Visual Analysis and Mining of Knowledge Graph for Power Network Data Based on Natural Language Processing

Visual analysis and mining of knowledge graph for power network data based on the natural language processing is proposed in this study. Intelligent substation, through the main equipment intelligence, the primary system modularization, the secondary system integration, the communication system network, realizes the remote centralized control to the substation operation adjustment and the electrical operation "one-click" automatic completion. Hence, this paper has 2 core novelties. (1) Under the premise of big data in the power grid, the types, sources, access methods, storage methods and other attributes of the data itself are complex. How to realize the effective data management through visualization of the data itself is one of the important application scenarios. (2) Comprehensive perception refers to not only visualization of the power grid, but also deep perception of the internal operating conditions, and scenario simulation through simulation calculations, assisting analysis and decision-making, and realizing state optimization adjustments. The experimental results have proven the effectiveness.