Wind turbine yaw brake pad replacement system based on laser reflection measurement technology

Abstract

The present invention relates to the technical field of wind power generation device maintenance. Provided is a wind turbine yaw brake pad replacement system based on laser reflection measurement technology. The system comprises a data acquisition module, which is used for acquiring wear data of yaw brake pads in real time by means of preset monitoring devices and outputting first data; a data analysis module, which is used for preprocessing the first data to obtain data to be analyzed, analyzing the data to be analyzed, determining a wear state of each yaw brake pad and obtaining state analysis data; an early-warning module, which is used for inputting the data to be analyzed and the state analysis data into an early-warning database for data matching, and outputting a corresponding early-warning instruction; and a replacement module, which is used for selecting from a policy database a matching device replacement policy and a replacement method corresponding to the policy, and replacing the corresponding yaw brake pad. The present invention can realize real-time monitoring and accurate early warning of the degree of wear of yaw brake pads, and maintain the yaw brake pads in a timely manner.

Description

Wind turbine yaw brake pad replacement system based on laser reflection measurement technology Technical Field

[0001] The present invention relates to the technical field of wind power generation equipment maintenance, and in particular to a wind power generator yaw brake pad replacement system based on laser reflection measurement technology. Background Art

[0002] With the continuous development of wind power generation technology, higher requirements are placed on the maintenance of various components of wind turbines. As an important part of the yaw system of wind turbines, the wear state of yaw brake pads directly affects the operational safety and power generation efficiency of wind turbines.

[0003] Traditional monitoring methods often rely on manual inspection or regular maintenance to identify yaw brake pad wear. This is not only time-consuming and labor-intensive, but can also lead to malfunctions due to untimely monitoring. During wind turbine operation, the yaw system's brake pads are critical components for ensuring the rotor is aligned with the wind. However, brake pads gradually wear out over time. Once excessively worn, they become ineffective at braking, potentially causing the rotor to deviate from the optimal wind direction and even resulting in safety accidents.

[0004] Therefore, the present invention provides a wind turbine yaw brake pad replacement system based on laser reflection measurement technology. Summary of the Invention

[0005] The present invention provides a wind turbine yaw brake pad replacement system based on laser reflection measurement technology, which is used to achieve real-time monitoring and accurate early warning of the wear degree of the yaw brake pad, and timely maintenance of the yaw brake pad, thereby improving the operating reliability and maintenance efficiency of the wind turbine set.

[0006] The present invention provides a wind turbine yaw brake pad replacement system based on laser reflection measurement technology, comprising:

[0007] a data acquisition module, configured to acquire wear data of the yaw brake pad in real time through preset monitoring devices arranged at a plurality of first preset points in the generator set, and output first data;

[0008] a data analysis module, configured to pre-process the first data to obtain data to be analyzed, and analyze the data to be analyzed using a preset analysis method to determine the wear state of the yaw brake pad and obtain state analysis data;

[0009] An early warning module is used to input the data to be analyzed and the status analysis data into an early warning database for data matching and output corresponding early warning instructions;

[0010] The replacement module is used to select a matching equipment replacement strategy and a replacement method under the corresponding strategy from a strategy database based on the warning instruction, and replace the corresponding yaw brake pad based on the equipment replacement strategy and the replacement method.

[0011] Preferably, the data acquisition module includes:

[0012] An array construction submodule, configured to construct a monitoring device array based on the position information of the first preset point and the device information of the corresponding preset monitoring device;

[0013] The data acquisition submodule is used to acquire the real-time wear data of each yaw brake pad in the generator set based on the monitoring device array, and summarize it to obtain the first data.

[0014] Preferably, the array construction submodule includes:

[0015] a demand acquisition unit, configured to acquire demand information of the generator set and parse it to obtain a first demand corresponding to the yaw brake pad;

[0016] The device matching unit is configured to select a matching preset monitoring device from a preset requirement-device matching library based on the first requirement.

[0017] Preferably, the data analysis module includes:

[0018] a feature extraction submodule, configured to extract features from the first data, and perform feature matching in a preset abnormal feature database based on the extracted features to obtain a first feature set;

[0019] a preprocessing submodule, configured to select a matching preprocessing method from a method database based on the first feature set, and preprocess the first data to obtain data to be analyzed;

[0020] The state analysis submodule is used to analyze the data to be analyzed using a preset analysis method to obtain a state analysis result, determine the wear state of the yaw brake pad based on the state analysis result, and output the state analysis data.

[0021] Preferably, the state analysis submodule includes:

[0022] a factor acquisition unit, configured to acquire a matching first screening factor based on the first feature set and in combination with a preset feature-factor comparison table;

[0023] A method matching unit, configured to select a preset analysis method that meets a preset screening condition from a method database based on the first screening factor;

[0024] The state analysis unit is used to analyze the data to be analyzed based on the preset analysis method to obtain state analysis results, and to obtain the wear state corresponding to each state analysis result in combination with the preset result-state comparison table, and output the state analysis data.

[0025] Preferably, the early warning module includes:

[0026] A model matching submodule, configured to select a matching prediction model from a model database based on the first feature set;

[0027] A data prediction submodule, configured to perform prediction analysis on the data to be analyzed based on the prediction model, obtain wear prediction data, and determine a corresponding wear prediction state;

[0028] The early warning submodule is used to input the wear prediction data, status analysis data and wear prediction status into the early warning database for data matching to obtain a first matching result, and to obtain an early warning instruction corresponding to the first matching result in combination with a preset result-instruction comparison table.

[0029] Preferably, the replacement module includes:

[0030] The instruction parsing submodule is used to parse the warning instruction to obtain an instruction parsing package;

[0031] A factor matching submodule, configured to perform factor matching on the contents in the instruction parsing package, obtain a matching factor corresponding to each parsed content in the instruction parsing package, and construct a matching factor set;

[0032] A policy matching submodule, configured to select a corresponding device replacement policy from a policy database based on the matching factor set and in combination with a preset factor-policy comparison table;

[0033] A first method matching submodule is configured to select a corresponding device replacement method from a preset strategy-method mapping table based on the device replacement strategy and in combination with a method selection instruction;

[0034] A replacement submodule is used to select a matching yaw brake pad from the equipment library based on the equipment replacement strategy and equipment replacement method, and replace the abnormal yaw brake pad in the wind turbine;

[0035] A second data acquisition submodule is used to obtain position data of the replaced yaw brake pad and output second data;

[0036] The standard data acquisition submodule is used to obtain the device information of the replaced yaw brake pad and, in combination with the obtained braking requirement information of the corresponding wind turbine, obtain the standard position data of the yaw brake pad in the standard database;

[0037] A comparison submodule, configured to compare and analyze the second data with the standard position data to obtain position difference data;

[0038] A second method matching submodule is used to input the position difference data into a preset correction analysis model for correction analysis, and obtain a corresponding calibration method from a preset result-method comparison table based on the correction analysis result;

[0039] a calibration submodule, configured to calibrate the position of the replaced yaw brake pad based on the calibration method and generate calibration position data;

[0040] The verification submodule is used to compare and analyze the calibration position data with the standard position data, determine the comparison and analysis results that meet the preset threshold conditions as a verification qualified state, and end the calibration process of the yaw brake pad.

[0041] Preferably, the second method matching submodule includes:

[0042] a data analyzing unit, configured to analyze the position difference data to obtain position change data of the yaw brake pad at a plurality of second preset points after replacement;

[0043] a feature extraction unit, configured to extract features from the position change data and construct a second feature set;

[0044] a method matching unit, configured to select a matching preset deviation correction analysis model from a model database based on the second feature set;

[0045] a format matching unit, configured to obtain format information of the preset deviation correction analysis model, and perform format conversion on the position change data based on the format information to obtain third data;

[0046] a correction analysis unit, configured to input the third data into a preset correction analysis model to perform correction analysis, and obtain an axial deviation analysis result and a radial deviation analysis result of the yaw brake pad;

[0047] ;

[0048] in, represents the axial offset coefficient corresponding to the second preset point in the i-th row on the yaw brake pad; represents the radial offset coefficient corresponding to the second preset point in the jth column on the yaw brake pad; represents the number of yaw brake pads at the second preset point in row i; represents the number of the second preset points of the yaw brake pad in column j; represents the actual position data value of the kth second preset point in the i-th row on the yaw brake pad; Indicates the standard position data value corresponding to the k-th second preset point in the i-th row on the yaw brake pad; represents the deviation calculation weight coefficient corresponding to the kth second preset point in the i-th row on the yaw brake pad; Indicates the wear deviation adjustment coefficient corresponding to the kth second preset point in the i-th row on the yaw brake pad; represents the actual position data value of the qth second preset point in the jth column on the yaw brake pad; Indicates the standard position data value corresponding to the qth second preset point in the jth column on the yaw brake pad; represents the deviation calculation weight coefficient corresponding to the qth second preset point in the jth column on the yaw brake pad; represents the wear deviation adjustment coefficient corresponding to the qth second preset point in the jth column on the yaw brake pad;

[0049] A comprehensive analysis unit, configured to comprehensively analyze the axial offset analysis result and the radial offset analysis result to obtain a deviation correction analysis result;

[0050] The calibration method matching unit is used to obtain a calibration method that matches the correction analysis result in combination with a preset result-method comparison table.

[0051] The wind turbine yaw brake pad replacement system, based on laser reflection measurement technology, monitors yaw brake pad wear data, analyzes the wear status, and generates warning instructions. Based on the warning instructions, the system then selects an appropriate equipment replacement strategy and method to replace the yaw brake pads, thereby ensuring the normal operation of the wind turbine. The system can monitor yaw brake pad wear in real time, promptly detecting any abnormalities. It can also generate warning instructions based on the wear status and select an appropriate replacement strategy and method based on the warning instructions, improving replacement efficiency and accuracy. This ensures the normal operation of the yaw brake pads in the generator set, contributing to improved power generation efficiency and system stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0053] FIG1 is a schematic diagram of a framework of a wind turbine yaw brake pad replacement system based on laser reflection measurement technology provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0054] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0055] As shown in FIG1 , the wind turbine yaw brake pad replacement system based on laser reflection measurement technology provided by an embodiment of the present invention includes:

[0056] a data acquisition module, configured to acquire wear data of the yaw brake pad in real time through preset monitoring devices arranged at a plurality of first preset points in the generator set, and output first data;

[0057] a data analysis module, configured to pre-process the first data to obtain data to be analyzed, and analyze the data to be analyzed using a preset analysis method to determine the wear state of the yaw brake pad and obtain state analysis data;

[0058] The early warning module is used to input the data to be analyzed and the status analysis data into the early warning database for data matching and output corresponding early warning instructions;

[0059] The replacement module is used to select a matching equipment replacement strategy and a replacement method under the corresponding strategy from the strategy database based on the early warning instruction, and replace the corresponding yaw brake pad based on the equipment replacement strategy and the replacement method.

[0060] In this embodiment, the first preset point is a location point set in the wind turbine generator set, which is used to install a monitoring device to monitor the wear of the yaw brake pad in real time;

[0061] In this embodiment, a preset monitoring device: that is, a device installed at a first preset point, is used to obtain wear data of the yaw brake pad in real time;

[0062] In this embodiment, the first data: namely, the wear data of the yaw brake pad acquired in real time by a preset monitoring device;

[0063] In this embodiment, pre-processing: that is, first processing the data to improve the data quality of the wear data and facilitate subsequent analysis;

[0064] In this embodiment, the data to be analyzed refers to the data to be analyzed obtained after preprocessing;

[0065] In this embodiment, the preset analysis method: a preset analysis method is used to analyze the data to be analyzed to determine the wear state of the yaw brake pad;

[0066] In this embodiment, the state analysis data is data obtained by analyzing the data to be analyzed according to a preset analysis method, and is used to represent the wear state of each yaw brake pad in the wind turbine generator set;

[0067] In this embodiment, the early warning database: a database storing early warning information, used to match the data to be analyzed with the status analysis data and output corresponding early warning instructions;

[0068] In this embodiment, the warning instruction: an instruction output according to the matching result, used to remind that the yaw brake pad needs to be replaced or maintained;

[0069] In this embodiment, the policy database: a database storing device replacement policies and corresponding replacement methods;

[0070] In this embodiment, the equipment replacement strategy and replacement method: the strategy for replacing the yaw brake pads set for different wear states or conditions, and the specific method selected according to the equipment replacement strategy, the steps and operations for replacing the yaw brake pads, are a replacement plan formulated based on factors such as time and degree of wear.

[0071] The implementation principles and beneficial effects of this embodiment are as follows: The present invention monitors yaw brake pad wear data, analyzes the wear status, and generates warning instructions. Based on the warning instructions, the present invention then selects an appropriate equipment replacement strategy and method to replace the yaw brake pads, thereby ensuring the normal operation of the wind turbine. The present invention can monitor yaw brake pad wear in real time, promptly detecting any abnormalities in the yaw brake pads. It also generates warning instructions based on the wear status and selects an appropriate replacement strategy and method based on the warning instructions, improving replacement efficiency and accuracy. This ensures the normal operation of the yaw brake pads in the generator set, contributing to improved power generation efficiency and system stability.

[0072] The wind turbine yaw brake pad replacement system based on laser reflection measurement technology provided by the embodiment of the present invention includes a data acquisition module, which includes:

[0073] An array construction submodule, configured to construct a monitoring device array based on the position information of the first preset point and the device information of the corresponding preset monitoring device;

[0074] The data acquisition submodule is used to acquire the real-time wear data of each yaw brake pad in the generator set based on the monitoring device array, and summarize it to obtain the first data.

[0075] In this embodiment, the position information refers to the position information of the first preset point, which is used to determine the arrangement position of the monitoring device so as to construct the monitoring device array;

[0076] In this embodiment, device information refers to relevant information of the monitoring device, including device model, manufacturer, installation date, etc., which is used to identify and manage the monitoring device;

[0077] In this embodiment, the monitoring device array: the monitoring device array constructed according to the position information of the first preset point and the corresponding device information is used to monitor the wear data of each yaw brake pad in the wind turbine in real time;

[0078] In this embodiment, the real-time wear data refers to the wear data of each yaw brake pad during operation acquired in real time by the monitoring device array, including but not limited to information such as the degree of wear, temperature, and vibration of each yaw brake pad.

[0079] The implementation principles and beneficial effects of this embodiment are as follows: The present invention first constructs a monitoring device array based on location information and device information using the array construction submodule. The data acquisition submodule then acquires real-time wear data for each yaw brake pad based on the monitoring device array and aggregates this data to generate first data. By constructing the monitoring device array and acquiring real-time wear data, the present invention enables precise monitoring of each yaw brake pad, providing a foundation for subsequent analysis and early warning. Furthermore, aggregating the real-time wear data for each yaw brake pad facilitates a comprehensive understanding of the operating status of the entire wind turbine system.

[0080] The embodiment of the present invention provides a wind turbine yaw brake pad replacement system based on laser reflection measurement technology, and an array construction submodule, including:

[0081] a demand acquisition unit, configured to acquire demand information of the generator set and parse it to obtain a first demand corresponding to the yaw brake pad;

[0082] The device matching unit is configured to select a matching preset monitoring device from a preset requirement-device matching library based on the first requirement.

[0083] In this embodiment, demand information refers to demand information of the generator set or system, including yaw brake pad condition monitoring requirements, system operation status monitoring requirements, and early warning and alarm requirements;

[0084] In this embodiment, the first requirement: the requirement related to the yaw brake pad in the requirement information, including but not limited to requirements on yaw brake pad wear, temperature, vibration, etc.;

[0085] In this embodiment, the preset requirement-device matching library is a database containing the mapping relationship between the first requirement and the monitoring device, which is pre-set and used to obtain the corresponding preset monitoring device according to the input first requirement.

[0086] The implementation principles and beneficial effects of this embodiment are as follows: First, the demand acquisition unit acquires the generator set's demand information, parses it to obtain a first demand related to the yaw brake pad, and then the device matching unit selects a matching preset monitoring device from a preset demand-device matching library. Based on the generator set's demand information and the first demand of the yaw brake pad, the present invention accurately matches monitoring devices, ensuring the accuracy of monitoring data. Furthermore, by matching demand information with devices, the monitoring device is ensured to be consistent with the demand, mitigating the problem of reduced monitoring accuracy due to information mismatches.

[0087] The wind turbine yaw brake pad replacement system based on laser reflection measurement technology provided by the embodiment of the present invention includes a data analysis module, which includes:

[0088] A feature extraction submodule is used to extract features from the first data, and perform feature matching in a preset abnormal feature database based on the extracted features to obtain a first feature set;

[0089] A preprocessing submodule, configured to select a matching preprocessing method from a method database based on the first feature set, and preprocess the first data to obtain data to be analyzed;

[0090] The state analysis submodule is used to analyze the data to be analyzed using a preset analysis method to obtain a state analysis result, and to determine the wear state of the yaw brake pad based on the state analysis result, and output the state analysis data.

[0091] In this embodiment, an abnormal feature database is preset: a database storing various abnormal features and their corresponding meanings, which is used for feature matching and wear state judgment;

[0092] In this embodiment, feature matching: matching the extracted features with features in a preset abnormal feature database to determine the meaning of the features and possible abnormal situations;

[0093] In this embodiment, the first feature set: a feature set obtained according to the feature extraction submodule, used for subsequent data processing and analysis;

[0094] In this embodiment, the method database: a database storing various data processing and analysis methods, used to select an appropriate method for data processing and analysis;

[0095] In this embodiment, preprocessing method: the method selected in the preprocessing submodule for processing data to prepare the data for subsequent analysis, such as data cleaning;

[0096] In this embodiment, the preset analysis method: a preset method for data analysis, used to analyze the data to be analyzed and obtain a state analysis result;

[0097] In this embodiment, the state analysis result: a result obtained by analyzing the data to be analyzed, which is used to determine the wear state of the yaw brake pad;

[0098] In this embodiment, the wear status indicates the wear degree and status of the yaw brake pad, which may include normal, slight wear, severe wear, etc.

[0099] The implementation principle and beneficial effects of this embodiment: The present invention extracts features from the original data through the collaboration of feature extraction, preprocessing and state analysis sub-modules, performs state analysis after preprocessing, and finally determines the wear state of the yaw brake pad, realizing an automated data analysis process, which can accurately analyze data and determine the wear state of the yaw brake pad, discover problems in a timely manner and facilitate subsequent corresponding measures, reduce human intervention and improve data analysis efficiency.

[0100] The state analysis submodule of the wind turbine yaw brake pad replacement system based on laser reflection measurement technology provided in an embodiment of the present invention includes:

[0101] A factor acquisition unit, configured to acquire a matching first screening factor based on the first feature set and in combination with a preset feature-factor comparison table;

[0102] A method matching unit, configured to select a preset analysis method that meets a preset screening condition from a method database based on a first screening factor;

[0103] The state analysis unit is used to analyze the data to be analyzed based on a preset analysis method to obtain state analysis results, and to obtain the wear state corresponding to each state analysis result in combination with a preset result-state comparison table, and output state analysis data.

[0104] In this embodiment, a feature-factor comparison table is preset: a table storing the correspondence between features and factors, used to convert features into factors for subsequent analysis;

[0105] In this embodiment, the first screening factor: the first screening factor obtained according to the feature is used to select a suitable preset analysis method in the method database;

[0106] In this embodiment, the preset screening conditions are conditions used in the method matching unit to screen out suitable preset analysis methods;

[0107] In this embodiment, a result-state comparison table is preset to store the correspondence between the analysis results and the wear states, and is used to convert the analysis results into specific wear states.

[0108] The implementation principle and beneficial effects of this embodiment: The present invention converts features into factors, selects appropriate analysis methods, and finally converts the analysis results into specific wear states through the collaboration of factor acquisition, method matching, and a state analysis unit. The present invention achieves accurate analysis of the data to be analyzed and reduces the possibility of misjudgment through factor acquisition and method matching. Through the state analysis unit, the analysis results are converted into specific wear states, which is convenient for operation and maintenance personnel to understand and take corresponding measures.

[0109] The wind turbine yaw brake pad replacement system and early warning module provided by the embodiment of the present invention based on laser reflection measurement technology include:

[0110] A model matching submodule, configured to select a matching prediction model from a model database based on the first feature set;

[0111] The data prediction submodule is used to perform prediction analysis on the data to be analyzed based on the prediction model, obtain wear prediction data and determine the corresponding wear prediction state;

[0112] The early warning submodule is used to input the wear prediction data, status analysis data and wear prediction status into the early warning database for data matching to obtain a first matching result, and to obtain the early warning instruction corresponding to the first matching result in combination with the preset result-instruction comparison table.

[0113] In this embodiment, the model database: a database storing various prediction models, used to select an appropriate prediction model according to the first feature set;

[0114] In this embodiment, prediction analysis: predictive analysis is performed on the data to be analyzed by using the selected prediction model to obtain wear prediction data and wear prediction status;

[0115] In this embodiment, wear prediction data: data obtained by predicting the data to be analyzed according to the prediction model, used to predict the wear of the equipment, for example, predicted thickness wear data of each yaw brake pad, etc.;

[0116] In this embodiment, the wear prediction status refers to the wear status of the equipment determined based on the wear prediction data, for example, the wear status determined based on the wear prediction data is "normal", "slight wear", "repair required", etc.;

[0117] In this embodiment, the first matching result is the result obtained by matching the wear prediction data, the state analysis data and the wear prediction state into the early warning database through the early warning submodule;

[0118] In this embodiment, a preset result-instruction comparison table stores the correspondence between the first matching result and the warning instruction, and is used to generate the corresponding warning instruction.

[0119] The implementation principles and beneficial effects of this embodiment: Through the collaboration of model matching, data prediction, and early warning submodules, this invention predicts equipment wear and generates early warning instructions. This invention monitors yaw brake pad wear in real time, identifying problems promptly. Based on wear prediction data and status analysis data, it generates early warning instructions, prompting users to take appropriate measures, thereby ensuring stable system operation.

[0120] The embodiment of the present invention provides a wind turbine yaw brake pad replacement system based on laser reflection measurement technology, and a replacement module, including:

[0121] The instruction parsing submodule is used to parse the warning instruction and obtain the instruction parsing package;

[0122] The factor matching submodule is used to perform factor matching on the content in the instruction parsing package, obtain the matching factor corresponding to each parsed content in the instruction parsing package, and construct a matching factor set;

[0123] A policy matching submodule is used to select a corresponding device replacement policy from a policy database based on a matching factor set and in combination with a preset factor-policy comparison table;

[0124] The first method matching submodule is used to select a corresponding device replacement method from a preset strategy-method mapping table based on the device replacement strategy and in combination with the method selection instruction;

[0125] The replacement submodule is used to select a matching yaw brake pad from the equipment library based on the equipment replacement strategy and equipment replacement method, and replace the abnormal yaw brake pad in the wind turbine;

[0126] A second data acquisition submodule is used to obtain position data of the replaced yaw brake pad and output second data;

[0127] The standard data acquisition submodule is used to obtain the device information of the replaced yaw brake pad and, in combination with the obtained braking requirement information of the corresponding wind turbine, obtain the standard position data of the yaw brake pad in the standard database;

[0128] A comparison submodule, configured to compare and analyze the second data with the standard position data to obtain position difference data;

[0129] The second method matching submodule is used to input the position difference data into a preset correction analysis model for correction analysis, and obtain the corresponding calibration method from the preset result-method comparison table based on the correction analysis results;

[0130] a calibration submodule, configured to calibrate the position of the replaced yaw brake pad based on a calibration method and generate calibration position data;

[0131] The verification submodule is used to compare and analyze the calibration position data with the standard position data, determine the comparison and analysis results that meet the preset threshold conditions as a verification qualified state, and end the calibration process of the yaw brake pad.

[0132] In this embodiment, the instruction parsing package: a package of the parsed warning instruction, which contains the parsed content of the instruction for subsequent processing;

[0133] In this embodiment, the matching factor is a factor corresponding to the content in the instruction parsing package, which is used for subsequent matching of the device replacement strategy and the device replacement method;

[0134] In this embodiment, the matching factor set is a set of matching factors corresponding to all parsed contents;

[0135] In this embodiment, the preset factor-strategy comparison table: a table storing the correspondence between factors and equipment replacement strategies, is preset;

[0136] In this embodiment, the method selection instruction: an instruction for selecting a device replacement method, which is self-matched by the system or manually input;

[0137] In this embodiment, the preset policy-method mapping table: a table storing the correspondence between device replacement policies and device replacement methods, is preset;

[0138] In this embodiment, the equipment library: an equipment library storing a variety of yaw brake pads, used to select a matching yaw brake pad for replacement;

[0139] In this embodiment, the second data: that is, the position data of the yaw brake pad after replacement;

[0140] In this embodiment, the braking requirement information includes specific requirements and demand information for the yaw brake pads in the wind turbine;

[0141] In this embodiment, the standard database: a database storing standard position data of various types of yaw brake pads in a wind turbine;

[0142] In this embodiment, the standard position data: standard position data of the yaw brake pad installed in the wind turbine generator set, used for comparison and analysis with the actual position data;

[0143] In this embodiment, the position difference data refers to the difference data between the actual position data and the standard position data;

[0144] In this embodiment, the preset deviation correction analysis model: a preset analysis model for correcting position difference data;

[0145] In this embodiment, the deviation correction analysis result: that is, the analysis result obtained according to the deviation correction analysis model;

[0146] In this embodiment, a result-method comparison table is preset to store the correspondence between the correction analysis results and the calibration methods;

[0147] In this embodiment, the calibration method: a calibration method selected according to the deviation correction analysis result is used to calibrate the position of the yaw brake pad;

[0148] In this embodiment, the calibration position data: the yaw brake pad position data processed by the calibration method;

[0149] In this embodiment, the preset threshold condition is a preset condition for determining whether the calibration result is qualified.

[0150] Principles and beneficial effects of this embodiment: The present invention achieves automated management and calibration of the equipment replacement process through the collaboration of submodules such as instruction parsing, factor matching, strategy matching, and method matching. Through the collaboration of these submodules, the present invention achieves automated management of the yaw brake pad replacement and calibration process, improving operation and maintenance efficiency. Furthermore, through the correction analysis and calibration process, the position of the yaw brake pad can be optimized, improving its performance and stability.

[0151] The second method matching submodule of the wind turbine yaw brake pad replacement system based on laser reflection measurement technology provided in an embodiment of the present invention includes:

[0152] a data analysis unit, configured to analyze the position difference data to obtain position change data of the yaw brake pad at a plurality of second preset points after replacement;

[0153] A feature extraction unit, configured to extract features from the position change data and construct a second feature set;

[0154] A method matching unit, configured to select a matching preset deviation correction analysis model from a model database based on the second feature set;

[0155] a format matching unit, configured to obtain format information of a preset deviation correction analysis model, and perform format conversion on the position change data based on the format information to obtain third data;

[0156] a correction analysis unit, configured to input the third data into a preset correction analysis model to perform correction analysis, and obtain an axial deviation analysis result and a radial deviation analysis result of the yaw brake pad;

[0157] ;

[0158] in, represents the axial offset coefficient corresponding to the second preset point in the i-th row on the yaw brake pad; represents the radial offset coefficient corresponding to the second preset point in the jth column on the yaw brake pad; represents the number of yaw brake pads at the second preset point in row i; represents the number of the second preset points of the yaw brake pad in column j; represents the actual position data value of the kth second preset point in the i-th row on the yaw brake pad; Indicates the standard position data value corresponding to the k-th second preset point in the i-th row on the yaw brake pad; represents the deviation calculation weight coefficient corresponding to the kth second preset point in the i-th row on the yaw brake pad; Indicates the wear deviation adjustment coefficient corresponding to the kth second preset point in the i-th row on the yaw brake pad; represents the actual position data value of the qth second preset point in the jth column on the yaw brake pad; Indicates the standard position data value corresponding to the qth second preset point in the jth column on the yaw brake pad; represents the deviation calculation weight coefficient corresponding to the qth second preset point in the jth column on the yaw brake pad; represents the wear deviation adjustment coefficient corresponding to the qth second preset point in the jth column on the yaw brake pad;

[0159] A comprehensive analysis unit is used to comprehensively analyze the axial offset analysis results and the radial offset analysis results to obtain the correction analysis results;

[0160] The calibration method matching unit is used to obtain a calibration method that matches the correction analysis result in combination with a preset result-method comparison table.

[0161] In this embodiment, the second preset points: in the position data after the yaw brake pad is replaced, refer to a plurality of preset key points or positions for analyzing and comparing position changes;

[0162] In this embodiment, the position change data: position change data of the yaw brake pad at a plurality of second preset points, used to analyze the position adjustment of the yaw brake pad;

[0163] In this embodiment, the second feature set: a feature set extracted from the position change data, used to describe key features of the yaw brake pad position change;

[0164] In this embodiment, format information: the format and data structure information of the preset correction analysis model is used to perform format conversion and matching on the position data;

[0165] In this embodiment, the third data: the position data after format conversion processing, conforming to the data format of the preset correction analysis model;

[0166] In this embodiment, the axial offset analysis result: the axial offset analysis result of the yaw brake pad obtained by the deviation correction analysis unit;

[0167] In this embodiment, the radial offset analysis result is the radial offset analysis result of the yaw brake pad obtained by the deviation correction analysis unit.

[0168] The implementation principles and beneficial effects of this embodiment are as follows: The present invention implements analysis and calibration of yaw brake pad position variations through steps such as position data analysis, feature extraction, model matching, format conversion, and correction analysis. This invention not only accurately analyzes yaw brake pad position variations but also aligns calibration methods based on the correction analysis results to achieve calibration and optimization of the yaw brake pad position. This improves calibration accuracy and efficiency, ensures that the yaw brake pad position meets requirements after replacement, and further enhances the performance and reliability of the yaw brake pad.

[0169] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A wind turbine yaw brake pad replacement system based on laser reflection measurement technology, characterized in that: include: A data acquisition module, used for acquiring wear data of the yaw brake pad in real time through preset monitoring devices arranged at a plurality of first preset points in the generator set, and outputting first data; a data analysis module, configured to pre-process the first data to obtain data to be analyzed, and analyze the data to be analyzed using a preset analysis method to determine the wear state of the yaw brake pad to obtain state analysis data; An early warning module is used to input the data to be analyzed and the status analysis data into an early warning database for data matching and output corresponding early warning instructions; The replacement module is used to select a matching equipment replacement strategy and a replacement method under the corresponding strategy from a strategy database based on the early warning instruction, and replace the corresponding yaw brake pad based on the equipment replacement strategy and the replacement method.

2. The wind turbine yaw brake pad replacement system based on laser reflection measurement technology according to claim 1 is characterized in that: The data acquisition module comprises: An array construction submodule, used to construct a monitoring device array based on the position information of the first preset point and the device information of the corresponding preset monitoring device; The data acquisition submodule is used to acquire the real-time wear data of each yaw brake pad in the generator set based on the monitoring device array, and summarize it to obtain the first data.

3. The wind turbine yaw brake pad replacement system based on laser reflection measurement technology according to claim 2 is characterized in that: The array construction submodule comprises: A demand acquisition unit, used to acquire demand information of the generator set, and parse and obtain a first demand corresponding to the yaw brake pad; The device matching unit is used to select a matching preset monitoring device from a preset requirement-device matching library based on the first requirement.

4. The wind turbine yaw brake pad replacement system based on laser reflection measurement technology according to claim 1 is characterized in that: The data analysis module comprises: A feature extraction submodule, used to extract features from the first data, and perform feature matching in a preset abnormal feature database based on the extracted features to obtain a first feature set; A preprocessing submodule, configured to select a matching preprocessing method from a method database based on the first feature set, and preprocess the first data to obtain data to be analyzed; The state analysis submodule is used to analyze the data to be analyzed by using a preset analysis method to obtain a state analysis result, determine the wear state of the yaw brake pad based on the state analysis result, and output the state analysis data.

5. The wind turbine yaw brake pad replacement system based on laser reflection measurement technology according to claim 4 is characterized in that: The state analysis submodule comprises: A factor acquisition unit, configured to acquire a matching first screening factor based on the first feature set and in combination with a preset feature-factor comparison table; A method matching unit, configured to select a preset analysis method that meets a preset screening condition from a method database based on the first screening factor; The state analysis unit is used to analyze the data to be analyzed based on the preset analysis method to obtain the state analysis results, and to obtain the wear state corresponding to each state analysis result in combination with the preset result-state comparison table, and output the state analysis data.

6. The wind turbine yaw brake pad replacement system based on laser reflection measurement technology according to claim 4 is characterized in that: The early warning module comprises: A model matching submodule, used for selecting a matching prediction model in a model database based on the first feature set; A data prediction submodule, used for performing prediction analysis on the data to be analyzed based on the prediction model, obtaining wear prediction data and determining the corresponding wear prediction state; The early warning submodule is used to input the wear prediction data, state analysis data and wear prediction state into the early warning database for data matching to obtain a first matching result, and to obtain an early warning instruction corresponding to the first matching result in combination with a preset result-instruction comparison table.

7. The wind turbine yaw brake pad replacement system based on laser reflection measurement technology according to claim 1 is characterized in that: The replacement module comprises: The instruction parsing submodule is used to parse the warning instruction to obtain an instruction parsing package; A factor matching submodule, used to perform factor matching on the content in the instruction parsing package, obtain a matching factor corresponding to each parsed content in the instruction parsing package, and construct a matching factor set; A strategy matching submodule, for selecting a corresponding equipment replacement strategy from a strategy database based on the matching factor set and in combination with a preset factor-strategy comparison table; A first method matching submodule is used to select a corresponding device replacement method from a preset strategy-method mapping table based on the device replacement strategy and in combination with a method selection instruction; A replacement submodule, used to select a matching yaw brake pad in the equipment library based on the equipment replacement strategy and the equipment replacement method, and replace the abnormal yaw brake pad in the wind turbine; A second data acquisition submodule is used to acquire position data of the replaced yaw brake pad and output second data; The standard data acquisition submodule is used to obtain the equipment information of the replaced yaw brake pad, and in combination with the obtained braking demand information of the corresponding wind turbine, obtain the standard position data of the yaw brake pad in the standard database; A comparison submodule, used for comparing and analyzing the second data with the standard position data to obtain position difference data; A second method matching submodule is used to input the position difference data into a preset correction analysis model for correction analysis, and obtain a corresponding calibration method in a preset result-method comparison table based on the correction analysis result; A calibration submodule, used for calibrating the position of the replaced yaw brake pad based on the calibration method and generating calibration position data; The verification submodule is used to compare and analyze the calibration position data with the standard position data, determine the comparison and analysis results that meet the preset threshold conditions as a verification qualified state, and end the calibration process of the yaw brake pad.

8. The wind turbine yaw brake pad replacement system based on laser reflection measurement technology according to claim 7 is characterized in that: The second method matches the submodule, including: A data analysis unit, used to analyze the position difference data to obtain position change data of the yaw brake pad at a plurality of second preset points after replacement; A feature extraction unit, used to extract features from the position change data and construct a second feature set; A method matching unit, configured to select a matching preset deviation correction analysis model from a model database based on the second feature set; a format matching unit, configured to obtain format information of the preset deviation correction analysis model, and perform format conversion on the position change data based on the format information to obtain third data; a deviation correction analysis unit, configured to input the third data into a preset deviation correction analysis model to perform deviation correction analysis, and obtain an axial deviation analysis result and a radial deviation analysis result of the yaw brake pad respectively; ； in, represents the axial offset coefficient corresponding to the second preset point in the i-th row on the yaw brake pad; represents the radial offset coefficient corresponding to the second preset point in the jth column on the yaw brake pad; represents the number of the yaw brake pads at the second preset point in the i-th row; represents the number of the second preset points of the yaw brake pad in the jth column; represents the actual position data value of the kth second preset point in the i-th row on the yaw brake pad; represents the standard position data value corresponding to the kth second preset point in the i-th row on the yaw brake pad; represents the deviation calculation weight coefficient corresponding to the kth second preset point in the i-th row on the yaw brake pad; represents the wear deviation adjustment coefficient corresponding to the kth second preset point in the i-th row on the yaw brake pad; represents the actual position data value of the qth second preset point in the jth column on the yaw brake pad; represents the standard position data value corresponding to the qth second preset point in the jth column on the yaw brake pad; represents the deviation calculation weight coefficient corresponding to the qth second preset point in the jth column on the yaw brake pad; represents the wear deviation adjustment coefficient corresponding to the qth second preset point in the jth column on the yaw brake pad; A comprehensive analysis unit, used for comprehensively analyzing the axial offset analysis result and the radial offset analysis result to obtain a deviation correction analysis result; The calibration method matching unit is used to obtain a calibration method that matches the correction analysis result in combination with a preset result-method comparison table.

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