The invention discloses an
electric power communication analysis method based on
big data, and the method comprises the following steps: S1, collecting multi-
modal feature data, and constructing a communication feature
tensor; s2, constructing a communication atlas structure according to the communication equipment connection relationship and the communication feature
tensor; s3, inputting the communication feature
tensor and the communication atlas structure into a multi-
modal residual image convolutional network, and outputting a link degradation
score vector; s4, inputting the link degradation
score vector into an improved mole search optimization
algorithm to generate an optimal threshold vector; s5, introducing the optimal threshold vector into a multi-
modal residual image convolutional network training process, and optimizing the multi-modal residual image convolutional network; and S6, on the basis of the optimized multi-mode residual image convolutional network, generating a degradation judgment result of each link for risk labeling of the power communication network. According to the method, the multi-modal residual image convolutional network and the improved mole optimization
algorithm are fused, and intelligent judgment and risk labeling analysis of the power link are realized.