Research Article
Research on Extension Method of Knowledge Graph of Power Equipment Health Management based on Blockchain
@INPROCEEDINGS{10.4108/eai.8-12-2023.2344475, author={Xingdong Bai and Shiwen Ling and Xueliang Zhang and Kang Liu}, title={Research on Extension Method of Knowledge Graph of Power Equipment Health Management based on Blockchain}, proceedings={Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8--10, 2023, Guangzhou, China}, publisher={EAI}, proceedings_a={MSIEID}, year={2024}, month={4}, keywords={knowledge graph; electrical equipment; blockchain; health management; data storage; neo4j}, doi={10.4108/eai.8-12-2023.2344475} }- Xingdong Bai
Shiwen Ling
Xueliang Zhang
Kang Liu
Year: 2024
Research on Extension Method of Knowledge Graph of Power Equipment Health Management based on Blockchain
MSIEID
EAI
DOI: 10.4108/eai.8-12-2023.2344475
Abstract
To effectively integrate electrical equipment data and achieve collaborative knowledge building and sharing, this paper proposed a blockchain-based method for expanding the knowledge graph in power equipment health management.Firstly, considering the characteristics of power equipment health management, the overall framework of the knowledge graph was presented, and entity concepts and entity relationships were extracted using rule-based methods and deep learning techniques. Secondly, a blockchain architecture model is designed based on power equipment health management methods, utilizing blockchain technology to enhance the content and functionality of the knowledge graph through data storage, data chaining, and knowledge authentication.Finally, the neo4j diagram database is used for visual display.Experimental results show that this method effectively improves the comprehensiveness of the power equipment health management knowledge graph, achieves knowledge graph expansion, and further enhances the efficiency of power equipment health management.
