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

Hao Shi, Yudong Fang (), Wei Guo and Qunying Zhang
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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

A chapter in Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026), 2026, pp 203-214 from Springer

Abstract: 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).

Keywords: typical disaster scenarios; search - and - rescue of buried and trapped targets; search - and - rescue operation system (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6239-689-0_20

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DOI: 10.2991/978-94-6239-689-0_20

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