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Performance modeling of an intelligent emergency evacuation system in buildings on accidental fire occurrence

机译:智能应急疏散系统在意外火灾发生中的智能紧急疏散系统

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Construction of multi-floor buildings have increased multifold in the urban areas due to scarcity of space for the growing population. There is a need for safe evacuation of people in such multi floor buildings during emergency situations such as fire occurrence. In this paper, we present an analytical model of the evacuation scenario on accidental fire using stochastic petri nets. The proposed evacuation model takes into account human behavior parameters such as panic among occupants, and realistic situations namely stampede in the stairwell, and distance of each occupant to the floor exits. The performance of the system is evaluated in terms of evacuation time, pre evacuation delay and average system throughput and compared with those of the evacuation model without human behavior and realistic constraints. The analytical results are validated using the real time evacuation drill measurements in a 10 storey building.
机译:由于人口不断增长的空间稀缺,城市地区的施工增加了多层建筑物的施工。 在诸如火灾发生之类的紧急情况下,需要安全疏散这些多层建筑物。 在本文中,我们使用随机培养网的意外火灾疏散情景的分析模型。 建议的疏散模型考虑了人类行为参数,例如乘员之间的恐慌,以及现实情况即踩踏楼梯间,每个乘员到地板的距离。 在疏散时间,预疏散延迟和平均系统吞吐率方面评估系统的性能,并与无人行为的疏散模型和现实限制相比。 使用10层建筑中的实时抽空钻探测量来验证分析结果。

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