基于贝叶斯网络的生物质气化中毒事故定量bow-tie分析
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  • 英文篇名:Quantitative Bow- Tie Analyses for Biomass Gasification Poisoning Accidents Based on Bayesian Network
  • 作者:闫放 ; 许开立 ; 姚锡文 ; 王文菁
  • 英文作者:YAN Fang;XU Kaili;YAO Xiwen;WANG Wenjing;College of Resources and Civil Engineering,Northeastern University;
  • 关键词:生物质气化中毒事故 ; bow-tie分析 ; 贝叶斯网络 ; 重要度 ; 危险性评价矩阵
  • 英文关键词:biomass gasification poisoning accident bow-tie analysis Bayesian network worth risk assessment matrix
  • 中文刊名:GYAF
  • 英文刊名:Industrial Safety and Environmental Protection
  • 机构:东北大学资源与土木工程学院;
  • 出版日期:2015-11-10
  • 出版单位:工业安全与环保
  • 年:2015
  • 期:v.41
  • 基金:辽宁省自然科学基金(2013020137);; 农业部农村能源专项(2012-27)
  • 语种:中文;
  • 页:GYAF201511019
  • 页数:5
  • CN:11
  • ISSN:42-1640/X
  • 分类号:70-73+89
摘要
本文通过贝叶斯网络计算各原因事件的弗塞-维思利重要度,选取重要度较高的原因事件采取预防措施;并通过事件树分析确定控制措施,计算采取措施前后生物质气化中毒事故发生的概率,最后通过危险性评价矩阵对采取基于贝叶斯网络的bow-tie分析后的生物质气化中毒事故风险进行评价。结果表明,采用该方法只需对系统中部分节点采取安全措施即可有效降低事故发生概率,从而降低事故风险。
        Fussell- Vesely worth of each event is calculated by Bayesian network. Prevention measures are adopted to the reason event with higher worth. The event tree analysis is conducted to determine control measures and calculate the probability of biomass gasification poisoning accidents before and after measures are taken. Finally the biomass gasification poisoning accidents after using bow- tie analysis based on Bayesian network are evaluated by risk assessment matrix. As the result,this method can reduce probability and risk of accidents by adopting safety measures to parts of the whole points of the system.
引文
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