为提高叶根弯矩的测量精度，提出了一种风力发电机组叶片叶根应力自动化标定的流程和算法。在小风时，控制风力发电机组不并网空转，同时固定叶片在不同桨距角，利用叶片重力在叶根坐标系下产生不同弯矩，从而获得标定输入。基于线性测量假设，采用线性回归的方法，得出标定系数和中心波长。以某国产7 MW大型海上风力发电机组为例，通过仿真验证了所选标定工况的误差满足设计要求，同时将该方法应用于现场测试数据，并利用测试数据进行精度验证，测试结果证明了标定流程和算法的有效性。

In order to improve the measuring accuracy of blade root bending moment, an automatic calibration process and algorithm for wind turbine blade root stress were proposed. When the wind is light, the wind turbine is controlled to idle without grid connection, and the blades are fixed at different pitch angles, and different bending moments are generated by the blade gravity in the blade root coordinate system, so as to obtain the calibration input. Based on the assumption of linear measurement, the calibration coefficient and central wavelength are obtained by linear regression method. Taking a domestic 7 MW large offshore wind turbine as an example, the simulation results verify that the errors of the selected calibration conditions meet the design requirements. At the same time, the method is applied to the field test data, and the accuracy is verified by the test data. The test results prove the validity of the calibration process and the algorithm.