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火灾环境交互条件下应急疏散路径最优决策算法

洪妍灵 江辉仙 张明锋

福建师范大学学报(自然科学版)2025,Vol.41Issue(2):65-73,9.
福建师范大学学报(自然科学版)2025,Vol.41Issue(2):65-73,9.DOI:10.12046/j.issn.1000-5277.2024020014

火灾环境交互条件下应急疏散路径最优决策算法

A Study on the Optimal Decision Algorithm for Emergency Evacuation Paths under Fire Environment Interaction

洪妍灵 1江辉仙 2张明锋3

作者信息

  • 1. 福建师范大学地理研究所,福建 福州 350117
  • 2. 福建师范大学地理研究所,福建 福州 350117||福建师范大学地理科学学院/碳中和未来技术学院,福建 福州 350117||福建师范大学湿润亚热带生态-地理过程教育部重点实验室,福建 福州 350117
  • 3. 福建师范大学地理研究所,福建 福州 350117||福建师范大学地理科学学院/碳中和未来技术学院,福建 福州 350117
  • 折叠

摘要

Abstract

Due to the complex structure and design of large public buildings,emergency evac-uation becomes challenging for people in finding effective evacuation paths because of the spread of fire.This study utilizes two deep Q-network(DQN)algorithms to identify effective evacuation guid-ance paths for people trapped in a fire simulation environment,considering the emergency evacua-tion speeds of people from different age groups under different levels of smoke diffusion,so as to ob-tain effective evacuation schemes for people trapped in large buildings.The experimental results show that:(1)The application of the DQN algorithm in a fire environment can efficiently generate low-cost optimal guided evacuation paths for indoor fires;(2)The success rate and safety of Duel-ing DQN algorithm in finding optimal evacuation paths are higher than that of the DQN algorithm,making it more suitable for optimal fire evacuation guidance path planning;(3)In the planning of the optimal fire evacuation path,the emergency evacuation speeds of different age groups should be properly considered,so as to provide appropriate guidance on optimal fire evacuation paths for each group.

关键词

DQN算法/不同年龄人群/未知环境模型/疏散速度/Dueling DQN算法

Key words

DQN algorithm/different age groups/unknown environment model/evacuation speed/Dueling DQN algorithm

分类

土木建筑

引用本文复制引用

洪妍灵,江辉仙,张明锋..火灾环境交互条件下应急疏散路径最优决策算法[J].福建师范大学学报(自然科学版),2025,41(2):65-73,9.

基金项目

福建省自然科学基金项目(2022J01621) (2022J01621)

福建省公益类科技重点项目(2021R1002006) (2021R1002006)

福建师范大学学报(自然科学版)

OA北大核心

1000-5277

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