Research on key technologies for fault knowledge acquisition of power communication equipment
Baoxian Zhou, Dequan Gao, Long Yan, Jinping Cao, Suxiang Zhang, Yiying Zhang
Abstract
With the development of Energy Internet and Smart Grid, power communication equipment has gradually become an important pillar supporting the information transmission. However, when equipment failure occurs, more and more attention has been paid to the rapid realization of equipment fault research and judgment from a large amount of equipment fault information. Based on the fault data of power communication equipment, a fault model of power communication equipment is designed in this paper. It combines BERT and BiLSTM-CRF model for knowledge extraction, and constructs the equipment fault knowledge graph to realize the visual display of power communication equipment. Through this model, fault knowledge extraction can be realized accurately, and a visual model of fault analysis can be formed, which can effectively improve the fault research speed and work efficiency of maintenance personnel.