东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2014, Vol. 35 ›› Issue (9): 1356-1359.DOI: 10.12068/j.issn.1005-3026.2014.09.031

• 资源与土木工程 • 上一篇    下一篇

基于贝叶斯网络的HAZOP-LOPA集成分析与应用

姚锡文1，许开立1，汤规成1,2，王文菁1   

  1. (1东北大学 资源与土木工程学院， 辽宁 沈阳110819; 2中国石油 辽河石化公司， 辽宁 盘锦124002)
  • 收稿日期:2013-10-24 修回日期:2013-10-24 出版日期:2014-09-15 发布日期:2014-04-11
  • 通讯作者: 姚锡文
  • 作者简介:姚锡文(1987-)，男，山东五莲人，东北大学博士研究生；许开立(1965-)，男，山东郓城人，东北大学教授，博士生导师.
  • 基金资助:
    辽宁省自然科学基金资助项目(2013020137).

Integrative Risk Analysis and Application of HAZOPLOPA Based on Bayesian Networks Inference〓

YAO Xiwen1， XU Kaili1， TANG Guicheng1,2， WANG Wenjing1   

  1. 1 School of Resources & Civil Engineering， Northeastern University， Shenyang 110819， China; 2 Liaohe Petrochemical Industries Company， China Petroleum， Panjin 124002， China.
  • Received:2013-10-24 Revised:2013-10-24 Online:2014-09-15 Published:2014-04-11
  • Contact: YAO Xiwen
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摘要： 针对事件树、故障树等风险分析存在一定局限性的问题，提出了基于贝叶斯网络的HAZOP-LOPA集成风险评估新思路.编制系统故障树，利用GeNIe软件将其映射成贝叶斯网络，运用贝叶斯网络双向推理进行故障预测和诊断，快速识别系统薄弱环节并确定为风险贝叶斯故障节点，结合HAZOP与LOPA对其进行风险集成分析，提出相应的独立防护层，根据防护层失效概率并参照半定量风险矩阵确定剩余风险等级.该风险评估模型在辽河石化公司催化裂化装置的反应再生系统中进行应用，结果证实该模型在复杂工艺信息不确定条件下，能有效提高风险评估的针对性、客观性与准确性.

关键词: 故障树, 贝叶斯网络, 防护层分析, 催化裂化, 风险分析

Abstract: Considering that the event tree and fault tree analysis bear some disadvantages， a new integrative risk analysis of HAZOPLOPA was proposed on the basis of Bayesian networks. The system fault tree was established and mapped into Bayesian networks by using GeNIe software. Then fault prediction and diagnosis could be conducted by Bayesian networks twoside reason function， and it could rapidly identify the system weakness， which was chosen to be the Bayesian risk fault node. Integrative risk analysis was used by combining HAZOP with LOPA， putting forward the corresponding independent protective layer， and the residual risk level could be determined according to failure probability of protective layer and semiquantitative risk matrix. This risk assessment model was then applied in the reactor regenerator system of RFCC equipment in Liaohe Petrochemical Industries Company， and the application results can verify the pertinence， objectivity and accuracy under the condition of uncertain information in complex system.

Key words: fault tree, Bayesian networks, layers of protection analysis, catalytic cracking, risk analysis

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