A Framework for an Intelligent and Personalized Fire Evacuation Management System
1
Tianjin University-Trimble Joint Laboratory for BIM, Department of Construction Management, Tianjin University, 92 Weijin Road, Tianjin 300072, China
2
China Railway Construction Group Co., Ltd., 20 Shijingshan Road, Beijing 100040, China
3
Guangxi Hualan Engineering Management Co., Ltd., 23-39 Huadong Road, Nanning 530011, Guangxi, China
4
Tianjin University Research Institute of Architectural Design and Urban Planning, Tianjin University, 192 Anshanxi Road, Tianjin 300073, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(14), 3128; https://doi.org/10.3390/s19143128
Received: 14 May 2019 / Revised: 8 July 2019 / Accepted: 9 July 2019 / Published: 16 July 2019
(This article belongs to the Special Issue Sensor Applications on Built Environment)
Many research studies have focused on fire evacuation planning. However, because of the uncertainties in fire development, there is no perfect solution. This research proposes a fire evacuation management framework which takes advantage of an information-rich building information modeling (BIM) model and a Bluetooth low energy (BLE)-based indoor real-time location system (RTLS) to dynamically push personalized evacuation route recommendations and turn-by-turn guidance to the smartphone of a building occupant. The risk score (RS) for each possible route is evaluated as a weighted summation of risk level index values of all risk factors for all segments along the route, and the route with the lowest RS is recommended to the evacuee. The system will automatically re-evaluate all routes every 2 s based on the most updated information, and the evacuee will be notified if a new and safer route becomes available. A case study with two testing scenarios was conducted for a commercial office building in Tianjin, China, in order to verify this framework.
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Keywords:
fire evacuation management; building information modeling; real-time location system; smartphone; personalized routing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Zhang, J.; Guo, J.; Xiong, H.; Liu, X.; Zhang, D. A Framework for an Intelligent and Personalized Fire Evacuation Management System. Sensors 2019, 19, 3128.
AMA Style
Zhang J, Guo J, Xiong H, Liu X, Zhang D. A Framework for an Intelligent and Personalized Fire Evacuation Management System. Sensors. 2019; 19(14):3128.
Chicago/Turabian StyleZhang, Jinyue; Guo, Jianing; Xiong, Haiming; Liu, Xiangchi; Zhang, Daxin. 2019. "A Framework for an Intelligent and Personalized Fire Evacuation Management System" Sensors 19, no. 14: 3128.
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