交通运输工程

基于模糊动态故障树的油气储运火灾事故应急过程致因因素评价

  • 袁长峰 ,
  • 张玉龙 ,
  • 呼义超 ,
  • 左韬 ,
  • 王佳荟 ,
  • 樊双蛟
展开
  • (1.大连海事大学 航运经济与管理学院,辽宁 大连 116026;2.大连工业大学 机械工程与自动化学院,辽宁 大连 116034)
袁长峰(1975 — ),女,博士,副教授,E-mail:ycf1028@dlmu.edu.cn.

收稿日期: 2020-10-18

  修回日期: 2021-01-05

  网络出版日期: 2021-01-05

基金资助

国家自然科学基金资助项目(51404052;71571025;71774019);教育部人文社会科学研究青年基金资助项目(17YJAZH115).

Evaluation on causal factors in emergency processes of fire accidents for oil-gas storage and transportation based on fuzzy dynamic fault tree

  • YUAN Chang-feng ,
  • ZHANG Yu-long ,
  • HU Yi-chao ,
  • ZUO Tao ,
  • WANG Jia-hui ,
  • FAN Shuang-jiao
Expand
  • (1.School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China;2. School of Mechanical Engineering and Automation,Dalian Polytechnic University, Dalian 116026,China)

Received date: 2020-10-18

  Revised date: 2021-01-05

  Online published: 2021-01-05

摘要

为保障油气储运系统安全, 从应急过程安全视角出发,提出基于模糊动态故障树(FDFT)的油气储运火灾事故应急过程致因因素分析方法.通过对实际事故统计分析,总结出21个致因因素.建立二次事故的FDFT模型,分别对模糊静态子树(FSST)和模糊动态子树(FDST)进行定量分析,计算出顶事件的模糊发生概率以及各基本事件的模糊关键重要度和模糊概率重要度,找出导致二次事故发生影响概率较大的因素和最有可能发生的途径,总结了应急过程中可能存在的问题.通过对大连港实际事故的分析,验证了所提方法的有效性.研究结果对揭示油储系统应急过程二次事故演变机理,保障油储系统安全运行管理具有重要的科学和指导意义.

本文引用格式

袁长峰 , 张玉龙 , 呼义超 , 左韬 , 王佳荟 , 樊双蛟 . 基于模糊动态故障树的油气储运火灾事故应急过程致因因素评价[J]. 大连海事大学学报, 2021 , 47(1) : 92 -100 . DOI: 10.16411/j.cnki.issn1006-7736.2021.01.011

Abstract

 In order to ensure the safety of oil-gas storage and transportation system, from the perspective of the emergency processes safety, an analysis method based on fuzzy dynamic fault tree (FDFT) was proposed to analyze the causal factors of fire accidents in the emergency processes for oil-gas storage and transportation. Twenty-one causal factors were summarized according to the statistical analysis of actual accident cases. The FDFT model of the secondary accidents was established, and the fuzzy static subtree (FSST) and fuzzy dynamic subtree (FDST) were quantitatively analyzed, the fuzzy probability of the top event and the fuzzy critical importance and fuzzy probability importance of each basic event were calculated. The factors that lead to the higher probability of the secondary accident and the most likely way were found out. The possible problems in the emergency process were summarized. The effectiveness of the proposed method was verified by analyzing the actual accidents in Dalian port. The research results have important scientific and guiding significance for revealing the evolution mechanism of secondary accidents in the emergency process of oil storage system and ensuring the safe operation and management of oil storage system.

参考文献

[1] 应急管理部Σ险化学品安全监督管理司和中国化学品安全协会. 全国化工Σ险化学品事故典型案例汇总(2017). https://www.sohu.com/a/298178913_100012850.
Department of hazardous chemicals safety supervision and administration of the ministry of emergency management and China association for chemical safety. (2017). Collection of typical cases of chemical and hazardous chemicals accidents in China(2017). https://www.sohu.com/a/298178913_100012850. (Accessed 12 October 2019.)
[2] 胡玉琴, 王殿生, 赵洪磊, 等. 基于鱼骨图和层次分析法的石油静电事故影响因素分析[J]. 中国安全生产科学技术, 2015(1):133-137.
Hu Y Q, Wang D S, Zhao H.L, et al. Analysis on influence factors of electrostatic accidents in oil industry based on fishbone diagram and AHP. Journal of Safety Science and Technology, 2015, 11(1):133-137.
[3] 黄萍, 徐晶晶, 赖永生, 等. 基于HFACS和AHP的油气管道泄©爆炸事故人因分析[J]. 安全与环境工程, 2016, 23(6):114-118.
Huang P, Xu J J, Lai Y S, et al. Human Factors Analysis of Leakage Explosion of Oil and Gas Pipeline Based on HFACS and AHP. Safety and Environmental Engineering, 2016, 23(6):114-118.
[4] 盛耀祖, 唐峰, 吴萍萍. 储油罐火灾爆炸故障树分析[J]. 安全.健康和环境, 2016, 16(4):47-49.
Sheng Y Z, Tang F, Wu P P. Fault Tree Analysis of Oil Tank Fire Explosion. Safety Health & Environment, 2016, 16(4):47-49.
[5] 李卫东. 基于故障树分析的油库火灾爆炸研究[J]. 当代化工, 2015(07):158-160.
Li W.D. Study on Fire and Explosive Accidents of Oil Depots Based on Fault Tree Analysis. Contemporary Chemical Industry, 2015, 44(7):1609-1611.
[6] Ao H G. Fault Tree Analysis of the Storage Tanks in the Chemical Industry[J]. Int Conf Instr Meas, 2014, pp. 928-931.
[7] Wang D Q, Zhang P, Chen L Q. Fuzzy fault tree analysis for fire and explosion of crude oil tanks. Journal of Loss Prevention in the Process Industries, 2013, 26(6):1390-1398.
[8] Wu J S, Zhou R, Xu S D, et al. Probabilistic analysis of natural gas pipeline network accident based on Bayesian network. Journal of Loss Prevention in the Process Industries, 2017, 46:126-136.
[9] Huang Y M, Ma G W, Li J D. Grid-based risk mapping for gas explosion accidents by using Bayesian network method. Journal of Loss Prevention in the Process Industries, 2017, 48:223-232.
[10] 马庆春, 张继旺, 张来斌. 基于改进贝叶斯网络的加油站火灾爆炸分析[J]. 中国安全生产科学技术, 2014, 10(6):176-182.
Ma Q C, Zhang J W, Zhang L B. Accident analysis of fire and explosion in gas station based on improved Bayesian Network. Journal of Safety Science and Technology,2014, 10(6):176-182.
[11] 宫运华, 徐越. 基于动态故障树的化工系统动态风险评价[J]. 安全与环境工程, 2015(02):134-138.
Gong Y H, Xu Y. Dynamic Risk Assessment for Chemical System Based on Dynamic Fault Tree. Safety and Environmental Engineering, 2015, (02):134-138.
[12] 吴贤国, 张青英, 张立ï, 等. 基于动态故障树的盾构刀盘失效风险分析[J]. 土木工程与管理学报, 2014, 31(4):60-66.
Wu X G, Zhang Q Y, Zhang L M, et al. Safety analysis for shield cutter failure based on dynamic fault tree. journal of civil engineering and management,2014, 31(4):60-66.
[13] Yuge T, Yoneda T, Tamura N, Yanagi S. Minimal cut sequences and top event probability of dynamic fault tree. Journal of Quality in Maintenance Engineering, 2013, 19(1):38-49.
[14] Sun L N, Huang N, Zhao Z. Reliability Analysis for AFDX Network Based on Dynamic Fault Tree. Applied Mechanics and Materials, 2015, 743:617-622.
[15] 周广林, 张继通, 刘训涛, 等. 基于动态故障树的盘式制动系统的可靠性[J]. ú炭学报, 2019, 44(2): 639-646.
Zhou G L, Zhang J T, Liu X T, et al. Study on reliability of disc brake system for mine hoist based on fuzzy dynamic fault tree. Journal of the China Coal Society, 2019, 44(2):639-646.
[16] 黄洪钟, 李彦锋, 孙健, 等. 太阳翼驱动机构的模糊动态故障树分析[J]. 机械工程学报, 2013(19):70-76.
Huang H Z, Li Y F, Sun J, et al. Fuzzy Dynamic Fault Tree Analysis for the Solar Array Drive Assembly. Journal of Mechanical Engineering, 2013, 49(19):70-76.
[17] Yang L P. Analysis on Dynamic Fault Tree Based on Fuzzy Set. Applied Mechanics and Materials, 2012, 110:2416-2420.
[18] 高迎平, 李洋, 常文韬,等. 基于模糊动态故障树的化工设备故障诊断方法研究[J]. 工业技术经济, 2017, 36(4):48-54.
Gao Y P, Li Y, Chang W T, et al. Research on Failure Diagnosis Method of Chemical Equipment Based on Fuzzy Dynamic Fault Tree. Journal of Industrial Technological and Economics, 2017, 36(4):48-54.
[19] 刘东, 邢维艳, 赵忠文, 等. 动态故障树割序集分析的模块化方法[J]. 计算机工程, 2011, 37(7):10-11.
Liu D, Xing W Y, Zhao Z W. Modularization method for cut sequence set analysis of dynamic fault tree. Computer Engineering, 2011, 37(7):10-11.
[20] 范继义. 油库1050例安全事故数据的统计分析[J]. 石油库与加油站, 2003, (06):19-21.
Fan J Y. Statistical Analysis of 1050 Safety Accidents Data in Oil Depots. Oil Depot and Gas Station, 2003, (06):19-21.
[21] 张清林. 国内外石油储罐典型火灾案例剖析[M]. 天津: 天津大学出版社, 2014.
Zhang Q L. Analysis of Typical Fire Cases of Oil Storage Tanks at Home and Abroad, Tianjin, Tianjin University Press, 2014.
[22] 杨艺, 刘建章, 付士根. 油库安全评价与应急救援技术[M]. 北京: 中国石化出版社, 2009.
Yang Y, Liu J Z, Fu S G. Safety Evaluation and Emergency Rescue Technology of Oil Depot, Beijing, China Petrochemical Press, 2009.
[23] 崔慧. 油库区火灾应急过程事故致因因素研究[D]. 大连海事大学,2019.
[24] 伍爱友, 施式亮, 王从½. 基于事故树方法与三角模糊理论耦合的城市火灾风险分析[J]. 中国安全科学学报, 2009, 19(7):31-36.
Wu A Y, Shi S L, Wang C L. Urban fire risk analysis based on fault tree method and tri-fuzzy theory. China Safety Science Journal, 2009, 19(7):31-36.
[25] Xing L D, Shrestha A, Dai Y S. Exact combinatorial reliability analysis of dynamic systems with sequence-dependent failures. Reliability Engineering and System Safety, 2011, 96 (10):1375-1385.
[26] 萧雯雯. 鏖战大连湾——辽宁公安消防官兵扑救“7·16”大连新港输油管道爆炸火灾纪实[J]. 中国消防, 2010,(14):4-14.
Xiao W W. Fierce battle in dalian bay -- a documentary of “7 · 16” oil pipeline explosion and fire in xingang, dalian, liaoning province. China Fire,2010, (14):4-14.
文章导航

/