Proceedings of the 3rd International Conference on Big Data Economy and Digital Management, BDEDM 2024, January 12–14, 2024, Ningbo, China

Research Article

Research on 3D Visualization Algorithm of Digital Power Grid Based on GIS+BIM Dual Engine

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  • @INPROCEEDINGS{10.4108/eai.12-1-2024.2347243,
        author={Jiyong  Zhang and Bing  Wu and Shuangyin  Qin and Donghui  Liu},
        title={Research on 3D Visualization Algorithm of Digital Power Grid Based on GIS+BIM Dual Engine},
        proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Digital Management, BDEDM 2024, January 12--14, 2024, Ningbo, China},
        publisher={EAI},
        proceedings_a={BDEDM},
        year={2024},
        month={6},
        keywords={data fusion; geographic entity; data model; bim; gis; grid engineering},
        doi={10.4108/eai.12-1-2024.2347243}
    }
    
  • Jiyong Zhang
    Bing Wu
    Shuangyin Qin
    Donghui Liu
    Year: 2024
    Research on 3D Visualization Algorithm of Digital Power Grid Based on GIS+BIM Dual Engine
    BDEDM
    EAI
    DOI: 10.4108/eai.12-1-2024.2347243
Jiyong Zhang1,*, Bing Wu2, Shuangyin Qin3, Donghui Liu1
  • 1: State Grid Economic and Technological Research Institute Co. Ltd
  • 2: Economic Research Institute of State Grid Zhejiang Electric Power Company
  • 3: School of Geomatics and Urban Spatial Informatics Beijing University of Civil Engineering and Architecture
*Contact email: mymail166@sohu.com

Abstract

Aiming at the problems of data fusion and visualization rendering in the grid engineering data platform, this paper starts from the two levels of data fusion and 3D visualization, studies how to use data to construct information entities, and pays attention to how to effectively fuse geographic information to realize the close fusion of BIM (Building Information Modeling) and GIS (Geographic Information System). By introducing related algorithms such as dynamic rendering, we realize the visual presentation of data in 3D space. This research is of great significance for the development of the data platform of digital grid, and provides new ideas and solutions for grid engineering management.