|本期目录/Table of Contents|

[1]贾进章,李雪娇.基于遗传-蚁群算法的单层建筑火灾疏散路径规划研究[J].中国安全生产科学技术,2020,16(6):122-126.[doi:10.11731/j.issn.1673-193x.2020.06.020]
 JIA Jinzhang,LI Xuejiao.Research on evacuation path planning in single-story building fire based on genetic-ant colony algorithm[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2020,16(6):122-126.[doi:10.11731/j.issn.1673-193x.2020.06.020]
点击复制

基于遗传-蚁群算法的单层建筑火灾疏散路径规划研究
分享到:

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
16
期数:
2020年6期
页码:
122-126
栏目:
职业安全卫生管理与技术
出版日期:
2020-06-30

文章信息/Info

Title:
Research on evacuation path planning in single-story building fire based on genetic-ant colony algorithm
文章编号:
1673-193X(2020)-06-0122-05
作者:
贾进章李雪娇
(1.辽宁工程技术大学 安全科学与工程研究院,辽宁 阜新 123000;
2.辽宁工程技术大学 安全科学与工程学院,辽宁 阜新 123000;
3.矿山热动力灾害与防治教育部重点实验室,辽宁 葫芦岛 125105 )
Author(s):
JIA Jinzhang LI Xuejiao
(1.Research Institute of Safety Science and Engineering,Liaoning Technical University,Fuxin Liaoning 123000,China;
2.College of Safety Science and Engineering,Liaoning Technical University,Fuxin Liaoning 123000,China;
3.Key Laboratory of Mine Thermomotive Disaster and Prevention of Ministry of Education,Huludao Liaoning 125105,China)
关键词:
遗传-蚁群算法建筑火灾人员逃生路径规划
Keywords:
genetic-ant colony algorithm building fire personnel escape path planning
分类号:
X913.1
DOI:
10.11731/j.issn.1673-193x.2020.06.020
文献标志码:
A
摘要:
为解决如何快速、有效地找出单层建筑火灾最佳疏散路径问题,分析火灾发生时可能影响人员逃生及最佳路径生成的因素。提出基于遗传-蚁群算法求解火灾时期人员疏散路径。运用遗传算法的快速全局搜索能力,对蚁群算法初期所需要的信息素进行快速处理;利用蚁群算法的正反馈机制,快速找出可行路径,缩短搜索时间;并运用Matlab软件对其进行仿真。结果表明:遗传-蚁群算法所求得的路径生成质量有明显提高,并缩短路径生成时间,有助于提高人员逃生效率,降低人员伤亡率。
Abstract:
Aiming at the problem of how to find the optimal evacuation path quickly and effectively during the fire of singlestory buildings,the factors that may affect the personnel escape and the generation of optimal path during the fire were analyzed.A method based on the geneticant colony algorithm was proposed to solve the personnel evacuation path in the fire.Firstly,the fast global search capability of the genetic algorithm was used to quickly process the pheromones required by the initial period of ant colony algorithm.Secondly,the feasible path were found out rapidly by using the positive feedback mechanism of the ant colony algorithm,so as to shorten the search time.Finally,the Matlab software was used for simulation.The results showed that the quality of path generation obtained by the geneticant colony algorithm was significantly improved,the time of path generation was shortened,which contributes to improve the efficiency of personnel escape and reduce the personnel casualties.

参考文献/References:

[1]PELECHANO N,O’BRIEN K,SILVERMAN B.Crowd simulation incorporating agent psychological models,roles and communication[C]//First International Workshop on Crowd Simulation.Switzerland:Elsevier Ltd,2013:21-30.
[2]ALIZADEH R.A dynamic cellular automaton model for evacuation process with obstacles[J].Safety Science,2011,49(2):315-323.
[3]田冬梅.火灾中安全疏散机理的研究[D].衡阳:南华大学,2006.
[4]褚冠全,孙金华,王青松,等,疏散准备时间及出口宽度对人员疏散影响的模拟[J].科学通报,2006,51(6):738-744.
[5]宋卫国,于彦飞,陈涛.出口条件对人员疏散的影响及其分析[J].火灾科学,2003,12(2):100-104.
[6] ABDELGHANY A,ABDELGHANY K,MAHMASSANI H,et al.Modeling framework for optimal evacuation of large-scale crowded pedestrian facilities[J].European Journal of Operational Research,2014,237(3):1105-1118.
[7]温丽敏.重大事故应急疏散研究[D].沈阳:东北大学,2000.
[8]王付宇,王骏.突发事件情景下地铁站人员应急疏散问题综述[J].计算机应用研究,2018,35(10):2888-2893. WANG Fuyu,WANG Jun.Summary of emergency evacuation of subway personel in emergency situations[J].Journal of Computer Applications,2008,35(10):2888-2893.
[9]姜立,韩战钢.拥挤系统阻碍物位置的遗传算法优化[J].北京师范大学学报(自然科版),2015,51(2):144-147. JIANG Li,HAN Zhangang.Using genetic algorithm to optimize obstacle location in a crowded system[J].Journal of Beijing Normal University (Science of Nature),2015,51(2):144-147.
[10]常淮阳.基于改进蚁群算法的移动机器人路径规划问题研究[D].吉林:长春工业大学,2018.
[11]黄永青,杨善林,梁昌勇.交互式蚁群遗传算法[J].小型微型计算机系统,2016,37(11):2567-2570. HUANG Yongqing,YANG Shanlin,LIANG Changyong.Interactive ant colony genetic algorithm[J].Journal of Chinese Computer Systems,2016,37(11):2567-2570.
[12]徐志奇.井下瓦斯蔓延趋势分析与避灾路线动态规划方法[J].内蒙古煤炭经济,2017(13):128-129.
[13]张志魁.基于Pyrosim和Pathfinder的建筑火灾数值模拟和安全疏散研究[D].天津:天津理工大学,2015.
[14]褚冠全,汪金辉.建筑火灾人员疏散风险评估[M].北京:科学出版社,2017.
[15]马泓坤.高层建筑火灾中烟雾的危害及控制[J].消防界(电子版),2017(3):50.

相似文献/References:

[1]阎卫东,张宪立.建筑物火灾时人员的认知水平对疏散心理和行为影响研究[J].中国安全生产科学技术,2010,6(5):108.
 YAN Wei-dong,ZHANG Xian-li.Study on effect of people’s cognitive level on evacuation psychology and behavior in building fire[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2010,6(6):108.
[2]侯龙飞,李铭,崔武远,等.风速对高层建筑火灾时环境中烟气分布的影响[J].中国安全生产科学技术,2011,7(8):53.
 HOU Long-fei,LI Ming,CUI Wu-yuan,et al.The Influence of the wind speed on the soot distribution in the high-rise building fire environment[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2011,7(6):53.
[3]张云明.公众聚集场所火灾疏散性能化分析方法研究[J].中国安全生产科学技术,2011,7(10):70.
 ZHANG Yun-ming.Study on safe evacuation with Performance-based Analytical Method in Public Gathering Place[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2011,7(6):70.
[4]李俊华.建筑火灾坍塌危险性的评估[J].中国安全生产科学技术,2012,8(7):226.
 LI Jun hua.Risk assessment for collapse in building fire accident[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2012,8(6):226.
[5]汤静,石必明,陈昆.典型结构走廊火灾烟气流场的数值模拟研究[J].中国安全生产科学技术,2015,11(10):33.[doi:10.11731/j.issn.1673-193x.2015.10.006]
 TANG Jing,SHI Bi-ming,CHEN Kun.Numerical simulation of fire smoke flow in typical structure of building corridor[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2015,11(6):33.[doi:10.11731/j.issn.1673-193x.2015.10.006]
[6]徐坚强,刘小勇,苏燕飞,等.基于贝叶斯网络的建筑火灾动态风险评估方法研究[J].中国安全生产科学技术,2019,15(2):138.[doi:10.11731/j.issn.1673-193x.2019.02.022]
 XU Jianqiang,LIU Xiaoyong,SU Yanfei,et al.Study on dynamic risk assessment method of building fire based on Bayesian network[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(6):138.[doi:10.11731/j.issn.1673-193x.2019.02.022]

备注/Memo

备注/Memo:
收稿日期: 2019-12-19
* 基金项目: 辽宁特聘教授项目(551710007007);辽宁省百千万人才工程项目(2019-45-15);辽宁省自然科学基金项目(2019-MS-162)
作者简介: 贾进章,博士,教授,主要研究方向为矿井通风与瓦斯防治。
通信作者: 李雪娇,硕士研究生,主要研究方向为矿井通风及火灾防治。
更新日期/Last Update: 2020-07-07