Laser radar wind measurement motion compensation method and system based on machine learning

The invention discloses a laser radar wind measurement motion compensation method and system based on machine learning, and the method comprises the steps: obtaining the wind measurement data of a laser radar fixed on a buoy and the data of a motion sensor as characteristic variables, and obtaining the wind measurement data of a standard wind measurement device which is fixed near the buoy and is fixedly installed as a target variable; performing data preprocessing on the characteristic variable and the target variable, wherein the data preprocessing comprises converting angle data in the characteristic variable and the target variable into cosine or sine variables; dividing a data set formed by preprocessing the feature variables and the target variables into a training set and a test set; inputting the training set into a plurality of machine learning models for training; according to an evaluation index formed by the R square and the average absolute error, using a test set to evaluate the plurality of mod