Knowledge Base System of Electrical Equipment Management and Potential Risk Control Based on Natural Language Processing Technology

Abstract

Electrical equipment management and potential risk control involve complicated data levels and various types of problems. To meet the demand for precise positioning requirements of information in this field, it is necessary to improve the management efficiency and accuracy of electrical equipment and decrease potential risks of electrical equipment. Moreover, natural language processing technology and knowledge graph technology are introduced to process relevant data and build a knowledge model. A knowledge base of electrical equipment management and potential risk control based on a knowledge graph was constructed. Besides, effective information related to Electrical equipment management and potential risk control was extracted through intelligent retrieval of storage knowledge and knowledge base, thus realizing intelligent retrieval applications.