control commands based on the comprehensive assessment report, executes the hierarchical control commands, and simultaneously verifies and archives the execution effects, forming a closed-loop management system. Through the above methods, the initiative and effectiveness of lightning protection for wind power distribution boxes are improved.

[0043] Regarding the system in the above embodiments, the specific ways in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated here.

[0044] For the system embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this application according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0045] The present invention also provides a lightning-proof wind power distribution box controlled by the aforementioned remote sensing method.

[0046] Accordingly, this application also provides an electronic device, comprising: one or more processors; a memory for storing one or more programs; and, when the one or more programs are executed by the one or more processors, causing the one or more processors to implement the above-described remote sensing method for lightning protection of wind power distribution boxes. Figure 6 The diagram shown is a hardware structure diagram of any device with data processing capabilities within a remote sensing system for a lightning-protected wind power distribution box, as provided in an embodiment of the present invention. (Except for...) Figure 6 In addition to the processor, memory, and network interface shown, any data processing device in the embodiment may also include other hardware depending on the actual function of the data processing device, which will not be described in detail here.

[0047] Accordingly, this application also provides a computer-readable storage medium storing computer instructions, which, when executed by a processor, implement the aforementioned remote sensing method for lightning protection of wind power distribution boxes. The computer-readable storage medium can be an internal storage unit of any data processing device as described in any of the foregoing embodiments, such as a hard disk or memory. The computer-readable storage medium can also be an external storage device, such as a plug-in hard disk, smart media card (SMC), SD card, flash card, etc., equipped on the device. Furthermore, the computer-readable storage medium can include both internal storage units of any data processing device and external storage devices. The computer-readable storage medium is used to store the computer program and other programs and data required by the data processing device, and can also be used to temporarily store data that has been output or will be output.

[0048] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein.

[0049] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope.

Claims

1. A remote sensing method for lightning protection of wind power distribution boxes, characterized in that, Includes the following steps: Multiple types of sensors are deployed to collect data on lightning protection, equipment operation, and the environment, and dual-mode communication is used to transmit the data in real time. The received data is preprocessed and correlated to predict lightning risks, assess the impact of lightning strikes, and analyze the health of the lightning protection system. These are then integrated to form a comprehensive assessment report, which is then assigned a priority. Based on the comprehensive assessment report, hierarchical control instructions are generated, executed, and their effectiveness is verified and archived simultaneously, forming a closed-loop management system.

2. The remote sensing method for lightning protection wind power distribution boxes as described in claim 1, characterized in that, In the process of deploying multiple types of sensors to collect data on lightning protection, equipment operation, and the environment, and using dual-mode communication for real-time data transmission: Multiple types of sensors are deployed inside and around the wind power distribution box to collect data on atmospheric electric field strength, lightning electromagnetic pulse, changes in grounding resistance, and leakage current and voltage drop of lightning protection devices. Deploy sensors to collect equipment operating parameters, including input / output voltage, current, power, and internal temperature data of the distribution box. Deploy environmental monitoring sensors to collect environmental data such as ambient temperature, humidity, wind speed, and precipitation around the power distribution box.

3. The remote sensing method for lightning protection wind power distribution boxes as described in claim 2, characterized in that, In the process of deploying multiple types of sensors to collect data on lightning protection, equipment operation, and the environment, and using dual-mode communication for real-time data transmission: Using a dual-mode communication method, the raw data collected by various sensors is filtered, noise-reduced, and format-converted before being transmitted in real time.

4. The remote sensing method for lightning protection wind power distribution boxes as described in claim 1, characterized in that, In the steps of preprocessing and correlating the received data, predicting lightning risks, assessing the impact of lightning strikes, analyzing the health of lightning protection systems, integrating the data to form a comprehensive assessment report, and assigning priorities to the comprehensive assessment report: Preprocess the received data; The preprocessing process includes data validity verification and the removal of data that is outside the measurement range or has abnormal signal fluctuations; By mapping and associating lightning protection data, equipment operation data, and environmental data, connections between multi-source data are established to generate structured datasets. Based on the correlated dataset, lightning risk prediction, lightning strike impact assessment, and lightning protection system health analysis are performed, and the analysis results are output.

5. The remote sensing method for lightning protection wind power distribution boxes as described in claim 4, characterized in that, After performing lightning risk prediction, lightning strike impact assessment, and lightning protection system health analysis based on the correlated dataset, and outputting the analysis results: The results of lightning risk prediction, lightning strike impact assessment, and lightning protection system health analysis are integrated to form a comprehensive assessment report that includes risk level, scope of impact, and treatment recommendations.

6. The remote sensing method for lightning protection wind power distribution boxes as described in claim 5, characterized in that, In the process of integrating lightning risk prediction results, lightning strike impact assessment results, and lightning protection system health analysis results to form a comprehensive assessment report that includes risk level, impact range, and treatment recommendations: The priority of the comprehensive assessment report is assigned based on the urgency of the risk.

7. The remote sensing method for lightning protection wind power distribution boxes as described in claim 6, characterized in that, In the process of generating tiered control instructions based on the comprehensive assessment report, executing the tiered control instructions, simultaneously verifying the execution effect and archiving the results, thus forming a closed-loop management system: Based on the priority and content of the comprehensive assessment report, generate tiered control instructions; The operation is executed according to the hierarchical control instructions, and the operation data is fed back in real time.

8. The remote sensing method for lightning protection wind power distribution boxes as described in claim 7, characterized in that, After executing operations according to hierarchical control instructions and providing real-time feedback of operational data: Receive status feedback data, verify the execution effect of control commands, and if the execution is effective, update the event processing file, record the command type, execution time, and execution result information to form a complete closed-loop management process.

9. A remote sensing system for wind power distribution boxes to protect against lightning strikes, applied to the remote sensing method as described in claim 1, characterized in that, It includes a real-time monitoring data acquisition module, a multi-dimensional monitoring data analysis module, and a control command execution module; among which: The real-time monitoring data acquisition module is used to deploy multiple types of sensors to collect lightning protection, equipment operation, and environmental data respectively, and to transmit the data in real time using dual-mode communication; The multi-dimensional analysis module for monitoring data is used to preprocess the received data and perform data correlation, respectively predict lightning risk, assess the impact of lightning strikes, analyze the health of lightning protection systems, integrate them to form a comprehensive assessment report, and assign priority to the comprehensive assessment report; The control command execution module is used to generate hierarchical control commands based on the comprehensive assessment report, execute the hierarchical control commands, and simultaneously verify and archive the execution effects, forming a closed-loop management.

10. A lightning-proof wind power distribution box, characterized in that, Controlled by the remote sensing method according to any one of claims 1-8.

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