Power grid engineering data knowledge retrieval and graph construction technology

The power grid infrastructure project has the characteristics of large scale, long period, and multiple subjects. Therefore, it is determined that a large amount of data with rich sources and complex formats will be generated in the whole process of power grid engineering from design, construction to acceptance. However, due to the lack of effective data extraction and sorting technical means, these data results have a single search method and related queries are difficult, and they cannot be displayed intuitively. This article takes the noise-containing multi-source heterogeneous infrastructure engineering data as the research object, and relies on natural language processing technology to carry out research on the information extraction model and method and the knowledge map construction technology. This method automatically analyzes the natural semantics contained in the text data of the power grid infrastructure project, excavates the valuable information contained therein, and then constructs a data knowledge graph to realize hierarchical storage, visual display and related information recommendation.