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作 者:罗洪波 张英[2] 王佳宁 LUO Hongbo;ZHANG Ying;WANG Jianing(Wuhan City Fire Rescue Brigade,Wuhan 430070,China;不详)
机构地区:[1]武汉消防支队,湖北武汉430070 [2]武汉理工大学安全科学与应急管理学院,湖北武汉430070
出 处:《武汉理工大学学报(信息与管理工程版)》2025年第1期31-37,共7页Journal of Wuhan University of Technology:Information & Management Engineering
基 金:武汉市城建局科技计划项目(202231);三峡后续工作科技项目(SXHXGZ-2021-5).
摘 要:随着我国城镇化发展持续推进,高层建筑数量急剧增长,超高层建筑建筑火灾形势严峻,其消防安全管理和防治技术依然存在待解决的问题。为此,从物联网数据的视角分析影响超高层建筑火灾风险水平的数据对象、类型及其采集方法,并考虑事后救援在火灾韧性理念中的影响,构建高层建筑火灾韧性动态风险评估指标体系,最后提出基于物联网技术和韧性理念的超高层建筑火灾风险动态评估方法,依靠物联网技术与监控系统及其内部消防设施之间的通讯实现多线程数据驱动,适应当前消防系统数据多样化的发展需求。With the continuous development of urbanization,the number of high-rise buildings has increased sharply,and the fire situation of super high-rise buildings is severe,and there are still problems to be solved in fire safety management and prevention technology.Therefore,this paper analyzed the data objects,types and collection methods that affect the fire risk level of super tall buildings from the perspective of Internet of Things data,and considered the impact of post-rescue in the fire toughness concept,established a dynamic risk assessment index system for high-rise building fire toughness.Finally,a dynamic fire risk assessment method for super tall buildings based on Internet of Things technology and toughness concept was proposed,which relies on the communication between logistics network technology and monitoring system and its internal fire protection facilities to achieve multi-threaded data driven,to adapt to the current fire protection system data diversification development needs.
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