| Autre titre | Letter to the editor: a framework for intelligent fire detection and evacuation system |
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| DOI | Trouver le DOI : https://doi.org/10.1007/s10694-021-01157-3 |
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| Auteur | Rechercher : Gomaa, Islam1; Rechercher : Adelzadeh, Masoud1; Rechercher : Gwynne, Steven; Rechercher : Spencer, Bruce2; Rechercher : Ko, Yoon1; Rechercher : Bénichou, Noureddine1; Rechercher : Ma, Chunyun1; Rechercher : Elsagan, Nour1; Rechercher : Duong, Dana1; Rechercher : Zalok, Ehab; Rechercher : Kinateder, Max1 |
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| Affiliation | - Conseil national de recherches du Canada. Construction
- Conseil national de recherches du Canada. Technologies numériques
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| Format | Texte, Article |
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| Résumé | 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. |
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| Date de publication | 2021-07-16 |
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| Maison d’édition | Springer |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 76bfe82e-641a-41dc-8f17-4775c3275f66 |
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| Enregistrement créé | 2022-02-11 |
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| Enregistrement modifié | 2022-02-14 |
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