Application of knowledge graph in smart grid fault diagnosis
- Autores: Wentao Liu, Zhongxiang Zhou, Kewei Cai, Haojie Lu, Yao Fu
- Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 8, Nº. 2, 2023, págs. 349-360
- Idioma: inglés
- Enlaces
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Resumen
The stability and high quality of electricity are the basic factors which ensure that the residents and enterprises lead a happyand productive life. Therefore, in order to meet the requirements of residents’ life and enterprise production, it is necessaryto improve the efficiency and accuracy of power grid fault diagnosis. In this paper, the knowledge graph is integrated intothe power grid fault diagnosis, and the fault diagnosis system of the knowledge graph is constructed to realise the faultdiagnosis of the power grid. The article first completes the knowledge graph construction through knowledge extraction,knowledge fusion and knowledge processing; then, it completes the construction of the fault scheduling knowledge graphthrough power grid equipment fault records, entity attribute extraction, coreference resolution, relation extraction, relationscreening and data integration; finally, combined with the fault information knowledge analysis technology, it builds apower grid fault diagnosis system using a knowledge graph. Experiments show that using the system to diagnose the faultquantity, fault location and fault analysis information of the pilot power grid not only has ideal efficiency but also has highaccuracy
