With the continuous development of real-world 3D, the visualization of multi-source real 3D data fusion is significant for digital twins. Based on SketchUp, this study aims to utilize advanced laser point cloud scanning technology to conduct component-level realistic 3D modeling and to construct a high-precision movable meteorological station-based realistic 3D model. Meanwhile, by utilizing the WebGL architecture of a real-time 3D model visualization platform, the meteorological station model is integrated into the large model of the monitoring scene, achieving functions such as browsing, attribute querying, rotating, scaling, dismantling, explosion, and more flexible interaction and spatial analysis of the movable meteorological station 3D model. The real-time 3D model of this study can not only provide intuitive and comprehensive spatial information support for the design, deployment, and operation of meteorological stations, but also provide a visual foundation for environmental monitoring, disaster response, and other fields.

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Construction of Fusion Visualization Platform for Meteorological Station and Monitoring Application Scenarios

  • Tingting He,
  • Yuantong Jiang,
  • Panlin Hao,
  • Faling Zheng,
  • Yuanrong He

摘要

With the continuous development of real-world 3D, the visualization of multi-source real 3D data fusion is significant for digital twins. Based on SketchUp, this study aims to utilize advanced laser point cloud scanning technology to conduct component-level realistic 3D modeling and to construct a high-precision movable meteorological station-based realistic 3D model. Meanwhile, by utilizing the WebGL architecture of a real-time 3D model visualization platform, the meteorological station model is integrated into the large model of the monitoring scene, achieving functions such as browsing, attribute querying, rotating, scaling, dismantling, explosion, and more flexible interaction and spatial analysis of the movable meteorological station 3D model. The real-time 3D model of this study can not only provide intuitive and comprehensive spatial information support for the design, deployment, and operation of meteorological stations, but also provide a visual foundation for environmental monitoring, disaster response, and other fields.