Previous models for extreme disaster risk assessment of overhead transmission lines only calculated the subjective weight values of risk indicators,resulting in poor evaluation performance.Therefore,an extreme disaster risk assessment model for overhead transmission lines based on improved analytic hierarchy process(AHP)and data mining is designed.Firstly,based on the actual situation of overhead transmission lines,a hierarchical structure of risk assessment system is established from three aspects:fault hidden dangers,operating conditions and natural conditions of transmission lines.And then,by comparing different risk indicators at the same level in pairs,subjective weight value of risk indicators is obtained.The subjective weight value of risk indicators is calculated and improved with the principle of minimum relative entropy to obtain the objective weight value of risk indicators.Finally,data mining technology is used to extract the corresponding risk features and risk levels form historical extreme disaster data,and the corresponding risk assessment model is generated.Through experimental comparison testing,the proposed model based on improved AHP and data mining of extreme disaster risk assessment for overhead transmission lines has an accuracy of 96.7%,and the evaluation effect is good.
维普
万方数据
