Paper
23 May 2023 Research and application of knowledge graph construction technology in the field of intelligent operation inspection of power transformer equipment
Boyi Zhang, Xinghua Liu, Suyun Ji, Xuejie Yang, Tongping Xie, Yang Yu, Fei Li
Author Affiliations +
Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126042Z (2023) https://doi.org/10.1117/12.2674813
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China
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.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Boyi Zhang, Xinghua Liu, Suyun Ji, Xuejie Yang, Tongping Xie, Yang Yu, and Fei Li "Research and application of knowledge graph construction technology in the field of intelligent operation inspection of power transformer equipment", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126042Z (23 May 2023); https://doi.org/10.1117/12.2674813
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KEYWORDS
Transformers

Data modeling

Inspection equipment

Inspection

Instrument modeling

Manufacturing

Semantics

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