China Safety Science Journal ›› 2026, Vol. 36 ›› Issue (1): 242-248.doi: 10.16265/j.cnki.issn1003-3033.2026.01.0340

• Disaster Prevention and Mitigation Technology and Engineering • Previous Articles     Next Articles

Field experimental study on earthquake disaster data acquisition and 3D modeling

GAO Wenbing1(), GAO Yang2,**(), XU Chencheng1, WANG Chenyang3, XIAO Junhao4, CHEN Bin5   

  1. 1 Graduate School, China People's Police University, Langfang Hebei 065000, China
    2 School of Intelligence Policing, China People's Police University, Langfang Hebei 065000, China
    3 School of Safety Science, Tsinghua University, Beijing 100084, China
    4 College of Intelligence Science and Technology, National University of Defense Technology, Changsha Hunan 410073, China
    5 College of Systems Engineering, National University of Defense Technology, Changsha Hunan 410073, China
  • Received:2025-08-19 Revised:2025-11-17 Online:2026-01-28 Published:2026-07-28
  • Contact: GAO Yang

Abstract:

To evaluate the application performance of UAVs and rescue robots in earthquake disaster data acquisition and three-dimensional (3D) modeling, an air-ground collaborative emergency response field experiment was conducted at the Beichuan earthquake site. In the experiment, fixed-wing UAVs were deployed to acquire aerial images covering the entire earthquake-affected area, from which high-resolution top-view images were generated, while rotary-wing UAVs were used to supplement data collection in key local regions. Meanwhile, the NuBot rescue robot was deployed to enter damaged buildings and collect indoor disaster images and 3D point cloud data through real-time video transmission and lidar scanning, and 3D reconstructions of interior building structures and artificially constructed collapse scenes were produced. Based on the acquired 3D geographic information, a human-machine interaction platform was developed using virtual reality technology to support visualization and interactive analysis of 3D scenes.The experimental results indicate that multi-scale image data covering both the overall earthquake-affected area and local regions were obtained and corresponding high-precision real-scene models were generated. Indoor images and 3D point cloud data were collected in complex environments, forming 3D models of interior building structures. The 3D scene data were visualized in the virtual reality system and applied to human-machine interaction analysis.

Key words: disaster data, unmanned aerial vehicle(UAV), rescue robot, 3D modeling, field experimental, human-machine interaction

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