科技创新与应用2024，Vol.14Issue(36)：66-70,5.DOI:10.19981/j.CN23-1581/G3.2024.36.015
基于改进蚁群算法的办公区火灾疏散路径优化研究
摘要
Abstract
When a fire breaks out,traditional evacuation routes are often fixed and cannot be adjusted in real time according to the fire situation.This may lead to people fleeing to be led to the fire source and increase the risk of escape.The improved ant colony algorithm(IACO)is applied to dynamic planning of fire evacuation paths.By optimizing heuristic functions and pheromone update methods,global search capabilities and evacuation efficiency are improved.Combined with fire dynamics software(FDS),fire environment parameters and evacuation time are obtained in real time,the safety of evacuation exits is dynamically judged,and safety hazards caused by traditional fixed evacuation paths are avoided.Simulation experiments show that compared with traditional ACO,the IACO model can adjust evacuation routes in real time,avoid dangerous areas and congested exits,significantly reduce evacuation time,and improve the safety and effectiveness of path planning.关键词
火灾模拟/火灾疏散/改进蚁群算法/路径规划/办公区Key words
fire simulation/fire evacuation/improved ant colony algorithm/path planning/office area分类
建筑与水利引用本文复制引用
张庆,伍爱友,曾雯..基于改进蚁群算法的办公区火灾疏散路径优化研究[J].科技创新与应用,2024,14(36):66-70,5.基金项目
2020年湖南省教育厅重点资助项目(20A188) （20A188）
