Insulator pollution flashover early warning method based on meteorological parameters and support vector machine

The invention provides an insulator pollution flashover early warning method based on meteorological parameters and a support vector machine, and the method comprises the following steps: S1, collecting insulator pollution flashover accident data which comprises historical pollution flashover accident information and meteorological data when a pollution flashover accident occurs; s2, preprocessing the collected historical pollution flashover accident information and meteorological data; s3, constructing a support vector machine model, and inputting the data preprocessed in the step S2 into the support vector machine model to train the support vector machine model; s4, performing parameter optimization on the trained support vector machine model, and establishing a global optimal prediction model; and S5, collecting meteorological data of an environment where the insulator is located in real time, inputting the meteorological data into the global optimal prediction model for processing and judging whether the