Construction and Application of Knowledge Graph in Full-service Unified Data Center of Electric Power System

2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering

材料科学;无线电电子学;电工学

Yuan, Wang^1 ; Zhang, Keheng^1 ; Dai, Qicheng^1 ; Peng, Chenhui^1 ; Zhao, Kang^1

NARI Group Co. Ltd., China Realtime Database Co., Ltd, Nanjing

210012, China^1

关键词: Application architecture;    Intelligent search;    Key technologies;    Knowledge graphs;    Prototype system;    Semantic levels;    Service information;    Service process;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/452/3/032065/pdf
DOI  :  10.1088/1757-899X/452/3/032065

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Aiming at the problems of insufficient coordination and sharing of crossservice information and the inadequate utilization of power big data assets, this paper proposes the idea of constructing a power system full-service data knowledge graph combining the background of constructing Full-service Unified Data Center of Electric Power System. Power big data resources can be managed and utilized more intelligently and efficiently by implementing semantic-level connectivity. The application architecture of the knowledge graph in the full-service unified data center is proposed, the key technologies of its construction are analyzed, and a prototype system is built. The system is deployed in the unified data center of State Grid Zhejiang and tested by two typical scenarios of intelligent search and blackout information analysis, the result shows that the knowledge graph can effectively improve the accuracy and recall rate of the search and realize the cross-service information collaboration, optimizing service process.