Wind power blade static load deflection measuring device and method based on satellite precision positioning technology

Abstract

The invention belongs to the technical field of structural component static balance testing, and particularly relates to a wind power blade static load deflection measuring device and method based on the satellite precision positioning technology, and the measuring device comprises a positioning module, a static force applying mechanism, a miniature strain gauge, a computer end and a communication radio station. The positioning module comprises a multi-band circular polarization positioning antenna, an adaptation layer assembly, a resolving module, a communication assembly and a power supply assembly, and the static force applying mechanism is provided with a traction force control module and a tension sensor. The detection method comprises the steps of dynamic adaptation layer initialization, static force loading and two-case data acquisition, two-case data preprocessing, two-case algorithm resolving, dynamic feedback tuning and result integration and output. And in combination with cooperative work of the base station and the mobile station, accurate measurement of the deflection of the wind power blade under the static load condition is realized, and the displacement calculation precision and the test automation level are effectively improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of static balance test of structural parts, and particularly relates to a wind turbine blade static load deflection measuring device and method based on satellite precision positioning technology. BACKGROUND

[0002] With the rapid development of the wind power industry in the direction of high power and long blades, the wind turbine blades are subjected to complex alternating aerodynamic loads, continuous gravity loads and multiple impacts from extreme weather conditions for a long time. These factors together can easily cause a series of progressive damage such as structural material fatigue, local plastic deformation and even macroscopic fracture, which seriously affects the normal operation of the wind power equipment. Therefore, accurate monitoring of the blade structural deformation in static load testing has become a key link to ensure its safety and reliability.

[0003] At present, the method for static load testing in the industry mainly adopts a multi-point loading test method using total station, laser displacement sensor and other measuring equipment. The total station can realize non-contact measurement, but is limited by the line-of-sight condition and manual operation efficiency, and is not only complex in system structure, but also difficult to adapt to the demand for synchronous monitoring of multiple measuring points in most cases, and is prone to the problem of insufficient sampling rate in the dynamic loading process. The laser displacement sensor is easily disturbed by environmental vibration, atmospheric refraction and blade surface reflection, and has relatively poor measurement stability and precision.

[0004] Therefore, it is necessary to study a wind turbine blade static load deflection measuring device and method based on satellite precision positioning technology, which can realize multi-point synchronous loading and measurement, has high-precision three-dimensional deformation monitoring capability and supports automatic data solving. SUMMARY

[0005] In view of the above deficiencies in the prior art, the application provides a wind turbine blade static load deflection measuring device and method based on satellite precision positioning technology, to solve the technical problem that the prior art is limited by line-of-sight visibility, environmental interference and insufficient sampling rate, and is difficult to realize high-precision, multi-point and automatic three-dimensional deformation monitoring.

[0006] In order to solve the above technical problems, the application adopts the following technical solutions:

[0007] A wind turbine blade static load deflection measuring device based on satellite precision positioning technology, comprising: a positioning module, a static force applying mechanism, a micro strain gauge, a computer terminal, a communication radio and a wind turbine blade.

[0008] The positioning module comprises a magnetic base, a multi-band circularly polarized positioning antenna, an adaptive layer assembly, a solving module, a communication assembly and a power supply assembly, the multi-band circularly polarized positioning antenna and the communication assembly are installed on the magnetic base, the positioning module is fixed on the blade clamp through the magnetic base, the multi-band circularly polarized positioning antenna, the adaptive layer assembly, the solving module and the communication assembly are electrically connected in sequence, and the power supply assembly is connected with the multi-band circularly polarized positioning antenna, the adaptive layer assembly, the solving module and the communication assembly.

[0009] The static force applying mechanism comprises a blade clamp, a traction machine, a traction force control module, a steel cable and a tension sensor, the blade clamp is clamped on the wind power blade, the blade clamp is connected with the traction machine through the steel cable, the traction force control module and the tension sensor are further arranged on the traction machine, and the tension sensor is connected with a computer terminal.

[0010] The micro strain gauge is fixedly arranged on the wind power blade and electrically connected with the positioning module.

[0011] Further, the micro strain gauge is fixed on the blade root and the beam cap.

[0012] A detection method of the wind power blade static load deflection measuring device based on the above-mentioned satellite precise positioning technology, comprising the following steps:

[0013] S1, presetting a loading point, a plurality of key loading points and non-key loading points are preset on the wind power blade, and the blade clamp 21 is fixed on the key loading points and the non-key loading points;

[0014] S2, hardware deployment and initialization, one positioning module is used as a reference station, and the other positioning modules are used as mobile stations, the reference station is arranged in a ground unobstructed area and connected with a communication station and a computer terminal, the mobile stations are fixed on the blade clamps through the magnetic bases, and the micro strain gauges are fixed on the key loading points and connected with the mobile stations arranged at the same key loading points;

[0015] S3, dynamic adaptive layer initialization, the adaptive layer assembly adjusts the sampling rate according to the real-time signal-to-noise ratio of the satellite and the sensor type, and obtains an optimized acquisition frequency;

[0016] S4. Static loading and dual-scheme data acquisition: The traction machine applies a gradient-increasing downward force through the steel cable. The tension sensor collects the actual loading force in real time and transmits the gradient sequence number to the base station via a computer. The base station broadcasts the gradient sequence number and timestamp via a communication component. The mobile station receives the broadcast via a communication component. The base station and the mobile station collect satellite observation data through a multi-band circularly polarized positioning antenna and obtain pseudorange observation values ​​and carrier phase observation values. The micro-strain gauge collects strain data and its distance from the key loading point. All data are bound to the gradient sequence number and timestamp, forming two sets of data schemes: Scheme A, which is collected at non-key loading points, and Scheme B, which is collected at key loading points.

[0017] S5. Dual-scheme data preprocessing: The mobile station performs gross error removal and format adaptation on the raw data of the two schemes respectively, and outputs standardized solution input data to the solution module.

[0018] S6. Dual-scheme algorithm solution: The solution module of the mobile station performs single-difference solution, double-difference solution, and ambiguity fixation on two sets of data, data scheme A and data scheme B, in parallel to eliminate signal errors and perform baseline vector solution to finally determine the mobile station coordinates.

[0019] S7. Dynamic feedback optimization: The adaptation layer component evaluates the solution accuracy of the two schemes. If the accuracy does not meet the requirements, the signal acquisition parameters are dynamically adjusted, and the solution process from S3 to S4 is re-triggered to form a closed-loop optimization.

[0020] S8. Results Integration and Output: The computer integrates the results of the two schemes, performs gradient stiffness calculation and comparison, and identifies the weak areas of the wind turbine blades.

[0021] Furthermore, in S3, the specific algorithm formula for dynamically optimizing the acquisition frequency of the adaptation layer component (13) is as follows:

[0022] ,

[0023] in: 20Hz The sampling rate of the micro-strain gauge is set to 35 dB. .

[0024] Furthermore, the traction machine applies a gradient-increasing downward force through the steel cable by incrementing the gradient number t every 10 seconds, starting from 0.

[0025] Furthermore, the gross error removal adopts... The criteria are as follows: for pseudorange observations, carrier phase observations, and micro-strain gauge data, calculate the mean and standard deviation of the t-th gradient, and discard data that deviates from the mean by more than 3 times the standard deviation.

[0026] Furthermore, the method for solving the baseline vector in S6 includes the following steps:

[0027] S6-1. With the reference position of the base station fixed, the pseudorange observations collected by the base station are used to calculate and determine the reference position. The specific calculation formula is as follows:

[0028] , , ,

[0029] in, The number of valid positioning times of the base station within 1 minute. , , For the first The three-dimensional coordinates of the secondary positioning. , , For reference position coordinates,

[0030] At the same time ( , , )and gradient (0) (0) Associated storage, where (0) represents the gradient smoothing force in data scheme A at the t-th gradient. (0) represents the gradient smoothing force in data scheme B;

[0031] S6-2. Perform baseline vector calculation on data scheme A, determined by single-difference calculation, double-difference calculation, and the rover displacement offset after ambiguity fixing. , , The formula for calculating real-time coordinates is as follows:

[0032] , , ,

[0033] in, , , Let be the real-time coordinates of the rover at gradient t in data scheme A. Number the gradient;

[0034] S6-3. Perform baseline vector calculation on data scheme B, determined by single-difference calculation, double-difference calculation, and the displacement offset of the mobile station after ambiguity fixation. , , The formula for calculating real-time coordinates is as follows:

[0035] , , ,

[0036] in, , , Here are the real-time coordinates of the rover at gradient t in data scheme B. The strain correction term is calculated using the following formula:

[0037] ,

[0038] in, The effective strain value retained after preprocessing the data detected by the t-th gradient micro-strain gauge in S5; This represents the distance between the micro-strain gauge and the critical loading point.

[0039] Furthermore, the method for integrating the results of the two schemes in S8 to perform gradient stiffness calculation and comparison includes the following steps:

[0040] S8-1, Displacement Calculation: The formulas for calculating the displacement at gradient t in data scheme A and data scheme B are as follows:

[0041] Data Solution A: ,

[0042] Data Solution B: ,

[0043] in, , These are data scheme A and data scheme B, respectively. The amount of displacement;

[0044] S8-2, Stiffness Calculation: The stiffness calculation formulas for the t-th gradient in data scheme A and data scheme B are as follows:

[0045] Data Solution A: ,

[0046] Data Solution B: ,

[0047] in , These are the first two data schemes, A and B, respectively. Gradient-smooth force application.

[0048] Furthermore, in step S8, the method for identifying weak areas of the wind turbine blades involves setting a stiffness threshold. and strain threshold ;

[0049] For non-critical loading points, when At that time, it was identified as a weak area;

[0050] For critical loading points, when ,and At that time, it was identified as a weak area.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] 1. This invention discloses a device and method for measuring the static deflection of wind turbine blades based on satellite precise positioning technology. By integrating satellite precise positioning and strain sensing technology, it achieves accurate measurement of the deflection of wind turbine blades under static load conditions. The device uses a multi-band circularly polarized antenna and a dynamic adaptation layer component, which can optimize the acquisition frequency in real time according to the satellite signal quality. This effectively solves the problems of traditional optical measurement methods being greatly affected by environmental interference and dependent on line-of-sight conditions. This invention improves the accuracy and reliability of displacement calculation, as well as the accuracy of blade overall stiffness assessment and weak area identification, through multi-point synchronous monitoring and dual-scheme data fusion.

[0053] 2. The present invention discloses a wind turbine blade static load deflection measurement device and method based on satellite precision positioning technology. Through a closed-loop measurement process from data acquisition and processing to feedback optimization, the automation level and efficiency of static load testing are further improved. Through the collaborative work of the base station and the rover station, combined with gradient loading and strain correction, it can operate stably in a relatively complex field environment. Attached Figure Description

[0054] Fig. 1 This is a schematic diagram of the structure of the present invention;

[0055] Fig. 2 This is a schematic diagram of the exploded structure of the present invention;

[0056] Fig. 3 This is a schematic diagram showing the arrangement of the measuring device of the present invention during operation;

[0057] The reference numerals used in the attached figures are as follows:

[0058] 11. Magnetic base; 12. Multi-band circularly polarized positioning antenna; 13. Adaptor layer assembly; 14. Calculation module; 15. Communication assembly; 16. Power supply assembly; 21. Blade clamp; 22. Traction machine; 23. Traction control module; 24. Steel cable; 25. Tension sensor; 3. Miniature strain gauge; 4. Computer terminal; 5. Communication radio; 6. Base station; 7. Rover station; 8. Wind turbine blade. Detailed Implementation

[0059] To enable those skilled in the art to better understand the present invention, the technical solution of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0060] In the description of this application, it should be noted that the directional terms such as "center", "lateral", "longitudinal", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", and "counterclockwise" indicate the orientation and positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. They should not be construed as limiting the specific protection scope of this application.

[0061] It should be noted that the terms "first," "second," etc., in the specification and claims of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0062] Example 1:

[0063] Please see Figs. 1 to 3 As shown, a wind turbine blade static load deflection measurement device based on satellite precision positioning technology includes: a positioning module, a static force application mechanism, a micro strain gauge 3, a computer terminal 4, a communication radio 5, and a wind turbine blade 8.

[0064] The positioning module includes a magnetic base 11 for fixing the positioning module, a multi-band circularly polarized positioning antenna 12 for receiving multi-band satellite signals, an adaptation layer component 13 for optimizing data, a calculation module 14 for calculating data, a communication component 15 for communication between the base station 6, the mobile station 7 and the communication radio 5, and a power supply component 16 for providing power to each component.

[0065] The multi-band circularly polarized positioning antenna 12 and communication component 15 are mounted on the magnetic base 11. The positioning module is fixed to the blade clamp 21 through the magnetic base 11. The multi-band circularly polarized positioning antenna 12, adapter layer component 13, calculation module 14, and communication component 15 are electrically connected in sequence. The power supply component 16 is connected to the multi-band circularly polarized positioning antenna 12, adapter layer component 13, calculation module 14, and communication component 15.

[0066] It should be noted that in this embodiment, the positioning module serving as the base station 6 is placed in an unobstructed area on the ground, fixed by a magnetic base, and connected to the computer terminal 4. The positioning module serving as the mobile station 7 is attached to the blade clamp 21 by its magnetic base 11.

[0067] The static force application mechanism includes a blade clamp 21, a traction machine 22, a traction control module 23, a steel cable 24, and a tension sensor 25. The blade clamp 21 is clamped onto the wind turbine blade 8, and the blade clamp 21 is connected to the traction machine 22 via the steel cable 24. The traction machine 22 is also equipped with a traction control module 23 and a tension sensor 25, and the tension sensor 25 is connected to a computer terminal 4.

[0068] The micro strain gauge 3 is fixedly mounted on the wind turbine blade 8 and electrically connected to the positioning module.

[0069] The micro strain gauge 3 is fixed to the blade root and the beam cap.

[0070] Example 2:

[0071] This embodiment is a measurement method based on the wind turbine blade static load deflection measuring device based on satellite precise positioning technology described in the example, which includes the following steps:

[0072] S1. Pre-set loading points: Multiple critical and non-critical loading points are preset on the wind turbine blade 8, and the blade clamp 21 is fixed on the critical and non-critical loading points. Specifically, after the blade clamp 21 is installed, the steel cable 24 needs to be pre-tightened to ensure that there is no loose steel cable 24.

[0073] S2. Hardware Deployment and Initialization: One positioning module is used as a base station 6, and the other positioning modules are used as mobile stations 7. The base station 6 is placed in an unobstructed area on the ground and connected to the communication radio 5 and the computer terminal 4. The communication radio 5 receives data transmitted by the communication component 15 of the mobile station 7 in real time and transmits it to the computer terminal 4. The mobile station 7 is fixed to the blade clamp 21 by a magnetic base 11. Preferably, the antenna of the communication component 15 of the base station 6 faces an open direction to ensure real-time reception of signals from at least four satellites with a signal-to-noise ratio (SNR) ≥ 30 dB. The micro-strain gauge 3 is fixed at a critical loading point and connected to the mobile station 7 located at the same critical loading point.

[0074] S3. Dynamic adaptation layer initialization: The adaptation layer component 13 adjusts the sampling rate according to the real-time signal-to-noise ratio of the satellite and the sensor type to obtain the optimized acquisition frequency. It should be noted that the adaptation layer component 13 reads the protocol frames of each sensor through the multi-mode data interface, including the NMEA protocol frame output by the multi-band circularly polarized positioning antenna 12, the Modbus protocol frame output by the tension sensor 25, and the Modbus-RTU protocol frame output by the micro-strain gauge 3.

[0075] Specifically, the specific algorithm formula for dynamically optimizing the acquisition frequency of the adaptation layer component (13) is as follows:

[0076] ,

[0077] in: 20Hz The sampling rate of the micro-strain gauge 3 is set to 35 dB. .

[0078] S4. Static loading and dual-scheme data acquisition: The traction machine 22 applies a gradient-increasing downward force via the steel cable 24. Specifically, the traction machine 22 applies the gradient-increasing downward force via the steel cable 24 in such a way that the gradient index t starts from 0 and increases every 10 seconds, the gradient force increment is a fixed value, and the maximum gradient... The calculation formula is:

[0079] ,

[0080] in, Design loads for the blades. The initial loading force, This represents the gradient force increment.

[0081] The tension sensor 25 collects the actual loading force in real time and transmits the gradient sequence number to the base station 6 via the computer terminal 4. The base station 6 broadcasts the gradient sequence number and timestamp via the communication component 15, and the mobile station 7 receives the broadcast via the communication component 15.

[0082] The base station 6 and the rover 7 acquire satellite observation data through the multi-band circularly polarized positioning antenna 12, obtaining pseudorange and carrier phase observation values. The micro-strain gauge 3 acquires strain data and its distance from the key loading point. All data are bound to gradient sequence numbers and timestamps. Two data schemes are formed: Scheme A, which acquires data at non-key loading points, and Scheme B, which acquires data at key loading points.

[0083] S5. Dual-scheme data preprocessing: Mobile station 7 performs gross error removal and format adaptation on the raw data of the two schemes respectively, and outputs standardized solution input data to solution module 14.

[0084] Specifically, the gross error removal adopts... The criteria are as follows: for pseudorange observations, carrier phase observations, and micro-strain gauge data, the mean and standard deviation of the t-th gradient are calculated respectively, and data that deviate from the mean by more than 3 times the standard deviation are removed. This part is existing technology and will not be elaborated on here.

[0085] S6. Dual-scheme algorithm solution: The solution module 14 of the mobile station 7 performs single-difference solution and double-difference solution on two sets of data, data scheme A and data scheme B, in parallel, as well as fixes ambiguity, eliminates signal errors, and performs baseline vector solution to finally determine the coordinates of the mobile station.

[0086] Specifically, the baseline vector calculation method includes the following steps:

[0087] S6-1. With the reference position of base station 6 fixed, the pseudorange observations collected by base station 6 are used to calculate and determine the reference position. The specific calculation formula is as follows:

[0088] , , ,

[0089] in, The number of valid positioning times per minute for base station 6. , , For the first The three-dimensional coordinates of the secondary positioning. , , For reference position coordinates,

[0090] At the same time ( , , )and gradient (0) (0) Associated storage, where (0) represents the gradient smoothing force in data scheme A at the t-th gradient. (0) represents the gradient smoothing force in data scheme B;

[0091] S6-2. Perform baseline vector calculation on data scheme A, determined by single-difference calculation, double-difference calculation, and the displacement offset of rover station 7 after ambiguity fixation. , , The formula for calculating real-time coordinates is as follows:

[0092] , , ,

[0093] in, , , Here are the real-time coordinates of station 7 at gradient t in data scheme A. Number the gradient;

[0094] S6-3. Baseline vector calculation is performed on data scheme B, determined by single-difference calculation, double-difference calculation, and the displacement offset of rover station 7 after ambiguity fixation. , , The formula for calculating real-time coordinates is as follows:

[0095] , , ,

[0096] in, , , Here are the real-time coordinates of station 7 at the t-th gradient of data scheme B. The strain correction term is calculated using the following formula:

[0097] ,

[0098] in, The effective strain value retained after preprocessing the data detected by the t-th gradient micro-strain gauge 3 in S5; This represents the distance between the micro-strain gauge 3 and the critical loading point.

[0099] S7. Dynamic feedback optimization: The adaptation layer component 13 evaluates the solution accuracy of the two schemes. If the accuracy does not meet the requirements, the signal acquisition parameters are dynamically adjusted, and the solution process from S3 to S4 is re-triggered to form a closed-loop optimization.

[0100] S8. Results integration and output: The computer terminal 4 integrates the results of the two schemes, performs gradient stiffness calculation and comparison, and identifies the weak areas of the wind turbine blade 8.

[0101] Specifically, the method for integrating the results of the two schemes to perform gradient stiffness calculation and comparison includes the following steps:

[0102] S8-1, Displacement Calculation: The formulas for calculating the displacement at gradient t in data scheme A and data scheme B are as follows:

[0103] Data Solution A: ,

[0104] Data Solution B: ,

[0105] in, , These are data scheme A and data scheme B, respectively. The amount of displacement;

[0106] S8-2, Stiffness Calculation: The stiffness calculation formulas for the t-th gradient in data scheme A and data scheme B are as follows:

[0107] Data Solution A: ,

[0108] Data Solution B: ,

[0109] in , These are the first two data schemes, A and B, respectively. Gradient smooth loading force

[0110] Specifically, the method for identifying the weak areas of wind turbine blade 8 is to set a stiffness threshold. and strain threshold ;

[0111] For non-critical loading points, when At that time, it was identified as a weak area;

[0112] For critical loading points, when ,and At that time, it was identified as a weak area.

[0113] The above descriptions are merely embodiments of the present invention. Commonly known structures and characteristics of the solutions are not described in detail here. Those skilled in the art are aware of all common technical knowledge in the field prior to the application date or priority date, are aware of all existing technologies in that field, and have the ability to apply conventional experimental methods prior to that date. Those skilled in the art can, under the guidance of this application, improve and implement this solution in combination with their own capabilities. Some typical known structures or methods should not be obstacles for those skilled in the art to implement this application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention. These should also be considered within the scope of protection of the present invention, and will not affect the effectiveness of the implementation of the present invention or the practicality of the patent.

Claims

1. A device for measuring the static load deflection of wind turbine blades based on satellite precise positioning technology, characterized in that, include: Positioning module, static application mechanism, micro strain gauge (3), computer terminal (4), communication radio (5) and wind turbine blade (8); The positioning module includes a magnetic base (11), a multi-band circularly polarized positioning antenna (12), an adapter layer assembly (13), a calculation module (14), a communication component (15), and a power supply component (16). The multi-band circularly polarized positioning antenna (12) and the communication component (15) are mounted on the magnetic base (11). The positioning module is fixed to the blade clamp (21) through the magnetic base (11). The multi-band circularly polarized positioning antenna (12), the adapter layer assembly (13), the calculation module (14), and the communication component (15) are electrically connected in sequence. The power supply component (16) is connected to the multi-band circularly polarized positioning antenna (12), the adapter layer assembly (13), the calculation module (14), and the communication component (15). The static force application mechanism includes a blade clamp (21), a traction machine (22), a traction control module (23), a steel cable (24), and a tension sensor (25). The blade clamp (21) is clamped on the wind turbine blade (8). The blade clamp (21) is connected to the traction machine (22) via the steel cable (24). The traction machine (22) is also equipped with a traction control module (23) and a tension sensor (25). The tension sensor (25) is connected to a computer terminal (4). The micro strain gauge (3) is fixedly mounted on the wind turbine blade (8) and electrically connected to the positioning module.

2. The wind turbine blade static load deflection measuring device based on satellite precise positioning technology according to claim 1, characterized in that: The micro strain gauge (3) is fixed on the blade root and the beam cap.

3. A method for measuring the static load deflection of wind turbine blades, characterized in that, Using the wind turbine blade static load deflection measuring device based on satellite precise positioning technology as described in any one of claims 1-2, the wind turbine blade static load deflection measuring method includes the following steps: S1. Preset loading points: Preset multiple critical loading points and non-critical loading points on the wind turbine blade (8), and fix the blade clamp (21) on the critical loading points and non-critical loading points; S2. Hardware deployment and initialization: One positioning module is used as a base station (6), and other positioning modules are used as mobile stations (7). The base station (6) is placed in an unobstructed area on the ground and connected to the communication radio (5) and the computer terminal (4). The mobile station (7) is fixed on the blade clamp (21) by a magnetic base (11). The micro strain gauge (3) is fixed at the key loading point and connected to the mobile station (7) arranged at the same key loading point. S3. Dynamic adaptation layer initialization: The adaptation layer component (13) adjusts the sampling rate according to the real-time signal-to-noise ratio of the satellite and the sensor type to obtain the optimized acquisition frequency. S4. Static loading and dual-scheme data acquisition: The traction machine (22) applies a gradient-increasing downward force through the steel cable (24). The tension sensor (25) collects the actual loading force in real time and transmits the gradient sequence number to the base station (6) through the computer terminal (4). The base station (6) broadcasts the gradient sequence number and timestamp through the communication component (15). The mobile station (7) receives the broadcast through the communication component (15). The base station (6) and the mobile station (7) collect satellite observation data through the multi-band circularly polarized positioning antenna (12) and obtain pseudorange observation value and carrier phase observation value. The micro strain gauge (3) collects strain data and its distance from the key loading point. All data are bound to the gradient sequence number and timestamp to form two sets of data schemes: data scheme A collected at non-key loading points and data scheme B collected at key loading points. S5. Data preprocessing for both schemes: The mobile station (7) performs gross error removal and format adaptation on the original data of the two schemes respectively, and outputs standardized solution input data to the solution module (14). S6. Dual-scheme algorithm solution: The solution module (14) of the mobile station (7) performs single-difference solution, double-difference solution and ambiguity fixation on two sets of data, data scheme A and data scheme B, in parallel to eliminate signal error and perform baseline vector solution to finally determine the mobile station coordinates. S7. Dynamic feedback optimization: The adaptation layer component (13) evaluates the solution accuracy of the two schemes. If the accuracy does not meet the requirements, the signal acquisition parameters are dynamically adjusted and the solution process from S3 to S4 is re-triggered to form a closed-loop optimization. S8. Results integration and output: The computer terminal (4) integrates the results of the two schemes, performs gradient stiffness calculation and comparison, and identifies the weak areas of the wind turbine blade (8).

4. The method for measuring the static load deflection of a wind turbine blade according to claim 3, characterized in that: In S3, the specific algorithm formula for dynamically optimizing the acquisition frequency of the adaptation layer component (13) is as follows: ， in: 20Hz The sampling rate of the micro-strain gauge (3) is set to 35 dB. .

5. The method for measuring the static load deflection of a wind turbine blade according to claim 3, characterized in that: In S4, the traction machine (22) applies a gradient-increasing downward force through the steel cable (24) in such a way that the gradient number t starts from 0 and increases once every 10 seconds.

6. The method for measuring the static load deflection of a wind turbine blade according to claim 3, characterized in that: In S5, the gross error removal adopts... The criteria are as follows: for pseudorange observations, carrier phase observations and micro-strain gauge (3) data, the mean and standard deviation of the t-th gradient are calculated respectively, and data that deviate from the mean by more than 3 times the standard deviation are removed.

7. The method for measuring the static load deflection of a wind turbine blade according to claim 3, characterized in that: The method for solving the baseline vector in S6 includes the following steps: S6-1. The reference position of the base station (6) is fixed. The pseudorange observations collected by the base station (6) are used to calculate and determine the reference position. The specific calculation formula is as follows: ， ， , in, The number of valid positioning times within 1 minute for the base station (6). , , For the first The three-dimensional coordinates of the secondary positioning. , , For reference position coordinates, At the same time ( , , )and gradient (0) (0) Associated storage, where (0) represents the gradient smoothing force in data scheme A at the t-th gradient. (0) represents the gradient smoothing force in data scheme B; S6-2. Baseline vector calculation is performed on data scheme A, determined by the displacement offset of the mobile station (7) after single-difference calculation, double-difference calculation, and ambiguity fixation. , , The formula for calculating real-time coordinates is as follows: ， ， ， in, , , Let (7) be the real-time coordinates of the mobile station at gradient t in data scheme A. Number the gradient; S6-3. Baseline vector calculation is performed on data scheme B, determined by the displacement offset of the mobile station (7) after single-difference calculation, double-difference calculation, and ambiguity fixation. , , The formula for calculating real-time coordinates is as follows: ， ， ， in, , , For data scheme B, the real-time coordinates of the mobile station (7) at the t-th gradient are given. The strain correction term is calculated using the following formula: ， in, The effective strain value retained after preprocessing the data detected by the t-th gradient micro-strain gauge (3) in S5; The distance between the micro strain gauge (3) and the critical loading point.

8. The method for measuring the static deflection of a wind turbine blade according to claim 7, characterized in that: The method for integrating the results of the two schemes in S8 to perform gradient stiffness calculation and comparison includes the following steps: S8-1, Displacement Calculation: The formulas for calculating the displacement at gradient t in data scheme A and data scheme B are as follows: Data Solution A: , Data Solution B: , in, , These are data scheme A and data scheme B, respectively. The amount of displacement; S8-2, Stiffness Calculation: The stiffness calculation formulas for the t-th gradient in data scheme A and data scheme B are as follows: Data Solution A: , Data Solution B: , in , These are the first two data schemes, A and B, respectively. Gradient-smooth force application.

9. The method for measuring the static load deflection of a wind turbine blade according to claim 8, characterized in that: In S8, the method for identifying the weak areas of the wind turbine blade (8) is to set a stiffness threshold. and strain threshold ; For non-critical loading points, when At that time, it was identified as a weak area; For critical loading points, when ,and At that time, it was identified as a weak area.

Images