Prediction of Pipeline Corrosion Rate Based on New GM(1,N) Model

In order to improve the prediction accuracy of pipeline corrosion rate, a multivariate gray prediction model GM(1,N) was introduced on the basis of the GM(1,1) model. On the basis of the traditional GM(1,N) model, a new structure gray prediction model including the action amount was constructed, the background value was optimized, and the SVM model was introduced to modify the prediction results. The prediction accuracy of the model was verified using field test data. The results showed that: compared with the traditional GM(1,N) model, the prediction accuracy of the pipeline corrosion rate of the new multivariate gray model was improved by 69.9%. The prediction accuracy of this model was relatively high and overcome the shortcomings of traditional models that could accurately predict mid and long-term pipeline corrosion.