Distribution line fault rate prediction method comprehensively considering subjective and objective influence factors

The invention discloses a distribution line fault rate prediction method which comprehensively considers weather conditions, biological subjective factors, maintenance conditions, service life and the like. The method specifically comprises the following steps: S1, establishing a quantitative index of each influence factor, and establishing a three-dimensional association cloud model considering weather conditions, biological subjective factors and actual service age and a one-dimensional fault cloud model of a distribution line; s2, establishing a language prediction rule of a three-condition single rule, and mining an uncertain inference rule among weather conditions, biological subjective factors, actual equivalent service age and distribution line failure rate; and S3, based on the step S1 and the step S2, establishing a fault rate prediction model of the distribution line. According to the model established by the invention, the effects of various subjective and objective influence factors are fully cons