Research on Electric Power Information Security Engineering Evaluation Model System Based on Big Data Information Technology

There is still a lack of perfect information security evaluation system and method in China's power network. In this paper, the power network security evaluation method is established. In this way, the security evaluation of data nodes is realized. The evolution law of cellular automata is extracted by multi-layer feedforward neural network, and the failure probability on different space-time scales is obtained. The steps and components of terminal safety evaluation of power system are given by means of evaluation target TOE technology. The simulation results show that the evaluation method is effective.