Method for monitoring corrosion of wind power materials and device therefor

Abstract

This disclosure provides a method and apparatus for monitoring corrosion of wind power materials, relating to the field of wind power material technology. The specific implementation scheme is as follows: Based on the corrosion monitoring sensor network information of the wind power materials in the wind turbine equipment, corrosion image data and multi-dimensional sensor data of the wind power materials are acquired; the corrosion image data and multi-dimensional sensor data are integrated and analyzed to determine the corrosion monitoring data stream of the wind power materials; the corrosion monitoring data stream is evaluated based on a preset wind power material corrosion assessment model to obtain corrosion assessment information of the wind power materials; wherein, the wind power material corrosion assessment model is a model established based on material corrosion assessment factor information; based on the corrosion assessment information, anti-corrosion treatment is performed on the wind turbine equipment, which can improve the timeliness and accuracy of anti-corrosion treatment and ensure the safe and stable operation of the wind turbine equipment.

Description

Technical Field

[0001] This disclosure relates to the field of wind power materials technology, and in particular to a method and apparatus for monitoring corrosion of wind power materials. Background Technology

[0002] With the development of the wind power industry, wind power equipment is widely used in regions with harsh climates, such as oceans, plateaus, and deserts. These regions have environmental conditions such as high humidity, high salinity, strong winds, and drastic temperature changes, which may lead to corrosion and aging of wind power materials in the equipment, affecting its safe operation. Summary of the Invention

[0003] This disclosure provides a method and apparatus for monitoring corrosion of wind power materials.

[0004] According to a first aspect of this disclosure, a method for monitoring corrosion of wind power materials is provided, comprising:

[0005] Based on the corrosion monitoring sensor network information of wind power materials in wind power equipment, obtain corrosion image data and multi-dimensional sensor data of wind power materials;

[0006] The corrosion image data and multidimensional sensor data are integrated and analyzed to determine the corrosion monitoring data stream of wind power materials.

[0007] The corrosion monitoring data stream is evaluated and processed based on a pre-set wind power material corrosion assessment model to obtain corrosion assessment information of wind power materials; wherein, the wind power material corrosion assessment model is a model established based on the information of material corrosion assessment factors;

[0008] Corrosion protection treatment is carried out on wind power equipment based on corrosion assessment information.

[0009] According to a second aspect of this disclosure, a wind power material corrosion monitoring device is provided, comprising:

[0010] The acquisition module is used to acquire corrosion image data and multi-dimensional sensing data of wind power materials based on the corrosion monitoring sensor network information of wind power materials in wind power equipment.

[0011] The integration module is used to integrate and analyze corrosion image data and multidimensional sensor data to determine the corrosion monitoring data stream of wind power materials;

[0012] The evaluation module is used to evaluate and process the corrosion monitoring data stream based on a preset wind power material corrosion evaluation model to obtain corrosion evaluation information of the wind power materials; wherein, the wind power material corrosion evaluation model is a model established based on the material corrosion evaluation factor information;

[0013] The processing module is used to perform anti-corrosion treatment on wind power equipment based on corrosion assessment information.

[0014] In some embodiments of this disclosure, the acquisition module is further configured to determine coverage angle parameter information and regional environmental characteristic parameter information based on the distribution characteristic information of wind power materials; determine corrosion monitoring sensor network information of wind power materials in wind power equipment based on the coverage angle parameter information and regional environmental characteristic parameter information, and use the corrosion monitoring sensor network information of wind power materials in wind power equipment to build a corrosion monitoring sensor network for wind power equipment; and acquire corrosion image data of wind power materials and multi-dimensional sensing data of wind power materials based on the corrosion monitoring sensor network information.

[0015] In some embodiments of this disclosure, the acquisition module is further configured to determine the distribution area information and regional environmental information of the wind power materials based on the distribution characteristic information of the wind power materials; perform coverage angle analysis on the distribution area information to determine the coverage angle parameter information; and perform feature extraction processing on the regional environmental information to determine the regional environmental feature parameter information.

[0016] In some embodiments of this disclosure, the integration module is further configured to preprocess the corrosion image data to obtain preprocessed corrosion image data; extract features from the preprocessed corrosion image data to determine corrosion characteristic data information of the wind power material; and integrate and analyze the corrosion characteristic data information and multidimensional sensing data to determine the corrosion monitoring data stream of the wind power material.

[0017] In some embodiments of this disclosure, the integration module is further configured to normalize the corrosion image data to obtain standard corrosion image data; and to filter and denoise the standard corrosion image data to obtain preprocessed corrosion image data.

[0018] In some embodiments of this disclosure, the integration module is further configured to perform traversal convolution calculations on the eroded image data according to a preset convolution kernel to obtain the image convolution calculation result; and determine the erosion feature data information based on the image convolution calculation result.

[0019] In some embodiments of this disclosure, the corrosion assessment information of wind power materials in the assessment module and the processing module includes at least one of the following: corrosion type, corrosion degree, corrosion location, and corrosion trend.

[0020] According to a third aspect of this disclosure, an electronic device is provided, comprising:

[0021] At least one processor; and

[0022] A memory that is communicatively connected to at least one processor; wherein,

[0023] The memory stores instructions that can be executed by at least one processor, such that the instructions are executed by at least one processor to enable the at least one processor to perform the method described in the first aspect above.

[0024] According to a fourth aspect of this disclosure, a non-transitory computer-readable storage medium is provided storing computer instructions for causing a computer to perform the method of the first aspect described above.

[0025] The technical solution disclosed herein acquires corrosion image data and multi-dimensional sensor data of wind power materials based on corrosion monitoring sensor network information of wind power materials in wind turbine equipment. It integrates and analyzes the corrosion image data and multi-dimensional sensor data to determine the corrosion monitoring data stream of the wind power materials, thus improving the timeliness and accuracy of corrosion monitoring of wind power materials in wind turbine equipment. The corrosion monitoring data stream is then evaluated based on a pre-set wind power material corrosion assessment model to obtain corrosion assessment information of the wind power materials. This wind power material corrosion assessment model is established based on information about material corrosion assessment factors. Based on the corrosion assessment information, anti-corrosion treatment is applied to the wind turbine equipment, which improves the timeliness and accuracy of anti-corrosion treatment and ensures the safe and stable operation of the wind turbine equipment.

[0026] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this disclosure, nor is it intended to limit the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0027] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein:

[0028] Figure 1 This is a flowchart of a method for monitoring corrosion of wind power materials according to an embodiment of this disclosure;

[0029] Figure 2 This is a flowchart of a method for monitoring corrosion of wind power materials according to an embodiment of this disclosure;

[0030] Figure 3 This is a flowchart of a method for monitoring corrosion of wind power materials according to an embodiment of this disclosure;

[0031] Figure 4 This is a schematic flowchart of a wind power material corrosion monitoring method provided according to an embodiment of this disclosure;

[0032] Figure 5 This is a block diagram of a wind power material corrosion monitoring device provided according to an embodiment of the present disclosure;

[0033] Figure 6This is a block diagram of an electronic device provided according to embodiments of the present disclosure. Detailed Implementation

[0034] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0035] Figure 1 This is a flowchart of a wind power material corrosion monitoring method provided according to embodiments of this disclosure. Figure 1 As shown, the method for monitoring corrosion of wind power materials includes, but is not limited to, the following steps:

[0036] In step S101, corrosion image data and multi-dimensional sensing data of wind power materials are acquired based on the corrosion monitoring sensor network information of wind power materials in the wind power equipment.

[0037] It should be noted that the distribution characteristics information of wind power materials includes the layout, distribution, and configuration information of wind power materials. Based on the distribution characteristics information of wind power materials, the corrosion monitoring sensor network information can be adjusted to enable comprehensive, real-time, and accurate monitoring of the corrosion status of wind power materials in all wind power equipment, and to acquire corrosion image data and multi-dimensional sensor data of wind power materials.

[0038] It should be noted that the corrosion monitoring sensor network information can be used to construct a corrosion monitoring sensor network for wind power materials. This network is used to acquire corrosion image data and multi-dimensional sensor data of the wind power materials. For example, the network includes at least one sensor group. Each sensor group includes, but is not limited to, at least one image sensor and at least one corrosion sensor. The at least one image sensor is used to acquire images of the wind power materials. The at least one corrosion sensor is used to acquire multi-dimensional sensor data of the wind power materials.

[0039] In step S102, corrosion image data and multidimensional sensor data are integrated and processed to determine the corrosion monitoring data stream of wind power materials.

[0040] Understandably, comprehensive analysis of corrosion image data and multidimensional sensor data can provide a more complete and accurate understanding of the corrosion status of wind power materials, thereby improving the accuracy of corrosion monitoring and anti-corrosion treatment.

[0041] In step S103, the corrosion monitoring data stream is evaluated and processed based on a preset wind power material corrosion assessment model to obtain corrosion assessment information of the wind power material.

[0042] It should be noted that the information on material corrosion assessment factors includes, but is not limited to, corrosion rate, corrosion morphology, and corrosion performance. Optionally, in some embodiments, the wind power material corrosion assessment model is a model established based on the information on material corrosion assessment factors.

[0043] Optionally, in some embodiments, the corrosion assessment information for wind power materials includes at least one of the following: corrosion type, corrosion degree, corrosion location, and corrosion trend.

[0044] In step S104, the wind power equipment is subjected to anti-corrosion treatment based on corrosion assessment information.

[0045] It should be noted that, in some embodiments, corrosion assessment information can be analyzed to obtain the corrosion status of the wind power equipment; corrosion prevention treatment can be carried out on the wind power equipment according to its corrosion status, which can improve the accuracy of the corrosion prevention treatment, so as to ensure the safe operation of the wind power equipment and extend its service life.

[0046] In the embodiments of this disclosure, corrosion image data and multi-dimensional sensor data of wind power materials are acquired based on the corrosion monitoring sensor network information of wind power materials in wind turbines. The corrosion image data and multi-dimensional sensor data are integrated and analyzed to determine the corrosion monitoring data stream of the wind power materials, thus improving the timeliness and accuracy of corrosion monitoring of wind power materials in wind turbines. The corrosion monitoring data stream is evaluated based on a preset wind power material corrosion assessment model to obtain corrosion assessment information of the wind power materials. The wind power material corrosion assessment model is established based on material corrosion assessment factor information. Corrosion protection treatment is then applied to the wind turbines based on the corrosion assessment information, which improves the timeliness and accuracy of the corrosion protection treatment and ensures the safe and stable operation of the wind turbines.

[0047] Figure 2 This is a flowchart of a wind power material corrosion monitoring method provided according to embodiments of this disclosure. Figure 2 As shown, the method for monitoring corrosion of wind power materials includes, but is not limited to, the following steps:

[0048] In step S201, the coverage angle parameter information and the regional environmental characteristic parameter information are determined based on the distribution characteristic information of wind power materials.

[0049] It should be noted that the distribution characteristics information of wind power materials refers to the layout, distribution and configuration information of wind power materials in wind power equipment.

[0050] Optionally, in some embodiments, the distribution area information and regional environmental information of wind power materials are determined based on the distribution characteristics information of wind power materials; the coverage angle analysis of the distribution area information is performed to determine the coverage angle parameter information; and the feature extraction processing of the regional environmental information is performed to determine the regional environmental feature parameter information.

[0051] Optionally, in some embodiments, the distribution characteristic information includes wind power material distribution area information and wind power material area environmental information. For example, the wind power material distribution area information includes, but is not limited to, the location information, distribution density information, and coverage information of the wind power material; the wind power material area environmental information includes, but is not limited to, the climate conditions, atmospheric environment information, and soil environment information of the wind power material location.

[0052] It should be noted that the coverage angle parameter information refers to the parameters describing the coverage range and coverage angle of the corrosion monitoring sensor network in the wind power material distribution area.

[0053] Optionally, in some embodiments, coverage angle analysis is performed on the wind power material distribution area information in the distribution feature information to determine coverage angle parameter information. For example, coverage range analysis is performed on the wind power material distribution area information to determine at least one corrosion monitoring point; the coverage angle parameter information is determined based on the angle between the at least one corrosion monitoring point and the location information of the wind power material.

[0054] It should be noted that the regional environmental characteristic parameter information refers to the parameter information describing the environmental characteristics of the wind power materials. This regional environmental characteristic parameter information includes, but is not limited to, temperature information, humidity information, altitude information, temperature difference information, pH information, and pollution information.

[0055] Optionally, in some embodiments, feature extraction processing is performed on the regional environmental information of wind power materials in the distribution feature information to determine regional environmental feature parameter information. For example, data cleaning and standardization processing are performed on the regional environmental information of wind power materials to obtain standardized regional environmental information of wind power materials; based on the standardized regional environmental information of wind power materials, at least one environmental feature information related to the environment of the area where the wind power materials are located is determined; feature extraction processing is performed on at least one environmental feature information based on principal component analysis to determine regional environmental feature parameter information.

[0056] In step S202, the corrosion monitoring sensor network information of wind power materials in wind power equipment is determined based on the coverage angle parameter information and the regional environmental characteristic parameter information.

[0057] It should be noted that the corrosion monitoring sensor network information for wind turbine materials in wind power equipment is determined based on coverage angle parameters and regional environmental characteristic parameters. This allows for focused coverage of areas with a significant impact on wind turbine material corrosion, facilitating timely and accurate corrosion monitoring. For example, based on coverage angle parameters, uncovered areas are identified. If the regional environmental characteristic parameters of the uncovered areas exceed a first threshold, the corrosion monitoring sensor network is adjusted to facilitate corrosion monitoring in these areas. If the regional environmental characteristic parameters of the uncovered areas are less than or equal to the first threshold, the corrosion monitoring sensor network information is determined based on the coverage angle parameters.

[0058] In step S203, corrosion image data and multi-dimensional sensing data of wind power materials are acquired based on corrosion monitoring sensor network information.

[0059] It should be noted that corrosion image data of wind power materials can intuitively obtain information such as the shape, size, and color of the corrosion area, facilitating the determination of the corrosion status of the wind power materials. Optionally, in some embodiments, image acquisition and processing of wind power materials are performed based on corrosion monitoring sensor network information to obtain corrosion image data of the wind power materials.

[0060] It should be noted that the multidimensional sensing data of wind power materials includes, but is not limited to, information such as temperature, humidity, potential, and pH of the wind power materials. Optionally, in some embodiments, multidimensional measurement processing of wind power materials is performed based on corrosion monitoring sensor network information to obtain multidimensional sensing data of the wind power materials.

[0061] In step S204, the corrosion image data and multidimensional sensor data are integrated and processed by data analysis to determine the corrosion monitoring data stream of wind power materials.

[0062] In the embodiments of this disclosure, step S204 can be implemented in any of the ways described in the various embodiments of this disclosure. This disclosure does not limit this and will not elaborate further.

[0063] In step S205, the corrosion monitoring data stream is evaluated and processed based on a preset wind power material corrosion assessment model to obtain corrosion assessment information of the wind power material.

[0064] In the embodiments of this disclosure, step S205 can be implemented in any of the ways described in the various embodiments of this disclosure. This disclosure does not limit this and will not elaborate further.

[0065] In step S206, the wind power equipment is subjected to anti-corrosion treatment based on corrosion assessment information.

[0066] In the embodiments of this disclosure, step S206 can be implemented in any of the ways described in the various embodiments of this disclosure. This disclosure does not limit this and will not elaborate further.

[0067] In the embodiments of this disclosure, coverage angle parameters and regional environmental characteristic parameters are determined based on the distribution characteristics of wind power materials. Based on these parameters, corrosion monitoring sensor network information for wind power materials in the wind turbine is determined, and this information is used to construct a corrosion monitoring sensor network for the wind turbine. Based on this network information, corrosion image data and multi-dimensional sensor data of the wind power materials are acquired. This ensures comprehensive and effective corrosion monitoring of the wind power materials, improving the timeliness and accuracy of corrosion monitoring, and facilitating timely and accurate anti-corrosion treatment of the wind turbine, thus ensuring its safe and stable operation.

[0068] Figure 3 This is a flowchart of a wind power material corrosion monitoring method provided according to embodiments of this disclosure. Figure 3 As shown, the method for monitoring corrosion of wind power materials includes, but is not limited to, the following steps:

[0069] In step S301, corrosion image data and multi-dimensional sensing data of wind power materials are acquired based on the corrosion monitoring sensor network information of wind power materials in the wind power equipment.

[0070] In the embodiments of this disclosure, step S301 can be implemented in any of the ways described in the various embodiments of this disclosure. This disclosure does not limit this and will not elaborate further.

[0071] In step S302, the corrosion image data is preprocessed to obtain preprocessed corrosion image data.

[0072] It should be noted that filtering and noise reduction of corrosion image data can remove noise and interference information, improve the quality and clarity of corrosion image data, and provide accurate and reliable image data support for corrosion assessment of wind power materials.

[0073] Optionally, in some embodiments, the erosion image data is normalized to obtain standard erosion image data; the standard erosion image data is then filtered and denoised to obtain preprocessed erosion image data. For example, the erosion image data is normalized to obtain standard erosion image data; and then filtered and denoised using a Gaussian filter to obtain preprocessed erosion image data.

[0074] In step S303, feature extraction is performed on the preprocessed corrosion image data to determine the corrosion feature data information of the wind power material.

[0075] It should be noted that the wind power equipment application quality standard refers to the quality standards and specifications formulated specifically for the operation and application characteristics of wind power equipment. For example, by determining a preset convolution kernel based on the wind power equipment application quality standard, more accurate corrosion characteristic data can be obtained.

[0076] Optionally, in some embodiments, the eroded image data is subjected to traversal convolution calculations based on a preset convolution kernel to obtain image convolution calculation results; based on the image convolution calculation results, erosion feature data information is determined. For example, convolution operations are performed on each pixel in the eroded image data based on a preset convolution kernel to obtain image convolution calculation results; the image convolution calculation results are analyzed and feature extraction processes are performed to determine erosion feature data information.

[0077] In step S304, corrosion characteristic data and multidimensional sensor data are integrated and analyzed to determine the corrosion monitoring data stream of wind power materials.

[0078] In step S305, the corrosion monitoring data stream is evaluated and processed based on a preset wind power material corrosion evaluation model to obtain corrosion evaluation information of the wind power material.

[0079] It should be noted that the preset wind power material corrosion assessment model is a model established based on material corrosion assessment factor information. Optionally, in some embodiments, a wind power material corrosion assessment model is constructed based on material corrosion assessment factor information; the wind power material corrosion assessment model is then trained to obtain the preset wind power material corrosion assessment model.

[0080] Optionally, in some embodiments, the specific implementation of constructing a preset wind power material corrosion assessment model based on material corrosion assessment factor information can be as follows: obtaining the attribute information and environmental condition information of the wind power material; and constructing a preset wind power material corrosion assessment model with the attribute information and environmental condition information of the wind power material as input and the material corrosion assessment factor information as output, based on the attribute information and environmental condition information of the wind power material and the material corrosion assessment factor information.

[0081] Optionally, in some embodiments, the specific implementation of training the wind power material corrosion assessment model to obtain the preset wind power material corrosion assessment model can be as follows: based on big data acquisition technology, relevant data corresponding to the material corrosion assessment factor information are collected to obtain a wind power material corrosion sample training set, a wind power material corrosion sample test set, and a wind power material corrosion sample validation set; the wind power material corrosion assessment model is trained based on the wind power material corrosion sample training set, the wind power material corrosion sample test set, and the wind power material corrosion sample validation set to obtain the preset wind power material corrosion assessment model.

[0082] For example, based on big data acquisition technology, relevant data corresponding to the material corrosion assessment factors are collected to obtain a wind power material corrosion database; based on the material corrosion assessment factor information, the wind power material corrosion database is classified and integrated to obtain a wind power material corrosion assessment factor sample set; the wind power material corrosion assessment factor sample set is divided to obtain a wind power material corrosion sample training set, a wind power material corrosion sample test set, and a wind power material corrosion sample validation set; based on the wind power material corrosion sample training set, the wind power material corrosion sample test set, and the wind power material corrosion sample validation set, a linear regression training is performed on the wind power material corrosion assessment model to obtain a preset wind power material corrosion assessment model.

[0083] In step S306, the wind power equipment is subjected to anti-corrosion treatment based on corrosion assessment information.

[0084] In the embodiments of this disclosure, step S306 can be implemented in any of the ways described in the various embodiments of this disclosure. This disclosure does not limit this and will not elaborate further.

[0085] In the embodiments of this disclosure, corrosion image data is preprocessed to obtain preprocessed corrosion image data. Feature extraction is performed on the preprocessed corrosion image data to determine the corrosion characteristic data information of the wind power materials. The corrosion characteristic data information and multi-dimensional sensor data are integrated and analyzed to determine the corrosion monitoring data stream of the wind power materials. This can more comprehensively and accurately reflect the corrosion status of wind power equipment, providing important data support for the maintenance and management of wind power equipment, and further improving the accuracy of corrosion monitoring and anti-corrosion treatment of wind power materials.

[0086] Figure 4 This is a schematic flowchart of a wind power material corrosion monitoring method provided according to embodiments of this disclosure. Figure 4As shown, image sensors and corrosion sensors in a wind power material corrosion monitoring network collect data on wind power materials, acquiring corrosion image data and multi-dimensional sensor data. The corrosion image data and multi-dimensional sensor data are integrated and analyzed to obtain a corrosion monitoring data stream. Based on a pre-defined wind power material corrosion assessment model, the corrosion monitoring data stream is evaluated to obtain corrosion assessment information for the wind power materials. Based on this corrosion assessment information, anti-corrosion treatment is applied to the wind power equipment.

[0087] Figure 5 This is a block diagram of a wind power material corrosion monitoring device provided according to an embodiment of this disclosure. Figure 5 As shown, the wind power material corrosion monitoring device includes an acquisition module 501, an integration module 502, an evaluation module 503, and a processing module 504.

[0088] The acquisition module 501 is used to acquire corrosion image data and multi-dimensional sensing data of wind power materials based on the corrosion monitoring sensor network information of wind power materials in wind power equipment.

[0089] The integration module 502 is used to integrate and analyze corrosion image data and multi-dimensional sensor data to determine the corrosion monitoring data stream of wind power materials;

[0090] The evaluation module 503 is used to evaluate and process the corrosion monitoring data stream based on a preset wind power material corrosion evaluation model to obtain corrosion evaluation information of the wind power material; wherein, the wind power material corrosion evaluation model is a model established based on the material corrosion evaluation factor information;

[0091] Processing module 504 is used to perform anti-corrosion treatment on wind power equipment based on corrosion assessment information.

[0092] As an example, the acquisition module 501 is also used to determine the coverage angle parameter information and the regional environmental characteristic parameter information based on the distribution characteristic information of the wind power materials; determine the corrosion monitoring sensor network information of the wind power materials in the wind power equipment based on the coverage angle parameter information and the regional environmental characteristic parameter information, and use the corrosion monitoring sensor network information of the wind power materials in the wind power equipment to build the corrosion monitoring sensor network of the wind power equipment; and acquire corrosion image data of the wind power materials and multi-dimensional sensor data of the wind power materials based on the corrosion monitoring sensor network information.

[0093] As an example, the acquisition module 501 is also used to determine the distribution area information and regional environmental information of wind power materials based on the distribution characteristic information of wind power materials; to perform coverage angle analysis on the distribution area information to determine the coverage angle parameter information; and to perform feature extraction processing on the regional environmental information to determine the regional environmental feature parameter information.

[0094] As an example, the integration module 502 is also used to preprocess the corrosion image data to obtain preprocessed corrosion image data; extract features from the preprocessed corrosion image data to determine the corrosion characteristic data information of the wind power material; and integrate and analyze the corrosion characteristic data information and multi-dimensional sensing data to determine the corrosion monitoring data stream of the wind power material.

[0095] As an example, the integration module 502 is also used to normalize the corrosion image data to obtain standard corrosion image data; and to filter and denoise the standard corrosion image data to obtain preprocessed corrosion image data.

[0096] As an example, the integration module 502 is also used to perform traversal convolution calculation on the eroded image data according to the preset convolution kernel to obtain the image convolution calculation result; and to determine the erosion feature data information based on the image convolution calculation result.

[0097] As an example, the corrosion assessment information of wind power materials in the assessment module 503 and the processing module 504 includes at least one of the following: corrosion type, corrosion degree, corrosion location, and corrosion trend.

[0098] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0099] Figure 6 This is a block diagram of an electronic device provided according to embodiments of the present disclosure. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0100] like Figure 6As shown, the electronic device includes one or more processors 601, a memory 602, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components are interconnected via different buses and can be mounted on a common motherboard or otherwise as required. The processors can process instructions executed within the electronic device, including instructions stored in or on memory to display graphical information of a GUI on an external input / output device (such as a display device coupled to the interface). In other embodiments, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple electronic devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 6 Take the 601 processor as an example.

[0101] The memory 602 is the non-transitory computer-readable storage medium provided in this disclosure. The memory stores instructions executable by at least one processor to cause the at least one processor to perform the wind power material corrosion monitoring method provided in this disclosure. The non-transitory computer-readable storage medium of this disclosure stores computer instructions for causing a computer to perform the wind power material corrosion monitoring method provided in this disclosure.

[0102] Memory 602, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the wind power material corrosion monitoring method in this disclosure embodiment (e.g., attached...). Figure 5 The acquisition module 501, integration module 502, evaluation module 503, and processing module 504 are shown. The processor 601 executes various server functions and data processing by running non-transient software programs, instructions, and modules stored in the memory 602, thereby realizing the wind power material corrosion monitoring method in the above method embodiments.

[0103] Memory 602 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the electronic device. Furthermore, memory 602 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory 602 may optionally include memory remotely located relative to processor 601, and these remote memories can be connected to the electronic device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0104] The electronic device may further include an input device 603 and an output device 604. The processor 601, memory 602, input device 603, and output device 604 can be connected via a bus or other means. Figure 6 Taking the example of a connection between China and Israel via a bus.

[0105] Input device 603 can receive input numerical or character information, and generate key signal inputs related to user settings and function control of the electronic device, such as touch screens, keypads, mice, trackpads, touchpads, joysticks, one or more mouse buttons, trackballs, joysticks, etc. Output device 604 may include display devices, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibration motors). The display device may include, but is not limited to, liquid crystal displays (LCDs), light-emitting diode (LED) displays, and plasma displays. In some embodiments, the display device may be a touch screen.

[0106] Various implementations of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, application-specific integrated circuits (ASICs), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include: implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transferring data and instructions to the storage system, the at least one input device, and the at least one output device.

[0107] These computational programs (also referred to as programs, software, software applications, or code) include machine instructions for a programmable processor and can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. As used herein, the terms “machine-readable medium” and “computer-readable medium” refer to any computer program product, device, and / or apparatus (e.g., disk, optical disk, memory, programmable logic device (PLD)) used to provide machine instructions and / or data to a programmable processor, including machine-readable media that receive machine instructions as machine-readable signals. The term “machine-readable signal” refers to any signal used to provide machine instructions and / or data to a programmable processor.

[0108] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0109] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), the Internet, and blockchain networks.

[0110] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service ecosystem, addressing the shortcomings of traditional physical hosts and VPS (Virtual Private Server, or simply "VPS") services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0111] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0112] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for monitoring corrosion of wind power materials, characterized in that, include: Based on the corrosion monitoring sensor network information of wind power materials in wind turbine equipment, corrosion image data and multi-dimensional sensor data of the wind power materials are acquired, including: determining the distribution area information and regional environmental information of the wind power materials based on the distribution characteristics of the wind power materials; performing coverage angle analysis on the distribution area information to determine coverage angle parameter information; performing feature extraction processing on the regional environmental information to determine regional environmental feature parameter information; determining the corrosion monitoring sensor network information of the wind power materials in the wind turbine equipment based on the coverage angle parameter information and the regional environmental feature parameter information, wherein the corrosion monitoring sensor network information of the wind power materials in the wind turbine equipment is used to construct the corrosion monitoring sensor network of the wind turbine equipment; and acquiring the corrosion image data and multi-dimensional sensor data of the wind power materials based on the corrosion monitoring sensor network information. The corrosion image data and the multidimensional sensor data are integrated and analyzed to determine the corrosion monitoring data stream of the wind power material. The corrosion monitoring data stream is evaluated and processed based on a pre-set wind power material corrosion assessment model to obtain corrosion assessment information of the wind power material; wherein, the wind power material corrosion assessment model is a model established based on material corrosion assessment factor information; The wind power equipment is subjected to anti-corrosion treatment based on the corrosion assessment information.

2. The method according to claim 1, characterized in that, The process of integrating and analyzing the corrosion image data and the multidimensional sensor data to determine the corrosion monitoring data stream of the wind power materials includes: The corrosion image data is preprocessed to obtain preprocessed corrosion image data; Feature extraction is performed on the preprocessed corrosion image data to determine the corrosion feature data information of the wind power material; The corrosion characteristic data and multidimensional sensor data are integrated and analyzed to determine the corrosion monitoring data stream of the wind power materials.

3. The method according to claim 2, characterized in that, The preprocessing of the corrosion image data to obtain preprocessed corrosion image data includes: The corrosion image data is normalized to obtain standard corrosion image data; The standard corrosion image data is filtered and denoised to obtain preprocessed corrosion image data.

4. The method according to claim 2, characterized in that, The step of extracting features from the preprocessed corrosion image data to determine the corrosion feature data information of the wind power material includes: The eroded image data is subjected to traversal convolution calculation based on a preset convolution kernel to obtain the image convolution calculation result; The corrosion feature data information is determined based on the image convolution calculation results.

5. The method according to any one of claims 1-4, wherein the corrosion assessment information of the wind power material includes at least one of the following: corrosion type, corrosion degree, corrosion location, and corrosion trend.

6. A corrosion monitoring device for wind power materials, characterized in that, include: An acquisition module is used to acquire corrosion image data and multi-dimensional sensor data of wind power materials based on corrosion monitoring sensor network information of wind power materials in wind power equipment. The acquisition module is used to: determine the distribution area information and regional environmental information of the wind power materials based on their distribution characteristics; perform coverage angle analysis on the distribution area information to determine coverage angle parameters; perform feature extraction processing on the regional environmental information to determine regional environmental feature parameters; determine corrosion monitoring sensor network information of the wind power materials in the wind power equipment based on the coverage angle parameters and the regional environmental feature parameters, wherein the corrosion monitoring sensor network information of the wind power materials in the wind power equipment is used to construct the corrosion monitoring sensor network of the wind power equipment; and acquire corrosion image data and multi-dimensional sensor data of the wind power materials based on the corrosion monitoring sensor network information. An integration module is used to integrate and analyze the corrosion image data and the multidimensional sensor data to determine the corrosion monitoring data stream of the wind power material; An evaluation module is used to evaluate and process the corrosion monitoring data stream based on a preset wind power material corrosion evaluation model to obtain corrosion evaluation information of the wind power material; wherein, the wind power material corrosion evaluation model is a model established based on material corrosion evaluation factor information; The processing module is used to perform anti-corrosion treatment on the wind power equipment based on the corrosion assessment information.

7. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.

8. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-5.

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