Zhang Jinyue, Guo Jianing, Xiong Haiming, Liu Xiangchi, Zhang Daxin
Tianjin University-Trimble Joint Laboratory for BIM, Department of Construction Management, Tianjin University, 92 Weijin Road, Tianjin 300072, China.
China Railway Construction Group Co., Ltd., 20 Shijingshan Road, Beijing 100040, China.
Sensors (Basel). 2019 Jul 16;19(14):3128. doi: 10.3390/s19143128.
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.
许多研究都集中在火灾疏散规划上。然而，由于火灾发展存在不确定性，不存在完美的解决方案。本研究提出了一个火灾疏散管理框架，该框架利用信息丰富的建筑信息模型（BIM）模型和基于蓝牙低功耗（BLE）的室内实时定位系统（RTLS），向建筑内人员的智能手机动态推送个性化疏散路线建议和逐向导航。每条可能路线的风险评分（RS）作为该路线上所有路段所有风险因素的风险水平指标值的加权总和进行评估，并将RS最低的路线推荐给疏散人员。系统将根据最新信息每2秒自动重新评估所有路线，如果有新的更安全路线，将通知疏散人员。在中国天津的一座商业办公楼进行了一个包含两个测试场景的案例研究，以验证该框架。
