|本期目录/Table of Contents|

[1]张新伟,禹傲然,张培红.城镇油气管道事故应急疏散决策优化[J].中国安全生产科学技术,2019,15(12):143-149.[doi:10.11731/j.issn.1673-193x.2019.12.023]
　ZHANG Xinwei,YU Aoran,ZHANG Peihong.Decisionmaking optimization of emergency evacuation in accident of urban oil and gas pipeline[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(12):143-149.[doi:10.11731/j.issn.1673-193x.2019.12.023]
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城镇油气管道事故应急疏散决策优化
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
15
期数:
2019年12期
页码:
143-149
栏目:
职业安全卫生管理与技术
出版日期:
2019-12-31

文章信息/Info

Title:
Decisionmaking optimization of emergency evacuation in accident of urban oil and gas pipeline
文章编号:
1673-193X(2019)-12-0143-07
作者:
张新伟; 禹傲然; 张培红
（东北大学 资源与土木工程学院，辽宁 沈阳 110819）
Author(s):
ZHANG Xinwei;  YU Aoran;  ZHANG Peihong
(College of Resources and Civil Engineering,Northeastern University,Shenyang Liaoning 110819，China)
关键词:
油气管道; 事故后果分析; 应急疏散; 自适应蚁群算法; 决策优化
Keywords:
oil and gas pipeline;  accident consequence analysis;  emergency evacuation;  adaptive ant colony algorithm;  decisionmaking optimization
分类号:
X937
DOI:
10.11731/j.issn.1673-193x.2019.12.023
文献标志码:
A
摘要:
为实现油气管道事故中城镇大规模应急疏散的智慧决策，构建基于改进的自适应蚁群算法的应急疏散路径优化模型，开发基于油气管道典型事故后果分析的城镇大规模应急疏散决策优化系统平台(LSSED)。LSSED在地理信息系统平台上，针对油气管道泄漏引起的扩散、喷射火、池火、BLEVE、蒸气云爆炸等典型事故进行事故后果分析，对疏散通道当量长度和疏散时间成本函数进行定量评价，实现大规模应急疏散方案的智慧决策和避难方案的全局优化。案例分析表明，LSSED平台实现了基于地理信息系统的典型事故时变环境信息和应急疏散路径优化算法的数据传递及系统集成，实现了基于事故后果分析的城镇大规模人群疏散路径和避难方案优化，可为城镇安全规划和应急管理提供参考和借鉴。
Abstract:
In order to realize the intelligent decisionmaking of urban largescale emergency evacuation in the accident of oil and gas pipeline,a model of path optimization for the emergency evacuation based on the improved adaptive ant colony algorithm was constructed,and a decisionmaking optimization system platform of urban largescale emergency evacuation (LSSED) based on the accident consequence analysis of the oil and gas pipeline was developed.On the basis of GIS geographic information system platform,the accident consequence analysis was carried out on the typical accidents such as diffusion,jet fire,pool fire,BLEVE and vapor cloud explosion caused by the leakage of oil and gas pipeline,and the quantitative evaluation was conducted on the equivalent length of evacuation passage and the cost function of evacuation time,thus the intelligent decisionmaking of largescale emergency evacuation scheme and the global optimization of sheltering scheme were realized.The case analysis showed that the LSSED platform realized the data transmission and system integration of typical timevarying accident environmental information and optimization algorithm of emergency evacuation path based on the GIS geographic information system,as well as the optimization of evacuation path and sheltering scheme for the urban largescale emergency evacuation based on the accident consequence analysis.It can provide reference for the urban safety planning and emergency management.

参考文献/References:

［1］LI J F,ZHANG B,WANG Y,et al.The unfolding of ‘12.23’ Kaixian blowout accident in China［J］.Safety Science,2009,47(8):1107-1117.
［2］XU J H,FAN Y.An individual risk assessment framework for high-pressure natural gas wells with hydrogen sulfide applied to a case study in China［J］.Safety Science,2014,68(1):14-23.
［3］VERMUYTEN H,JEROEN B,BOECK L D,et al.A review of optimisation models for pedestrian evacuation and design problems［J］.Safety Science,2016,87(1):167-178.
［4］SCHADSCHNEIDER A,KLINGSCH W,KLPFEL H,et al.Evacuation dynamics:Empirical results,modeling and applications［M］.NEW York:Springer,2011.
［5］KRCHTEN C,SCHADSCHNEIDER A .Empirical study on social groups in pedestrian evacuation dynamics［J］.Physica A:Statistical Mechanics and its Applications,2017(475):129-141.
［6］BURSTEDDE C,KLAUCK K,SCHADSCHNEIDER A,et al.Simulation of pedestrian dynamics using a two-dimensional cellular automaton［J］.Physica A：Statistical Mechanics & Its Applications,2001,295 (3-4):507-525.
［7］MURAMATSU M,NAGATANI T.Jamming transition in two-dimensional pedestrian traffic ［J］.Physica A：Statistical Mechanics & Its Applications,2000,275(1-2):281-291.
［8］HELBING D,MOLNAR P.Social force model for pedestrian dynamics ［J］.Physical review.E,Statistical physics,plasmas,fluids,and related interdisciplinary topics,1998,51(5):4282-4286.
［9］HELBING D,FARKAS I,VICSEK T.Simulating dynamical features of escape panic［J］.Nature,2000,407(28):487-490.
［10］陈一洲,尹浩东,孙旋,等.基于灾变的人群疏散避灾路径优化及应用［J］.中国安全生产科学技术,2018,14(10):27-33. CHEN Yizhou,YIN Haodong,SUN Xuan,et al.Optimization and application of escape path for crowd evacuation based on cataclysm［J］.Journal of Safety Science and Technology，2018,14(10):27-33.
［11］LI J J,ZHU H Y.A risk-based model of evacuation route optimization under fire［J］.Procedia Engineering,2018,211(1):365-371.
［12］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.
［13］ZHANG N,NI X Y,HUANG H,et al.Risk-based personal emergency response plan under hazardous gas leakage:Optimal information dissemination and regional evacuation in metropolises［J］.Physica A:Statistical Mechanics and its Applications,2017(473):237-250.
［14］邓云峰,李群,盖文妹.有毒气体泄漏场景模拟与区域疏散分析［J］.中国安全生产科学技术,2014,10(6):12-19. DENG Yunfeng,LI Qun,GAI Wenmei.Simulation of toxic gas leak and analysis of regional evacuation ［J］.Journal of Safety Science and Technology,2014,10(6):12-19.
［15］CROOKS A,CASTLE C,BATTY M.Key challenges in agent-based modelling for geo-spatial simulation ［J］.Computers,Environment and Urban Systems,2008,32(6):417-430.
［16］CHEN X,ZHAN F B .Agent-based modeling and simulation of urban evacuation:relative effectiveness of simultaneous and staged evacuation strategies［M］ .London:Palgrave Macmillan,London,2014.
［17］GAI W M,DENG Y F,JIANG Z A,et al.Multi-objective evacuation routing optimization for toxic cloud releases ［J］.Reliability Engineering & System Safety,2017,159 (1):58-68.
［18］熊立春,杨立兵,陈建宏,等.基于图论与排队论的人员疏散优化模型研究［J］.安全与环境学报,2014,14(3):166-171. XIONG Lichun,YANG Libing,CHEN Jianhong,et al.Research on personnel evacuation optimization model based on graph theory and queuing theory ［J］.Journal of Safety and Environment,2014,14 (3):166-171.
［19］叶志伟,郑肇葆.蚁群算法中参数α、β、ρ设置的研究——以TSP问题为例［J］.武汉大学学报(信息科学版),2004,29(7):597-301. YE Zhiwei,ZHENG Zhaobao.Configuration ofparameters α,β,ρ in Ant Algorithm［J］.Geomatics and Information Science of Wuhan University,2004,29(7):597-301.
［20］王颖,谢剑英.一种自适应蚁群算法及其仿真研究［J］.系统仿真学报,2002,14(1):31-33. WANG Ying,XIE Jianying.An adaptive ant colony optimization algorithm and simulation［J］.Journal of System Simulation,2002,14(1):31-33.
［21］全国安全生产标准化技术委员会化学品安全分技术委员会.化工企业定量风险评价导则:AQ/T 3046—2013［S］.北京:煤炭工业出版社,2013.

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备注/Memo

备注/Memo:
收稿日期： 2019-04-04
* 基金项目： 国家重点研发计划项目(2017YFC0804900)
作者简介： 张新伟，博士研究生，主要研究方向为事故危险性评价，行人动力学和事故应急决策优化。
通信作者： 张培红，博士，教授，主要研究方向为火灾防治与控制，事故应急决策优化。
更新日期/Last Update: 2020-01-09