Wind power equipment coating corrosion state monitoring method, device, equipment, storage medium and program product

Abstract

The invention discloses a wind power equipment coating corrosion state monitoring method and device, equipment, a storage medium and a program product, and relates to the technical field of wind power generation, and the wind power equipment coating corrosion state monitoring method comprises the steps: obtaining equipment parameters of offshore wind power equipment and environment parameters collected by a sensor on the offshore wind power equipment; based on the equipment parameters and the environment parameters, establishing a digital twinborn model corresponding to the offshore wind power equipment; according to the digital twinborn model, the change condition of the coating state of the offshore wind power equipment is simulated, predicted coating state parameters are output, and the predicted coating state parameters at least comprise the coating corrosion state and the coating thickness of the offshore wind power equipment at the current time point. The technical problems that an existing wind power equipment coating corrosion state monitoring scheme is greatly limited by the environment, the workload is high, and the detection cost is high are solved.

Description

Technical Field

[0001] The present application relates to the technical field of wind power generation, and in particular to a method, device, equipment, computer-readable storage medium and computer program product for monitoring the corrosion status of a coating on wind power equipment. Background Art

[0002] With the rapid development of offshore wind power technology, the anti-corrosion problem of offshore wind power equipment has also become a key research issue. In order to prevent the corrosion of offshore wind power equipment from affecting the normal operation of the equipment, it is usually adopted to cover the surface of the equipment with a coating with high physical and chemical stability to protect the important structure of the equipment. However, since the equipment is exposed to seawater and the high humidity and high salinity environment at sea for a long time, the coating will also corrode to a certain extent. Therefore, it is necessary to effectively monitor the corrosion status of the coating of wind power equipment so as to repair the coating that is too severely corroded in time to ensure the normal operation of wind power equipment.

[0003] At present, the corrosion risk assessment method of the coating of offshore wind power equipment is usually to detect the coating on the surface of the equipment through manual or automatic detection equipment to obtain the corresponding coating status data. However, this detection method requires on-site detection. Due to environmental restrictions, the status of the wind power equipment coating cannot be detected frequently. In addition, a comprehensive detection process of the outer surface coating of offshore wind power equipment requires a large cost of manpower and material resources, and the workload is large.

[0004] The above information disclosed in this Background section is only for understanding the background of the present application concept and therefore it may contain information that does not constitute prior art. Summary of the invention

[0005] The main purpose of this application is to provide a method, device, equipment, computer-readable storage medium and computer program product for monitoring the corrosion status of wind power equipment coating, aiming to solve the technical problems that the current wind power equipment coating corrosion status monitoring scheme is subject to large environmental restrictions, high workload and high detection cost.

[0006] To achieve the above-mentioned purpose, the present application provides a method for monitoring the corrosion state of a wind power equipment coating, which is applied to a cloud device, wherein the cloud device is communicatively connected to an offshore wind power equipment, and the method for monitoring the corrosion state of a wind power equipment coating comprises: Acquiring equipment parameters of an offshore wind power equipment and environmental parameters collected by sensors on the offshore wind power equipment; Based on the equipment parameters and the environmental parameters, establishing a digital twin model corresponding to the offshore wind power equipment; According to the digital twin model, the change of the coating state of the offshore wind power equipment is simulated, and the predicted coating state parameters are output, wherein the predicted coating state parameters at least include the coating corrosion state and coating thickness of the offshore wind power equipment at the current time point.

[0007] In one embodiment, the device parameters include at least device size and structure parameters and coating parameters; The step of establishing a digital twin model corresponding to the offshore wind power equipment based on the equipment parameters and the environmental parameters includes: Based on the equipment size and structure parameters of the offshore wind power equipment, three-dimensional modeling is performed on the offshore wind power equipment to obtain a corresponding three-dimensional model; According to the coating parameters of the offshore wind power equipment, the three-dimensional model is updated to obtain a device simulation model carrying the coating parameters; Based on the environmental parameters, the influence mapping relationship between the environmental parameters and the coating state, and the preset environmental parameter change function, the change of the coating state in the equipment simulation model is simulated to obtain a digital twin model corresponding to the offshore wind power equipment, wherein the environmental parameters include at least water level parameters, water quality parameters, temperature parameters and humidity parameters.

[0008] In one embodiment, the step of simulating the change of the coating state of the offshore wind power equipment according to the digital twin model includes: At every preset state update cycle, the real-time environmental parameter is calculated based on the environmental parameter and the change function of the environmental parameter; Obtaining current coating state parameters corresponding to the digital twin model, wherein the coating state parameters at least include coating corrosion state and coating thickness; According to the real-time environmental parameters and the influence mapping relationship between the environmental parameters and the coating state, the current coating state parameters are updated to obtain the predicted coating state parameters at the current time point.

[0009] In one embodiment, the predicted coating state parameters also include the coating corrosion state and coating thickness within a future preset time period; After updating the current coating state parameter according to the real-time environmental parameter and the influence mapping relationship between the environmental parameter and the coating state to obtain the predicted coating state parameter at the current time point, the method further includes: Calculate predicted environmental parameters corresponding to multiple time points in a future preset time period according to the real-time environmental parameter, the environmental parameter and the change function of the environmental parameter; According to the predicted environmental parameters and the influence mapping relationship between the environmental parameters and the coating state, the predicted coating state parameters are iteratively updated to obtain the predicted coating state parameters corresponding to each time point in a future preset time period.

[0010] In one embodiment, after the step of establishing a digital twin model corresponding to the offshore wind power equipment based on the equipment parameters and the environmental parameters, the method further includes: Based on a preset model update cycle, collecting current real coating parameters of the offshore wind power equipment; According to the real coating parameters of the offshore wind power equipment, the current coating state corresponding to the digital twin model is updated to obtain an updated digital twin model.

[0011] In one embodiment, after the step of simulating the change of the coating state of the offshore wind power equipment according to the digital twin model and outputting the predicted coating state parameters, the method further includes: Determining the corrosion risk level corresponding to the offshore wind power equipment according to the predicted coating state parameters and the preset coating corrosion state classification rules, wherein the corrosion risk level is one of low, medium and high; The maintenance strategy corresponding to the corrosion risk level is queried in a preset equipment maintenance knowledge base, wherein when the corrosion risk level is medium, the corresponding maintenance strategy includes repairing the coating of the offshore wind power equipment according to a preset maintenance cycle; when the corrosion risk level is high, the corresponding maintenance strategy includes stopping operation and comprehensively repairing the coating of the offshore wind power equipment; The maintenance strategy corresponding to the corrosion risk level and the corrosion risk level are pushed to the mobile terminal or management account corresponding to the staff associated with the offshore wind power equipment.

[0012] In addition, the present application also provides a wind power equipment coating corrosion state monitoring device, the wind power equipment coating corrosion state monitoring device comprising: A parameter acquisition module, used to acquire equipment parameters of offshore wind power equipment and environmental parameters collected by sensors on the offshore wind power equipment; A model building module, used to establish a digital twin model corresponding to the offshore wind power equipment based on the equipment parameters and the environmental parameters; A state prediction module is used to simulate the changes in the coating state of the offshore wind power equipment according to the digital twin model, and output predicted coating state parameters, wherein the predicted coating state parameters at least include the coating corrosion state and coating thickness of the offshore wind power equipment at the current time point.

[0013] In addition, the present application also provides an electronic device, which includes at least: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the computer program is configured to implement the steps of the method for monitoring the corrosion status of a wind power equipment coating applied to a water heater as described above.

[0014] In addition, to achieve the above-mentioned purpose, the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the wind power equipment coating corrosion status monitoring method as described above are implemented.

[0015] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for monitoring the corrosion status of a coating of a wind power equipment.

[0016] The present application provides a method for monitoring the corrosion state of coating of wind power equipment, which is applied to a cloud device, and the cloud device is communicatively connected to the offshore wind power equipment. The method for monitoring the corrosion state of coating of wind power equipment includes: obtaining equipment parameters of the offshore wind power equipment and environmental parameters collected by sensors on the offshore wind power equipment, and then establishing a digital twin model corresponding to the offshore wind power equipment based on the equipment parameters and the environmental parameters. In the technical solution of the present application, a digital twin model of the wind power equipment is established on the cloud device to simulate the changes in the coating of the wind power equipment. Therefore, when it is necessary to obtain the coating state of the offshore wind power equipment, there is no need to conduct on-site inspection, which overcomes environmental limitations. Finally, according to the digital twin model, the changes in the coating state of the offshore wind power equipment are simulated, and predicted coating state parameters are output, wherein the predicted coating state parameters include at least the coating corrosion state and coating thickness of the offshore wind power equipment at the current time point. The technical solution of the present application utilizes the environmental parameters collected by the communication transmission sensors between the cloud device and the offshore wind power equipment to comprehensively simulate the changes in the coating status of the offshore wind power equipment on the cloud device side. Moreover, since the digital twin model is deployed on the cloud device and utilizes the huge computing power of the cloud device, the offshore wind power equipment side only needs to collect the corresponding equipment parameters and environmental parameters to realize real-time monitoring of the coating of the wind power equipment. Compared with the on-site detection method of the coating status of the offshore wind power equipment, it effectively reduces the workload and manpower and material costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 This is a flow chart of an embodiment of a method for monitoring the corrosion status of a coating of wind power equipment in an embodiment of the present application; Figure 2 A schematic diagram of a process for constructing a digital twin model of an offshore wind power equipment in an embodiment of the present application; Figure 3 A schematic diagram of a process for grading the corrosion state of a coating, determining and pushing a corresponding maintenance strategy in an embodiment of the present application; Figure 4 This is a schematic diagram of the composition structure of a wind power equipment coating corrosion status monitoring device in an embodiment of the present application; Figure 5 Schematic diagram of the equipment structure of the hardware operating environment of the electronic equipment involved in the wind power equipment coating corrosion status monitoring method in the embodiment of the present application.

[0020] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0021] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work belong to the scope of protection of this application.

[0022] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0023] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0024] The embodiment of the present application provides a method for monitoring the corrosion state of a wind power equipment coating applied to a cloud device, wherein the cloud device is connected to the offshore wind power equipment for communication, and the method includes: Figure 1 , Figure 1 This is a flow chart of an embodiment of a method for monitoring the corrosion status of a wind power equipment coating of the present application. The method for monitoring the corrosion status of a wind power equipment coating comprises: Step S10, obtaining equipment parameters of the offshore wind power equipment and environmental parameters collected by sensors on the offshore wind power equipment; First of all, it should be noted that the method for monitoring the coating corrosion status of wind power equipment in an embodiment of the present application is applied to a cloud device, which may be a remote server computer that has established a communication connection with the offshore wind power equipment, and has large computing power resources, which can be used to deploy a digital twin model corresponding to the offshore wind power equipment to simulate changes in the coating status of the offshore wind power equipment.

[0025] Among them, the cloud device establishes a communication connection with the communication module on the offshore wind power equipment. When it is necessary to obtain the equipment parameters of the offshore wind power equipment and the environmental parameters collected by the sensors on the offshore wind power equipment, the corresponding data request instruction can be sent to the offshore wind power equipment. After receiving the data request instruction, the communication module of the offshore wind power equipment forwards it to the main control module, and the main control module controls the sensors on the offshore wind power equipment to collect the corresponding environmental parameters. In addition, the equipment parameters of the offshore wind power equipment include the relevant hardware parameters of the equipment itself, including size, structural characteristics, etc., which are fixed after leaving the factory. Therefore, the cloud device can obtain these hardware parameters from the relevant knowledge base according to the equipment model of the offshore wind power equipment, or it can be collected from the offshore wind power equipment. The equipment parameters can also include parameters related to the coating on the surface of the offshore wind power equipment, such as the material and thickness of the coating, which can also be directly obtained or obtained from the offshore wind power equipment.

[0026] In addition, the environmental parameters include environmental factors that affect the state of the coating of the offshore wind power equipment, such as temperature, humidity, water temperature, salinity of the water body, etc.

[0027] Step S20, establishing a digital twin model corresponding to the offshore wind power equipment based on the equipment parameters and the environmental parameters; After determining the equipment parameters and environmental parameters of the offshore wind power equipment, a digital twin model corresponding to the offshore wind power equipment can be established on the cloud device. Specifically, digital twin technology refers to the precise simulation of equipment, systems or processes in the physical world through digital means to create a virtual model that completely corresponds to it. This technology makes comprehensive use of sensors, the Internet of Things, virtual reality, artificial intelligence and other technologies, and can describe and model the characteristics, behaviors, operating processes and performance of physical objects in the real world. When digital twin technology is applied in the technical solution of the embodiment of the present application, the digital twin model can be used to simulate the changes in the coating of offshore wind power equipment in the environment, so that the staff can monitor and predict the status of the coating of the offshore wind power equipment in time, and make reasonable maintenance measures in advance to ensure the normal operation of the offshore wind power equipment.

[0028] Step S30, simulating the change of the coating state of the offshore wind power equipment according to the digital twin model, and outputting the predicted coating state parameters, wherein the predicted coating state parameters at least include the coating corrosion state and coating thickness of the offshore wind power equipment at the current time point.

[0029] After the digital twin model is determined, the coating state of the offshore wind power equipment can be simulated over time, so as to predict and output the corresponding predicted coating state parameters, including the coating corrosion state of the offshore wind power equipment at the current time point (such as the oxide layer, salt deposits or biological attachments produced after the coating is corroded) and coating thickness, etc. Among them, the changes in environmental parameters need to be considered in simulating the changes in the coating state of offshore wind power equipment, which are important factors affecting the changes in the coating state.

[0030] For example, the changes in environmental parameters can be collected in real time by sensors of offshore wind power equipment and transmitted back to the digital twin model of cloud devices to simulate the impact of environmental changes on the coating state; on the other hand, the changes in environmental parameters within a period of time (such as within a year) can be simulated by a pre-set environmental change function, and real-time environmental parameters can be generated and input into the digital twin model to simulate the impact of environmental changes on the coating state, wherein the environmental change function is obtained by fitting the relevant data of a large number of historical environmental parameters, and can relatively accurately simulate the changes in environmental parameters within a period of time. In the above two methods, the method of directly collecting environmental parameters can obtain more accurate environmental parameters to obtain more accurate predicted coating state parameters, but it requires frequent data transmission between cloud devices and offshore wind power equipment, and the communication overhead is large; while the method of simulating changes in environmental conditions through environmental change functions can simulate and predict coating state parameters only with cloud devices, and the requirements for data communication are low, but it will result in relatively low accuracy of the predicted coating state parameters obtained in the final prediction. In actual application scenarios, one or two solutions can be selected according to actual conditions. For example, the first solution is used when the coating corrosion status monitoring accuracy is required to be high, and the second solution is used when the coating corrosion status monitoring accuracy is required to be low, so as to save resources. Alternatively, the second solution is used in the early stage when the corrosion risk of the coating status of the offshore wind power equipment is low, and the first solution is used in the later stage when the corrosion risk of the coating status of the offshore wind power equipment is high to improve the monitoring accuracy.

[0031] The embodiment of the present application provides a method for monitoring the corrosion status of coating of wind power equipment, which is applied to a cloud device, and the cloud device is communicatively connected to the offshore wind power equipment. The method for monitoring the corrosion status of coating of wind power equipment includes: obtaining equipment parameters of the offshore wind power equipment and environmental parameters collected by sensors on the offshore wind power equipment, and then establishing a digital twin model corresponding to the offshore wind power equipment based on the equipment parameters and the environmental parameters. In the technical solution of the embodiment of the present application, a digital twin model of the wind power equipment is established on the cloud device to simulate the changes in the coating of the wind power equipment. Therefore, when it is necessary to obtain the coating status of the offshore wind power equipment, no on-site inspection is required, which overcomes the environmental limitations. According to the digital twin model, the coating status of the offshore wind power equipment is simulated. The coating status parameters are output according to the changes in the coating status, wherein the predicted coating status parameters include at least the coating corrosion status and coating thickness of the offshore wind power equipment at the current time point. The technical solution of the embodiment of the present application utilizes the environmental parameters collected by the communication transmission sensor between the cloud device and the offshore wind power equipment to fully simulate the changes in the coating status of the offshore wind power equipment on the cloud device side. Moreover, since the digital twin model is deployed on the cloud device and the huge computing power of the cloud device is utilized, the offshore wind power equipment side only needs to collect the corresponding equipment parameters and environmental parameters to realize real-time monitoring of the coating of the wind power equipment. Compared with the on-site detection method of the coating status of the offshore wind power equipment, the workload and manpower and material costs are effectively reduced.

[0032] Further, in a feasible embodiment, the equipment parameters at least include equipment size and structure parameters and coating parameters; Reference Figure 2 The step of establishing a digital twin model corresponding to the offshore wind power equipment based on the equipment parameters and the environmental parameters may include: Step S21, based on the equipment size and structure parameters of the offshore wind power equipment, three-dimensional modeling of the offshore wind power equipment is performed to obtain a corresponding three-dimensional model; Step S22, updating the three-dimensional model according to the coating parameters of the offshore wind power equipment to obtain a device simulation model carrying the coating parameters; Step S23, based on the environmental parameters, the influence mapping relationship between the environmental parameters and the coating state, and the preset environmental parameter change function, simulate the change of the coating state in the equipment simulation model to obtain the digital twin model corresponding to the offshore wind power equipment, wherein the environmental parameters include at least water level parameters, water quality parameters, temperature parameters and humidity parameters.

[0033] The embodiment of the present application provides a method for constructing a digital twin model corresponding to an offshore wind power device. It should be noted that the digital twin model is not used to simulate the operating state of the offshore wind power device, but is used to simulate the change in the corrosion state of the coating on the outer surface of the offshore wind power device. Therefore, in the process of establishing the digital twin model, the equipment parameters used mainly include its equipment size and structure parameters (appearance, size parameters of each component, connection relationship, position relationship), etc. Through these parameters, three-dimensional modeling can be performed to obtain a three-dimensional model for representing the structural condition of the offshore wind power device.

[0034] Furthermore, in order to enable the digital twin model to truly simulate the changes in the corrosion state of the coating on the outer surface of the offshore wind power equipment, it is necessary to obtain the coating parameters in the equipment parameters. The coating parameters are used to represent the specific conditions of the coating on the offshore wind power equipment, including the location, material, thickness, etc. of the coating distribution. These coating parameters are related to the equipment size and structure parameters of the offshore wind power equipment. For example, the equipment size and structure parameters include parameters such as the location and size of a certain component in the offshore wind power, and the component also records the corresponding coating in the coating parameters, specifically including the location of the coating on the component (which can be expressed in coordinate form, such as the area surrounded by multiple coordinate points). In summary, the coating parameters of the offshore wind power equipment are used to further enrich the parameters represented by the three-dimensional model, thereby obtaining an equipment simulation model with coating parameters. The equipment simulation model not only has the equipment size and structure parameters of the offshore wind power equipment, but also indicates which locations are distributed with coatings, as well as the size, material and thickness of the coatings.

[0035] After obtaining the equipment simulation model, the changes in the coating state at each position in the equipment simulation model are simulated by using the acquired environmental parameters, the influence mapping relationship between the preset environmental parameters and the coating state, and the preset environmental parameter change function, thereby forming a digital twin model corresponding to the offshore wind power equipment. That is, the difference between the digital twin model and the equipment simulation model is that the digital twin model can simulate the changes in the coating state of the equipment outer surface over time.

[0036] It should be noted that the preset environmental parameter change function reflects the change of each environmental parameter over time, and is used to determine the specific value of the environmental parameter at each time point. In addition, the influence mapping relationship between the environmental parameters and the coating state is obtained by fitting or training based on historical data, and mainly reflects the influence of the environmental parameters on the coating state. For example, at different water temperatures or air temperatures, the coating state change speed or thickness change speed is how, what changes will occur when the water quality of the seawater is in different conditions, and finally a mapping relationship jointly affected by environmental parameters such as water level parameters, water quality parameters, temperature parameters and humidity parameters is obtained, so that the current coating change can be predicted through environmental parameters such as water level parameters, water quality parameters, temperature parameters and humidity parameters and the current coating state. Among them, the water level parameter can be the height of the current seawater level relative to a certain horizontal plane on the offshore wind power equipment (such as the horizontal plane corresponding to the lowest point), which reflects the degree to which the seawater submerges the offshore wind power equipment; the water quality parameter can include the composition of the electrolyte components in the water, such as the salt content, which reflects the influence of the water quality on the corrosion state of the coating, the temperature parameter can be degrees Celsius, and the humidity can be a percentage. It can be understood that the higher the temperature and humidity, the faster the corrosion rate of the coating.

[0037] Exemplarily, the influence mapping relationship can be embodied in the form of a mapping table, a mapping function or a mapping model, and the corresponding coating state change is determined mainly according to the input environmental parameters. Specifically, the coating state change can include the thickness reduction speed, the material (including various materials) conversion speed, the sediment adhesion speed, etc.

[0038] Furthermore, in a feasible embodiment, the step of simulating the change of the coating state of the offshore wind power equipment according to the digital twin model may include: Step S31, calculating and obtaining real-time environmental parameters according to environmental parameters and the change function of environmental parameters at every preset state update cycle; In order to more realistically simulate the changes in the environment in which offshore wind power equipment is located, the environmental parameters can be updated based on a pre-set status update cycle (for example, one day or one hour) to simulate the changes in the environment over time. Among them, the change function of the environmental parameters is fitted based on the historical data of the changes in environmental parameters collected over a long period of time, such as reflecting the seasonal changes in sea temperature and humidity. Moreover, according to the change function, the changes in environmental parameters (such as temperature change amplitude, humidity change amplitude, water level change amplitude, etc.) can be simulated according to the input environmental parameters and time parameters, and finally the current real-time environmental parameters are obtained. The real-time environmental parameters are predicted and the simulated environmental parameters can be used to predict the coating state at the current time point.

[0039] Step S32, obtaining current coating state parameters corresponding to the digital twin model, where the coating state parameters at least include coating corrosion state and coating thickness; It should be noted that the current coating state parameters corresponding to the digital twin model are the coating state parameters updated after the last state update cycle, which can be directly obtained. Specifically, after the last update, another state update cycle has been experienced. At this time, the latest coating state parameters at the current time point can be predicted based on the current coating state parameters. It can be understood that the current coating state parameters are updated once every state update cycle, and the reverse can be traced back to the starting point, that is, the environmental parameters collected by the sensors on the offshore wind power equipment. That is, starting from the environmental parameters collected by the sensor, the current coating state parameters are iteratively updated once every state update cycle according to the latest real-time environmental parameters. Among them, the coating corrosion state includes at least the degree of corrosion of the coating, such as the ratio between the original material in the current coating and the product after the coating is corroded, and can also include the material after the coating is corroded, such as a certain metal oxide.

[0040] Step S33, according to the real-time environmental parameters and the influence mapping relationship between the environmental parameters and the coating state, the current coating state parameters are updated to obtain the predicted coating state parameters at the current time point.

[0041] As described in step S21 to step S23, the influence mapping relationship between the environmental parameters and the coating state can be embodied in one or more forms of a mapping table, a mapping function or a mapping model, and the change of the corresponding coating state is determined mainly according to the input environmental parameters. Specifically, the change of the coating state may include the thickness reduction rate, the material (including various materials) conversion rate, the sediment adhesion rate, etc. Therefore, according to the influence mapping relationship between the determined real-time environmental parameters and the preset environmental parameters and the coating state, the corresponding coating change amount can be mapped, thereby updating the current coating state parameters to obtain the updated predicted coating state parameters at the current time point.

[0042] Furthermore, after step S33, after another status update cycle, the predicted coating status parameters obtained in step S33 can be updated again to obtain the predicted coating status parameters at the next time point, and so on, so that the staff can obtain the updated predicted coating status parameters as needed, so as to make corresponding countermeasures in time.

[0043] Specifically, the current coating state parameters mentioned in the aforementioned steps also include coating state parameters corresponding to each area on the outer surface of the offshore wind power equipment in the digital twin model, so as to realize regional prediction of the coating state. In this way, a more refined prediction can be achieved when predicting the coating state of the offshore wind power equipment, so that the staff can carry out targeted inspection or repair of each area when dealing with coating corrosion of the offshore wind power equipment.

[0044] In a feasible embodiment, the predicted coating state parameters also include the coating corrosion state and coating thickness within a future preset time period; After the current coating state parameter is updated according to the real-time environmental parameter and the influence mapping relationship between the environmental parameter and the coating state to obtain the predicted coating state parameter at the current time point, the method further includes: Step S24, calculating predicted environmental parameters corresponding to multiple time points in a future preset time period according to the real-time environmental parameters, the environmental parameters and the change function of the environmental parameters; Step S25, iteratively updating the predicted coating state parameters according to the predicted environmental parameters and the influence mapping relationship between the environmental parameters and the coating state, to obtain the predicted coating state parameters corresponding to each time point in the future preset time period.

[0045] In the embodiment of the present application, the digital twin model corresponding to the offshore wind power equipment can not only predict the coating state parameters at the current time point, but also, under the condition of a pre-designed change function of the environmental parameters, can predict the environmental parameters for a preset time period in the future, and then iteratively update the predicted coating state parameters at the current time point, thereby obtaining a set of predicted coating state parameters corresponding to each time point in the preset time period in the future.

[0046] This set of predicted coating status parameters corresponding to each time point in the future preset time period can be presented in the form of a table or a line chart, so that the staff can intuitively understand the changes in the coating status parameters in the preset time period, which is conducive to making maintenance measures for the coating of offshore wind power equipment in advance, and further reducing the risks caused by corrosion of the coating of offshore wind power equipment.

[0047] In a feasible embodiment, after the step of establishing a digital twin model corresponding to the offshore wind power equipment based on the equipment parameters and the environmental parameters, the method may further include: Step S26, based on a preset model update cycle, collecting the current real coating parameters of the offshore wind power equipment; Step S27, updating the current coating state corresponding to the digital twin model according to the actual coating parameters of the offshore wind power equipment to obtain an updated digital twin model.

[0048] In an embodiment of the present application, after the step of preliminarily establishing a digital twin model corresponding to the offshore wind power equipment, in order to maintain the synchronization of the digital twin model with the actual coating status on the offshore wind power equipment and ensure the accuracy of the coating status parameters predicted by the digital twin model, it is necessary to keep the digital twin model updated so that the coating status in the digital twin model remains relatively accurate.

[0049] The preset model update cycle can be set according to actual needs, such as one week, one month or other custom cycles. Every other model update cycle, the real coating parameters of the offshore wind power equipment collected by the sensor are obtained from the offshore wind power equipment, and the real coating parameters reflect the real state of the coating on the outer surface of the offshore wind power equipment at the current time point.

[0050] Among them, before obtaining the real coating parameters of the offshore wind power equipment, the digital twin model predicts the coating state parameters according to the method of steps S31 to S33 in the aforementioned embodiment. After obtaining the real coating parameters, the predicted coating state parameters at the current time point are replaced by the real coating parameters. The subsequent prediction process is based on the real coating parameters to avoid long-term iterative predictions that lead to increasingly poor accuracy of coating parameters, thereby deviating from the real coating state of the offshore wind power equipment.

[0051] In a feasible embodiment, after the step of simulating the coating state change of the offshore wind power equipment according to the digital twin model and outputting the predicted coating state parameters, referring to Figure 3 , the method further comprises: Step S40, determining the corrosion risk level corresponding to the offshore wind power equipment according to the predicted coating state parameters and the preset coating corrosion state classification rules, wherein the corrosion risk level is one of low, medium, and high; After the predicted coating status parameters of the offshore wind power equipment are predicted, the corrosion risk classification can be further performed to more intuitively determine the corrosion status of the wind power equipment coating.

[0052] Among them, the predicted coating state parameters include coating thickness, coating corrosion state and other parameters. The smaller the coating thickness, the higher the corrosion risk level; the more severe the corrosion degree shown by the coating corrosion state, the higher the corrosion risk level.

[0053] Exemplarily, according to the influence relationship between the above-mentioned coating thickness and coating corrosion state and the corresponding corrosion risk level, the weights corresponding to the coating thickness and coating corrosion state are pre-set, and then the weighted sum is taken to obtain a score. Then, the corrosion risk level corresponding to the offshore wind power equipment is determined through the branch ranges corresponding to the pre-set low, medium and high corrosion risk levels.

[0054] Step S50, querying the maintenance strategy corresponding to the corrosion risk level in the preset equipment maintenance knowledge base, wherein when the corrosion risk level is medium, the corresponding maintenance strategy includes repairing the coating of the offshore wind power equipment according to the preset maintenance cycle; when the corrosion risk level is high, the corresponding maintenance strategy includes stopping the operation and comprehensively repairing the coating of the offshore wind power equipment; The preset equipment maintenance knowledge base can be established by the professional knowledge of the staff (including relevant experts) or the coating maintenance field of wind power equipment, and corresponding maintenance strategies are set for different corrosion risk levels (low, medium, and high).

[0055] For example, when the corrosion risk level is low, the corresponding maintenance strategy may include continued monitoring without additional treatment; when the corrosion risk level is medium, the corresponding maintenance strategy includes repairing the coating of offshore wind power equipment according to the preset maintenance cycle; when the corrosion risk level is high, the offshore wind power equipment is already at a higher risk stage and cannot continue to operate to avoid failures and safety risks, so the corresponding maintenance strategy includes stopping operation and comprehensively repairing the coating of the offshore wind power equipment.

[0056] Step S60: Push the maintenance strategy corresponding to the corrosion risk level and the corrosion risk level to the mobile terminal or management account corresponding to the staff associated with the offshore wind power equipment.

[0057] Furthermore, after determining the corresponding corrosion risk level of the offshore wind power equipment, the relevant information is directly pushed to the staff, so that the staff can timely understand the corrosion situation of the coating of the offshore wind power equipment and take countermeasures to ensure the normal operation of the offshore wind power equipment.

[0058] Exemplarily, targeted reminder measures can be adopted at different corrosion risk levels. For example, when the corrosion risk level is low, after the maintenance strategy and corrosion risk level are pushed to the staff, no additional processing is required; when the corrosion risk level is medium, after the maintenance strategy and corrosion risk level are pushed to the staff, if the staff does not check within the first preset time period (such as three days), the staff will be reminded through a dial-up call; when the corrosion risk level is high, if the staff does not check within the first preset time period (such as one day), the staff will be reminded through a dial-up call. This can ensure that when the corrosion risk of the coating of the offshore wind power equipment is high, the staff can grasp the relevant information in a timely manner and take countermeasures.

[0059] In the embodiment of the present application, after determining the corrosion risk level of the coating of the offshore wind power equipment, the corresponding maintenance strategy is directly determined through a preset knowledge base, which facilitates the staff to directly take corresponding maintenance measures, reduces the requirements for the staff's own experience and professional quality in this field, and can more efficiently achieve maintenance of the wind power equipment coating.

[0060] It should be noted that this example is only used to assist in understanding the present application and does not constitute a limitation on the method for monitoring the corrosion status of coatings on wind power equipment of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0061] The present application also provides a wind power equipment coating corrosion status monitoring device, referring to Figure 4 , the wind power equipment coating corrosion status monitoring device includes: A parameter acquisition module 10 is used to acquire equipment parameters of offshore wind power equipment and environmental parameters collected by sensors on the offshore wind power equipment; A model building module 20, used to establish a digital twin model corresponding to the offshore wind power equipment based on the equipment parameters and the environmental parameters; The state prediction module 30 is used to simulate the change of the coating state of the offshore wind power equipment according to the digital twin model, and output predicted coating state parameters, wherein the predicted coating state parameters at least include the coating corrosion state and coating thickness of the offshore wind power equipment at the current time point.

[0062] In one embodiment, the equipment parameters at least include equipment size and structure parameters and coating parameters; the model building module 20 is also used for: Based on the equipment size and structure parameters of the offshore wind power equipment, three-dimensional modeling is performed on the offshore wind power equipment to obtain a corresponding three-dimensional model; According to the coating parameters of the offshore wind power equipment, the three-dimensional model is updated to obtain a device simulation model carrying the coating parameters; Based on the environmental parameters, the influence mapping relationship between the environmental parameters and the coating state, and the preset environmental parameter change function, the change of the coating state in the equipment simulation model is simulated to obtain a digital twin model corresponding to the offshore wind power equipment, wherein the environmental parameters include at least water level parameters, water quality parameters, temperature parameters and humidity parameters.

[0063] In one embodiment, the state prediction module 30 is further used for: At every preset state update cycle, the real-time environmental parameter is calculated based on the environmental parameter and the change function of the environmental parameter; Obtaining current coating state parameters corresponding to the digital twin model, wherein the coating state parameters at least include coating corrosion state and coating thickness; According to the real-time environmental parameters and the influence mapping relationship between the environmental parameters and the coating state, the current coating state parameters are updated to obtain the predicted coating state parameters at the current time point.

[0064] In one embodiment, the predicted coating state parameters also include the coating corrosion state and coating thickness within a future preset time period; the state prediction module 30 is also used for: Calculate predicted environmental parameters corresponding to multiple time points in a future preset time period according to the real-time environmental parameter, the environmental parameter and the change function of the environmental parameter; According to the predicted environmental parameters and the influence mapping relationship between the environmental parameters and the coating state, the predicted coating state parameters are iteratively updated to obtain the predicted coating state parameters corresponding to each time point in a future preset time period.

[0065] In one embodiment, the wind power equipment coating corrosion status monitoring device further includes a model updating module, and the model updating module is further used to: Based on a preset model update cycle, collecting current real coating parameters of the offshore wind power equipment; According to the real coating parameters of the offshore wind power equipment, the current coating state corresponding to the digital twin model is updated to obtain an updated digital twin model.

[0066] In one embodiment, the wind power equipment coating corrosion status monitoring device further includes a risk grading module, and the risk grading module is further used to: Determining the corrosion risk level corresponding to the offshore wind power equipment according to the predicted coating state parameters and the preset coating corrosion state classification rules, wherein the corrosion risk level is one of low, medium and high; The maintenance strategy corresponding to the corrosion risk level is queried in a preset equipment maintenance knowledge base, wherein when the corrosion risk level is medium, the corresponding maintenance strategy includes repairing the coating of the offshore wind power equipment according to a preset maintenance cycle; when the corrosion risk level is high, the corresponding maintenance strategy includes stopping operation and comprehensively repairing the coating of the offshore wind power equipment; The maintenance strategy corresponding to the corrosion risk level and the corrosion risk level are pushed to the mobile terminal or management account corresponding to the staff associated with the offshore wind power equipment.

[0067] The wind power equipment coating corrosion state monitoring device provided in the embodiment of the present application adopts the wind power equipment coating corrosion state monitoring method in the above embodiment, which can solve the technical problems that the current wind power equipment coating corrosion state monitoring scheme is subject to large environmental restrictions and has a high workload and high detection cost. Compared with the prior art, the beneficial effects of the wind power equipment coating corrosion state monitoring device provided in the embodiment of the present application are the same as the beneficial effects of the wind power equipment coating corrosion state monitoring method provided in the above embodiment, and the other technical features of the wind power equipment coating corrosion state monitoring device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0068] An embodiment of the present application also provides an electronic device, which includes at least: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for monitoring the corrosion status of the coating of wind power equipment in the above embodiment.

[0069] Reference below Figure 5 , which shows a schematic diagram of the structure of an electronic device suitable for implementing an embodiment of the present application. Figure 5 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0070] like Figure 5As shown, the electronic device may include a processing device 101 (e.g., a central processing unit, a graphics processor, etc.), which may perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 102 or a program loaded from a storage device 103 to a random access memory (RAM: Random Access Memory) 104. In RAM104, various programs and data required for the operation of the electronic device are also stored. The processing device 101, ROM102, and RAM104 are connected to each other through a bus 105. An input / output (I / O) interface 106 is also connected to the bus. Generally, the following systems may be connected to the I / O interface 106: an input device 107 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 108 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 103 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 109. The communication device 109 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. Although the electronic device with various systems is shown in the figure, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have instead.

[0071] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 103, or installed from a ROM 102. When the computer program is executed by the processing device 101, the above-mentioned functions defined in the method of the embodiment of the present application are executed.

[0072] The electronic device provided in the embodiment of the present application adopts the wind power equipment coating corrosion state monitoring method in the above embodiment, which can solve the technical problems that the current wind power equipment coating corrosion state monitoring scheme is subject to large environmental restrictions, high workload, and high detection cost. Compared with the prior art, the beneficial effects of the electronic device provided in the embodiment of the present application are the same as the beneficial effects of the wind power equipment coating corrosion state monitoring method provided in the above embodiment, and the other technical features in the electronic device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0073] It should be understood that each part of the embodiments of the present application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0074] The above is only a specific implementation of the embodiment of the present application, but the protection scope of the embodiment of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or replacements within the technical scope disclosed in the present application, which should be included in the protection scope of the embodiment of the present application. Therefore, the protection scope of the embodiment of the present application shall be based on the protection scope of the above claims.

[0075] An embodiment of the present application also provides a computer-readable storage medium storing a computer program executable on a processor, wherein the computer program is used to execute the method for monitoring the corrosion status of a coating of wind power equipment in the above embodiment.

[0076] The computer-readable storage medium provided in the embodiment of the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

[0077] The computer-readable storage medium may be included in the electronic device, or may exist independently without being installed in the electronic device.

[0078] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by an electronic device, the electronic device executes: obtaining equipment parameters of the offshore wind power equipment and environmental parameters collected by sensors on the offshore wind power equipment; establishing a digital twin model corresponding to the offshore wind power equipment based on the equipment parameters and the environmental parameters; simulating the change of the coating state of the offshore wind power equipment according to the digital twin model, and outputting predicted coating state parameters, wherein the predicted coating state parameters at least include the coating corrosion state and coating thickness of the offshore wind power equipment at the current time point.

[0079] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0080] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0081] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0082] The computer-readable storage medium provided in the embodiment of the present application stores computer-readable program instructions for executing the above-mentioned wind power equipment coating corrosion state monitoring method, which can solve the technical problems that the current wind power equipment coating corrosion state monitoring scheme is subject to large environmental restrictions, high workload, and high detection cost. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the embodiment of the present application are the same as the beneficial effects of the wind power equipment coating corrosion state monitoring method provided in the above-mentioned embodiment, and will not be repeated here.

[0083] An embodiment of the present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned method for monitoring the corrosion status of the coating of wind power equipment when the computer program is executed by a processor.

[0084] The computer program product provided in the embodiment of the present application can solve the technical problems that the current wind power equipment coating corrosion state monitoring scheme is subject to large environmental restrictions, high workload, and high detection cost. Compared with the prior art, the beneficial effects of the computer program product provided in the embodiment of the present application are the same as the beneficial effects of the wind power equipment coating corrosion state monitoring method provided in the above embodiment, which will not be repeated here.

[0085] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent processing scope of the present application.

Claims

1. A method for monitoring the corrosion status of a wind power equipment coating, characterized in that: Applied to a cloud device, the cloud device is connected to an offshore wind power device for communication, and the wind power device coating corrosion status monitoring method includes: Acquiring equipment parameters of an offshore wind power equipment and environmental parameters collected by sensors on the offshore wind power equipment; Based on the equipment parameters and the environmental parameters, establishing a digital twin model corresponding to the offshore wind power equipment; According to the digital twin model, the change of the coating state of the offshore wind power equipment is simulated, and the predicted coating state parameters are output, wherein the predicted coating state parameters at least include the coating corrosion state and coating thickness of the offshore wind power equipment at the current time point.

2. The method for monitoring the corrosion status of wind power equipment coating according to claim 1, characterized in that: The equipment parameters at least include equipment size and structure parameters and coating parameters; The step of establishing a digital twin model corresponding to the offshore wind power equipment based on the equipment parameters and the environmental parameters includes: Based on the equipment size and structure parameters of the offshore wind power equipment, three-dimensional modeling is performed on the offshore wind power equipment to obtain a corresponding three-dimensional model; According to the coating parameters of the offshore wind power equipment, the three-dimensional model is updated to obtain a device simulation model carrying the coating parameters; Based on the environmental parameters, the influence mapping relationship between the environmental parameters and the coating state, and the preset environmental parameter change function, the change of the coating state in the equipment simulation model is simulated to obtain a digital twin model corresponding to the offshore wind power equipment, wherein the environmental parameters include at least water level parameters, water quality parameters, temperature parameters and humidity parameters.

3. The method for monitoring the corrosion status of wind power equipment coating according to claim 2, characterized in that: The step of simulating the change of the coating state of the offshore wind power equipment according to the digital twin model includes: At every preset state update cycle, the real-time environmental parameter is calculated based on the environmental parameter and the change function of the environmental parameter; Obtaining current coating state parameters corresponding to the digital twin model, wherein the coating state parameters at least include coating corrosion state and coating thickness; According to the real-time environmental parameters and the influence mapping relationship between the environmental parameters and the coating state, the current coating state parameters are updated to obtain the predicted coating state parameters at the current time point.

4. The method for monitoring the corrosion status of wind power equipment coating according to claim 3, characterized in that: The predicted coating state parameters also include the coating corrosion state and coating thickness within a future preset time period; After updating the current coating state parameter according to the real-time environmental parameter and the influence mapping relationship between the environmental parameter and the coating state to obtain the predicted coating state parameter at the current time point, the method further includes: Calculate predicted environmental parameters corresponding to multiple time points in a future preset time period according to the real-time environmental parameter, the environmental parameter and the change function of the environmental parameter; According to the predicted environmental parameters and the influence mapping relationship between the environmental parameters and the coating state, the predicted coating state parameters are iteratively updated to obtain the predicted coating state parameters corresponding to each time point in a future preset time period.

5. The method for monitoring the corrosion status of wind power equipment coating according to claim 2, characterized in that: After the step of establishing a digital twin model corresponding to the offshore wind power equipment based on the equipment parameters and the environmental parameters, the method further includes: Based on a preset model update cycle, collecting current real coating parameters of the offshore wind power equipment; According to the real coating parameters of the offshore wind power equipment, the current coating state corresponding to the digital twin model is updated to obtain an updated digital twin model.

6. The method for monitoring the corrosion status of a wind power equipment coating according to any one of claims 1 to 4, characterized in that: After the step of simulating the change of the coating state of the offshore wind power equipment according to the digital twin model and outputting the predicted coating state parameters, the method further includes: Determining the corrosion risk level corresponding to the offshore wind power equipment according to the predicted coating state parameters and the preset coating corrosion state classification rules, wherein the corrosion risk level is one of low, medium and high; The maintenance strategy corresponding to the corrosion risk level is queried in a preset equipment maintenance knowledge base, wherein when the corrosion risk level is medium, the corresponding maintenance strategy includes repairing the coating of the offshore wind power equipment according to a preset maintenance cycle; when the corrosion risk level is high, the corresponding maintenance strategy includes stopping operation and comprehensively repairing the coating of the offshore wind power equipment; The maintenance strategy corresponding to the corrosion risk level and the corrosion risk level are pushed to the mobile terminal or management account corresponding to the staff associated with the offshore wind power equipment.

7. A wind power equipment coating corrosion status monitoring device, characterized in that: The wind power equipment coating corrosion status monitoring device comprises: A parameter acquisition module, used to acquire equipment parameters of offshore wind power equipment and environmental parameters collected by sensors on the offshore wind power equipment; A model building module, used to establish a digital twin model corresponding to the offshore wind power equipment based on the equipment parameters and the environmental parameters; A state prediction module is used to simulate the changes in the coating state of the offshore wind power equipment according to the digital twin model, and output predicted coating state parameters, wherein the predicted coating state parameters at least include the coating corrosion state and coating thickness of the offshore wind power equipment at the current time point.

8. An electronic device, characterized in that: The electronic device comprises at least: a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the method for monitoring the corrosion status of a coating of a wind power equipment as described in any one of claims 1 to 6.

9. A readable storage medium, characterized in that: The readable storage medium is a computer-readable storage medium, on which is stored a program for implementing a method for monitoring the corrosion status of a coating on wind power equipment. The program for implementing a method for monitoring the corrosion status of a coating on wind power equipment is executed by a processor to implement the steps of the method for monitoring the corrosion status of a coating on wind power equipment as described in any one of claims 1 to 6.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the method for monitoring the corrosion state of a coating of a wind power equipment as claimed in any one of claims 1 to 6 are implemented.

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