A framework for intelligent fire detection and evacuation system

Alternative title	Letter to the editor: a framework for intelligent fire detection and evacuation system
DOI	Resolve DOI: https://doi.org/10.1007/s10694-021-01157-3
Author	Search for: Gomaa, Islam¹; Search for: Adelzadeh, Masoud¹; Search for: Gwynne, Steven; Search for: Spencer, Bruce²; Search for: Ko, Yoon¹; Search for: Bénichou, Noureddine¹; Search for: Ma, Chunyun¹; Search for: Elsagan, Nour¹; Search for: Duong, Dana¹; Search for: Zalok, Ehab; Search for: Kinateder, Max¹
Affiliation	National Research Council Canada. Construction National Research Council Canada. Digital Technologies
Format	Text, Article
Abstract	Fire incidents in large buildings pose challenges for occupants and first responders. Occupants need to find safe evacuation routes while first responders need to maneuver their way into the building. Fire conditions can become uncontrollable without warning to those located in remote sections of the building. Application of Artificial Intelligence (AI) could help guide occupants to safe evacuation routes and first responders into the building. Here, we propose an integrated trained AI and data collection system that can make short-term predictions on fire behaviour, structural integrity and optimal egress path(s). The system can distribute guidance to users via mobile devices or public address systems.
Date published	2021-07-16
Publisher	Springer
In	Fire Technology 57, no. 6 (16 July 2021): 3179–3185.
Language	English
Peer reviewed	Yes
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Record identifier	76bfe82e-641a-41dc-8f17-4775c3275f66
Record created	2022-02-11
Record modified	2022-02-14

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Date modified:: 2026-07-11