A BIM-Based Smart System for Fire Evacuation
Type de document :
Article dans une revue scientifique: Article original
DOI :
URL permanente :
Titre :
A BIM-Based Smart System for Fire Evacuation
Auteur(s) :
Wehbe, Rania [Auteur]
Shahrour, Isam [Auteur]
Laboratoire de Génie Civil et Géo-Environnement (LGCgE) - ULR 4515 [LGCgE]
Shahrour, Isam [Auteur]

Laboratoire de Génie Civil et Géo-Environnement (LGCgE) - ULR 4515 [LGCgE]
Titre de la revue :
Future Internet
Pagination :
221
Éditeur :
MDPI
Date de publication :
2021-09
ISSN :
1999-5903
Discipline(s) HAL :
Sciences de l'ingénieur [physics]
Résumé en anglais : [en]
Building fires constitute a significant threat that affects property, the environment, and human health. The management of this risk requires an efficient fire evacuation system for buildings’ occupants. Therefore, a smart ...
Lire la suite >Building fires constitute a significant threat that affects property, the environment, and human health. The management of this risk requires an efficient fire evacuation system for buildings’ occupants. Therefore, a smart fire evacuation system that combines building information modeling (BIM) and smart technologies is proposed. The system provides the following capacities: (i) early fire detection; (ii) the evaluation of environmental data; (iii) the identification of the best evacuation path; and (iv) information for occupants about the best evacuation routes. The system was implemented in a research building at Lille University in France. The results show the system’s capacities and benefits, particularly for the identification of the best evacuation paths.Lire moins >
Lire la suite >Building fires constitute a significant threat that affects property, the environment, and human health. The management of this risk requires an efficient fire evacuation system for buildings’ occupants. Therefore, a smart fire evacuation system that combines building information modeling (BIM) and smart technologies is proposed. The system provides the following capacities: (i) early fire detection; (ii) the evaluation of environmental data; (iii) the identification of the best evacuation path; and (iv) information for occupants about the best evacuation routes. The system was implemented in a research building at Lille University in France. The results show the system’s capacities and benefits, particularly for the identification of the best evacuation paths.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Source :
Date de dépôt :
2025-02-26T10:15:34Z
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