Research on Regional Energy Visualization Based on Knowledge Graph

The equipment information in the regional energy system is difficult to retrieve and amount of data too large realize intelligent application. In order solve problem, this paper proposes a visualization research method based on knowledge graph. Firstly, collected classified. Secondly, framework defined for unstructured data, which be recognized by computer, hidden Markov model used word segmentation labeling. Finally, are processed construct graph, map structure represented ternary group graph structure, retrieval designed. can efficiently process natural language intelligence equipment. It provides strong guarantee efficient stable operation energy-related has wide range practical application value.