Wind farm operation and maintenance system, method and electronic equipment based on multi-dimensional perception

Abstract

The present application relates to the field of data processing, and discloses a wind farm operation and maintenance system, method and electronic device based on multi-dimensional perception, the system includes a data collection module, a data processing module, a cost operation and maintenance module and a safety operation and maintenance module. The method and the electronic device both correspond to the system. In the present application, the data collection module is used to collect multi-dimensional data of the wind farm, the data processing module analyzes the multi-dimensional data to obtain the perception results, the cost operation and maintenance module performs life cycle cost management of the wind farm based on the perception results, and the safety operation and maintenance module performs safety supervision and early warning on the operation of each module, thereby realizing comprehensive operation and maintenance management of the wind farm, improving the grasp of the operation of the wind farm through multi-dimensional perception, accurately controlling costs and ensuring safe and stable operation of the system, providing strong support for the efficient and reliable operation of the wind farm, effectively improving the utilization efficiency and economic benefits of wind energy resources, and reducing operational risks.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and specifically to a wind farm operation and maintenance system, method and electronic equipment based on multi-dimensional perception. Background Art

[0002] In today's energy field, wind energy has attracted much attention as a clean and renewable energy source. The construction and operation scale of wind farms are constantly expanding, but there are still some problems with the existing wind farm operation and maintenance technology, specifically:

[0003] The data collection of many wind farms is relatively simple, which makes it difficult to fully reflect the operation of wind farms. This leads to inaccurate evaluation of the operation status of wind farms and failure to detect potential problems in a timely manner. In terms of data processing, traditional methods often lack the ability to comprehensively analyze multi-dimensional data, making it difficult to achieve accurate multi-dimensional perception. For example, it is impossible to effectively combine equipment operating parameters, meteorological data, etc. to conduct fault risk assessment and power generation efficiency analysis, which makes operation and maintenance decisions lack scientific basis.

[0004] In terms of cost operation and maintenance, the existing management methods are usually extensive and lack systematic management of the life cycle cost of wind farms. It is impossible to accurately estimate the costs under different operation and maintenance strategies, resulting in waste of resources and cost overruns. At the same time, there are also deficiencies in safe operation and maintenance, and there is a lack of effective safety monitoring and early warning systems. Equipment failures, environmental safety hazards, and improper operation of personnel cannot be discovered in a timely manner. Once a safety accident occurs, the emergency response capability is limited, which brings great risks to the stable operation of wind farms.

[0005] In summary, a new wind farm operation and maintenance technology is urgently needed to improve the operating efficiency of wind farms, reduce costs and ensure safety. Summary of the invention

[0006] The purpose of this application is to provide a security data identification method and system based on natural language technology to solve the technical problems raised in the above background technology.

[0007] To achieve the above objectives, this application discloses the following technical solutions:

[0008] In a first aspect, the present application discloses a wind farm operation and maintenance system based on multi-dimensional perception, the system comprising a data collection module, a data processing module, a cost operation and maintenance module and a safety operation and maintenance module; the data collection module is communicatively connected to the data processing module, the data processing module is communicatively connected to the cost operation and maintenance module, and the data collection module, the data processing module and the cost operation and maintenance are all communicatively connected to the safety operation and maintenance module;

[0009] The data acquisition module is used to collect multi-dimensional data of the wind farm; wherein the multi-dimensional data is used to characterize the operation status of the wind farm;

[0010] The data processing module is used to perform multi-dimensional perception of the wind farm; wherein the multi-dimensional perception is to analyze the multi-dimensional data and obtain corresponding perception results;

[0011] The cost operation and maintenance module is used to perform cost control of the wind farm based on the sensing result; wherein the cost control is to manage the life cycle cost;

[0012] The safety operation and maintenance module is used to perform safety supervision on the operation of the data acquisition module, the data processing module and the cost processing module and to issue corresponding warnings.

[0013] Preferably, the data acquisition module uses various sensors preset in the wind farm to collect the multi-dimensional data;

[0014] The multi-dimensional data at least includes fault data, operating parameters and meteorological data.

[0015] Preferably, the data processing module is configured to: utilize the multidimensional data to perform multidimensional perception corresponding to the multidimensional data based on a preset algorithm library;

[0016] The algorithm library includes at least a machine learning algorithm and a statistical analysis algorithm.

[0017] Preferably, the operation process of the data processing module specifically includes the following steps:

[0018] A1: performing data preprocessing, wherein the data preprocessing at least includes data cleaning;

[0019] A2: Calling a corresponding algorithm in the algorithm library to perform multi-dimensional perception on the multi-dimensional data after data preprocessing;

[0020] A3: Generate the corresponding perception result based on the multi-dimensional perception of step A2; wherein the perception result at least includes equipment failure risk and power generation efficiency;

[0021] A4: Transmit the perception results to the cost operation and maintenance module and the security operation and maintenance module.

[0022] Preferably, the cost operation and maintenance module is configured to: use a preset life cycle cost model to perform cost analysis based on the perception results, and generate a corresponding cost control strategy, wherein the cost control strategy is used to perform cost-side operation and maintenance of the wind farm.

[0023] Preferably, the operation process of the cost operation and maintenance module specifically includes:

[0024] To run the life cycle cost model perform the following steps:

[0025] B1: receiving the perception result;

[0026] B2: Conduct cost estimation of wind farms;

[0027] B3: Conduct cost analysis based on the cost estimate, simulate and evaluate the impact of different cost control strategies on costs;

[0028] B4: Select and output the corresponding cost control strategy based on the result of the cost analysis in step B3;

[0029] B5: Execute the cost control strategy and continuously monitor the costs generated during the operation of the wind farm.

[0030] Preferably, the safety operation and maintenance module is configured to: perform safety supervision of the wind farm based on a preset sensor network and video monitoring network, and issue corresponding early warnings.

[0031] Preferably, the operation process of the security operation and maintenance module specifically includes the following steps:

[0032] C1: Real-time monitoring of the operation of the data acquisition module, the data processing module and the cost operation and maintenance module, the monitoring scope at least includes equipment operation parameters, network security status and personnel operation behavior;

[0033] C2: Conduct risk assessment based on the real-time monitoring in step C1 and identify corresponding safety hazards;

[0034] C3: Issue an early warning based on the potential safety hazard obtained in step C2, and call the corresponding preset emergency management method for output.

[0035] In a second aspect, the present application discloses a wind farm operation and maintenance method based on multi-dimensional perception, which is applicable to the wind farm operation and maintenance method based on multi-dimensional perception as described above, and comprises:

[0036] S1: Collecting multi-dimensional data of the wind farm; wherein the multi-dimensional data is used to characterize the operation status of the wind farm;

[0037] S2: Perform multi-dimensional perception of the wind farm; wherein the multi-dimensional perception is to analyze the multi-dimensional data and obtain corresponding perception results;

[0038] S3: performing cost control of the wind farm based on the sensing result; wherein the cost control is managing the life cycle cost;

[0039] S3: Perform safety supervision on the operation of steps S1 to S3 and issue corresponding warnings.

[0040] In a third aspect, the present application discloses an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the wind farm operation and maintenance method based on multi-dimensional perception as described above is implemented.

[0041] Beneficial effects: The wind farm operation and maintenance system, method and electronic equipment based on multi-dimensional perception of the present application use a data collection module to collect multi-dimensional data of the wind farm, a data processing module analyzes the multi-dimensional data to obtain perception results, a cost operation and maintenance module performs life cycle cost management of the wind farm based on the perception results, and a safety operation and maintenance module performs safety supervision and early warning on the operation of each module, thereby realizing comprehensive operation and maintenance management of the wind farm, improving the grasp of the operation status of the wind farm through multi-dimensional perception, accurately controlling costs and ensuring safe and stable operation of the system, providing strong support for the efficient and reliable operation of the wind farm, effectively improving the utilization efficiency and economic benefits of wind energy resources, and reducing operational risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0043] Figure 1 A schematic diagram of the structure of a wind farm operation and maintenance system based on multi-dimensional perception provided in an embodiment of the present application;

[0044] Figure 2 A schematic flow chart of a wind farm operation and maintenance method based on multi-dimensional perception provided in an embodiment of the present application. DETAILED DESCRIPTION

[0045] The technical solutions in the embodiments of the present application are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0046] In this article, the term "comprising" is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprising..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0047] The first aspect of this embodiment discloses Figure 1 A wind farm operation and maintenance system based on multi-dimensional perception is shown, the system includes a data collection module, a data processing module, a cost operation and maintenance module and a safety operation and maintenance module; the data collection module is communicatively connected with the data processing module, the data processing module is communicatively connected with the cost operation and maintenance module, and the data collection module, the data processing module and the cost operation and maintenance are all communicatively connected with the safety operation and maintenance module;

[0048] The data acquisition module is used to collect multi-dimensional data of the wind farm; wherein the multi-dimensional data is used to characterize the operation status of the wind farm;

[0049] The data processing module is used for multi-dimensional perception of the wind farm; wherein, multi-dimensional perception is to analyze multi-dimensional data and obtain corresponding perception results;

[0050] The cost operation and maintenance module is used to control the cost of the wind farm based on the perception results; among them, cost control is to manage the life cycle cost;

[0051] The security operation and maintenance module is used to conduct security supervision on the operation of the data acquisition module, data processing module and cost processing module and to issue corresponding early warnings.

[0052] Based on the above, this embodiment uses the data collection module to collect multi-dimensional data of the wind farm, the data processing module analyzes the multi-dimensional data to obtain the perception results, the cost operation and maintenance module performs life cycle cost management of the wind farm based on the perception results, and the safety operation and maintenance module performs safety supervision and early warning on the operation of each module, thereby realizing comprehensive operation and maintenance management of the wind farm, improving the grasp of the operation status of the wind farm through multi-dimensional perception, accurately controlling costs and ensuring safe and stable operation of the system, providing strong support for the efficient and reliable operation of the wind farm, effectively improving the utilization efficiency and economic benefits of wind energy resources, and reducing operational risks.

[0053] Specifically, the data acquisition module uses various sensors preset in the wind farm to collect multi-dimensional data;

[0054] The multidimensional data at least includes fault data, operating parameters and meteorological data.

[0055] In a specific application, the sensors installed in this embodiment at different positions of the wind turbines collect various operating parameters of the wind turbines, such as wind speed, wind direction, rotation speed, temperature, vibration, etc., and collect electrical parameters of the substation equipment, including voltage, current, power factor, etc. Furthermore, the existing monitoring technology is used to remotely visualize and monitor all wind turbines and equipment in the wind farm.

[0056] Based on the above, this embodiment utilizes distributed sensors preset in the wind farm to collect multi-dimensional data, including fault data, operating parameters, meteorological data, etc., thereby achieving comprehensive acquisition of various key data of wind farm operation, providing an accurate and rich information basis for subsequent data processing and operation and maintenance decisions, and ensuring accurate assessment of the operating status of the wind farm and timely discovery of potential problems.

[0057] Specifically, the data processing module is configured to: utilize the multidimensional data to perform multidimensional perception corresponding to the multidimensional data based on a preset algorithm library;

[0058] The algorithm library includes at least machine learning algorithms and statistical analysis algorithms.

[0059] It should be noted that this embodiment uses existing machine learning algorithms and statistical analysis algorithms for multi-dimensional perception. For example, deep learning algorithms, etc., use multi-dimensional data, including fault data, operating parameters, meteorological data, etc., through deep learning and pattern recognition of a large amount of data, to predict the possible fault type and time of the equipment in advance, and provide sufficient warning time for operation and maintenance personnel to arrange preventive maintenance. In a specific application, for example, the vibration data, temperature data, and meteorological data such as wind speed and direction of the fan are combined to analyze the change trend of the operating state of the equipment under different meteorological conditions. When a specific meteorological combination occurs, if the vibration or temperature parameters show a specific change pattern, the system can predict possible faults, such as bearing wear, blade damage, etc. Further, according to the specific operating conditions and historical maintenance records of each fan, a personalized maintenance plan is formulated. Different fans have different maintenance requirements in different geographical locations, operating environments, and service life. Through the analysis of multi-dimensional data, a maintenance strategy can be tailored for each fan to improve the pertinence and effectiveness of maintenance. In a specific application, for example, for wind turbines that are often in strong wind environments, the inspection and maintenance frequency of blades and towers can be increased; for wind turbines with a long operating life, focus on the aging problems of electrical systems and mechanical transmission components, and replace and upgrade them in a timely manner.

[0060] Based on the above, this embodiment utilizes multidimensional data and a preset algorithm library, which includes at least a machine learning algorithm and a statistical analysis algorithm for multidimensional perception, thereby realizing in-depth analysis and mining of multidimensional data of wind farms, accurately evaluating the operating status of wind farms, and providing a scientific basis for cost control and safe operation and maintenance.

[0061] Specifically, the operation process of the data processing module includes the following steps:

[0062] A1: Perform data preprocessing, which at least includes data cleaning;

[0063] A2: Call the corresponding algorithm in the algorithm library to perform multi-dimensional perception on the multi-dimensional data after data preprocessing;

[0064] A3: Generate corresponding perception results based on the multi-dimensional perception in step A2; wherein the perception results at least include equipment failure risk and power generation efficiency;

[0065] A4: Transmit the perception results to the cost operation and maintenance module and the security operation and maintenance module.

[0066] It should be noted that this embodiment uses existing data preprocessing technology for preprocessing, and stores and manages a large amount of collected operating data. For example, it can determine whether there is an abnormality in the fan bearing by monitoring the changes in the vibration signal; analyze the temperature data to determine whether the electrical equipment is overheated, etc.

[0067] Based on the above, this embodiment uses steps such as data preprocessing, algorithm calling and result generation to clean the multidimensional data and then calls the corresponding algorithm in the algorithm library for multidimensional perception, generates and transmits perception results including equipment failure risk and power generation efficiency, thereby achieving efficient and accurate multidimensional perception of wind farms, and providing timely and effective data support for subsequent cost operation and maintenance and safety operation and maintenance.

[0068] Specifically, the cost operation and maintenance module is configured as follows: using a preset life cycle cost model to perform cost analysis based on the perception results, and generating a corresponding cost control strategy, which is used to perform cost-side operation and maintenance of the wind farm.

[0069] It should be noted that this embodiment uses existing model technology to build a life cycle cost model.

[0070] Based on the above, this embodiment uses a preset life cycle cost model to perform cost analysis based on perception results, and generates a cost control strategy for wind farm cost-side operation and maintenance, thereby achieving comprehensive management and control of wind farm costs and improving the economic benefits of wind farms.

[0071] Specifically, the operation process of the cost operation and maintenance module includes:

[0072] To run a life cycle cost model, perform the following steps:

[0073] B1: receiving the perception results;

[0074] B2: Conduct cost estimation of wind farms;

[0075] B3: Conduct cost analysis based on cost estimates, simulate and evaluate the impact of different cost control strategies on costs;

[0076] B4: Select and output the corresponding cost control strategy based on the cost analysis results of step B3;

[0077] B5: Implement cost control strategies and continuously monitor the costs incurred during the operation of the wind farm.

[0078] In a specific application, this embodiment estimates the cost of a wind farm using data such as equipment procurement cost, installation cost, operation and maintenance cost, fault repair cost, and decommissioning disposal cost. For example, future maintenance costs are predicted based on equipment failure risk assessment results, energy output benefits are estimated in combination with power generation efficiency assessment results, and the estimated costs are analyzed using existing cost analysis tools to evaluate the impact of different operation and maintenance strategies on costs. For example, the cost differences between scheduled maintenance and condition-based maintenance strategies are compared, the cost-effectiveness of equipment upgrades is analyzed, and cost control strategies are formulated based on cost analysis results, such as optimizing maintenance plans, reasonably arranging equipment replacement time, reducing energy consumption, etc. Under the condition of continuous cost monitoring, cost overruns are discovered in a timely manner, and corresponding measures are taken to make adjustments.

[0079] Based on the above, this embodiment uses the life cycle cost model to receive perception results, perform cost estimation, analyze the impact of different cost control strategies, select and output strategies, and continuously monitor costs, thereby achieving accurate cost management and ensuring that the wind farm can effectively control costs and improve resource utilization efficiency during operation.

[0080] Specifically, the safety operation and maintenance module is configured to: perform safety supervision of the wind farm based on a preset sensor network and video monitoring network, and issue corresponding early warnings.

[0081] It should be noted that this embodiment utilizes the existing sensor network and video monitoring network to perform safety supervision on the wind farm.

[0082] Based on the above, this embodiment utilizes the preset sensor network and video monitoring network to perform wind farm safety supervision and early warning, thereby achieving all-round safety monitoring of the wind farm, timely discovering safety hazards, and ensuring the safe and stable operation of the wind farm.

[0083] Specifically, the operation process of the security operation and maintenance module includes the following steps:

[0084] C1: Real-time monitoring of the operation of the data acquisition module, data processing module and cost operation and maintenance module. The monitoring scope shall at least include equipment operation parameters, network security status and personnel operation behavior;

[0085] C2: Conduct risk assessment based on the real-time monitoring in step C1 and identify corresponding safety hazards;

[0086] C3: Issue an early warning based on the potential safety hazard obtained in step C2, and call the corresponding preset emergency management method for output.

[0087] Based on the above, this embodiment utilizes real-time monitoring of the operation of each module, risk assessment, warning issuance and calling of emergency management methods, so as to timely discover safety hazards and take corresponding measures, improve the safety emergency response capability of the wind farm, and reduce safety risks.

[0088] In a specific application, the risk assessment of this embodiment can be to analyze abnormal changes in equipment operating parameters to determine whether there is a risk of equipment failure, or to monitor network traffic to prevent network attacks. When the security risk exceeds the set threshold, the early warning system automatically sends out an early warning signal to notify relevant personnel to take measures. The early warning content should include information such as risk type, location, and severity.

[0089] The second aspect of this embodiment discloses Figure 2 A wind farm operation and maintenance method based on multi-dimensional perception is shown, which is applicable to the wind farm operation and maintenance method based on multi-dimensional perception as above, and the method includes:

[0090] S1: collecting multi-dimensional data of the wind farm; wherein the multi-dimensional data is used to characterize the operation status of the wind farm;

[0091] S2: Perform multi-dimensional perception of the wind farm; wherein the multi-dimensional perception is to analyze the multi-dimensional data and obtain corresponding perception results;

[0092] S3: Perform cost control of the wind farm based on the perception results; cost control is to manage the life cycle cost;

[0093] S3: Perform safety supervision on the operation of steps S1 to S3 and issue corresponding warnings.

[0094] It should be noted that the wind farm operation and maintenance method based on multi-dimensional perception of this embodiment corresponds to the aforementioned wind farm operation and maintenance system based on multi-dimensional perception. Therefore, the wind farm operation and maintenance system based on multi-dimensional perception of this embodiment does not make a specific description. The function definition, working principle and technical effects, etc. can all refer to the aforementioned wind farm operation and maintenance system based on multi-dimensional perception, and this text will not go into details here.

[0095] The third aspect of this embodiment discloses an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the wind farm operation and maintenance method based on multi-dimensional perception as described above is implemented.

[0096] Similarly, it should be noted that the electronic device of this embodiment corresponds to the aforementioned wind farm operation and maintenance system based on multi-dimensional perception. Therefore, the electronic device of this embodiment is not specifically described, and the function definition, working principle and technical effect, etc. can refer to the aforementioned wind farm operation and maintenance system based on multi-dimensional perception, and this text will not go into details here.

[0097] In summary, the wind farm operation and maintenance system, method and electronic equipment based on multi-dimensional perception of the present embodiment use a data collection module to collect multi-dimensional data of the wind farm, a data processing module analyzes the multi-dimensional data to obtain perception results, a cost operation and maintenance module performs life cycle cost management of the wind farm based on the perception results, and a safety operation and maintenance module performs safety supervision and early warning on the operation of each module, thereby realizing comprehensive operation and maintenance management of the wind farm, improving the understanding of the operation status of the wind farm through multi-dimensional perception, accurately controlling costs and ensuring safe and stable operation of the system, providing strong support for the efficient and reliable operation of the wind farm, effectively improving the utilization efficiency and economic benefits of wind energy resources, and reducing operational risks.

[0098] In the embodiments provided in the present application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic units designed to implement the functions described herein or their combination. For software implementation, part or all of the flow of the embodiment can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a computer can access. The computer-readable storage medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer.

[0099] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A wind farm operation and maintenance system based on multi-dimensional perception, characterized in that: The system includes a data collection module, a data processing module, a cost operation and maintenance module and a safety operation and maintenance module; the data collection module is communicatively connected to the data processing module, the data processing module is communicatively connected to the cost operation and maintenance module, and the data collection module, the data processing module and the cost operation and maintenance are all communicatively connected to the safety operation and maintenance module; The data acquisition module is used to collect multi-dimensional data of the wind farm; wherein the multi-dimensional data is used to characterize the operation status of the wind farm; The data processing module is used to perform multi-dimensional perception of the wind farm; wherein the multi-dimensional perception is to analyze the multi-dimensional data and obtain corresponding perception results; The cost operation and maintenance module is used to perform cost control of the wind farm based on the sensing result; wherein the cost control is to manage the life cycle cost; The safety operation and maintenance module is used to perform safety supervision on the operation of the data acquisition module, the data processing module and the cost processing module and to issue corresponding warnings.

2. The wind farm operation and maintenance system based on multi-dimensional perception according to claim 1 is characterized in that: The data acquisition module uses various sensors preset in the wind farm to collect the multi-dimensional data; The multi-dimensional data at least includes fault data, operating parameters and meteorological data.

3. The wind farm operation and maintenance system based on multi-dimensional perception according to claim 1 is characterized in that: The data processing module is configured to: utilize the multi-dimensional data to perform multi-dimensional perception corresponding to the multi-dimensional data based on a preset algorithm library; The algorithm library includes at least a machine learning algorithm and a statistical analysis algorithm.

4. The wind farm operation and maintenance system based on multi-dimensional perception according to claim 3 is characterized in that: The operation process of the data processing module specifically includes the following steps: A1: performing data preprocessing, wherein the data preprocessing at least includes data cleaning; A2: Calling a corresponding algorithm in the algorithm library to perform multi-dimensional perception on the multi-dimensional data after data preprocessing; A3: Generate the corresponding perception result based on the multi-dimensional perception of step A2; wherein the perception result at least includes equipment failure risk and power generation efficiency; A4: Transmit the perception results to the cost operation and maintenance module and the security operation and maintenance module.

5. The wind farm operation and maintenance system based on multi-dimensional perception according to claim 1, characterized in that: The cost operation and maintenance module is configured to: use a preset life cycle cost model to perform cost analysis based on the perception results, and generate a corresponding cost control strategy, wherein the cost control strategy is used to perform cost-side operation and maintenance of the wind farm.

6. The wind farm operation and maintenance system based on multi-dimensional perception according to claim 5 is characterized in that: The operation process of the cost operation and maintenance module specifically includes: To run the life cycle cost model perform the following steps: B1: receiving the perception result; B2: Conduct cost estimation of wind farms; B3: Conduct cost analysis based on the cost estimate, simulate and evaluate the impact of different cost control strategies on costs; B4: Select and output the corresponding cost control strategy based on the result of the cost analysis in step B3; B5: Execute the cost control strategy and continuously monitor the costs generated during the operation of the wind farm.

7. The wind farm operation and maintenance system based on multi-dimensional perception according to claim 1, characterized in that: The safety operation and maintenance module is configured to: perform safety supervision of the wind farm based on a preset sensor network and video monitoring network, and issue corresponding early warnings.

8. The wind farm operation and maintenance system based on multi-dimensional perception according to claim 7 is characterized in that: The operation process of the security operation and maintenance module specifically includes the following steps: C1: Real-time monitoring of the operation of the data acquisition module, the data processing module and the cost operation and maintenance module, the monitoring scope at least includes equipment operation parameters, network security status and personnel operation behavior; C2: Conduct risk assessment based on the real-time monitoring in step C1 and identify corresponding safety hazards; C3: Issue an early warning based on the potential safety hazard obtained in step C2, and call the corresponding preset emergency management method for output.

9. A wind farm operation and maintenance method based on multi-dimensional perception, the method being applicable to the wind farm operation and maintenance method based on multi-dimensional perception as claimed in any one of claims 1 to 8, characterized in that: The method includes: S1: Collecting multi-dimensional data of the wind farm; wherein the multi-dimensional data is used to characterize the operation status of the wind farm; S2: Perform multi-dimensional perception of the wind farm; wherein the multi-dimensional perception is to analyze the multi-dimensional data and obtain corresponding perception results; S3: performing cost control of the wind farm based on the sensing result; wherein the cost control is managing the life cycle cost; S3: Perform safety supervision on the operation of steps S1 to S3 and issue corresponding warnings.

10. An electronic device, characterized in that: It comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the wind farm operation and maintenance method based on multi-dimensional perception as described in any one of claims 1 to 8 is implemented.

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