摘要
在火灾的动态蔓延时如何从复杂的室内环境选择出安全有效的疏散路径是正确引导人群疏散、减少人员伤亡的重要保障,传统静态寻径方法难以考虑到火灾动态蔓延过程。本文提出了一种动态的火灾疏散路径规划方法,通过预测火灾蔓延情况,识别出在安全前提下最短的逃生路线。该方法使用火灾模拟软件(Pyrosim)来提供建筑物内烟雾扩散的预测数据作为动态因素,并结合静态障碍物的影响,使用改进的Dijkstra算法来搜索通向最近出口的最安全且最短的逃生路径。与传统方法不同,改进后的算法会考虑路径上各个节点的安全状况,确保在逃生过程中避开危险区域。模拟测试表明,该方法不仅能有效指导疏散人员到达安全区域,还能最大限度减少人员暴露于烟雾的风险,确保疏散过程顺利进行。
The identification of safe and effective evacuation routes in complex indoor environments under dynamically propagating fire conditions is essential for properly guiding crowd evacuation and minimizing casualties.However,traditional static path-finding methods fail to account for the dynamic progression of fire hazards.This paper proposes a dynamic fire evacuation route planning method that identifies the safest and shortest escape routes by predicting fire spread patterns.The method employs fire simulation software(Pyrosim)to provide predicted data on smoke diffusion within buildings as dynamic factors,integrates the impact of static obstacles,and utilizes an improved Dijkstra algorithm to search for the safest and shortest escape path to the nearest exit.Unlike conventional approaches,the enhanced algorithm considers the safety status of each node along the path,ensuring the avoidance of hazardous areas during evacuation.Simulation tests demonstrate that this method not only effectively guides evacuees to safe zones but also minimizes exposure to smoke risks,ensuring a smooth evacuation process.
作者
张敏
王楠
ZHANG Min;WANG Nan(School of Civil Engineering and Architecture,Anhui Polytechnic University,Wuhu Anhui 241000,China;School of Geography and Tourism,Anhui Normal University,Wuhu Anhui 241000,China)
出处
《佳木斯大学学报(自然科学版)》
2025年第7期83-86,共4页
Journal of Jiamusi University:Natural Science Edition
基金
安徽省教育厅高等学校科研计划项目重点项目(2022AH050185)。
