Wind power material corrosion monitoring method and device

Abstract

The invention provides a wind power material corrosion monitoring method and device, and relates to the technical field of wind power materials, and the specific implementation scheme is as follows: obtaining corrosion image data of a wind power material and multi-dimensional sensing data of the wind power material according to corrosion monitoring sensing network information of the wind power material in wind power equipment; carrying out integration and data analysis processing on the corrosion image data and the multi-dimensional sensing data, and determining a corrosion monitoring data flow of the wind power material; performing evaluation processing on the corrosion monitoring data flow 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 according to material corrosion evaluation factor information; the wind power equipment is subjected to anti-corrosion treatment based on the corrosion evaluation information, so that the timeliness and accuracy of anti-corrosion treatment can be improved, and safe and stable operation of the wind power equipment is guaranteed.

Description

Technical Field

[0001] The present disclosure relates to the technical field of wind power materials, and in particular to a method and device for monitoring corrosion of wind power materials. Background Art

[0002] With the development of the wind power industry, wind turbines are widely used in areas with harsh climates, such as oceans, plateaus, and deserts. These areas are subject to high humidity, high salinity, strong winds, and drastic temperature fluctuations, which can cause corrosion and aging of wind turbine materials in wind turbines, affecting their safe operation. Summary of the Invention

[0003] The present disclosure provides a wind power material corrosion monitoring method and device.

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

[0005] According to the corrosion monitoring sensor network information of wind power materials in wind power equipment, the corrosion image data of wind power materials and the multi-dimensional sensor data of wind power materials are obtained;

[0006] Integrate and analyze corrosion image data and multi-dimensional sensor data to determine the corrosion monitoring data flow of wind power materials;

[0007] 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; wherein the wind power material corrosion assessment model is a model established based on material corrosion assessment factor information;

[0008] Anti-corrosion treatment of wind power equipment is carried out based on corrosion assessment information.

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

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

[0011] Integration module, used to integrate and analyze corrosion image data and multi-dimensional sensor data to determine the corrosion monitoring data flow of wind power materials;

[0012] 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;

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

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

[0015] In some embodiments of the present disclosure, the acquisition module 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; perform coverage angle analysis on the distribution area information to determine the coverage angle parameter information; perform feature extraction processing on the regional environmental information to determine the regional environmental characteristic parameter information.

[0016] In some embodiments of the present disclosure, the integration module is also used to preprocess the corrosion image data to obtain preprocessed corrosion image data; perform feature extraction on 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 sensor data to determine the corrosion monitoring data stream of the wind power material.

[0017] In some embodiments of the present disclosure, the integration module is further used to perform normalization processing on the corrosion image data to obtain standard corrosion image data; and perform filtering and noise reduction processing on the standard corrosion image data to obtain pre-processed corrosion image data.

[0018] In some embodiments of the present disclosure, the integration module is further used to perform traversal convolution calculation on the corrosion image data according to a preset convolution kernel to obtain an image convolution calculation result; and determine corrosion feature data information based on the image convolution calculation result.

[0019] In some embodiments of the present disclosure, the corrosion assessment information of the 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 the present disclosure, there is provided an electronic device, including:

[0021] at least one processor; and

[0022] a memory communicatively connected to at least one processor; wherein,

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

[0024] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable a computer to execute the method of the first aspect.

[0025] The technical solution disclosed in the present invention obtains corrosion image data and multi-dimensional sensor data of wind power materials based on the corrosion monitoring sensor network information of wind power materials in wind power equipment; integrates and performs data analysis on the corrosion image data and multi-dimensional sensor data to determine the corrosion monitoring data stream of wind power materials, thereby improving the timeliness and accuracy of corrosion monitoring of wind power materials in wind power equipment; evaluates and processes the corrosion monitoring data stream based on a preset 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 material corrosion assessment factor information; and performs anti-corrosion treatment on wind power equipment based on the corrosion assessment information, thereby improving the timeliness and accuracy of the anti-corrosion treatment and ensuring the safe and stable operation of wind power equipment.

[0026] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The accompanying drawings are provided to facilitate a better understanding of the present invention and do not constitute a limitation of the present disclosure.

[0028] Figure 1 This is a flow chart of a wind power material corrosion monitoring method provided according to an embodiment of the present disclosure;

[0029] Figure 2 This is a flow chart of a wind power material corrosion monitoring method provided according to an embodiment of the present disclosure;

[0030] Figure 3 This is a flow chart of a wind power material corrosion monitoring method provided according to an embodiment of the present disclosure;

[0031] Figure 4 1 is a flow chart of a method for monitoring wind power material corrosion according to an embodiment of the present disclosure;

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

[0033] Figure 6is a block diagram of an electronic device provided according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0034] The following description of exemplary embodiments of the present disclosure is made in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding. These details should be considered as merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0035] Figure 1 This is a flow chart of a wind power material corrosion monitoring method according to an embodiment of the present disclosure. Figure 1 As shown, the wind power material corrosion monitoring method includes but is not limited to the following steps:

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

[0037] It should be noted that the distribution characteristics of wind turbine materials include their layout, distribution, and configuration. Based on this distribution characteristics, the corrosion monitoring sensor network can be adjusted to comprehensively and accurately monitor the corrosion of wind turbine materials in all wind turbine equipment in real time, acquiring corrosion image data and multi-dimensional sensor data of wind turbine materials.

[0038] It should be noted that the corrosion monitoring sensor network information can be used to construct a wind turbine material corrosion monitoring sensor network. This wind turbine material corrosion monitoring sensor network is used to obtain corrosion image data and multidimensional sensor data of wind turbine materials. Exemplarily, the wind turbine material corrosion monitoring sensor 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 capture images of wind turbine materials. The at least one corrosion sensor is used to collect multidimensional sensor data of wind turbine materials.

[0039] In step S102 , the corrosion image data and the multi-dimensional sensor data are integrated and analyzed to determine the corrosion monitoring data stream of the wind power material.

[0040] It is understandable that comprehensive analysis of corrosion image data and multi-dimensional sensor data can provide a more comprehensive 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 evaluation model to obtain wind power material corrosion evaluation information.

[0042] It should be noted that the material corrosion assessment factor information 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 material corrosion assessment factor information.

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

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

[0045] It should be noted that, in some embodiments, the corrosion status of the wind power equipment can be obtained by analyzing the corrosion assessment information; the wind power equipment is subjected to anti-corrosion treatment according to the corrosion status of the wind power equipment, which can improve the accuracy of the anti-corrosion treatment, so as to ensure the safe operation of the wind power equipment and extend the service life of the wind power equipment.

[0046] In an embodiment of the present disclosure, corrosion image data of wind power materials and multi-dimensional sensor data of wind power materials are obtained based on the corrosion monitoring sensor network information of wind power materials in wind power equipment; the corrosion image data and multi-dimensional sensor data are integrated and data analysis and processing are performed to determine the corrosion monitoring data stream of wind power materials, thereby improving the timeliness and accuracy of corrosion monitoring of wind power materials in wind power equipment; 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 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, the wind power equipment is subjected to anti-corrosion treatment, thereby improving the timeliness and accuracy of the anti-corrosion treatment and ensuring the safe and stable operation of the wind power equipment.

[0047] Figure 2 This is a flow chart of a wind power material corrosion monitoring method according to an embodiment of the present disclosure. Figure 2 As shown, the wind power material corrosion monitoring method includes but is not limited to the following steps:

[0048] In step S201 , coverage angle parameter information and regional environment characteristic parameter information are determined according to distribution characteristic information of wind power materials.

[0049] It should be noted that the distribution characteristic 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 the wind power materials are determined based on the distribution characteristic information of the wind power materials; the coverage angle analysis is performed on the distribution area information to determine the coverage angle parameter information; and the feature extraction processing is performed on the regional environmental information to determine the regional environmental characteristic parameter information.

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

[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 within the wind power material distribution area.

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

[0054] It should be noted that regional environmental characteristic parameter information refers to parameter information that describes the environmental characteristics of wind power materials. The 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 characteristic parameter information. Exemplarily, data cleaning and data standardization processing are performed on the regional environmental information of wind power materials to obtain standardized regional environmental information of wind power materials; at least one piece of environmental characteristic information related to the regional environment of the wind power materials is determined based on the standardized regional environmental information of wind power materials; and feature extraction processing is performed on the at least one piece of environmental characteristic information based on principal component analysis to determine the regional environmental characteristic parameter information.

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

[0057] It should be noted that, based on the coverage angle parameter information and the regional environmental characteristic parameter information, the corrosion monitoring sensor network information of the wind power materials in the wind power equipment is determined. This can focus on covering areas that are more affected by the corrosion of wind power materials, so as to facilitate timely and accurate corrosion monitoring of wind power materials. Exemplarily, based on the coverage angle parameter information, the uncovered area is determined; when the regional environmental characteristic parameter information of the uncovered area is greater than a first threshold, the corrosion monitoring sensor network is adjusted to facilitate corrosion monitoring of the uncovered area; when the regional environmental characteristic parameter information of the uncovered area is less than or equal to the first threshold, the corrosion monitoring sensor network information is determined based on the coverage angle parameter information.

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

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

[0060] It should be noted that the multi-dimensional sensor 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, multi-dimensional measurement processing of wind power materials is performed based on information from the corrosion monitoring sensor network to obtain multi-dimensional sensor data of the wind power materials.

[0061] In step S204, the corrosion image data and the multi-dimensional sensor data are integrated and analyzed to determine the corrosion monitoring data flow of the wind power material.

[0062] In the embodiment of the present disclosure, step S204 can be implemented in any of the ways in the embodiments of the present disclosure, which is not limited in the embodiment of the present disclosure and will not be described in detail.

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

[0064] In the embodiment of the present disclosure, step S205 can be implemented in any of the ways in the embodiments of the present disclosure, which is not limited in the embodiment of the present disclosure and will not be described in detail.

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

[0066] In the embodiment of the present disclosure, step S206 can be implemented in any of the ways in the embodiments of the present disclosure, which is not limited in the embodiment of the present disclosure and will not be described in detail.

[0067] In an embodiment of the present disclosure, coverage angle parameter information and regional environmental characteristic parameter information are determined based on the distribution characteristic information of wind power materials. Based on the coverage angle parameter information and regional environmental characteristic parameter information, corrosion monitoring sensor network information of wind power materials in wind power equipment is determined, and the corrosion monitoring sensor network information of wind power materials in wind power equipment is used to build a corrosion monitoring sensor network for wind power equipment. Based on the corrosion monitoring sensor network information, corrosion image data of wind power materials and multi-dimensional sensor data of wind power materials are obtained. This ensures comprehensive and effective corrosion monitoring of wind power materials, improves the timeliness and accuracy of wind power material corrosion monitoring, facilitates timely and accurate anti-corrosion treatment of wind power equipment, and ensures the safe and stable operation of wind power equipment.

[0068] Figure 3 This is a flow chart of a wind power material corrosion monitoring method according to an embodiment of the present disclosure. Figure 3 As shown, the wind power material corrosion monitoring method includes but is not limited to the following steps:

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

[0070] In the embodiment of the present disclosure, step S301 can be implemented in any of the ways in the embodiments of the present disclosure, which is not limited in the embodiment of the present disclosure and will not be described in detail.

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

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

[0073] Optionally, in some embodiments, the corrosion image data is normalized to obtain standard corrosion image data; and the standard corrosion image data is filtered and denoised to obtain pre-processed corrosion image data. Exemplarily, the corrosion image data is normalized to obtain standard corrosion image data; and the corrosion image data is filtered and denoised based on a Gaussian filter to obtain pre-processed corrosion image data.

[0074] In step S303, feature extraction is performed on the pre-processed corrosion image data to determine corrosion feature data information of wind power materials.

[0075] It should be noted that the wind power equipment application quality standards refer to quality standards and specifications formulated based on the operation and application characteristics of wind power equipment. For example, a preset convolution kernel is determined based on the wind power equipment application quality standards, so that more accurate corrosion feature data information can be obtained.

[0076] Optionally, in some embodiments, a convolution operation is performed on the corrosion image data using a preset convolution kernel to obtain an image convolution calculation result; and corrosion feature data information is determined based on the image convolution calculation result. Exemplarily, a convolution operation is performed on each pixel in the corrosion image data using a preset convolution kernel to obtain an image convolution calculation result; and the image convolution calculation result is analyzed and feature extracted to determine the corrosion feature data information.

[0077] In step S304, the corrosion characteristic data information and the multi-dimensional sensor data are integrated and analyzed to determine the corrosion monitoring data flow of the wind power material.

[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 wind power material corrosion evaluation information.

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

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

[0081] Optionally, in some embodiments, the wind power material corrosion assessment model is trained to obtain a preset wind power material corrosion assessment model. The specific implementation method can be: based on big data acquisition technology, relevant data corresponding to the material corrosion assessment factor information is 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 verification 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 verification set, the wind power material corrosion assessment model is trained to obtain a preset wind power material corrosion assessment model.

[0082] Exemplarily, relevant data corresponding to material corrosion assessment factor information is collected based on big data collection technology to obtain a wind power material corrosion database; the wind power material corrosion database is classified and integrated based on the material corrosion assessment factor information 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 verification set; linear regression training is performed on a wind power material corrosion assessment model 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 verification set to obtain a preset wind power material corrosion assessment model.

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

[0084] In the embodiment of the present disclosure, step S306 can be implemented in any of the ways in the embodiments of the present disclosure, which is not limited in the embodiment of the present disclosure and will not be described in detail.

[0085] In the disclosed embodiments, corrosion image data is preprocessed to obtain preprocessed corrosion image data. Feature extraction is performed on the preprocessed corrosion image data to determine corrosion characteristic data information for wind turbine materials. This corrosion characteristic data information and multi-dimensional sensor data are integrated and analyzed to determine a corrosion monitoring data stream for wind turbine materials. This more comprehensively and accurately reflects the corrosion status of wind turbine equipment, provides important data support for wind turbine equipment maintenance and management, and further improves the accuracy of corrosion monitoring and anti-corrosion treatment for wind turbine materials.

[0086] Figure 4 FIG. 1 is a flow chart of a wind power material corrosion monitoring method according to an embodiment of the present disclosure. Figure 4As shown, image sensors and corrosion sensors in the wind turbine material corrosion monitoring network collect data on wind turbine materials, obtaining corrosion image data and multi-dimensional sensor data. The corrosion image data and multi-dimensional sensor data are integrated and analyzed to generate a corrosion monitoring data stream. The corrosion monitoring data stream is evaluated and processed based on a pre-set wind turbine material corrosion assessment model to obtain corrosion assessment information for the wind turbine materials. Anti-corrosion treatment is then performed on wind turbine equipment based on this corrosion assessment information.

[0087] Figure 5 FIG. 1 is a block diagram of a wind power material corrosion monitoring device according to an embodiment of the present 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 of wind power materials and multi-dimensional sensing data of wind power materials based on the corrosion monitoring sensor network information of wind power materials in the wind power equipment.

[0089] Integration module 502, for integrating and analyzing the corrosion image data and the multi-dimensional sensor data to determine the corrosion monitoring data stream of the wind power material;

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

[0091] The processing module 504 is configured to perform anti-corrosion processing on the wind power equipment based on the 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 the corrosion monitoring sensor network information of the wind power materials in the wind power equipment is used to build a corrosion monitoring sensor network for the wind power equipment; and obtain the corrosion image data of the wind power materials and the 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; perform coverage angle analysis on the distribution area information to determine coverage angle parameter information; perform feature extraction processing on the regional environmental information to determine regional environmental characteristic 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; perform feature extraction on the preprocessed corrosion image data to determine the corrosion feature data information of the wind power material; integrate and analyze the corrosion feature data information and multi-dimensional sensor data to determine the corrosion monitoring data flow of the wind power material.

[0095] As an example, the integration module 502 is further configured to perform normalization processing on the corrosion image data to obtain standard corrosion image data; and perform filtering and noise reduction processing on the standard corrosion image data to obtain pre-processed corrosion image data.

[0096] As an example, the integration module 502 is further configured to perform a traversal convolution calculation on the corrosion image data according to a preset convolution kernel to obtain an image convolution calculation result; and determine corrosion feature data information according to the image convolution calculation result.

[0097] As an example, the corrosion assessment information of the 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 embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0099] Figure 6 is a block diagram of an electronic device provided according to an embodiment 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 assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are provided for example only 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 various components, including high-speed interfaces and low-speed interfaces. The various components are connected to each other using different buses and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the electronic device, including instructions stored in or on the 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, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple electronic devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 6 A processor 601 is taken as an example.

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

[0102] The memory 602 is a non-transient computer-readable storage medium that can be used to store non-transient software programs, non-transient computer executable programs and modules, such as the program instructions / modules corresponding to the wind power material corrosion monitoring method in the embodiment of the present disclosure (for example, the attached Figure 5 The processor 601 executes the non-transient software programs, instructions, and modules stored in the memory 602 to execute various functional applications and data processing of the server, thereby implementing the wind power material corrosion monitoring method in the above method embodiment.

[0103] The memory 602 may include a program storage area and a data storage area, wherein the program storage area may store an 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, etc. In addition, the memory 602 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory 602 may optionally include a memory remotely located relative to the processor 601, and these remote memories may be connected to the electronic device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0104] The electronic device may further include: an input device 603 and an output device 604. The processor 601, the memory 602, the input device 603 and the output device 604 may be connected via a bus or other means. Figure 6 The bus connection is taken as an example.

[0105] The input device 603 can receive input digital or character information and generate key signal input related to user settings and function control of the electronic device, such as input devices such as a touch screen, a keypad, a mouse, a trackpad, a touch pad, an indicator stick, one or more mouse buttons, a trackball, and a joystick. The output device 604 may include a display device, an auxiliary lighting device (e.g., an LED), and a tactile feedback device (e.g., a vibration motor). The display device may include, but is not limited to, a liquid crystal display (LCD), a light emitting diode (LED) display, and a plasma display. In some embodiments, the display device may be a touch screen.

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

[0107] These computer 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, apparatus, and / or device (e.g., a magnetic disk, an optical disk, a memory, a programmable logic device (PLD)) for providing machine instructions and / or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal for providing 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 (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the 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 acoustic input, voice input, or tactile input).

[0109] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), the Internet, and a blockchain network.

[0110] A computer system may include a client and a server. The client and server are generally remote from each other and typically interact via a communication network. This client-server relationship is established by computer programs running on the respective computers, establishing a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host, a host product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosts and VPS services ("Virtual Private Servers" or simply "VPS"). The server may also be a server in a distributed system or a server integrated with blockchain.

[0111] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this disclosure can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved. This is not limited herein.

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

Claims

1. A wind power material corrosion monitoring method, characterized in that: include: Acquire corrosion image data of the wind power material and multi-dimensional sensor data of the wind power material according to corrosion monitoring sensor network information of the wind power material in the wind power equipment; Integrating and performing data analysis on the corrosion image data and the multi-dimensional sensor data to determine a corrosion monitoring data stream for the wind power material; 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; wherein the wind power material corrosion evaluation model is a model established based on material corrosion evaluation factor information; Anti-corrosion treatment is performed on the wind power equipment based on the corrosion assessment information.

2. The method according to claim 1, characterized in that The step of obtaining the corrosion image data and multi-dimensional sensing data of the wind power materials according to the corrosion monitoring sensor network information of the wind power materials in the wind power equipment includes: Determining coverage angle parameter information and regional environmental characteristic parameter information based on the distribution characteristic information of the wind power materials; Determining, based on the coverage angle parameter information and the regional environmental characteristic parameter information, corrosion monitoring sensor network information of wind power materials in the wind power equipment, wherein the corrosion monitoring sensor network information of the wind power materials in the wind power equipment is used to establish a corrosion monitoring sensor network for the wind power equipment; According to the corrosion monitoring sensor network information, the corrosion image data of the wind power material and the multi-dimensional sensor data of the wind power material are obtained.

3. The method according to claim 2, characterized in that The determining of coverage angle parameter information and regional environment characteristic parameter information based on the distribution characteristic information of the wind power materials includes: Determining distribution area information and regional environmental information of the wind power materials based on the distribution characteristic information of the wind power materials; Performing coverage angle analysis on the distribution area information to determine coverage angle parameter information; Perform feature extraction processing on the regional environment information to determine the regional environment feature parameter information.

4. The method according to claim 1, wherein The integrating and analyzing the corrosion image data and the multi-dimensional sensor data to determine the corrosion monitoring data stream of the wind power material includes: Preprocessing the corrosion image data to obtain preprocessed corrosion image data; Performing feature extraction on the pre-processed corrosion image data to determine corrosion feature data information of the wind power material; The corrosion characteristic data information and the multi-dimensional sensor data are integrated and analyzed to determine the corrosion monitoring data flow of the wind power material.

5. The method according to claim 4, characterized in that The preprocessing of the corrosion image data to obtain preprocessed corrosion image data includes: performing normalization processing on the corrosion image data to obtain standard corrosion image data; The standard corrosion image data is subjected to filtering and noise reduction processing to obtain pre-processed corrosion image data.

6. The method according to claim 4, characterized in that The performing feature extraction on the pre-processed corrosion image data to determine the corrosion feature data information of the wind power material includes: Performing a traversal convolution calculation on the eroded image data according to a preset convolution kernel to obtain an image convolution calculation result; The corrosion feature data information is determined according to the image convolution calculation result.

7. The method according to any one of claims 1-6, wherein the corrosion assessment information of the wind power material comprises at least one of the following: corrosion type, corrosion degree, corrosion location, and corrosion trend.

8. A wind power material corrosion monitoring device, characterized in that: include: An acquisition module, configured to acquire corrosion image data of the wind power material and multi-dimensional sensing data of the wind power material according to corrosion monitoring sensor network information of the wind power material in the wind power equipment; An integration module, configured to integrate and analyze the corrosion image data and the multi-dimensional sensor data to determine a corrosion monitoring data stream for the wind power material; An evaluation module, configured 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; A processing module is used to perform anti-corrosion processing on the wind power equipment based on the corrosion assessment information.

9. 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, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 7.

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