Fault Prediction Technology of Power Communication Field based on Fuzzy Petri Net

Abstract

In the field of power communication, the current fault prediction technology has the problem of imperfect prediction model, which leads to short prediction distance. This paper designs a field fault prediction technology of power communication based on Fuzzy Petri net. The fault influence degree is measured, the tolerance mechanism is established, the layer by layer propagation mode is obtained, the fault feature types are divided, the prediction model is constructed based on Fuzzy Petri net, and the resource of database is formed. Combined with the fuzzy set theory, the fault prediction process is designed by using subsection exchange ant colony algorithm. The experimental results show that the average distance between the other two prediction technologies and the designed fault prediction technology is 83.662km, 83.339km and 95.864km, respectively, which proves that the fault prediction technology combined with fuzzy Petri net is more suitable for power communication tasks.