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为了解火灾爆炸事故的演化路径,为事故应急救援相关方提供相应的决策依据,基于“情景—应对”方法,选取情景状态、承载环境、应急措施和处置目标作为主要情景要素,并通过知识元理论构建情景概念模型,明确各要素之间的相互关系;再利用贝叶斯网络进行情景推演,确定各节点要素的先验概率和条件概率,借助Netica软件计算出各节点的状态概率;最后以山东石大科技石化有限公司“7.16”较大着火爆炸事故为例进行案例验证研究。研究获得事故的情景演变路径一般遵循泄漏、火灾和爆炸的顺序;通过推演得到发生概率较大的4个情景节点,并提出针对性较强的控制措施。可为类似事故应急救援和事后整改措施的制定提供参考。
Abstract:In order to understand the evolutionary path of fire and explosion accidents and provide corresponding decision-making basis for emergency rescue parties involved in accidents, scenario states, carrying environments, emergency activities, and disposal objectives were selected as the main scenario elements based on the "scenario response" method. A scenario conceptual model was constructed using knowledge element theory to clarify the interrelationships between various elements.. Then, Bayesian network was used for scenario deduction to determine the prior probability and conditional probability of each node element, and the state probability of each node was calculated with Netica software. Finally, a case study was conducted using the "7.16" major fire and explosion accident of Shandong Shida Technology Petrochemical Co., Ltd. It was found that the evolution path of the accident scenario generally followed in the order of leakage, fire, and explosion; Four scenario nodes with a high probability of occurrence were got by deducing, and targeted control measures were proposed; These studies could provide reference for the development of emergency rescue and post rectification measures for similar accidents.
[1]王亚晴,杨涛.2016-2021年我国危险化学品事故统计分析[J].山东化工,2022,51(14):168-171.
[2]季军杰.石油化工企业灭火处置对策研究[J].中国石油和化工标准与质量,2023,43(6):97-99.
[3]姜伟,杨宁,李吉祥,等.危险化学品生产环节火灾爆炸事故原因及重要度研究[J].安全,2023,44(2):60-65.
[4]张江石,冯娜娜.基于动态贝叶斯网络情景推演的危化品事故应急处置研究[J].安全与环境学报,2020,20(4):1420-1426.
[5]李健行,夏登友,武旭鹏.基于知识元与动态贝叶斯网络的非常规突发灾害事故情景分析[J].安全与环境学报,2014,14(4):165-170.
[6]夏登友,钱新明,段在鹏.基于动态贝叶斯网络的非常规突发灾害事故情景推演[J].东北大学学报(自然科学版),2015,36(6):897-902.
[7]钱静,刘奕,刘呈,等.案例分析的多维情景空间方法及其在情景推演中的应用[J].系统工程理论与实践,2015,35(10):2588-2595.
[8]吴倩,谈伟,盖文妹.基于动态贝叶斯网络的民航突发事件情景分析研究[J].中国安全生产科学技术,2016,12(3):169-174.
[9] SCHNAARS S P .How to develop and use scenarios[J].Long range planning,1987,20(1):105-114.
[10]陈波,王芳,肖本夫.“情景—应对”型理论体系的发展及其在地震灾害应急管理中的应用探讨[J].震灾防御技术,2021,16(4):605-616.
[11]宋英华,刘子奇,刘丹,等.基于模糊贝叶斯网络的化工园区火灾爆炸事故情景推演[J].安全与环境工程,2022,29(3):86-93.
[12]夏登友.基于“情景—应对”的非常规突发灾害事故应急决策技术研究[D].北京:北京理工大学,2015.
[13]徐后佳,帅健,杨敬东,等.城镇燃气管道事故动态贝叶斯网络情景推演及模拟[J].油气储运,2022,41(8):900-907.
[14]马港,徐晓楠,郭小芳,等.基于贝叶斯网络的电镀企业火灾事故情景推演[J].中国安全科学学报,2023,33(2):1-7.
[15]张志霞,郝纹慧.基于知识元的突发灾害事故动态情景模型[J].油气储运,2019,38(9):980-987.
[16]屈静,张建彬,李旭芳,等.基于贝叶斯网络的输油管道泄漏事故情景推演[J].中国安全科学学报,2021,31(1):192-198.
基本信息:
DOI:10.19737/j.cnki.issn1002-3631.2023.08.004
中图分类号:TP18;TQ086
引用信息:
[1]黄辉,唐倩,蔡喜洋,等.基于贝叶斯网络的化工企业火灾爆炸事故情景推演[J].安全,2023,44(08):23-30.DOI:10.19737/j.cnki.issn1002-3631.2023.08.004.
基金信息:
天津大学浙江研究院开放课题(ZITJU2022-ZYHY010); 宁波市产教融合“五个一批”名单双师型教师建设项目(43甬发改社发[2022]459号)