Roadmap on Industrial Knowledge System for Data-Oriented Intelligent Operation and Maintenance in Chinese Power Industry
Lin Qiao, Ruiting Qu, Shenglong Liu, Yu Zhang, Huiying Wang, Biqi Liu · 2022
To effectively and efficiently manage the information of power industry, especially in the State Grid of China, data-oriented intelligent operation and maintenance have always been a crucial task. Hence, in this paper, the roadmap on industrial knowledge system is presented for data-oriented intelligent operation and maintenance in Chinese power industry. Firstly, the background of the data-oriented intelligent operation and maintenance is described, and it has been pointed out that the core problem is data explosion and lack of knowledge in the data-oriented intelligent operation and maintenance in the State Grid of China. This is important not only for the construction of smart grid, but also for global energy savings. Secondly, as for data-oriented intelligent operation and maintenance, the State Grid data-oriented knowledge graph can be constructed. Then, we study the knowledge-driven multi-scenario intelligent operation decision technologies and information deployment technologies. Finally, the possible research direction of industrial knowledge systems is briefly presented for data-oriented intelligent operation and maintenance in State Grid.