On-line wind alignment angle calibration system of wind direction instrument and method therefor

Abstract

An on-line wind alignment angle calibration system of a wind direction instrument, comprising a wind direction instrument on-line calibration system, a cabin, a tower base, a monitoring room, and a server; the wind direction instrument on-line calibration system comprises: a wind direction instrument (1), a housing upper cover (2), a transmission gear (3), a transmission shaft (4), an integrated control module (5), a housing (6), a base (7), a speed reducer (8), a drive motor (9), and an angle encoder (10). Further provided is a calibration method based on the calibration system. The calibration method comprises: preprocessing wind power data; performing data processing by means of a DBSCAN clustering analysis method; performing data processing by means of a quartile algorithm, and determining a data interval; calculating a blade tip speed ratio interval; extracting wind direction interval power; and calculating a wind alignment angle. The wind alignment angle deviation of a wind turbine is obtained by means of calculation using an intelligent algorithm, then a reference zero position of the wind direction instrument is adjusted by means of an intelligent precise hollow drive module, thus on-line adjustment and calibration of the reference zero position of the wind direction instrument can be achieved, and safety hazards due to manual operation, frequent adjustment and calibration, high-altitude operation, and the like are reduced. Also provided are a computer-readable storage medium and a computer device for implementing the calibration method.

Description

A wind vane online wind angle calibration system and method Technical Field

[0001] The invention relates to the technical field of wind vane calibration, in particular to an on-line wind angle calibration system and method for a wind vane. Background Art

[0002] Anemometers are crucial wind-measuring components for wind turbines, used to measure wind direction at the turbine's location. These instruments are subject to factors such as installation errors, loose equipment, and environmental interference, leading to deviations in wind measurement performance. This directly impacts the turbine's power generation efficiency, occasionally causing the turbine's power output curve to fall below the standard power curve. Furthermore, existing anemometers present difficulties in detecting wind turbine deviations during operation and maintenance, leading to repetitive, passive work and lengthy disassembly and assembly operations. Furthermore, the disassembly and assembly process presents significant safety risks associated with working at height, severely impacting the company's economic benefits from power generation.

[0003] As wind turbine installed capacity increases annually, the workload for maintenance increases, and the problem of insufficient or even no maintenance of wind vane equipment is on the rise. Loose wind vanes and installation errors can lead to inaccurate wind turbine wind angles, which directly reduce wind turbine efficiency and cause significant economic losses to the company. The online wind vane angle calibration device can promptly detect wind turbine yaw system deviations caused by wind vane measurement errors, reducing the impact of inaccurate wind turbine wind angles and ensuring long-term economic benefits for the company.

[0004] Therefore, if a wind vane online wind angle calibration system can be designed. With digitalization, intelligence, and miniaturization as the direction, and data, platform, and algorithm as the key elements, a new type of online system optimization equipment with intelligent detection, online adjustment, and high precision can be designed and developed to achieve precise wind alignment of the wind turbine yaw system and improve the power generation efficiency of the unit. In this way, the hidden information of big data can be fully mined to detect wind deviation problems of wind turbines. Through timely online adjustments, the power generation efficiency of enterprises can be improved, and safety hazards such as manual operation, frequent adjustments, and high-altitude operations can be reduced. In view of this, in-depth research on the above issues has led to the creation of this case.

[0005] The patent of this invention relates to the field of wind power generation technology, specifically a method and system for online adjustment of the reference zero position of the wind vane of the wind turbine by obtaining the wind turbine's angle deviation to the wind through big data processing.

[0006] Specifically, it includes the following three aspects:

[0007] (1) Wind turbine data processing: The measured power curve of wind turbines is distributed in a disordered manner and cannot be directly used for unit performance analysis. Moreover, the analysis process is cumbersome and inefficient, and data cleaning is not thorough, which makes it impossible to effectively identify complex and changeable abnormal information, which has a significant impact on the analysis results. By developing a set of abnormal data processing algorithms for wind power curves of new energy stations, we can eliminate the accumulated abnormal data at the bottom, middle, and top of the curve and the scattered abnormal data around the curve.

[0008] (2) Obtain the yaw system angle error to the wind: by cleaning and processing the wind turbine data, partitioning the processed sample data according to the wind direction, drawing the wind speed-power curve of each wind direction partition, extracting useful information, and analyzing which partition has the best power curve for the unit, that is, the yaw error angle.

[0009] (3) Intelligent Precision Hollow Transmission System: The intelligent precision hollow transmission device serves as an on-site actuator. Its control system can accurately adjust the rotation angle of the transmission device according to the input signal. The system is wind-resistant and fog-proof, and is robust enough to adapt to extreme environmental factors such as rain, snow, low temperature, humidity, lightning, and dust. Due to the special nature of the installation location, its design should be compact and easy to install and maintain.

[0010] (1) Guodian United Power Technology Co., Ltd., a method for calibrating the wind deviation of a wind turbine (patent number: CN103758700B), which measures the real-time wind direction in front of the rotor of a running wind turbine by installing a laser radar anemometer. Based on the measured multiple real-time wind directions, the actual wind deviation of the wind turbine is obtained by statistical analysis, and the installation position of the wind vane on the wind turbine nacelle is adjusted to the initial zero position to achieve accurate wind direction of the wind turbine.

[0011] (2) Beijing Goldwind Technology Wind Power Equipment Co., Ltd., a method, device, and system for determining and correcting the wind angle deviation (Patent No.: CN201810167196.1). Based on the measured wind angle and output power value at the time point when the ambient wind speed value within the specific time period belongs to any wind speed segment, the wind angle deviation value for any wind speed segment is determined through data processing, and a program is designed and developed based on the entire algorithm calculation process.

[0012] (3) Beijing Sanli New Energy Technology Co., Ltd., a yaw angle positioning control method based on time partitioning and yaw sector (patent number: CN201911278826.3). Variable data is collected, the yaw judgment module judges the variable data, and the main control system controls the yaw. The collected variable data is obtained by monitoring the wind speed, wind direction, yaw angle and the conventional control variable parameters of the yaw motor action instruction of the collection unit, and the variable data of the wind speed mean, wind direction β, yaw angle mean α and the cumulative value N of the yaw number are obtained. The variable data is used as the input variable of the yaw judgment module.

[0013] (4) Beijing Uniconda Technology Co., Ltd., a method and device for dynamically correcting the yaw deviation of a wind turbine (Patent No.: CN109472040B). By dynamically obtaining the optimal yaw deviation, the dynamic correction device can be used to compensate for the original wind direction signal and correct the actual wind direction angle at the wind turbine impeller, thereby improving the measurement accuracy of the wind direction at the wind turbine impeller.

[0014] (5) Shanghai University of Electric Power, wind turbine deviation correction method, device, equipment and medium (Patent No.: CN110094300B). By performing grid calculation on historical data of a period, a machine learning algorithm is used to filter out a first grid historical operation data set from the grid historical operation data, and the wind deviation is calculated based on the first grid historical operation data set.

[0015] (6) Yudongyuan (Beijing) Information Technology Co., Ltd., wind turbine deviation identification method, device, electronic device and storage medium, (Patent No.: CN116502543B). Obtain the wind speed and actual power of the target unit among the units to be tested, the target unit is the wind turbine unit that needs to be identified for wind deviation among the units to be tested in the wind farm, and the units to be tested also include a reference unit that has normal wind direction and meets the first preset related condition with the target unit; according to the wind speed of the target unit and the preset collaborative feature mapping, obtain the collaborative wind speed feature of the target wind turbine; input the collaborative wind speed feature of the target wind turbine into a pre-trained power prediction model to obtain the predicted power of the target unit; identify the wind deviation of the target unit based on the predicted power and actual power.

[0016] (7) Beijing Goldwind Science and Technology Wind Power Equipment Co., Ltd., a method and apparatus for determining the yaw deviation angle of a wind turbine generator set (patent number: CN111120203B). The method comprises obtaining data of a wind turbine generator set over a period of time, wherein the data includes at least wind speed, wind direction angle, and power; binning the data according to different wind speed segments to obtain multiple data bins, wherein the data in the data bins include multiple wind speeds within the corresponding wind speed segments, wind direction angles corresponding to the wind speeds, and power; binning each data bin twice according to the wind direction angle, and dividing each data bin into multiple sub-data bins; calculating the average power in each sub-data bin; and taking the wind direction angle corresponding to the sub-data bin with the maximum average power as the yaw deviation angle of the data bin where the sub-data bin is located.

[0017] (8) Xuji Group Co., Ltd., a method and device for controlling the yaw system of a wind turbine generator set (patent number: CN110630438B). Real-time acquisition of current wind speed and direction data to calculate the wind deviation of the cabin; if the wind deviation of the cabin is greater than a first wind deviation limit value, the wind yaw is initiated; within a set time threshold after the wind yaw is initiated, real-time determination is made as to whether the current wind deviation is greater than a second wind deviation limit value, and the second wind deviation limit value is greater than the first wind deviation limit value; if the wind deviation is always less than the second wind deviation limit value within the set time threshold after the wind yaw is initiated, then when the set time threshold after the wind yaw is initiated is reached, if the wind deviation of the cabin is still greater than the first wind deviation limit value, the wind yaw is initiated again.

[0018] Disadvantages of existing technology

[0019] (Combined with the existing technology, deduce the defects, shortcomings and deficiencies of the existing technology, and the deficiencies proposed need to be problems that can be solved by the invention)

[0020] In China, some research institutions currently use big data processing to determine the wind turbine's deviation angle to the wind, and then manually adjust the wind vane to zero, or install a lidar to measure the wind conditions of the entire unit for evaluation. This requires a lot of manpower and material resources and is costly. Some institutions also complete the yaw correction to the wind by correcting the wind direction parameters in the main control system program, which poses a certain degree of safety hazard to the main control system. In addition, for different host manufacturers, when modifying the main control system parameters, the consent of the host manufacturer must be sought, and the coordination work is relatively cumbersome, and the necessary communication interface protocol development and debugging work must be carried out according to the existing communication protocol.

[0021] Summary of the Invention

[0022] The wind vane calibration system of the present invention enables real-time online adjustment of the wind vane zero position. This process does not require the wind turbine master controller to open a communication interface for data transmission. Adjusting the wind vane reference zero position via an external device provides good applicability to wind turbines of different brands. Therefore, a wind vane online wind angle calibration system and method are proposed.

[0023] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0024] The present invention provides a wind vane online wind angle calibration system and method thereof, and the present invention provides the following technical solutions:

[0025] A wind vane online wind angle calibration system, comprising a wind vane online calibration system, a cabin, a tower base, a monitoring room, and a server; the server outputs control instructions to the monitoring room, the monitoring room transmits the instructions to the cabin via the tower base, and the cabin transmits the control instructions to the wind vane online calibration system; the wind vane online calibration system outputs feedback signals to the cabin, the cabin transmits the feedback signals to the monitoring room via the tower base, and the monitoring room transmits the feedback signals to the server.

[0026] Preferably, the wind vane online calibration system includes: a wind vane, an outer shell cover, a transmission gear, a transmission shaft, an integrated control module, an outer shell, a base, a reducer, a drive motor and an angle encoder; the outer shell cover is designed with left and right limit switches; the transmission gear drives the reference zero position adjustment of the wind vane through the rotation of the gear; the interior of the transmission shaft is hollow, and the wind vane signal line passes through the inside of the transmission shaft for arranging the signal transmission line; the upper end of the transmission shaft is connected and fixed to the wind vane base; the integrated control module is used to receive control instructions from the upper computer and send control signals to drive the motor to adjust the transmission gear and adjust the reference zero position of the wind vane with high precision; the base is connected to the bracket of the wind vane; the reducer is used to control the transmission gear to adjust the rotation angle; the drive motor is controlled by the integrated control module and is used to drive the reducer to adjust the angle.

[0027] Preferably, the integrated control module transmits various on-site feedback signals to the server via the TCP protocol, and the server outputs control instructions to the integrated control module via the TCP protocol.

[0028] A method for calibrating an online wind angle of a wind vane is provided. The method is based on an online wind angle calibration system for an online wind vane, and the method comprises the following steps:

[0029] Step 1: Preprocess wind power data;

[0030] Step 2: Data processing using the DBSCAN cluster analysis method;

[0031] Step 3: Process the data using the quartile algorithm to determine the data interval;

[0032] Step 4: Calculate the tip speed ratio range;

[0033] Step 5: Power extraction in wind direction interval;

[0034] Step 6: Calculate the angle to the wind. Based on the calculated tip speed ratio interval and data interval, divide the interval into 15 sub-intervals with wind speed as the horizontal axis. The interval of each sub-interval is 0.2m / s. Select the average angle to the wind in these intervals and draw a wind direction-power graph. According to the value of the wind direction corresponding to the highest power display point, record the wind direction angle output as NN, which is the output instruction.

[0035] Preferably, the step 1 is specifically:

[0036] Step 1.1: Extract six months or one year of data from the wind farm SCADA system, including instantaneous values ​​of wind speed, wind direction, output power, and average generator speed, and plot the data.

[0037] Step 1.2: Extract the data, record power as K, wind speed as M, wind direction angle as N, and average generator speed instantaneous value as T. Arrange them in descending order of wind speed to form a new data table, record wind speed as M1, power as K1, wind direction angle as N1, and average generator speed instantaneous value as T1;

[0038] Step 1.3: Establish an X and Y coordinate system, where X is wind speed M1 and Y is power K1;

[0039] Step 1.4: Use X and Y as the basic coordinate axes to establish a coordinate system and draw a wind speed-power scatter plot.

[0040] Preferably, the step 2 is specifically as follows:

[0041] The DBSCAN method is used to perform cluster analysis on power K1 and wind speed M1, and the Bayesian algorithm is used to calculate the radius d and number e of the DBSCAN algorithm kernel function;

[0042] The DBSCAN method is used for data cleaning, that is, the wind speed is recorded as M2, the power is recorded as K2, the wind direction angle corresponding to the original data of the two is recorded as N2, the average instantaneous value of the generator speed is recorded as T2, and a wind speed-power scatter plot is drawn.

[0043] Preferably, the step 3 is specifically:

[0044] Step 3.1: Divide the Y-axis wind speed M2 into 40 wind speed segments from small to large, and obtain the corresponding power, wind direction, and average generator speed instantaneous value data;

[0045] Step 3.2: Arrange each wind speed segment from small to large according to the power recorded as K2, and organize the data power K2, wind speed M2, wind direction angle N2, and average generator speed instantaneous value T2;

[0046] Step 3.3: The number of power in each wind speed interval is recorded as n;

[0047] When the number of data is n, and (n+1) / 4 is divisible,

[0048] Q1 is the value of the power Y of the (n+1) / 4th bit;

[0049] Q2 is the value of the power Y of the (n+1) / 2th bit;

[0050] Q3 is the value of the power Y of the (n+1) / 4*3th bit;

[0051] Right now

[0052] When (n+1) / 4 is not divisible, Q2 is the average of the power Y of the n / 2th bit and the power Y of the n / 2+1th bit:

[0053] Right now:

[0054] Among them, when n=4k+4, Q1 is the value of the power Y of the 0.25nth bit multiplied by 0.75 + the value of the power Y of the 0.25n+1th bit multiplied by 0.25; Q3 is the value of the power Y of the 0.75nth bit multiplied by 0.25 + the value of the power Y of the 0.75n+1th bit multiplied by 0.75.

[0055] When n=4k+6, Q1 is the value of the power Y of the 0.25n-0.5th bit multiplied by 0.25 + the value of the power Y of the 0.25n+0.5th bit multiplied by 0.75; Q3 is the value of the power Y of the 0.75n+0.5th bit multiplied by 0.75 + the value of the power Y of the 0.75n+1.5th bit multiplied by 0.25.

[0056] Right now:

[0057] When n=4k+4, k=1, 2, 3...

[0058] When n=4k+6, k=1, 2, 3...

[0059] Step 3.4: Eliminate outliers, formula:

[0060] Minimum estimated value: LI1 = Q1-1.5(Q3-Q1);

[0061] Maximum estimated value: LI3 = Q3 + 1.5(Q3 - Q1);

[0062] Taking X as wind speed M2, Y as power K2, Z as wind direction angle N2, and R as the instantaneous value of the average generator speed T2; when the value of Y is calculated and processed, the values where Y > LI3 are excluded, and Y < LI1; the remaining data is retained, and then these 40 segments of data are combined together to form a new data sample P1; the wind speed M3, power K3, wind direction angle N3, and the instantaneous value of the average generator speed T3. In the sample data, these data horizontally are a set of corresponding data. After cleaning, the wind speed is denoted as M3, the power is denoted as K3, and the wind speed-power curve is fitted.

[0063] Preferably, step 4 is specifically as follows:

[0064] Step 4.1: Using the instantaneous value of the average generator speed T3 and the average wind speed M3 of the data sample P1, perform matrix multiplication and division through the formula to calculate the tip speed ratio Li = (π * Ti * Hi) / (30 * Vi);

[0065] where Ti is the data of the instantaneous value of the average generator speed, Hi is the blade radius, this point should be marked for subsequent modification, Vi is the data in the Mth column, the abscissa is the wind speed Vi; the ordinate is the tip speed ratio Li

[0066] Step 4.2: Fit the curve, take the range where the slope < 0.8, extract the range of the abscissa, and its abscissa is the reference range, which is taken as an integer.

[0067] A computer-readable storage medium, on which a computer program is stored, and the program is executed by a processor to implement an on-line wind angle calibration method for a wind direction indicator.

[0068] A computer device, including a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, an on-line wind angle calibration method for a wind direction indicator is implemented.

[0069] The present invention has the following beneficial effects:

[0070] Compared with the prior art, the present invention:

[0071] The present invention calculates the wind angle deviation of the fan through an intelligent algorithm, and then adjusts the reference zero position of the wind direction indicator through an intelligent precision hollow transmission module. It can realize the on-line calibration of the reference zero position of the wind direction indicator, effectively reduce safety hazards such as manual operation, frequent calibration, and high-altitude operation. The method of combining software algorithms and hardware devices corrects the wind deviation of the yaw system

[0072] This patented invention effectively identifies historical data and uses big data processing to determine wind turbine angle deviation. This effectively addresses the issue of wind turbine angle deviation, which is difficult for personnel to detect in a timely manner when the deviation is small, thus avoiding system calibration delays. It also reduces the direct impact on enterprise economic benefits caused by wind vane zero reference inaccuracy, which can lead to wind turbine angle deviation.

[0073] The patent of this invention combines the characteristics of the DBSCAN clustering algorithm and the Laida criterion in the process of abnormal data processing, organically combines the strengths of the two algorithms, and proposes a method suitable for cleaning abnormal data of the wind turbine power curve. This algorithm overcomes the application drawbacks of a single algorithm in identifying discrete or accumulated abnormal data, and combines the advantages of the two algorithms to effectively identify the data features in the sample data, and achieve effective cleaning of the accumulated abnormal data at the bottom of the wind turbine power curve and the discrete abnormal data distributed around it. And through the wind power data processing and display function of the software system, it is used to observe whether the abnormal data identification and elimination effect of wind power data (wind speed-power) is good, and the actual power curve and standard power curve of the wind turbine after data processing can be viewed in the system, which can be used for wind power curve consistency analysis and other tasks, enhancing the practicality and scalability of the system.

[0074] The patent of this invention corrects the yaw system's wind deviation through a method that combines an algorithm with hardware equipment. The wind angle deviation value calculated by the software system is output to the hardware intelligent precision hollow transmission module. The hollow transmission module drives the wind vane base to rotate, thereby adjusting the wind vane reference zero position arranged in the cabin, thereby adjusting the wind turbine's wind angle. It is a method of affecting the adjustment of the wind turbine's wind deviation through the hardware structure, and there is no need to modify the fan's main control parameters. This overcomes the safety hazards of modifying the main control system parameters and is compatible with all types of fans. On-site applications only require adjusting the hollow transmission module connection structure according to different wind vane base configurations, which greatly improves the applicability and safety of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific 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.

[0076] Figure 1 is a design flow chart of an online wind angle calibration system for anemometers;

[0077] Figure 2 is a cross-sectional view of an anemometer online wind angle calibration system;

[0078] FIG3 is a perspective view of an online wind angle calibration system for anemometers;

[0079] Figure 4 is the control flow of the integrated control module;

[0080] FIG5 is a schematic diagram of the system control instruction and signal transmission process.

[0081] Among them, 1- wind vane, 2- housing cover, 3- transmission gear, 4- transmission shaft, 5- integrated control module, 6- housing, 7- base, 8- reducer, 9- drive motor and 10- angle encoder. DETAILED DESCRIPTION

[0082] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0083] In the description of the present invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0084] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0085] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0086] The present invention is described in detail below with reference to specific embodiments.

[0087] Specific embodiment one:

[0088] As shown in FIG1 to FIG5 , the specific optimization technical solution adopted by the present invention to solve the above technical problems is: the present invention relates to an online wind angle calibration system for a wind vane and a method thereof.

[0089] The present invention provides an online wind angle calibration system for a wind vane. The system comprises an online wind vane calibration system, a cabin, a tower base, a monitoring room and a server; the server outputs a control instruction to the monitoring room, the monitoring room transmits the instruction to the cabin via the tower base, and the cabin transmits the control instruction to the online wind vane calibration system; the online wind vane calibration system outputs a feedback signal to the cabin, the cabin transmits the feedback signal to the monitoring room via the tower base, and the monitoring room transmits the feedback signal to the server.

[0090] The wind vane online calibration system includes: a wind vane 1, an upper housing cover 2, a transmission gear 3, a transmission shaft 4, an integrated control module 5, a housing 6, a base 7, a reducer 8, a drive motor 9, and an angle encoder 10. The upper housing cover 2 is designed with left and right limit switches. The transmission gear 3 rotates to adjust the wind vane's reference zero position. The transmission shaft 4 is hollow, and the wind vane 1 signal line passes through it, arranging the signal transmission line. The upper end of the transmission shaft is connected and fixed to the wind vane base 7. The housing 7 of the wind vane online wind angle calibration system has certain anti-interference, dustproof, and rain and snowproof functions. The integrated control module 5 is used to receive control commands from the host computer and send control signals to drive the motor 9 to adjust the transmission gear, thereby accurately adjusting the wind vane's reference zero position. The base is connected to the wind vane bracket. The reducer 8 controls the transmission gear to adjust the rotation angle. The drive motor is controlled by the integrated control module and drives the reducer to adjust the angle.

[0091] The integrated control module transmits various on-site feedback signals to the server through the TCP protocol, and the server outputs control instructions to the integrated control module through the TCP protocol.

[0092] The integrated control module (5) in the wind vane online wind angle calibration system transmits various on-site feedback signals to the server via the TCP protocol, and the server outputs control instructions to the integrated control module (5) via the TCP protocol. The control panel in the integrated control module (5) is powered by the power panel. The control panel is designed with an ambient temperature monitoring function (via PT100 temperature measurement), an encoder left and right travel limit signal detection function, an on-site equipment fault alarm signal monitoring function, and a heater temperature control function to control the start-up of the heater in the wind vane online wind angle calibration system to ensure that the equipment can maintain normal operation in a low temperature working environment. The designed fault alarm monitoring functions mainly include: (1) temperature fault alarm: any temperature sensor short circuits or breaks, and a fault alarm signal is issued; (2) mechanical limit switch failure; (3) stepper motor overheating; (4) stepper motor overcurrent; (5) encoder signal failure.

[0093] In addition, the control logic is designed and developed within the control board, and the power control unit controls the operation of the drive motor (9) within the wind vane online wind angle calibration system, drives the reducer to adjust the angle, and realizes the reference zero position adjustment of the wind vane. The motor encoder (i.e., the angle encoder (10)) feeds back the digital signal to the power control unit in real time, and then feeds back to the server through the digital control board.

[0094] (3) Working process of the wind vane online wind angle calibration system:

[0095] According to the working principle of the present invention, a system server is arranged in the boost station. The server collects the operating wind power data of a single wind turbine of the wind turbine group, including: wind speed, wind direction angle, output power and average generator speed instantaneous value, and draws scatter points. The data is processed for abnormal data through the software algorithm calculation process in the above (II), the power curve is fitted, and the wind angle deviation value is calculated. The value is transmitted to the integrated control module (5) of the wind vane online calibration system on the cabin through the station network via the tower base and the cabin. The integrated control module (5) judges the feedback of the angle encoder (10) according to the instruction, adjusts the action of the drive motor (9), drives the reducer (8) to run, and the small gear on the reducer (8) drives the transmission gear (3) to rotate. The transmission gear (3) is connected to the transmission shaft (4), and the transmission gear (3) will rotate together with the transmission shaft (4). The upper end of the transmission shaft (4) is connected to the base of the wind vane (1). The rotation of the transmission shaft (4) will drive the base of the wind vane (1) to rotate, thereby adjusting the reference zero position of the wind vane (1). The signal line of the wind vane (1) passes through the transmission shaft (4) of the wind vane online wind angle calibration system and maintains the original signal connection with the wind turbine master control. The base (7) of the wind vane online wind angle calibration system is connected and fixed to the cabin bracket (original wind vane bracket). A schematic diagram of the system control command and signal transmission process is shown in Figure 3.

[0096] A method for calibrating an online wind angle of a wind vane is provided. The method is based on an online wind angle calibration system for an online wind vane, and the method comprises the following steps:

[0097] Step 1: Preprocess wind power data;

[0098] Step 2: Data processing using the DBSCAN cluster analysis method;

[0099] Step 3: Process the data using the quartile algorithm to determine the data interval;

[0100] Step 4: Calculate the tip speed ratio range;

[0101] Step 5: Power extraction in wind direction interval;

[0102] Step 6: Calculate the angle to the wind. Based on the calculated tip speed ratio interval and data interval, divide the interval into 15 sub-intervals with wind speed as the horizontal axis. The interval of each sub-interval is 0.2m / s. Select the average angle to the wind in these intervals and draw a wind direction-power graph. According to the value of the wind direction corresponding to the highest power display point, record the wind direction angle output as NN, which is the output instruction.

[0103] Preferably, the step 1 is specifically:

[0104] Step 1.1: Extract six months or one year of data from the wind farm SCADA system, including instantaneous values ​​of wind speed, wind direction, output power, and average generator speed, and plot the data.

[0105] Step 1.2: Extract the data, record power as K, wind speed as M, wind direction angle as N, and average generator speed instantaneous value as T. Arrange them in descending order of wind speed to form a new data table, record wind speed as M1, power as K1, wind direction angle as N1, and average generator speed instantaneous value as T1;

[0106] Step 1.3: Establish an X and Y coordinate system, where X is wind speed M1 and Y is power K1;

[0107] Step 1.4: Use X and Y as the basic coordinate axes to establish a coordinate system and draw a wind speed-power scatter plot.

[0108] Preferably, the step 2 is specifically as follows:

[0109] The DBSCAN method is used to perform cluster analysis on power K1 and wind speed M1, and the Bayesian algorithm is used to calculate the radius d and number e of the DBSCAN algorithm kernel function;

[0110] The DBSCAN method is used for data cleaning, that is, the wind speed is recorded as M2, the power is recorded as K2, the wind direction angle corresponding to the original data of the two is recorded as N2, the average instantaneous value of the generator speed is recorded as T2, and a wind speed-power scatter plot is drawn.

[0111] Preferably, the step 3 is specifically:

[0112] Step 3.1: Divide the Y-axis wind speed M2 into 40 wind speed segments from small to large, and obtain the corresponding power, wind direction, and average generator speed instantaneous value data;

[0113] Step 3.2: Arrange each wind speed segment from small to large according to the power recorded as K2, and organize the data power K2, wind speed M2, wind direction angle N2, and average generator speed instantaneous value T2;

[0114] Step 3.3: The number of power in each wind speed interval is recorded as n;

[0115] When the number of data is n, and (n+1) / 4 is divisible,

[0116] Q1 is the value of the power Y of the (n+1) / 4th bit;

[0117] Q2 is the value of the power Y of the (n+1) / 2th bit;

[0118] Q3 is the value of the power Y of the (n+1) / 4*3th bit;

[0119] Right now

[0120] When (n+1) / 4 is not divisible, Q2 is the average of the power Y of the n / 2th bit and the power Y of the n / 2+1th bit:

[0121] Right now:

[0122] Among them, when n=4k+4, Q1 is the value of the power Y of the 0.25nth bit multiplied by 0.75 + the value of the power Y of the 0.25n+1th bit multiplied by 0.25; Q3 is the value of the power Y of the 0.75nth bit multiplied by 0.25 + the value of the power Y of the 0.75n+1th bit multiplied by 0.75.

[0123] When n=4k+6, Q1 is the value of the power Y of the 0.25n-0.5th bit multiplied by 0.25 + the value of the power Y of the 0.25n+0.5th bit multiplied by 0.75; Q3 is the value of the power Y of the 0.75n+0.5th bit multiplied by 0.75 + the value of the power Y of the 0.75n+1.5th bit multiplied by 0.25.

[0124] Right now:

[0125] When n=4k+4, k=1, 2, 3...

[0126] When n=4k+6, k=1, 2, 3...

[0127] Step 3.4: Eliminate outliers, formula:

[0128] Minimum estimated value: LI1 = Q1-1.5(Q3-Q1);

[0129] Maximum estimated value: LI3 = Q3 + 1.5 (Q3 - Q1);

[0130] Let X be the wind speed M2, Y be the power K2, Z be the wind direction angle N2, and R be the instantaneous value of the average generator speed T2; when the value of Y is calculated and processed, the value of Y > LI3 is excluded, and Y < LI1; the remaining data is retained, and then these 40 segments of data are combined together to form a new data sample P1; the wind speed M3, power K3, wind direction angle N3, and instantaneous value of the average generator speed T3. In the sample data, these data horizontally are a set of corresponding data. After cleaning, the wind speed of the data is denoted as M3, the power is denoted as K3, and the wind speed-power curve is fitted.

[0131] Preferably, step 4 is specifically as follows:

[0132] Step 4.1: Use the instantaneous value of the average generator speed T3 and the average wind speed M3 of the data sample P1 to perform matrix multiplication and division through the formula to calculate the tip speed ratio Li = (π * Ti * Hi) / (30 * Vi);

[0133] Among them, Ti is the data of the instantaneous value of the average generator speed, Hi is the blade radius, this point should be marked and can be modified later, Vi is the data in the Mth column, the abscissa is the wind speed Vi; the ordinate is the tip speed ratio Li

[0134] Step 4.2: Fit the curve, take the range where the slope < 0.8, extract the range of the abscissa, and its abscissa is the reference range, and take it as an integer.

[0135] Specific embodiment two:

[0136] The difference between the second embodiment of this application and the first embodiment is only that:

[0137] The technical solution adopted by the present invention is: specifically, it is an online wind angle calibration system for a wind turbine wind direction indicator. This system does not rely on on-site manual adjustment, avoids the influence of human error, and reduces the safety hazards of high-altitude operations. Through an external equipment device between the wind direction indicator on the upper part of the nacelle and the nacelle support for online real-time calibration, the server in the booster station collects the on-site wind power data, excavates the hidden information of the wind turbine operation data, and relies on intelligent algorithms to discover and obtain the wind deviation value of the fan. The system calibration process does not need to modify the main control system parameters, avoiding the safety hazards caused by modifying the main control system parameters. And it effectively overcomes the problem that it is not easy for staff to discover problems in time due to the small wind deviation value. This system greatly saves labor costs during operation, reduces the human calibration error, and has the characteristics of simple operation, online real-time adjustment, and high precision.

[0138] (2) The software algorithm calculation process of this invention patent is as follows:

[0139] 1. Pretreatment of wind power data

[0140] (1) Extract data from the wind farm SCADA system for a period of time (half a year or one year), including instantaneous values ​​of wind speed, wind direction, output power, and average generator speed, and plot the scatter plots.

[0141] (2) Extract the data: record the power as K, wind speed as M, wind direction angle as N, and average generator speed instantaneous value as T. Arrange them in descending order of wind speed to form a new data table: record wind speed as M1, power as K1, wind direction angle as N1, and average generator speed instantaneous value as T1.

[0142] (3) Establish an X and Y coordinate system, where X is the wind speed M1 and Y is the power K1.

[0143] (4) Using X and Y as the basic coordinate axes, establish a coordinate system to draw a wind speed-power scatter plot. (The original data must be displayed on the screen)

[0144] 2. DBSCAN cluster analysis algorithm for data processing

[0145] (1) Use the DBSCAN algorithm to perform cluster analysis on power K1 and wind speed M1, and use the Bayesian algorithm to calculate the radius d and number e of the DBSCAN algorithm kernel function.

[0146] (2) Substitute the data into the DBSCAN algorithm for data cleaning, i.e., record the wind speed as M2, the power as K2, the wind direction angle corresponding to the original data as N2, and the average instantaneous value of the generator speed as T2. Draw a wind speed-power scatter plot.

[0147] 3. Quartile algorithm for data processing

[0148] (1) The Y-axis wind speed M2 is divided into 40 wind speed segments (set as needed) according to the wind speed, and the corresponding power, wind direction, and average generator speed instantaneous value data.

[0149] (2) For each wind speed segment, the power is recorded as K2 (arranged from small to large), and the data power K2, wind speed M2, wind direction angle N2, and average generator speed instantaneous value T2 are sorted.

[0150] (3) The number of powers in each wind speed interval is denoted as n.

[0151] 1) If the number of data is n, when (n+1) / 4 is divisible,

[0152] Q1 is the value of the power Y of the (n+1) / 4th bit;

[0153] Q2 is the value of the power Y of the (n+1) / 2th bit;

[0154] Q3 is the value of the power Y of the (n+1) / 4*3th bit;

[0155] That is

[0156] 2) When (n + 1) / 4 cannot be divided evenly, Q2 is the average value of the power Y value at the n / 2 - th position and the power Y value at the (n / 2 + 1)-th position.

[0157] That is:

[0158] Among them, ① when n = 4k + 4, Q1 is the power Y value at the 0.25n - th position multiplied by 0.75 plus the power Y value at the (0.25n + 1)-th position multiplied by 0.25; Q3 is the power Y value at the 0.75n - th position multiplied by 0.25 plus the power Y value at the (0.75n + 1)-th position multiplied by 0.75.

[0159] ② when n = 4k + 6, Q1 is the power Y value at the (0.25n - 0.5)-th position multiplied by 0.25 plus the power Y value at the (0.25n + 0.5)-th position multiplied by 0.75; Q3 is the power Y value at the (0.75n + 0.5)-th position multiplied by 0.75 plus the power Y value at the (0.75n + 1.5)-th position multiplied by 0.25.

[0160] That is:

[0161] When n = 4k + 4, k = 1, 2, 3...

[0162] When n = 4k + 6, k = 1, 2, 3...

[0163] [[ID=​​​​​​​​​​​​​​(1) Using the data sample P1 (average generator speed instantaneous value T3) and (average wind speed M3), the tip speed ratio Li = (π*Ti*Hi) / (30*Vi) is calculated by performing matrix multiplication and division using the formula.

[0169] Where Ti is the instantaneous value of the average generator speed (i.e., the instantaneous value of the average generator speed is T3), Hi is the blade radius (this point should be marked so it can be modified later), and Vi is the data in the Mth column (average wind speed M3). The horizontal axis is wind speed Vi, and the vertical axis is tip speed ratio Li. Draw a scatter plot, and the image should look like the following.

[0170] (2) Fit the curve, take the range where the slope is less than 0.8, and extract the range of the horizontal axis. The horizontal axis is the reference range and is rounded to an integer, for example, 5 to 8.

[0171] 5. Power extraction in wind direction range

[0172] (1) Partition the new data sample P1 according to wind direction, for example (±10 is the yaw dead zone interval) -10, -8, -6, -4, -2, 0, 2, 4, 6, 8, 10. The divided data is the power and wind speed data corresponding to each wind direction segment, that is, the power in the wind direction intervals [-10, -8], ... [8, 10] is K3 and the wind speed is M3.

[0173] (2) The data (power, wind speed) of the segmented intervals are normalized with the wind speed interval of 0.5m / s. The formula is as follows:

[0174] Where:

[0175] V i —normalized average wind speed in the ith interval;

[0176] V n,i+j —The normalized wind speed of the jth data set in the i-th interval;

[0177] P i —normalized average output power in the ith interval;

[0178] P n,i+j —The planned output power of the jth data group in the i-th interval;

[0179] N i —The number of 10-minute data groups in the i-th interval.

[0180] (3) Draw the power curve for each wind direction zone.

[0181] 6. Calculate the angle to the wind

[0182] (1) Determine which zone has the best power curve for the unit, and which zone has the best power curve overall. For example, if the wind speed range corresponding to the wind speed segment [6°, 8°] is optimal, extract its wind speed M5, wind direction N5, and power K5 data.

[0183] (2) Based on the data interval calculated in (4. Calculate the tip speed ratio interval in step 2) (e.g., 5≤Vi≤8), divide the interval into 15 (modifiable) subintervals with wind speed as the horizontal axis. The interval of each subinterval is 0.2m / s. Select the maximum value of each K5 column data and the corresponding N5 column data (average wind angle) in these intervals, and draw a wind direction-power graph. According to the wind direction value corresponding to the highest power display point, the wind direction angle output is recorded as NN. This NN is the output instruction to the wind vane online wind angle calibration system. (If NN is less than 2 degrees, the wind vane online wind angle calibration system is not adjusted)

[0184] (3) The hardware device of the wind vane online wind angle calibration system designed by the patent of this invention includes the wind vane online wind angle calibration system and the integrated control module.

[0185] Figure 1 The design of the wind vane online wind angle calibration system includes: (2) the upper cover of the wind vane online wind angle calibration system, which is designed with left and right limit switches; (3) the transmission gear, the gear rotation drives the reference zero position adjustment of the wind vane; (4) the transmission shaft, the shaft is hollow inside, and the wind vane signal line passes through the transmission shaft, which is used to arrange the signal transmission line. The upper end of the transmission shaft is connected and fixed to the wind vane (1) base; (5) the integrated control module, which is used to receive the control instructions of the host computer and send control signals to drive the motor to adjust the transmission gear and adjust the wind vane reference zero position with high precision; (6) the shell of the wind vane online wind angle calibration system, which has certain anti-interference, dustproof, rain and snow resistance functions; (7) the base, which is connected to the original wind vane bracket in the cabin; (8) the reducer, which controls the transmission gear to adjust the rotation angle; (9) the drive motor, which is controlled by the integrated control module and drives the reducer to adjust the angle; (10) the angle encoder (high precision).

[0186] Figure 2 Integrated control module. The integrated control module (5) in the wind vane online wind angle calibration system transmits various on-site feedback signals to the server via the TCP protocol, and the server outputs control instructions to the integrated control module (5) via the TCP protocol. The control panel in the integrated control module (5) is powered by the power panel. The control panel is designed with an ambient temperature monitoring function (via PT100 temperature measurement), an encoder left and right travel limit signal detection function, an on-site equipment fault alarm signal monitoring function, and a heater temperature control function to control the start-up of the heater in the wind vane online wind angle calibration system to ensure that the equipment can maintain normal operation in a low temperature working environment. The designed fault alarm monitoring functions mainly include: (1) temperature fault alarm: any temperature sensor is short-circuited or open-circuited, and a fault alarm signal is issued; (2) mechanical limit switch failure; (3) stepper motor overheating; (4) stepper motor overcurrent; (5) encoder signal failure.

[0187] In addition, the control logic is designed and developed within the control board, and the power control unit controls the operation of the drive motor (9) within the wind vane online wind angle calibration system, drives the reducer to adjust the angle, and realizes the reference zero position adjustment of the wind vane. The motor encoder (i.e., the angle encoder (10)) feeds back the digital signal to the power control unit in real time, and then feeds back to the server through the digital control board.

[0188] (3) Working process of the wind vane online wind angle calibration system:

[0189] According to the working principle of the present invention, a system server is arranged in the boost station. The server collects the operating wind power data of a single wind turbine of the wind turbine group, including: wind speed, wind direction angle, output power and average generator speed instantaneous value, and draws scatter points. The data is processed for abnormal data through the software algorithm calculation process in the above (II), the power curve is fitted, and the wind angle deviation value is calculated. The value is transmitted to the integrated control module (5) of the wind vane online calibration system on the cabin through the station network via the tower base and the cabin. The integrated control module (5) judges the feedback of the angle encoder (10) according to the instruction, adjusts the action of the drive motor (9), drives the reducer (8) to run, and the small gear on the reducer (8) drives the transmission gear (3) to rotate. The transmission gear (3) is connected to the transmission shaft (4), and the transmission gear (3) will rotate together with the transmission shaft (4). The upper end of the transmission shaft (4) is connected to the base of the wind vane (1). The rotation of the transmission shaft (4) will drive the base of the wind vane (1) to rotate, thereby adjusting the reference zero position of the wind vane (1). The signal line of the wind vane (1) passes through the transmission shaft (4) of the wind vane online wind angle calibration system and maintains the original signal connection with the wind turbine master control. The base (7) of the wind vane online wind angle calibration system is connected and fixed to the cabin bracket (original wind vane bracket). A schematic diagram of the system control command and signal transmission process is shown in Figure 3.

[0190] 1) The integrated control module (5) controls the on-site wind vane online wind angle calibration system to rotate to a specified position according to the deviation command signal output by the server, thereby realizing closed-loop control. The wind vane (reference zero position) angle feedback signal is then transmitted back to the server according to the angle encoder (10).

[0191] 2) The upper part of the online wind angle calibration system for the wind vane is compatible with the installation dimensions of the anemometer (1) base, and the lower part is the same size as the cabin bracket (original wind vane bracket), without changing the installation bracket of the on-site anemometer.

[0192] 3) The wind vane online wind angle calibration system drives the anemometer to rotate through the hollow transmission shaft (4) and can simultaneously pass the anemometer cables and the wind vane online wind angle calibration system cables through the internal hollow without changing the original wiring form.

[0193] 4) A rotating sealing ring is installed between the transmission shaft (4) and the upper cover of the outer shell (3), and the upper cover of the outer shell is provided with a waterproof platform to effectively prevent dust and water.

[0194] 5) The housing (6) is connected to the upper cover (3) and the base (7) by threaded connection, with a gasket in the middle, which can prevent dust and water while increasing the connection strength. In addition, the appearance is almost seamless and has no bolts, which increases the aesthetics.

[0195] 6) The reducer (8) can increase the gear transmission and improve the speed ratio. By adjusting the speed of the driving motor (9), the rotation accuracy and stability of the anemometer (1) can be improved. It can also play a certain self-locking role, that is, the motor (9) does not need to have a torque holding function. Unless the anemometer is rotated vigorously, there is no need to worry about the anemometer rotating on its own. The motor power can be minimized. In addition, there is no need to maintain the torque, so as to achieve the effect of reducing the heat generation to the maximum extent, and no active heat dissipation is required.

[0196] 7) The interior of the housing (6) can be fitted with a heating belt to prevent damage to electrical components due to low temperatures, and the heating can be controlled by an integrated control module.

[0197] 8) The server operating system (i.e., the platform of the anemometer online wind angle calibration system) is designed with a one-key initialization function. The control module receives the one-key initialization signal output by the server, performs angle correction, and resets the zero position through the limit switches on the left and right sides of the actuator.

[0198] 9) The server software system platform can query historical angle adjustment records for comparative analysis of wind turbine angle adjustment values. It also features a system switching function, allowing for system disconnection at any time based on on-site needs (such as model maintenance and optimization). Furthermore, the software system platform includes a wind power data processing and display function to monitor the effectiveness of identifying and eliminating abnormal wind power data (wind speed-power). The actual wind turbine power curve and standard power curve after data processing can be viewed within the system, enabling consistency analysis of wind power curves.

[0199] 10) The integrated control module control program is designed to control the rotation of the transmission gear of the rotating wind vane's online wind angle calibration system during initial system configuration or power-off restart, moving the reference zero position scale to the left and right extreme positions (left and right limit switches are designed into the housing cover). The angle encoder uses the mid-range value as the reference zero position, and the control module feeds this value back to the server as the wind deviation zero position value.

[0200] (1) The present invention calculates the wind turbine's wind angle deviation through intelligent algorithm calculation, and then adjusts the wind vane reference zero position through the wind vane online wind angle calibration system. The wind vane reference zero position can be adjusted online, effectively reducing safety hazards such as manual operation, frequent adjustment, and high-altitude operation. The method combining software algorithm and hardware equipment to correct the yaw system wind deviation

[0201] (2) The present invention effectively identifies historical data and obtains the wind turbine angle deviation through big data processing. This can effectively solve the problem of wind turbine angle deviation that is difficult for staff to detect in time when the deviation value is small, thus avoiding system delay adjustment. It also reduces the direct impact on the economic benefits of enterprises caused by the deviation of wind turbine angle due to the inaccurate zero position of wind vane.

[0202] (3) The patent of this invention combines the characteristics of DBSCAN clustering algorithm and Laida criterion in the process of abnormal data processing, organically combines the two algorithms to learn from each other's strengths and weaknesses, and proposes a method suitable for cleaning abnormal data of wind turbine power curve. This algorithm overcomes the application disadvantages of a single algorithm in identifying discrete or accumulated abnormal data, combines the advantages of the two algorithms, can effectively identify the data features in the sample data, and effectively clean the abnormal data accumulated at the bottom of the wind turbine power curve and the discrete abnormal data distributed around it. And through the wind power data processing and display function of the software system, it is used to observe whether the abnormal data identification and elimination effect of wind power data (wind speed-power) is good, and the actual power curve and standard power curve of the wind turbine after data processing can be viewed in the system, which can be used for wind power curve consistency analysis and other tasks, thereby enhancing the practicality and scalability of the system.

[0203] (4) The patent of the present invention corrects the yaw system's wind deviation by combining software algorithms with hardware equipment. The wind angle deviation value calculated by the software system is output to the hardware wind vane online wind angle calibration system. The hollow transmission module drives the wind vane base to rotate, thereby adjusting the wind vane reference zero position arranged in the cabin, thereby adjusting the wind turbine's wind angle. It is a method of affecting the adjustment of the wind turbine's wind deviation through the hardware structure, without the need to modify the fan's main control parameters. This overcomes the safety hazards of modifying the main control system parameters and is compatible with various types of fans. On-site applications only require adjusting the hollow transmission module connection structure according to different wind vane base configurations, greatly improving the applicability and safety of the system.

[0204] As a preferred solution, further, the abnormal data of wind turbines in the daily operation process is eliminated through big data processing methods. The present invention combines the characteristics of the DBSCAN clustering algorithm and the Laida criterion in the abnormal data processing process, organically combines the two algorithms to complement each other, and proposes a method suitable for cleaning abnormal data of wind turbine power curves. This algorithm overcomes the application drawbacks of a single algorithm in identifying discrete or accumulated abnormal data, combines the advantages of the two algorithms, and can effectively identify data features in sample data, and achieve effective cleaning of abnormal data accumulated at the bottom of the wind turbine power curve and discrete abnormal data distributed around it. The calculation process of the entire algorithm is simple and reliable, with strong generalization ability, and can provide strong data support for subsequent data analysis and control strategy optimization of wind power companies.

[0205] As a preferred solution, the calculated wind angle deviation value is further output to the wind vane online wind angle calibration system. The hollow transmission module drives the wind vane base to rotate, adjusting the wind vane reference zero position located in the nacelle, thereby adjusting the wind turbine's wind angle. This method uses hardware structure to influence the wind turbine's wind deviation adjustment, without modifying the fan's main control parameters. This overcomes the safety risks of modifying the main control system parameters and is compatible with various types of fans. Field applications only require adjusting the hollow transmission module connection structure according to the different wind vane base configurations.

[0206] As a preferred solution, further, the existing anemometer can realize 360° infinitely variable speed rotation in the plane; it can receive computer instructions and execute the required rotation data. If the rotation is not executed or the rotation is lost due to overload, failure and other factors, it can give feedback to the computer.

[0207] As a preferred solution, the online wind angle calibration system for the anemometer is further designed with a Faraday cage cover, which is configured outside the hollow transmission module and can withstand low and high temperatures outdoors, lightning interference and lightning strikes; the middle of the device is a hollow transmission shaft, which drives the anemometer to rotate and can pass the anemometer cables and the pan-tilt head cables through the internal hollow, and the wind vane signal line can pass through it without changing the original wiring form.

[0208] As a preferred solution, further, the transmission shaft of the wind vane online wind angle calibration system is designed to install a rotating sealing ring with the upper cover of the shell, and the upper cover of the shell is provided with a waterproof platform to effectively prevent dust and water.

[0209] As a preferred option, further, the shell of the wind vane online wind angle calibration system is connected to the upper cover and the bottom cover by threads, with a gasket in the middle, which can not only prevent dust and water, but also increase the connection strength. In addition, the appearance is almost seamless and free of bolts, which increases the aesthetics.

[0210] As a preferred option, further, the anemometer online wind angle calibration system is designed with a reducer drive and a gear drive, which can improve the speed ratio. Through motor speed regulation, the anemometer rotation accuracy and smoothness can be improved, and it can have a certain self-locking property, that is, the motor does not need to have a torque holding function. Unless the personnel rotate the anemometer vigorously, there is no need to worry about the anemometer rotating on its own in other cases; the motor power can be minimized, and there is no need to maintain torque, so as to achieve the effect of minimizing heat generation, and no active heat dissipation is required.

[0211] As a preferred solution, further, the shell of the wind vane online wind angle calibration system is designed to fit a heating belt inside to prevent low temperature from damaging the electrical components.

[0212] As a preferred solution, further, the wind vane online wind angle calibration system is designed with an integrated control module, which receives control instructions from the host computer (or other control signals). The module controls the on-site pan-tilt head to rotate to the specified position according to the deviation command signal to achieve closed-loop control; the platform control closed-loop adjustment is achieved through a high-precision angle encoder; and it is connected to a high-precision angle measurement encoder to provide real-time feedback of the platform angle to the host computer.

[0213] As a preferred option, further, when the system is initially configured or restarted after a power outage, the integrated control module will control the rotation of the transmission gear of the rotating wind vane's online wind angle calibration system according to the left and right limit switches set on site during installation, and run the reference zero position scale to the left and right limit positions once. Through the angle encoder, the middle value of the range is taken as the reference zero position, and the control module feeds back this value to the server as the wind deviation zero position value.

[0214] As a preferred solution, further, the platform (software system platform) for online wind angle calibration of the anemometer is designed with a one-key initialization function. The control module receives the one-key initialization signal output by the server, performs angle correction, and resets the zero position through the limit switches on the left and right sides of the actuator.

[0215] As a preferred solution, further, the software system platform can query historical angle adjustment records, which can be used to compare and analyze the wind turbine angle adjustment values.

[0216] As a preferred solution, further, the software system platform is designed with a system switching function, which can cut off the system at any time according to on-site needs (such as model maintenance, optimization, etc.).

[0217] As a preferred solution, further, the software system platform is designed with a wind power data processing and display function, which is used to observe whether the abnormal data identification and elimination of wind power data (wind speed-power) are effective. The actual power curve and standard power curve of the wind turbine after data processing can be viewed in the system, which can be used for wind power curve consistency analysis.

[0218] In Figure 2: (2) The upper cover of the shell of the wind vane online wind angle calibration system, which is designed with left and right limit switches; (3) The transmission gear, the gear rotation drives the reference zero position adjustment of the wind vane; (4) The transmission shaft, the shaft is hollow inside, and the wind vane (1) signal line passes through the transmission shaft, which is used to arrange the signal transmission line. The upper end of the transmission shaft is connected and fixed to the base of the wind vane (1); (5) The integrated control module is used to receive the control instructions of the host computer and send control signals to drive the motor to adjust the transmission gear and adjust the reference zero position of the wind vane with high precision; (6) The shell of the wind vane online wind angle calibration system has certain anti-interference, dustproof, rain and snow resistance functions; (7) The base is connected to the original wind vane bracket in the cabin; (8) The reducer controls the transmission gear to adjust the rotation angle; (9) The drive motor is controlled by the integrated control module and drives the reducer to adjust the angle; (10) The angle encoder (high precision).

[0219] FIG4 shows an integrated control module. The integrated control module (5) in the wind vane online wind angle calibration system transmits various on-site feedback signals to the server via the TCP protocol, and the server outputs control instructions to the integrated control module (5) via the TCP protocol. The control panel in the integrated control module (5) is powered by the power panel. The control panel is designed with an ambient temperature monitoring function (via PT100 temperature measurement), an encoder left and right travel limit signal detection function, an on-site equipment fault alarm signal monitoring function, and a heater temperature control function to control the start-up of the heater in the wind vane online wind angle calibration system to ensure that the equipment can maintain normal operation in a relatively low temperature working environment. The designed fault alarm monitoring functions mainly include: (1) temperature fault alarm: any temperature sensor is short-circuited or open-circuited, and a fault alarm signal is issued; (2) mechanical limit switch failure; (3) stepper motor overheating; (4) stepper motor overcurrent; (5) encoder signal failure.

[0220] In addition, the control logic is designed and developed within the control board, and the power control unit controls the operation of the drive motor (9) within the wind vane online wind angle calibration system, drives the reducer to adjust the angle, and realizes the reference zero position adjustment of the wind vane. The motor encoder (i.e., the angle encoder (10)) feeds back the digital signal to the power control unit in real time, and then feeds back to the server through the digital control board.

[0221] Specific embodiment three:

[0222] The only difference between the third embodiment of the present application and the second embodiment is that:

[0223] The present invention provides a computer-readable storage medium on which a computer program is stored. The program is executed by a processor to implement a strain sensor fault diagnosis method for a wind tunnel strain balance.

[0224] Specific embodiment four:

[0225] The only difference between the fourth embodiment of the present application and the third embodiment is that:

[0226] The present invention provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements a strain sensor fault diagnosis method for a wind tunnel strain balance when executing the computer program.

[0227] In the description of this specification, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or N embodiments or examples in an appropriate manner. In addition, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples, unless otherwise clearly defined. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, features defined as "first" and "second" may explicitly or implicitly include at least one of such features. In the description of the present invention, "N" means at least two, such as two, three, etc., unless otherwise clearly defined. Any process or method description in a flowchart or otherwise described herein can be understood to represent a module, segment, or portion of code comprising one or more executable instructions for implementing a custom logic function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may be performed out of the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of the present invention pertain. The logic and / or steps shown in a flowchart or otherwise described herein, for example, can be considered to be a sequenced list of executable instructions for implementing the logic function, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transmit a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection having one or N wirings (electronic devices), a portable computer disk cartridge (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and portable compact disc read-only memory (CDROM).In addition, the computer-readable medium may even be paper or other suitable medium on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, then editing, interpreting, or processing in other suitable ways as necessary, and then storing it in a computer memory. It should be understood that the various parts of the present invention can be implemented with hardware, software, firmware, or a combination thereof. In the above embodiment, the N steps or methods can be implemented with software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented with hardware, as in another embodiment, any one of the following technologies known in the art or their combination can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0228] The above description is merely a preferred embodiment of a system and method for online wind vane angle calibration. The scope of protection of a system and method for online wind vane angle calibration is not limited to the above embodiment. All technical solutions based on this concept fall within the scope of protection of the present invention. It should be noted that improvements and variations that do not depart from the principles of the present invention are within the scope of protection of the present invention.

Claims

1. A wind vane online wind angle calibration system, characterized by: The system includes a wind vane online calibration system, a cabin, a tower base, a monitoring room and a server; the server outputs control instructions to the monitoring room, the monitoring room transmits the instructions to the cabin through the tower base, and the cabin transmits the control instructions to the wind vane online calibration system; the wind vane online calibration system outputs feedback signals to the cabin, the cabin transmits the feedback signals to the monitoring room through the tower base, and the monitoring room transmits the feedback signals to the server.

2. The device according to claim 1, characterized in that: The online calibration system of the wind vane includes: a wind vane, an outer shell cover, a transmission gear, a transmission shaft, an integrated control module, an outer shell, a base, a reducer, a drive motor and an angle encoder; the outer shell cover is designed with left and right limit switches; the transmission gear drives the reference zero position adjustment of the wind vane through the rotation of the gear; the shaft of the transmission shaft is hollow inside, and the wind vane signal line passes through the inside of the transmission shaft for arranging the signal transmission line; the upper end of the transmission shaft is connected and fixed to the base of the wind vane; the integrated control module is used to receive the control instructions of the host computer and send out the control signal to drive the motor to adjust the transmission gear and adjust the reference zero position of the wind vane with high precision; the base is connected to the bracket of the wind vane; the reducer is used to control the transmission gear to adjust the rotation angle; the drive motor is controlled by the integrated control module and is used to drive the reducer to adjust the angle.

3. The device according to claim 2, characterized in that: The integrated control module transmits various feedback signals on site to the server through the TCP protocol, and the server outputs control instructions to the integrated control module through the TCP protocol.

4. A method for calibrating an online wind angle of a wind vane, the method being based on an online wind angle calibration system of a wind vane as claimed in claim 1, characterized in that: The method comprises the following steps: Step 1: Preprocess wind power data; Step 2: Data processing by DBSCAN clustering analysis method; Step 3: Process the data using the quartile algorithm to determine the data interval; Step 4: Calculate the tip speed ratio range; Step 5: Power extraction in wind direction interval; Step 6: Calculate the angle to the wind. According to the calculated tip speed ratio interval and data interval, divide the interval into 15 sub-intervals with wind speed as the horizontal axis. The interval of each sub-interval is 0.2m / s. Select the average angle to the wind in these intervals and draw a wind direction-power diagram. According to the value of the wind direction corresponding to the highest power display point, record the wind direction angle output as NN, which is the output instruction.

5. The method according to claim 4, characterized in that: The step 1 is specifically as follows: Step 1.1: Extract half-year or one-year data from the wind farm SCADA system, including wind speed, wind direction angle, output power and average generator speed instantaneous values, and draw scattered points; Step 1.2: Extract data, record power as K, wind speed as M, wind direction angle as N, average generator speed instantaneous value as T, and arrange them in descending order of wind speed to form a new data table, record wind speed as M1, power as K1, wind direction angle as N1, average generator speed instantaneous value as T1; Step 1.3: Establish an X and Y coordinate system, where X is wind speed M1 and Y is power K1; Step 1.4: Use X and Y as the basic coordinate axes to establish a coordinate system to draw a wind speed-power scatter plot.

6. The method according to claim 5, characterized in that: The step 2 is specifically as follows: The DBSCAN method is used to perform cluster analysis on power K1 and wind speed M1, and the Bayesian algorithm is used to calculate the radius d and number e of the DBSCAN algorithm kernel function; Bring it into the DBSCAN method for data cleaning, that is, the wind speed is denoted as M2, the power is denoted as K2, and the wind direction angle corresponding to the original data of both is denoted as N2, and the instantaneous value of the average generator speed is denoted as T2, and a wind speed-power scatter plot is drawn.

7. The method according to claim 6, characterized in that: The specific content of step 3 is as follows: Step 3.1: Arrange the wind speed M2 on the Y-axis from small to large, divide it into 40 wind speed segments according to the wind speed, and the corresponding power, wind direction, and instantaneous value data of the average generator speed; Step 3.2: In each wind speed segment, arrange the data power according to the power denoted as K2 from small to large, and sort out the data power K2, wind speed M2, wind direction angle N2, instantaneous value T2 of the average generator speed; Step 3.3: Denote the number of powers in each wind speed interval as n; When the number of data is n, when (n + 1) / 4 can be divided evenly, Q1 is the value of the power Y at the (n + 1) / 4th position; Q2 is the value of the power Y at the (n + 1) / 2th position; Q3 is the value of the power Y at the (n + 1) / 4 * 3th position; Right now When (n + 1) / 4 cannot be divided evenly, Q2 is the average value of the value of the power Y at the n / 2th position and the value of the power Y at the n / 2 + 1th position: Right now: Among them, when n = 4k + 4, Q1 is the value of the power Y at the 0.25nth position multiplied by 0.75 plus the value of the power Y at the 0.25n + 1th position multiplied by 0.25; Q3 is the value of the power Y at the 0.75nth position multiplied by 0.25 plus the value of the power Y at the 0.75n + 1th position multiplied by 0.75; When n = 4k + 6, Q1 is the value of the power Y at the 0.25n - 0.5th position multiplied by 0.25 plus the value of the power Y at the 0.25n + 0.5th position multiplied by 0.75; Q3 is the value of the power Y at the 0.75n + 0.5th position multiplied by 0.75 plus the value of the power Y at the 0.75n + 1.5th position multiplied by 0.25; That is: When n=4k+4, k=1, 2, 3... When n=4k+6, k=1, 2, 3... Step 3.4: Eliminate outliers, formula: Minimum estimated value: LI1 = Q1 - 1.5(Q3 - Q1); Maximum estimated value: LI3 = Q3 + 1.5(Q3 - Q1); Let X be the wind speed M2, Y be the power K2, Z be the wind direction angle N2, and R be the instantaneous value T2 of the average generator speed; when the value of Y is calculated and processed, eliminate the values where Y > LI3 and Y < LI1; retain the remaining data, and then combine these 40 segments of data together to obtain the new data sample P1; the wind speed M3, power K3, wind direction angle N3, and instantaneous value T3 of the average generator speed. In the sample data, these data horizontally are all corresponding sets of data. After cleaning, the wind speed is denoted as M3, the power is denoted as K3, and a wind speed-power curve is fitted.

8. The method according to claim 7, characterized in that: The specific content of step 4 is as follows: Step 4.1: Use the instantaneous value T3 of the average generator speed and the average wind speed M3 of the data sample P1 to perform matrix multiplication and division through the formula to calculate the tip speed ratio Li = (π * Ti * Hi) / (30 * Vi); Among them, Ti is the data of the instantaneous value of the average generator speed, Hi is the blade radius, which should be marked here and can be modified later, Vi is the data in the Mth column, the abscissa is the wind speed Vi; the ordinate is the tip speed ratio Li Step 4.2: Fit the curve, take the range of slope < 0.8, extract the range of the horizontal axis, and the horizontal axis is the reference range, which is taken as an integer.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the method according to any one of claims 4 to 8.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the method according to any one of claims 4 to 8 is implemented.

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