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地下工程火灾综合定量风险评估方法

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火灾是地下工程的主要灾害之一。为了全面评估地下工程火灾的风险,提出了一种基于能量和屏障理论(Energy and Barrier Theory)、预先危险性分析(Preliminary Hazard Analysis)、领结图(Bow-Tie Diagram)和模糊贝叶斯网络(Fuzzy Bayesian Network,EPB-FBN)的地下工程火灾风险评估方法。首先,基于EPB模型,分析了地下工程火灾的原因、发展、危害、产物、后果和应急救援等静态和动态信息。建立了地下工程火灾的EPB模型,并通过转换规则将EPB模型转换为BN结构。其次,利用模糊数描述变量节点的状态,建立模糊条件概率表描述节点之间的不确定逻辑关系。为了充分利用专家知识和经验数据,将概率划分为可能性区间,并使用三角模糊数表示专家判断的语言变量。采用α加权估值法进行去模糊化,得到了准确的条件概率表参数。通过模糊贝叶斯推理,可以识别关键风险因素,计算关键因素的敏感性值,并在已知证据的情况下找到最大风险链。最后,将该方法应用于情景演绎分析。结果表明:提出的EPB模型可以从能量传递、屏障失效、因果关系等角度分析地下工程火灾,揭示出地下工程火灾的风险因素及其因果关系;"心理影响"等节点是需要重点关注的因素,其最大风险传递路径可确定为火灾自动报警系统→火灾自动报警系统响应→应急救援→ 灭火阶段→ 火势全面发展阶段→热能→烧伤发热→心理影响,通过分析风险传播路径,在实际项目中通过各种措施(阻断能量传递、设置安全屏障等)切断最大风险传播路径,可以大大提高稳定性。
Integrated quantitative risk assessment method for underground engineering fires
Fire is one of the main disasters in underground engineering.To fully describe and assess the risk of underground engineering fires,the paper proposes an assessment method for underground engineering fire risk based on Energy and Barrier Theory,Preliminary Hazard Analysis,Bow-Tie Diagram and Fuzzy Bayesian Network(EPB-FBN).Firstly,based on the EPB model,the static and dynamic information of underground engineering fire such as cause,development,hazard,product,consequence,and emergency rescue are analyzed.The EPB model of undergroundengineering fire is established,and the EPB model is transformed into a BN structure by conversion rules.Secondly,fuzzy numbers are used to describe the state of variable nodes,and fuzzy conditional probability tables are established to describe the uncertain logical relations between nodes.To make full use of expert knowledge and empirical data,the probability is divided into possibility intervals,and the triangular fuzzy number is used to represent the linguistic variable of expert judgment.The accurate conditional probability table parameters are obtained by using the α-weighted estimation method.Through fuzzy Bayesian reasoning,key risk factors can be identified,sensitivity values of key factors can be calculated,and maximum risk chains can be found given the known evidence.Finally,the method is applied to scenario deduction analysis.The results show that the proposed EPB model can analyze the underground engineering fire from the perspectives of energy transfer,barrier failure,and causality,to reveal the risk factors and causality of underground engineering fire.Nodes such as"psychological impact"are factors that need to be focused on,and the maximum risk transmission path can be determined as Automatic fire alarm system → response of automatic fire alarm system → emergency rescue → fire extinguishing stage →comprehensive fire development stage → heat energy → burn fever → psychological impact.Through analyzing the risk transmission path,various measures(blocking energy transmission,setting safety barriers,etc.)can be taken in the actual project to cut off the maximum risk transmission path,which can greatly improve stability.

safety engineeringunderground engineering fireFuzzy Bayesian Network(FBN)risk assessment

袁奇、张晓蕾、张兴凯、高进东

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中国安全生产科学研究院,北京 100012

中国矿业大学(北京)应急管理与安全工程学院,北京 100083

安全工程 地下工程火灾 模糊贝叶斯网络 风险评估

中国安全生产科学研究院基本科研业务费专项资金项目

2021JBKY15

2024

安全与环境学报
北京理工大学 中国环境科学学会 中国职业安全健康协会

安全与环境学报

CSTPCD北大核心
影响因子:0.943
ISSN:1009-6094
年,卷(期):2024.24(1)
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