Design of Intelligent Operation and Maintenance Knowledge Base for Power Metering Verification Device Based on LDA Model

Abstract

The manual operation and maintenance of the measurement verification device has the problems of low efficiency and error-prone. In this paper, a method for construction of the knowledge base of intelligent metering system is proposed based on the Latent Dirichlet Allocation (LDA). Through the fault similarity calculation method of cosine similarity, input fault phenomenon and output fault processing method, intelligent recommendation of fault processing method is realized. The actual application shows that this knowledge base can improve the operation and maintenance efficiency and reduce the operation and maintenance cost without affecting the measurement verification work.