A lightning protection grounding operation and maintenance system for wind turbines based on the Internet of Things platform

Abstract

This application relates to the field of intelligent operation and maintenance technologies, and particularly to a lightning protection and grounding operation and maintenance system for wind turbine generators based on an Internet of Things platform. The system includes: an integrated analysis module for monitoring the operating conditions and diagnosing faults of the lightning protection and grounding device of the wind turbine generator to obtain working parameters and fault diagnosis results, and determining the parameters to be operated and maintained based on the fault diagnosis results; a transmission module for wirelessly transmitting the parameters to be operated and maintained to the Internet of Things terminal module; and an Internet of Things terminal module for receiving the parameters to be operated and maintained, inputting the parameters to be operated and maintained into a simulation model to obtain simulation parameters, evaluating the operation and maintenance index of the parameters to be operated and maintained according to the simulation parameters, correcting the parameters to be operated and maintained according to the operation and maintenance index, and performing maintenance according to the corrected parameters to be operated and maintained. The present invention solves the technical problem that the operation and maintenance system mainly relies on manual timing detection, which has many drawbacks.

Description

Technical Field

[0001] This application relates to the technical field of intelligent operation and maintenance, and particularly to a lightning protection and grounding operation and maintenance system for wind turbines based on an Internet of Things platform. Background Art

[0002] Currently, the operation and maintenance systems for lightning protection and grounding devices of wind turbines mainly rely on manual regular inspections. There are a large number of lightning protection and grounding devices, and the inspection is time-consuming and laborious. Moreover, for each manual monitoring and operation and maintenance, various testers, test wires, and tools need to be carried, which not only has a high cost but also poor real-time performance, easily increasing the failure rate of the lightning protection and grounding devices of wind turbines and reducing the working life. Considering the safety guarantee and comfort improvement of operation and maintenance personnel, the reduction of operation and maintenance costs, the production efficiency of wind farms, and the actual situation of wind farms, there is an urgent need for an "online, real-time, remote transmission, intelligent, and reliable" operation and maintenance system. Summary of the Invention

[0003] To solve the above technical problems, this application provides a lightning protection and grounding operation and maintenance system for wind turbines based on an Internet of Things platform, aiming to solve the technical problems of the operation and maintenance system mainly relying on manual regular inspections and having many drawbacks.

[0004] In some embodiments of this application, by monitoring the operating conditions and diagnosing faults of the lightning protection and grounding devices of wind turbines, working parameters and corresponding fault diagnosis results are obtained. The monitoring nodes corresponding to the working parameters and operating conditions with suspected faults and faults in the fault diagnosis results are determined, and the target operation and maintenance equipment is determined according to the monitoring nodes. The operation and maintenance influencing factors and corresponding parameters to be operation and maintained of the target operation and maintenance equipment are obtained, and the operation and maintenance parameters are used to perform operation and maintenance operations on the target operation and maintenance equipment in the operation and maintenance order, helping operation and maintenance personnel to complete operation and maintenance work safely, standardly, and efficiently, ensuring the stable and efficient operation of the lightning protection and grounding devices of wind turbines, and solving the technical problems of mainly relying on manual regular inspections, having a large number of lightning protection and grounding devices, and the inspection being time-consuming and laborious.

[0005] In some embodiments of this application, the parameters to be operation and maintained are input into a simulation model to obtain simulation parameters. The operation and maintenance index of the parameters to be operation and maintained is evaluated according to the simulation parameters, the parameters to be operation and maintained are corrected according to the operation and maintenance index, and maintenance is performed according to the corrected parameters to be operation and maintained, making the parameters to be operation and maintained more accurate, greatly improving the operation and maintenance efficiency, and extending the working life of the equipment.

[0006] In some embodiments of this application, the Internet of Things terminal module receives the operating conditions, working parameters, fault diagnosis results, and parameters to be operation and maintained transmitted by the communication sub-module, and generates an operation and maintenance log for the parameters to be operation and maintained for convenient direct use next time, and manages operation and maintenance work timely and conveniently.

[0007] In some embodiments of the present application, a lightning protection and grounding operation and maintenance system for wind turbines based on an Internet of Things platform is provided, including a comprehensive analysis module, a transmission module, and an Internet of Things terminal module;

[0008] The comprehensive analysis module is used to monitor the operating status and diagnose faults of the lightning protection and grounding device of the wind turbine, obtain working parameters and fault diagnosis results, and determine the parameters to be operated and maintained based on the fault diagnosis results;

[0009] The transmission module is used to wirelessly transmit the parameters to be operated and maintained to the Internet of Things terminal module;

[0010] The Internet of Things terminal module is used to receive the parameters to be operated and maintained, input the parameters to be operated and maintained into a simulation model to obtain simulation parameters, evaluate the operation and maintenance index of the parameters to be operated and maintained according to the simulation parameters, correct the parameters to be operated and maintained according to the operation and maintenance index, and perform maintenance according to the corrected parameters to be operated and maintained.

[0011] In some embodiments of the present application, the comprehensive analysis module includes:

[0012] The monitoring sub-module includes a plurality of monitoring nodes, and the monitoring nodes are used to monitor the operating status of the lightning protection and grounding device and the corresponding working parameters in real time;

[0013] The fault diagnosis sub-module is used to diagnose faults of the operating status and the corresponding working parameters to obtain a fault diagnosis result. The fault diagnosis result includes faults, non-faults, and suspected faults. According to the working parameters and operating status corresponding to the suspected faults and faults in the fault diagnosis result, the parameters to be operated and maintained are determined.

[0014] In some embodiments of the present application, the transmission module includes:

[0015] The communication sub-module includes a plurality of wireless communication nodes. The plurality of wireless communication nodes are connected to the plurality of monitoring nodes in an RS485 manner. The communication sub-module is used to receive the operating status, working parameters, fault diagnosis results, and parameters to be operated and maintained;

[0016] The transmission sub-module is used to receive the operating status, working parameters, fault diagnosis results, and parameters to be operated and maintained transmitted by the communication sub-module and transmit them to the Internet of Things terminal module.

[0017] In some embodiments of the present application, diagnosing faults of the operating status and the corresponding working parameters includes:

[0018] Standardize the working parameters corresponding to each operating status, compare the processed working parameters with the corresponding historical working parameters to obtain a comparison result, where the comparison result includes a plurality of working parameter differences W0;

[0019] Compare multiple working parameter differences W0 with a preset working parameter difference Wi to obtain a fault diagnosis result;

[0020] When 0.9∣Wi∣≤∣W0∣≤1.1∣Wi ∣ the fault diagnosis result is non-fault;

[0021] When 0.7∣Wi∣≤∣W0 ∣ <0.9∣Wi ∣ or 1.1Wi< ∣ W0∣≤1.3∣Wi∣, the fault diagnosis result is a suspected fault;

[0022] When ∣ W0 ∣ <0.7∣Wi ∣ or 1.3∣Wi ∣ < ∣ W0 ∣ the fault diagnosis result is a fault.

[0023] In some embodiments of the present application, according to the working parameters and operating conditions corresponding to the suspected faults and faults in the fault diagnosis results, determine the parameters to be maintained and operated, including:

[0024] Determine the corresponding monitoring nodes according to the working parameters and operating conditions corresponding to the suspected faults and faults in the fault diagnosis results, and determine the corresponding target operation and maintenance equipment according to the monitoring nodes;

[0025] Obtain the normal operating conditions and corresponding normal working parameters of the target operation and maintenance equipment when there is no fault. According to the normal operating conditions and corresponding normal working parameters and the working parameters and operating conditions corresponding to the suspected faults and faults, determine the operation and maintenance influencing factors and corresponding parameters to be maintained and operated. Determine the operation and maintenance order of the parameters to be maintained and operated according to the weight values of the operation and maintenance influencing factors, and perform operation and maintenance operations on the target operation and maintenance equipment according to the operation and maintenance order of the parameters to be maintained and operated.

[0026] In some embodiments of the present application, evaluate the operation and maintenance index of the parameters to be maintained and operated according to the simulation parameters, including:

[0027] The simulation parameters include simulated operating conditions and corresponding simulated working parameters. Perform a fault test according to the simulated working parameters to obtain a fault diagnosis result, and divide the fault diagnosis result into a first non-fault set T and a second fault set F. Among them, the first non-fault set F is the result set of the fault diagnosis result being non-fault, and the second fault set is the result set of the fault diagnosis result being suspected fault and fault;

[0028] The operation and maintenance index of the parameter to be maintained and operated is:

[0029]

[0030] Among them, k is the operation and maintenance index of the parameter to be operated and maintained currently, d1 is the total number of non-fault results, Ti is the i-th non-fault result, ri is the weight value corresponding to the i-th non-fault result, d2 is the total number of suspected fault and fault results, Fs is the s-th suspected fault and fault result, qs is the weight value corresponding to the s-th suspected fault and fault result, t is the operation and maintenance duration of the parameter to be operated and maintained currently, p is the duration coefficient corresponding to the current operation and maintenance duration. Among them, i = 1, 2,... d1, s = 1, 2,... d2, and the weight value corresponding to the i-th non-fault result and the weight value corresponding to the s-th suspected fault and fault result are set according to the weight value of the operation and maintenance influencing factors.

[0031] In some embodiments of the present application, correcting the parameter to be operated and maintained according to the operation and maintenance index includes:

[0032] Calculating the difference between the operation and maintenance index of the parameter to be operated and maintained and the preset operation and maintenance index, and selecting the corresponding correction coefficient interval according to the difference to correct the above-mentioned parameter m to be operated and maintained;

[0033] A first preset difference, a second preset difference and a third preset difference are preset in advance, and the first preset difference is less than the second preset difference, and the second preset difference is less than the third preset difference. A first preset correction interval A1, a second preset correction interval A2, a third preset correction interval A3 and a fourth preset correction interval A4 are preset in advance;

[0034] When the difference is less than the first preset difference, select the first preset correction interval A1 to correct the parameter m to be operated and maintained, and the corrected parameter to be operated and maintained is m * A1;

[0035] When the difference is between the first preset difference and the second preset difference, select the second preset correction interval A2 to correct the parameter m to be operated and maintained, and the corrected parameter to be operated and maintained is m * A2;

[0036] When the difference is between the second preset difference and the third preset difference, select the third preset correction interval A3 to correct the parameter m to be operated and maintained, and the corrected parameter to be operated and maintained is m * A3;

[0037] When the difference is greater than the third preset difference, select the fourth preset correction interval A4 to correct the parameter m to be operated and maintained, and the corrected parameter to be operated and maintained is m * A4.

[0038] In some embodiments of the present application, the system further includes:

[0039] A storage module is used to generate an operation and maintenance log based on the fault diagnosis result and the corresponding operation and maintenance parameters to be processed. When the fault diagnosis results are the same, the corresponding operation and maintenance parameters are directly retrieved for maintenance. Among them, the operation and maintenance index of the operation and maintenance parameters to be processed is greater than the preset operation and maintenance index.

[0040] Compared with the prior art, a lightning protection and grounding operation and maintenance system for wind turbines based on an Internet of Things platform according to an embodiment of the present application has the following beneficial effects:

[0041] By monitoring the operation status and fault diagnosis of the lightning protection and grounding device of the wind turbine, the working parameters and the corresponding fault diagnosis results are obtained. The working parameters and the operation status corresponding to the suspected faults and faults in the fault diagnosis results are used to determine the corresponding monitoring nodes. The target operation and maintenance equipment is determined according to the monitoring nodes, and the operation and maintenance influencing factors of the target operation and maintenance equipment and the corresponding operation and maintenance parameters to be processed are obtained. The operation and maintenance parameters are used to perform operation and maintenance operations on the target operation and maintenance equipment in the operation and maintenance order, which helps the operation and maintenance personnel to complete the operation and maintenance work safely, standardly and efficiently, ensures the stable and efficient operation of the lightning protection and grounding device of the wind turbine, and solves the technical problems that mainly rely on manual regular detection, with a large number of lightning protection and grounding devices and time-consuming and laborious inspection.

[0042] The operation and maintenance parameters to be processed are input into a simulation model to obtain simulation parameters. The operation and maintenance index of the operation and maintenance parameters to be processed is evaluated according to the simulation parameters, the operation and maintenance parameters to be processed are corrected according to the operation and maintenance index, and maintenance is performed according to the corrected operation and maintenance parameters to make the operation and maintenance parameters to be processed more accurate, greatly improving the operation and maintenance efficiency and extending the working life of the equipment.

[0043] The Internet of Things terminal module receives the operation status, working parameters, fault diagnosis results, and operation and maintenance parameters to be processed transmitted by the communication sub-module, and generates an operation and maintenance log for the operation and maintenance parameters to be processed for direct use next time, and manages the operation and maintenance work in a timely and convenient manner. Description of the Drawings

[0044] Figure 1 is a schematic diagram of a lightning protection and grounding operation and maintenance system for wind turbines based on an Internet of Things platform in a preferred embodiment of an embodiment of the present application. Detailed Embodiments

[0045] The following further describes in detail the specific embodiments of the present application in conjunction with the drawings and embodiments. The following embodiments are used to illustrate the present application, but are not used to limit the scope of the present application.

[0046] In the description of the present application, it should be understood that the orientation or positional relationship indicated by terms such as "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present application.

[0047] The terms "first" and "second" are only used for descriptive purposes and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise stated, the meaning of "a plurality" is two or more.

[0048] In the description of the present application, it should be noted that unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances.

[0049] As Figure 1 shown, a lightning protection grounding operation and maintenance system for a wind turbine based on an Internet of Things platform in a preferred embodiment of an embodiment of the present application includes an integrated analysis module, a transmission module, and an Internet of Things terminal module;

[0050] The integrated analysis module is used to monitor the operating status and diagnose faults of the lightning protection grounding device of the wind turbine, obtain working parameters and fault diagnosis results, and determine the parameters to be operated and maintained based on the fault diagnosis results;

[0051] The transmission module is used to wirelessly transmit the parameters to be operated and maintained to the Internet of Things terminal module;

[0052] The Internet of Things terminal module is used to receive the parameters to be operated and maintained, input the parameters to be operated and maintained into a simulation model to obtain simulation parameters, evaluate the operation and maintenance index of the parameters to be operated and maintained according to the simulation parameters, correct the parameters to be operated and maintained according to the operation and maintenance index, and perform maintenance according to the corrected parameters to be operated and maintained.

[0053] In this embodiment, fault diagnosis is performed according to working parameters to obtain a fault diagnosis result. The fault diagnosis result includes non-fault, suspected fault, and fault. The operation and maintenance parameters to be determined are determined according to the working parameters corresponding to the suspected fault and the fault. The simulation model is a simulation model of the lightning protection grounding device of the wind turbine. The operation and maintenance parameters to be determined are input into the simulation model to obtain simulation parameters. The operation and maintenance index is calculated according to the simulation parameters. Whether to correct the operation and maintenance parameters to be determined is judged according to the operation and maintenance index, which solves the problems of the operation and maintenance system mainly based on manual regular detection, which is time-consuming and laborious and reduces the working life of the equipment, greatly improves the operation and maintenance efficiency, and ensures the stable and efficient operation of the lightning protection grounding device of the wind turbine.

[0054] In some embodiments of the present application, the comprehensive analysis module includes:

[0055] A monitoring sub-module, including a plurality of monitoring nodes, where the monitoring nodes are used to monitor the operation status of the lightning protection grounding device and the corresponding working parameters in real time;

[0056] A fault diagnosis sub-module, which is used to perform fault diagnosis on the operation status and the corresponding working parameters to obtain a fault diagnosis result. The fault diagnosis result includes fault, non-fault, and suspected fault. The operation and maintenance parameters to be determined are determined according to the working parameters corresponding to the suspected fault and the fault and the operation status.

[0057] In this embodiment, the operation status of the lightning protection grounding device includes the opening and closing status of the SPD backup protector, the aging status of the surge protector, the contact status of the disconnecting link, the connection status of the down conductor, and the grounding resistance monitoring status, etc.

[0058] In some embodiments of the present application, the transmission module includes:

[0059] A communication sub-module, including a plurality of wireless communication nodes. The plurality of wireless communication nodes are connected to the plurality of monitoring nodes in an RS485 manner. The communication sub-module is used to receive the operation status, working parameters, fault diagnosis result, and the operation and maintenance parameters to be determined;

[0060] A transmission sub-module, which is used to receive the operation status, working parameters, fault diagnosis result, and the operation and maintenance parameters to be determined transmitted by the communication sub-module and transmit them to the Internet of Things terminal module.

[0061] In this embodiment, a networking method is adopted which combines LoRa wireless networking, an Internet of Things intelligent terminal module, and an APN private network traffic card. Each monitoring device is equipped with a LoRa wireless communication node (terminal node) and is connected via the RS485 method. An Internet of Things intelligent terminal is installed near a wind turbine with 2G - 4G signal coverage, and it is also equipped with a LoRa transmission sub - module (central node). The central node LoRa receives data transmitted from terminal nodes within a 10 - kilometer radius nearby and then transmits the data to the Internet of Things intelligent terminal module. The Internet of Things intelligent terminal module transmits the data to the data center via the APN private network.

[0062] In some embodiments of the present application, fault diagnosis of the operating conditions and corresponding working parameters includes:

[0063] Standardize the working parameters corresponding to each operating condition, compare the processed working parameters with the corresponding historical working parameters to obtain a comparison result, where the comparison result includes multiple working - parameter differences W0;

[0064] Compare the multiple working - parameter differences W0 with a preset working - parameter difference Wi to obtain a fault - diagnosis result;

[0065] When 0.9∣Wi∣≤∣W0∣≤1.1∣Wi ∣ the fault - diagnosis result is non - fault;

[0066] When 0.7∣Wi∣≤∣W0 ∣ <0.9∣Wi ∣ or 1.1Wi< ∣ W0∣≤1.3∣Wi∣, the fault - diagnosis result is a suspected fault;

[0067] When ∣ W0 ∣ <0.7∣Wi ∣ or 1.3∣Wi ∣ < ∣ W0 ∣ the fault - diagnosis result is a fault.

[0068] In this embodiment, the historical working parameters are the working parameters during historical normal operation. The preset working difference is the mean value obtained by taking the difference between normal operation parameters, and the normal working - difference interval is set as (0.9Wi, 1.1Wi). By taking the difference between the current working parameters and the working parameters during normal operation to obtain the working - parameter difference, and judging the current fault - diagnosis result based on the relationship between the working - parameter difference and the preset working difference, the accuracy of the fault - diagnosis result is improved.

[0069] In some embodiments of the present application, determining the parameters to be maintained based on the suspected fault and the operating parameters and operating status corresponding to the fault as a result of the fault diagnosis includes:

[0070] Determine the corresponding monitoring node based on the fault diagnosis result as a suspected fault and the working parameters and operating status corresponding to the fault, and determine the corresponding target operation and maintenance equipment based on the monitoring node;

[0071] Obtain the normal operating status and corresponding normal operating parameters of the target operation and maintenance equipment when it is not faulty, determine the operation and maintenance influencing factors and the corresponding parameters to be operated and maintained based on the normal operating status and the corresponding normal operating parameters and the working parameters and operating status corresponding to the suspected fault and the fault, determine the operation and maintenance order of the parameters to be operated and maintained according to the weight values of the operation and maintenance influencing factors, and perform operation and maintenance operations on the target operation and maintenance equipment with the parameters to be operated and maintained according to the operation and maintenance order.

[0072] In this embodiment, the operation and maintenance influencing factors determine the relevant factors based on the normal operating conditions and the corresponding normal operating parameters and the working parameters and operating conditions corresponding to the suspected faults and faults, and determine the operation and maintenance influencing factors and the weight values of the operation and maintenance influencing factors based on the influence weight values of the relevant factors. The operation and maintenance parameters to be operated and maintained are performed on the target operation and maintenance equipment in the operation and maintenance order. The parameters to be operated and maintained are first determined based on the operation and maintenance influencing factors with greater influence and operation and maintenance are performed, thereby avoiding causing chain failures, greatly improving the operation and maintenance efficiency, and eliminating the need for manual regular monitoring, which greatly saves unnecessary operation and maintenance time and human resources.

[0073] In some embodiments of the present application, evaluating the operation and maintenance index of the parameter to be operated and maintained according to the simulation parameter includes:

[0074] The simulation parameters include a simulated operating condition and corresponding simulated operating parameters, a fault test is performed according to the simulated operating parameters to obtain a fault diagnosis result, and the fault diagnosis result is divided into a first non-fault set T and a second fault set F, wherein the first non-fault set F is a result set of fault diagnosis results showing non-faults, and the second fault set is a result set of fault diagnosis results showing suspected faults and faults;

[0075] The operation and maintenance index of the parameter to be operated and maintained is:

[0076]

[0077] Wherein, k is the operation and maintenance index of the parameter to be operated and maintained currently, d1 is the total number of non-fault results, Ti is the i-th non-fault result, ri is the weight value corresponding to the i-th non-fault result, d2 is the total number of suspected fault and fault results, Fs is the s-th suspected fault and fault result, qs is the weight value corresponding to the s-th suspected fault and fault result, t is the operation and maintenance duration of the parameter to be operated and maintained currently, p is the duration coefficient corresponding to the current operation and maintenance duration, wherein, i = 1, 2,... d1, s = 1, 2,... d2, and the weight value corresponding to the i-th non-fault result and the weight value corresponding to the s-th suspected fault and fault result are set according to the weight values of the operation and maintenance influencing factors.

[0078] In some embodiments of the present application, correcting the parameter to be operated and maintained according to the operation and maintenance index includes:

[0079] Calculating the difference between the operation and maintenance index of the parameter to be operated and maintained and the preset operation and maintenance index, and selecting the corresponding correction coefficient interval according to the difference to correct the above-mentioned parameter m to be operated and maintained;

[0080] A first preset difference, a second preset difference, and a third preset difference are preset in advance, and the first preset difference is less than the second preset difference, and the second preset difference is less than the third preset difference. A first preset correction interval A1, a second preset correction interval A2, a third preset correction interval A3, and a fourth preset correction interval A4 are preset in advance;

[0081] When the difference is less than the first preset difference, select the first preset correction interval A1 to correct the parameter m to be operated and maintained, and the corrected parameter to be operated and maintained is m * A1;

[0082] When the difference is between the first preset difference and the second preset difference, select the second preset correction interval A2 to correct the parameter m to be operated and maintained, and the corrected parameter to be operated and maintained is m * A2;

[0083] When the difference is between the second preset difference and the third preset difference, select the third preset correction interval A3 to correct the parameter m to be operated and maintained, and the corrected parameter to be operated and maintained is m * A3;

[0084] When the difference is greater than the third preset difference, select the fourth preset correction interval A4 to correct the parameter m to be operated and maintained, and the corrected parameter to be operated and maintained is m * A4.

[0085] In this embodiment, the preset operation and maintenance index is the average value of multiple operation and maintenance indexes corresponding to the operation and maintenance of the target operation and maintenance equipment based on multiple historical operation and maintenance parameters and the fault diagnosis result is non-fault. The first preset correction interval is (0.9, 1.1), the second preset correction interval is (0.8, 0.9) and (1.1, 1.2), the third preset correction interval is (0.6, 0.8) and (1.2, 1.4), and the fourth preset correction interval is (0.5, 0.6) and (1.4, 1.5). According to the difference between the operation and maintenance index and the preset operation and maintenance index, the corresponding correction interval is selected to correct the operation and maintenance parameters, so that the operation and maintenance parameters are more accurate, thereby greatly improving the operation and maintenance efficiency.

[0086] In some embodiments of the present application, Figure 1 As shown, the system also includes:

[0087] The storage module is used to generate an operation and maintenance log based on the fault diagnosis results and the corresponding parameters to be operated and maintained. When the fault diagnosis results are the same, the corresponding operation and maintenance parameters are directly called for maintenance, wherein the operation and maintenance index of the parameters to be operated and maintained is greater than the preset operation and maintenance index.

[0088] In summary, the present invention discloses a wind turbine lightning protection and grounding operation and maintenance system based on the Internet of Things platform, including: a comprehensive analysis module, used to monitor the operating status and fault diagnosis of the wind turbine lightning protection and grounding device, obtain working parameters and fault diagnosis results, and determine the parameters to be operated and maintained based on the fault diagnosis results; a transmission module, used to wirelessly transmit the parameters to be operated and maintained to the Internet of Things terminal module; the Internet of Things terminal module is used to receive the parameters to be operated and maintained, input the parameters to be operated and maintained into a simulation model to obtain simulation parameters, evaluate the operation and maintenance index of the parameters to be operated and maintained according to the simulation parameters, correct the parameters to be operated and maintained according to the operation and maintenance index, and perform maintenance according to the corrected parameters to be operated and maintained.

[0089] According to the first concept of the present application, by monitoring the operating status and diagnosing the faults of the lightning protection and grounding device of the wind turbine, the working parameters and the corresponding fault diagnosis results are obtained, the fault diagnosis results are used to determine the corresponding monitoring nodes for the suspected faults and the working parameters and operating status corresponding to the faults, the target operation and maintenance equipment is determined according to the monitoring nodes, the operation and maintenance influencing factors of the target operation and maintenance equipment and the corresponding parameters to be operated and maintained are obtained, and the parameters to be operated and maintained are used for the operation and maintenance operations of the target operation and maintenance equipment in the operation and maintenance order, so as to help the operation and maintenance personnel to complete the operation and maintenance work safely, standardizedly and efficiently, ensure the stable and efficient operation of the lightning protection and grounding device of the wind turbine, and solve the technical problems of mainly relying on manual timed detection, a large number of lightning protection and grounding equipment, and time-consuming and labor-intensive inspections.

[0090] According to the second concept of the present application, the parameter to be operated and maintained is input into the simulation model to obtain simulation parameters. The operation and maintenance index of the parameter to be operated and maintained is evaluated according to the simulation parameters. The parameter to be operated and maintained is corrected according to the operation and maintenance index, and maintenance is carried out according to the corrected parameter to be operated and maintained, making the parameter to be operated and maintained more accurate, greatly improving the operation and maintenance efficiency, and prolonging the working life of the equipment.

[0091] According to the third concept of the present application, the Internet of Things terminal module receives the operating status, working parameters, fault diagnosis results, and the parameter to be operated and maintained transmitted by the communication sub-module, and generates an operation and maintenance log for the parameter to be operated and maintained for direct use next time, facilitating the timely and convenient management of operation and maintenance work.

[0092] The above are only the preferred embodiments of the present application. It should be noted that for those of ordinary skill in the art of the present technology, without departing from the technical principle of the present application, several improvements and replacements can still be made, and these improvements and replacements should also be regarded as the protection scope of the present application.

Claims

1. A lightning protection grounding operation and maintenance system for wind turbines based on the Internet of Things platform, characterized in that It includes a comprehensive analysis module, a transmission module, and an Internet of Things terminal module; The comprehensive analysis module is used to monitor the operating status and diagnose faults of the lightning protection and grounding device of the wind turbine, obtain working parameters and fault diagnosis results, and determine the parameters to be operated and maintained based on the fault diagnosis results; The transmission module is used to wirelessly transmit the parameters to be operated and maintained to the Internet of Things terminal module; The Internet of Things terminal module is used to receive the parameters to be operated and maintained, input the parameters to be operated and maintained into the simulation model to obtain simulation parameters, evaluate the operation and maintenance index of the parameters to be operated and maintained according to the simulation parameters, correct the parameters to be operated and maintained according to the operation and maintenance index, and perform maintenance according to the corrected parameters to be operated and maintained; Evaluating the operation and maintenance index of the parameters to be operated and maintained according to the simulation parameters includes: The simulation parameters include the simulated operating status and the corresponding simulated working parameters. Fault tests are performed according to the simulated working parameters to obtain fault diagnosis results. The fault diagnosis results are divided into a first non-fault set T and a second fault set F. Among them, the first non-fault set F is the result set of non-fault fault diagnosis results, and the second fault set is the result set of suspected faults and faults in the fault diagnosis results; The operation and maintenance index of the parameters to be operated and maintained is: ； Where k is the operation and maintenance index of the current parameter to be operated and maintained, d1 is the total number of non-fault results, Ti is the i-th non-fault result, ri is the weight value corresponding to the i-th non-fault result, d2 is the total number of suspected faults and fault results, Fs is the s-th suspected fault and fault result, qs is the weight value corresponding to the s-th suspected fault and fault result, t is the operation and maintenance duration of the current parameter to be operated and maintained, p is the duration coefficient corresponding to the current operation and maintenance duration, where i = 1, 2,... d1, s = 1, 2,... d2, and the weight value corresponding to the i-th non-fault result and the weight value corresponding to the s-th suspected fault and fault result are set according to the weight values of the operation and maintenance influencing factors; Correcting the parameters to be operated and maintained according to the operation and maintenance index includes: Calculate the difference between the operation and maintenance index of the parameters to be operated and maintained and the preset operation and maintenance index, and select the corresponding correction coefficient interval according to the difference to correct the above-mentioned parameters to be operated and maintained m; A first preset difference, a second preset difference, and a third preset difference are preset in advance, and the first preset difference is less than the second preset difference, and the second preset difference is less than the third preset difference. A first preset correction interval A1, a second preset correction interval A2, a third preset correction interval A3, and a fourth preset correction interval A4 are preset in advance; When the difference is less than the first preset difference, select the first preset correction interval A1 to correct the parameter to be operated and maintained m, and the corrected parameter to be operated and maintained is m*A1; When the difference is between the first preset difference and the second preset difference, select the second preset correction interval A2 to correct the parameter to be operated and maintained m, and the corrected parameter to be operated and maintained is m*A2; When the difference is between the second preset difference and the third preset difference, select the third preset correction interval A3 to correct the parameter to be operated and maintained m, and the corrected parameter to be operated and maintained is m*A3; When the difference is greater than the third preset difference, select the fourth preset correction interval A4 to correct the parameter m to be operated and maintained, and the parameter m to be operated and maintained after correction is m*A4.

2. The lightning protection grounding operation and maintenance system for wind turbine units based on the Internet of Things platform according to claim 1, characterized in that, The comprehensive analysis module includes: A monitoring sub-module, including a plurality of monitoring nodes, and the monitoring nodes are used to monitor the operating conditions of the lightning protection grounding device and the corresponding working parameters in real time; A fault diagnosis sub-module, which is used to perform fault diagnosis on the operating conditions and the corresponding working parameters to obtain a fault diagnosis result. The fault diagnosis result includes faults, non-faults and suspected faults. According to the fault diagnosis result, the working parameters and operating conditions corresponding to the suspected faults and faults, determine the parameter to be operated and maintained.

3. The lightning protection grounding operation and maintenance system for wind turbines based on the Internet of Things platform according to claim 2, wherein The transmission module includes: A communication sub-module, including a plurality of wireless communication nodes. The plurality of wireless communication nodes are connected to the plurality of monitoring nodes in an RS485 manner. The communication sub-module is used to receive the operating conditions, working parameters, fault diagnosis results and parameters to be operated and maintained; A transmission sub-module, which is used to receive the operating conditions, working parameters, fault diagnosis results and parameters to be operated and maintained transmitted by the communication sub-module and transmit them to the Internet of Things terminal module.

4. The lightning protection grounding operation and maintenance system for wind turbines based on the Internet of Things platform according to claim 2, wherein Performing fault diagnosis on the operating conditions and the corresponding working parameters includes: Standardize the working parameters corresponding to each operating condition, and compare the processed working parameters with the corresponding historical working parameters to obtain a comparison result. Among them, the comparison result includes a plurality of working parameter differences W0; Compare the plurality of working parameter differences W0 with the preset working parameter difference Wi to obtain a fault diagnosis result; When 0.9∣Wi∣≤∣W0∣≤1.1∣Wi∣, the fault diagnosis result is non-fault; When 0.7∣Wi∣≤∣W0∣<0.9∣Wi∣ or 1.1Wi<∣W0∣≤1.3∣Wi∣, the fault diagnosis result is a suspected fault; When ∣W0∣<0.7∣Wi∣ or 1.3∣Wi∣<∣W0∣, the fault diagnosis result is a fault.

5. The lightning protection grounding operation and maintenance system for wind turbines based on the Internet of Things platform according to claim 4, wherein Determining the parameter to be operated and maintained according to the fault diagnosis result, the working parameters and operating conditions corresponding to the suspected faults and faults includes: Determine the corresponding monitoring nodes for the working parameters and operating conditions corresponding to the suspected faults and faults in the fault diagnosis result, and determine the corresponding target operation and maintenance equipment according to the monitoring nodes; Obtain the normal operating conditions and the corresponding normal working parameters of the target operation and maintenance equipment when there is no fault. According to the normal operating conditions and the corresponding normal working parameters, the working parameters and operating conditions corresponding to the suspected faults and faults, determine the operation and maintenance influencing factors and the corresponding parameters to be operated and maintained. According to the weight values of the operation and maintenance influencing factors, determine the operation and maintenance order of the parameters to be operated and maintained, and perform operation and maintenance operations on the target operation and maintenance equipment according to the operation and maintenance order of the parameters to be operated and maintained.

6. The lightning protection grounding operation and maintenance system for wind turbines based on the Internet of Things platform according to claim 1, wherein It also includes: A storage module, which is used to generate an operation and maintenance log according to the fault diagnosis result and the corresponding parameter to be operated and maintained. When the fault diagnosis results are the same, directly retrieve the corresponding operation and maintenance parameters for maintenance, where the operation and maintenance index of the parameter to be operated and maintained is greater than the preset operation and maintenance index.

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