Title
A Framework for an Intelligent and Personalized Fire Evacuation Management System.
Abstract
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.
Year
DOI
Venue
2019
10.3390/s19143128
SENSORS
Keywords
Field
DocType
fire evacuation management,building information modeling,real-time location system,smartphone,personalized routing
Risk level,Transport engineering,SAFER,Electronic engineering,Engineering,Building information modeling,Management system,Real-time locating system,Bluetooth Low Energy,Location systems
Journal
Volume
Issue
ISSN
19
14
1424-8220
Citations 
PageRank 
References 
1
0.43
0
Authors
5
Name
Order
Citations
PageRank
Jinyue Zhang110.43
Jianing Guo210.43
Haiming Xiong310.43
Xiangchi Liu410.43
Daxin Zhang510.43