A blade root load calibration data monitoring method, system, device and medium

By obtaining the maximum design value of blade root load, processing sensor data, and optimizing the blade pitch angle, the problem of inaccurate blade load monitoring was solved, and the safe and stable operation of the wind turbine was achieved.

CN120845273BActive Publication Date: 2026-07-10CRRC WIND POWER(SHANDONG) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CRRC WIND POWER(SHANDONG) CO LTD
Filing Date
2025-09-02
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

The growth of wind turbine blades leads to increased blade flexibility and increased unbalanced loads in the rotor plane. Existing technologies lack accurate blade root load monitoring benchmarks and data processing methods, which affects the stability of wind turbines.

Method used

The maximum design value of blade root load is obtained by iterative optimization method. Coordinate transformation and moving mean filtering are performed by combining sensor data to calculate the load mean and difference. Real-time monitoring and optimization are carried out using load deviation threshold and pitch angle limit table.

Benefits of technology

It enables accurate monitoring and real-time optimization of blade root load, improves the safety and stability of the wind turbine, reduces load deviation, and ensures that the wind turbine operates within a safe range.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention provides a method, system, equipment, and medium for monitoring blade root load calibration data, belonging to the field of wind turbine control technology. Based on wind resource parameters and IEC load calculation standards, the method iteratively calculates the turbine load to obtain the maximum design value of the blade root load. It performs coordinate transformation on the load and moving average filtering on the load signal. It calculates the average blade root load of each of the three blades and the difference between the average blade root load of each individual blade and the average load of the three blades. The difference is compared with the theoretical maximum value of the load in the blade root flapping direction to determine if it exceeds the load deviation alarm threshold. If it does, a wind turbine fault alarm is issued, and pitch optimization actions are performed based on the load deviation and a pitch angle limit table. This method can monitor blade root load calibration data, continuously optimize the wind turbine's operating status, reduce load deviation, and improve the safety and stability of the wind turbine.
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