AC interference corrosion risk evaluation method and system based on FAHP-SVM

The invention discloses an AC interference corrosion risk evaluation method and system based on FAHP-SVM, and the method comprises the steps: collecting the initial data of a buried pipeline, and carrying out the preprocessing of the initial data, and obtaining an initial parameter; performing grey correlation analysis on the initial parameters by using a grey correlation-triangular fuzzy hierarchy method to obtain each characteristic parameter influencing the alternating current interference corrosion of the buried pipeline; the feature parameters serve as input of a trained SVM, and the risk level of the buried pipeline is output; wherein the trained SVM is used for performing training and cross validation on an initial SVM according to a preset data set and outputting an optimal parameter combination, the optimal parameter combination comprises at least one evaluation index, and the evaluation index comprises an accuracy rate, a recall rate or an F1 value. According to the invention, a more scientific and