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

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

Authors
Hao Shi1, Yudong Fang1, *, Wei Guo1, Qunying Zhang2
1Ministry of Emergency Management Big Data Center, Beijing, China
2Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
*Corresponding author. Email: 20714787@qq.com
Corresponding Author
Yudong Fang
Available Online 28 May 2026.
DOI
10.2991/978-94-6239-689-0_20How to use a DOI?
Keywords
typical disaster scenarios; search - and - rescue of buried and trapped targets; search - and - rescue operation system
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).

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026)
Series
Advances in Economics, Business and Management Research
Publication Date
28 May 2026
ISBN
978-94-6239-689-0
ISSN
2352-5428
DOI
10.2991/978-94-6239-689-0_20How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Hao Shi
AU  - Yudong Fang
AU  - Wei Guo
AU  - Qunying Zhang
PY  - 2026
DA  - 2026/05/28
TI  - Rapid Search-and-Rescue System for Buried Victims in Typical Disaster Scenarios
BT  - Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026)
PB  - Atlantis Press
SP  - 203
EP  - 214
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-689-0_20
DO  - 10.2991/978-94-6239-689-0_20
ID  - Shi2026
ER  -