考虑火灾产物动态影响的救援路径规划模型
A Model for Rescue Route Planning Considering the Dynamic Effects of Fire Products
DOI: 10.12677/mos.2025.145446, PDF,    国家自然科学基金支持
作者: 刘佳佳, 谢绍聪:上海理工大学管理学院,上海;盛 春, 房志明*:上海理工大学管理学院,上海;上海理工大学智慧应急管理学院,上海
关键词: 火灾救援多目标救援路径规划改进的Dijkstra算法Fire Rescue Multi-Objective Rescue Route Planning Improved Dijkstra Algorithm
摘要: 为了提升火灾救援效率并保障救援人员的安全,文章采用网格化方法对火场环境进行离散化处理,以最小化救援时间以及救援人员健康损伤为多目标优化函数,综合考虑火场内火灾动态演化过程以及建筑布局的约束条件,构建了一种考虑火灾产物动态影响的救援路径规划模型。并基于所构建模型的特征,提出了一种改进的Dijkstra算法,将路径权值设计为随时间动态变化的救援时间和累积损伤值,从而实现对该模型的有效求解。结果表明:与传统基于最短距离的模型相比,本模型所得的最优路径在救援时间和救援人员累积损伤两个指标上分别实现了57%和93%的显著改善,可以用于支撑火灾救援路径规划。
Abstract: To improve the efficiency of fire rescue and protect the safety of rescue personnel, a rescue route planning model considering the dynamic effects of fire products is constructed by discretizing the fire environment using the grid-based method, the minimization of rescue time and health damage of rescue personnel as the multi-objective optimization function, and considering the dynamic evolution process of fire in the fire scene as well as the constraints of building layout. Based on the characteristics of the constructed model, an improved Dijkstra algorithm is proposed, which designs the path weight as the rescue time and cumulative damage value that dynamically changes with time to achieve an effective solution for the model. The results show that, compared with the traditional model based on the shortest distance, the optimal route obtained by this model achieves a significant reduction of 57% and 93% in the rescue time and the cumulative damage of rescue personnel, respectively, which can be used to support the planning of fire rescue routes.
文章引用:刘佳佳, 盛春, 谢绍聪, 房志明. 考虑火灾产物动态影响的救援路径规划模型[J]. 建模与仿真, 2025, 14(5): 935-945. https://doi.org/10.12677/mos.2025.145446

参考文献

[1] 乔佳, 史艳霞, 王浩陈. 基于改进蚁群算法的森林火灾救援机器人三维路径规划[J]. 消防科学与技术, 2023, 42(7): 989-994.
[2] Zhu, Y., Zhang, G., Chu, R., Xiao, H., Yang, Y. and Wu, X. (2024) Research on Escape Route Planning Analysis in Forest Fire Scenes Based on the Improved A* Algorithm. Ecological Indicators, 166, Article 112355. [Google Scholar] [CrossRef
[3] 王万富, 王琢, 刘佳鑫, 等. 基于改进A*和内螺旋算法的林草火灾救援路径规划[J]. 消防科学与技术, 2022, 41(8): 1138-1142.
[4] 叶继红, 潘俊山. 基于BIM和元胞自动机的建筑火灾救援路径动态规划研究[J]. 土木工程学报, 2020, 53(8): 1-8.
[5] 李杨飞, 江辉仙. 基于BIM的消防灭火动态路径规划研究[J]. 福建师范大学学报(自然科学版), 2022, 38(1): 69-75+116.
[6] 王羽翼. 基于BIM和改进A*算法的高层建筑火灾救援路径的动态规划[D]: [硕士学位论文]. 西安: 西安理工大学, 2022.
[7] 宋英华, 何子慧, 郭晨. 基于火场预测和多出口决策的协同进化救援路径优化方法[J]. 中国安全生产科学技术, 2023, 19(6): 143-150.
[8] Lin, Z. and Tsai, P. (2024) A Method to Accelerate the Rescue of Fire-Stricken Victims. Expert Systems with Applications, 238, Article 122186. [Google Scholar] [CrossRef
[9] 昝新宇, 张铁峰, 苑津莎. 基于改进蚁群算法的移动机器人火灾救援路径规划方法[J]. 科学技术与工程, 2021, 21(17): 7243-7248.
[10] Chou, J., Cheng, M., Hsieh, Y., Yang, I. and Hsu, H. (2019) Optimal Path Planning in Real Time for Dynamic Building Fire Rescue Operations Using Wireless Sensors and Visual Guidance. Automation in Construction, 99, 1-17. [Google Scholar] [CrossRef
[11] 索永峰, 刘天悦, 池天河, 等. 基于室内GIS和定位技术的消防一体化指挥系统[J]. 中国安全生产科学技术, 2014, 10(12): 67-74.
[12] 杨振舰, 庄亚楠, 陈亚东. 基于BIM和改进RRT算法的建筑机器人路径规划[J]. 实验技术与管理, 2024, 41(2): 31-42.
[13] 潘俊山. 基于BIM和元胞自动机的建筑火灾救援路径动态规划研究[D]: [硕士学位论文]. 徐州: 中国矿业大学, 2020.
[14] Zhiming, F., Wei, L., Xiaolian, L. and Weiguo, S. (2019) A Multi-Grid Evacuation Model Considering the Threat of Fire to Human Life and Its Application to Building Fire Risk Assessment. Fire Technology, 55, 2005-2026. [Google Scholar] [CrossRef
[15] 肖霞, 房志明. 基于耦合火灾影响疏散模拟的密闭舱室火灾风险评价[J]. 武汉理工大学学报(信息与管理工程版), 2017, 39(5): 511-514.
[16] 石光莲, 王瑞祥. 基于AR眼镜的图书馆书刊智慧导航系统构建研究[J]. 无线互联科技, 2024, 21(16): 32-39.
[17] 曹光研. 不同运输模式下的铁路快运组织方案研究[D]: [硕士学位论文]. 石家庄: 石家庄铁道大学, 2024.
[18] 张飞凯, 黄永忠, 李连茂, 等. 基于Dijkstra算法的货运索道路径规划方法[J]. 山东大学学报(工学版), 2022, 52(6): 176-182.