虚拟现实系统中疏散路径规划算法的研究与应用
发布时间：2019-05-23 14:06
【摘要】：现代建筑的设计随着科技的发展愈加复杂化与大型化,而建筑火灾的发生往往具有突发性,由于缺乏有效的疏散指引以及疏散人员的恐慌心理导致疏散效率低下,因此如何对处在建筑火灾中的人员进行合理高效的疏散也成为了研究重点。由于传统的疏散方案仅以路径最短或者时间最短这种单一目标对疏散人员的路径进行规划,而在实际建筑火灾人员疏散过程中,单一目标由于其局限性往往不能反映出实际应急疏散。为了保证安全且快速的疏散,需要对疏散人员所选择的路径上的多个目标进行决策。本文以全体疏散人员疏散时间、拥堵度,风险作为路径决策的三个目标,构建出相应的多目标应急疏散模型,并以建筑的数据模型为基础,添加相应的路径参数构建动态路径模型。由于基本粒子群算法对解决实际多目标问题效果不是很好,将粒子群算法中适应度函数进行修改;粒子的位置和速度公式进行修正以及使用线性惯性权值等方式优化。将改进后的多目标粒子群算法为每个疏散人员的火条动态路径进行决策,同时对三个目标进行优化,从疏散人员整体考虑,为疏散人员个体提供适合的疏散路径。本文通过对盛京银行虚拟逃生指示系统的设计与实现,将改进的多目标粒子群算法应用于三维的逃生指示系统中的疏散路径智能优化模块,同时优化三个目标对疏散人员的路径进行分析决策,将决策后的路径以三维可视化的方式显示在终端,为决策人员以及疏散人员在火灾发生时提供一个合理的疏散方案。
[Abstract]:The design of modern architecture is more complicated and larger with the development of science and technology, and the occurrence of building fire is often bursty. Therefore, how to reasonably and efficiently evacuate the personnel in the building fire has also become the focus of the research. Because the traditional evacuation plan is only the shortest path or the shortest time, the path of the scattered personnel is planned, and in the course of the evacuation of the actual building fire, the single goal cannot reflect the actual emergency evacuation because of its limitation. In order to ensure a safe and rapid evacuation, it is necessary to make a decision on a plurality of objects on the path selected by the evacuee. The corresponding multi-objective emergency evacuation model is constructed based on the data model of the building and the corresponding path parameters are added to construct the dynamic path model based on the data model of the building. Because the basic particle swarm optimization is not good for solving the actual multi-objective problem, the fitness function in the particle swarm optimization is modified, the position and velocity formula of the particles are modified, and the linear inertia weight is used to optimize the particle swarm optimization. The improved multi-target particle swarm algorithm is used to make a decision for the dynamic path of the fire bar of each of the evacuees, and the three objectives are optimized, and the suitable evacuation route is provided for the individual of the evacuees. In this paper, through the design and implementation of the virtual escape instruction system of Shengjing Bank, the improved multi-objective particle swarm optimization algorithm is applied to the intelligent optimization module of the evacuation route in the three-dimensional escape instruction system, and the path of the three targets is optimized for analysis and decision. The decision-making path is displayed on the terminal in a three-dimensional visual way, and a reasonable evacuation plan is provided for the decision-maker and the dispersion personnel in the event of a fire.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TU998.1;TP18;TP311.52
本文编号：2483961
[Abstract]:The design of modern architecture is more complicated and larger with the development of science and technology, and the occurrence of building fire is often bursty. Therefore, how to reasonably and efficiently evacuate the personnel in the building fire has also become the focus of the research. Because the traditional evacuation plan is only the shortest path or the shortest time, the path of the scattered personnel is planned, and in the course of the evacuation of the actual building fire, the single goal cannot reflect the actual emergency evacuation because of its limitation. In order to ensure a safe and rapid evacuation, it is necessary to make a decision on a plurality of objects on the path selected by the evacuee. The corresponding multi-objective emergency evacuation model is constructed based on the data model of the building and the corresponding path parameters are added to construct the dynamic path model based on the data model of the building. Because the basic particle swarm optimization is not good for solving the actual multi-objective problem, the fitness function in the particle swarm optimization is modified, the position and velocity formula of the particles are modified, and the linear inertia weight is used to optimize the particle swarm optimization. The improved multi-target particle swarm algorithm is used to make a decision for the dynamic path of the fire bar of each of the evacuees, and the three objectives are optimized, and the suitable evacuation route is provided for the individual of the evacuees. In this paper, through the design and implementation of the virtual escape instruction system of Shengjing Bank, the improved multi-objective particle swarm optimization algorithm is applied to the intelligent optimization module of the evacuation route in the three-dimensional escape instruction system, and the path of the three targets is optimized for analysis and decision. The decision-making path is displayed on the terminal in a three-dimensional visual way, and a reasonable evacuation plan is provided for the decision-maker and the dispersion personnel in the event of a fire.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TU998.1;TP18;TP311.52
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