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Rapid Search-and-Rescue System for Buried Victims in Typical Disaster Scenarios

In: Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026)

Author

Listed:
  • Hao Shi

    (Ministry of Emergency Management Big Data Center)

  • Yudong Fang

    (Ministry of Emergency Management Big Data Center)

  • Wei Guo

    (Ministry of Emergency Management Big Data Center)

  • Qunying Zhang

    (Chinese Academy of Sciences, Aerospace Information Research Institute)

Abstract

Facing typical disasters such as earthquakes, landslides, and debris flows—characterized by sudden onset, high destructiveness, and wide-area impact—rapid post-disaster rescue of trapped individuals is the core objective of emergency relief. To improve the efficiency of locating and rescuing those trapped, this work analyzes the operational characteristics of diverse search technologies and equipment. It integrates the disaster-caused features of typical scenarios, the entrapment environment, and the distribution of entrapment to establish an air–space–ground–human integrated three-dimensional search pattern. This framework enables the coordination of multiple sensing platforms, fusion of heterogeneous data, and joint operations by responders, thereby providing a new paradigm for rapid and precise detection of large-scale, deeply buried targets in wide-area search and rescue (SA).

Suggested Citation

  • Hao Shi & Yudong Fang & Wei Guo & Qunying Zhang, 2026. "Rapid Search-and-Rescue System for Buried Victims in Typical Disaster Scenarios," Advances in Economics, Business and Management Research, in: Ljiljana Trajkovic & José Alfredo F. Costa & Zaher Al Aghbari & Nor Azman Ismail & Dariusz Jacek Jak (ed.), Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026), pages 203-214, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-689-0_20
    DOI: 10.2991/978-94-6239-689-0_20
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