5G/B5G electric power communication network flow analysis method based on multi-time sequence data mining

The invention relates to a 5G/B5G electric power communication network flow analysis method based on multi-time series data mining, and the method comprises the specific steps: 1) analyzing the flow characteristics of a 5G/B5G electric power communication network, 2) building a 5G/B5G electric power communication network flow model, and selecting a multi-time series data mining method to build the flow model, the truth of traffic of a 5G/B5G communication network based on power traffic is described. Different from electric power communication flow analysis in the traditional sense, a 5G/B5G electric power communication flow level is newly divided, a multi-time sequence data mining algorithm is adopted, reasonable statistical description is performed on the 5G/B5G electric power communication flow, and a plurality of flow characteristic time sequences are analyzed as a whole. Effective abnormal network flow characteristic association rules are generated, the safety condition of the whole 5G/B5G electric power