摘要
针对综合建筑火灾中人员疏散路径动态规划问题,以待疏散人员所需逃生时间最短为目标,考虑火灾产物和人群密度对人员逃生速度的影响,构建基于改进蚁群算法的人员疏散路径规划模型。建立由障碍物顶点栅格构成的疏散网络数据模型,改进蚁群算法的启发函数、死锁处理策略,引入烟花算法中的爆炸算子优化蚂蚁路径,以某综合建筑为例进行仿真实验。结果表明:该模型不仅能够避免疏散路径经过危险区域,还可根据建筑环境状况和人员分布情况实时调整疏散路径,提高了人员疏散路径安全性。
Aiming at the problem of dynamic planning of evacuation paths in comprehensive building fires,with the shortest escape time required for evacuees as the goal,considering the impact of fire products and crowd density on the evacuation speed of personnel,an evacuation path planning model based on improved ant colony algorithm is constructed.A evacuation network data model composed of an obstacle vertex grid is established,the inspiration function of the ant colony algorithm and the deadlock processing strategy are improved,the explosion operator in the fireworks algorithm is introduced to optimize the ant path,and a comprehensive building is used as an example for simulation experiments.The results show that the model can not only avoid evacuation paths through the dangerous area,but also adjust the evacuation path according to the construction environment and personnel distribution,which improves the safety of personnel evacuation path.
作者
梁江涛
王慧琴
Liang Jiangtao;Wang Huiqin(School of Information and Control Engineering,Xi’an University of Architecture and Technology,Xi’an 710055,China)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2022年第5期1044-1053,共10页
Journal of System Simulation
基金
陕西省教育厅重点科学研究计划(Z20180411)。
关键词
建筑火灾
路径规划
蚁群算法
人员疏散
烟花算法
building fire
path optimization
ant colony algorithm
evacuation
fireworks algorithms
作者简介
第一作者:梁江涛(1995-),男,硕士生,研究方向为智能建筑。E-mail:893074028@qq.com;通讯作者:王慧琴(1970-),女,博士,教授,研究方向为图像处理与智能建筑。E-mail:hqwang@xauat.edu.cn。
