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Field experimental study on earthquake disaster data acquisition and 3D modeling
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Wenbing GAO1, Yang GAO**, 2, Chencheng XU1, Chenyang WANG3, Junhao XIAO4, Bin CHEN5
China Safety Science Journal | 2026, 36(1) : 242 - 248
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China Safety Science Journal | 2026, 36(1): 242-248
• Disaster Prevention and Mitigation Technology and Engineering •
Field experimental study on earthquake disaster data acquisition and 3D modeling
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Wenbing GAO1, Yang GAO**, 2, Chencheng XU1, Chenyang WANG3, Junhao XIAO4, Bin CHEN5
Affiliations
  • 1Graduate School, China People's Police University, Langfang Hebei 065000, China
  • 2School of Intelligence Policing, China People's Police University, Langfang Hebei 065000, China
  • 3School of Safety Science, Tsinghua University, Beijing 100084, China
  • 4College of Intelligence Science and Technology, National University of Defense Technology, Changsha Hunan 410073, China
  • 5College of Systems Engineering, National University of Defense Technology, Changsha Hunan 410073, China
Published: 2026-01-28 doi: 10.16265/j.cnki.issn1003-3033.2026.01.0340
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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.

disaster data  /  unmanned aerial vehicle(UAV)  /  rescue robot  /  3D modeling  /  field experimental  /  human-machine interaction
Wenbing GAO, Yang GAO, Chencheng XU, Chenyang WANG, Junhao XIAO, Bin CHEN. Field experimental study on earthquake disaster data acquisition and 3D modeling[J]. China Safety Science Journal, 2026 , 36 (1) : 242 -248 . DOI: 10.16265/j.cnki.issn1003-3033.2026.01.0340
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Year 2026 volume 36 Issue 1
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2026.01.0340
  • Receive Date：2025-08-19
  • Online Date：2026-07-08
  • Published：2026-01-28
Article Data
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History
  • Received：2025-08-19
  • Revised：2025-11-17
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Affiliations
    1Graduate School, China People's Police University, Langfang Hebei 065000, China
    2School of Intelligence Policing, China People's Police University, Langfang Hebei 065000, China
    3School of Safety Science, Tsinghua University, Beijing 100084, China
    4College of Intelligence Science and Technology, National University of Defense Technology, Changsha Hunan 410073, China
    5College of Systems Engineering, National University of Defense Technology, Changsha Hunan 410073, China
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表12种不同金属材料的力学参数
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Family		 属数
Number of
genus		 种数
Number of
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Percentage of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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