Key points of knowledge graph construction technology for fault analysis

Junqin Shi; Feng Chen

doi:10.1117/12.2670416

1 June 2023 Key points of knowledge graph construction technology for fault analysis

Junqin Shi, Feng Chen

Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 1262525 (2023) https://doi.org/10.1117/12.2670416
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China

Abstract

In the context of the new era, with the continuous development of social economy and information technology, the software and hardware coupling relationship of information system becomes more and more complex, and more and more information is stored in the market, which makes the information system fault more likely to occur and difficult to locate. According to this problem, the knowledge graph construction technology is applied to the information system construction, and the knowledge graph construction technology oriented to fault analysis is proposed, which can not only store and manage large quantities of data information, but also can dig the data rules deeply. Therefore, based on the knowledge graph construction technology, this paper explores the key points of knowledge graph construction technology for fault analysis based on the construction and application of power transmission information system. The final experimental results prove that the knowledge graph and construction technology can more intuitively show the association between faults and early warning, and accurately locate system faults according to the artificial intelligence algorithm, providing data basis for relevant departments.

Citation Download Citation

Junqin Shi and Feng Chen "Key points of knowledge graph construction technology for fault analysis", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 1262525 (1 June 2023); https://doi.org/10.1117/12.2670416

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