Research and application of knowledge graph construction technology in the field of intelligent operation inspection of power transformer equipment

Abstract

The question answering method based on knowledge atlas has become a hot research field in natural language processing, and has been gradually applied in the field of electric power. In order to solve the problems such as the difficulty of using unstructured text data and the shallow application depth of equipment knowledge, which exist in the process of power operation and maintenance personnel carrying out transformer equipment inspection, this paper puts forward the technical framework of transformer equipment knowledge map, adopts the intelligent identification and extraction method of structured text, and establishes the calculation model of equipment semantic similarity. On this basis, this paper verifies the functions of automatic audit of transformer equipment status evaluation report, auxiliary diagnosis and recognition of equipment fault knowledge. The experimental results show that the recognition method based on knowledge atlas improves the accuracy of fault defect text recognition, and provides a new idea for improving the operation and maintenance efficiency of field equipment.