中国安全科学学报 ›› 2019, Vol. 29 ›› Issue (1): 112-118.doi: 10.16265/j.cnki.issn1003-3033.2019.01.019

• 安全工程技术科学 • 上一篇    下一篇

周期检测策略对基于Markov模型的PFS计算的影响

李鹏1, 王海清1 教授, 田英帅2, 乔丹菊1   

  1. 1 中国石油大学(华东) 安全科学与工程系,山东 青岛 266580;
    2 深圳燃气集团 安全管理部,广东 深圳 518040
  • 收稿日期:2018-09-25 修回日期:2018-11-27 出版日期:2019-01-28 发布日期:2020-11-23
  • 作者简介:李 鹏 (1996—),男,河南周口人,硕士研究生,研究方向为安全仪表系统可靠性分析。E-mail: 836901865@qq.com。
  • 基金资助:
    国家重大科技专项“第七代超深水钻井平台(船)创新专项”项目(D719-ZGSY-555);山东省自然科学基金资助(ZR201702160283)。

Influence of proof testing strategy on Markov model based calculation of PFS

LI Peng1, WANG Haiqing1, TIAN Yingshuai2, QIAO Danju1   

  1. 1 Department of Safety Science and Engineering, China University of Petroleum (East China), Qingdao Shandong 266580, China;
    2 Department of Safety Management, Shenzhen Gas Group Co. Ltd.,Shenzhen Guangdong 518040,China
  • Received:2018-09-25 Revised:2018-11-27 Online:2019-01-28 Published:2020-11-23

摘要: 为准确评估安全仪表系统(SIS)的安全失效概率(PFS),在传统Markov模型基础上,提出一种新的计算模型。考虑周期检测覆盖率,以及周期检测导致的系统安全失效概率的周期检测策略,构建SIS的PFS新计算模型;并以加氢工艺热高压分离器液位控制SIS为例,应用该模型计算不同周期检测策略下该系统的安全失效概率。结果表明:该模型能够解决PFS计算过于理想化的问题;相较于理想检测策略,该模型对现场SIS的PFS计算更准确,且为SIS提供了一定的安全裕度。

关键词: 安全仪表系统(SIS), 安全失效概率(PFS), Markov模型, 周期检测, 通道矩阵

Abstract: To accurately evaluate the PFS of SIS, a new PFS calculation model was built based on the traditional Markov model, after considering a proof testing strategy of the testing coverage rate and the system safety failure caused by the testing. The model was applied to a control system of liquid level for hot high pressure separator of hydrogenation process, and values of the PFS of the control system under different proof testing strategies were calculated. The results show that the model can solve the problem of over-idealization of the PFS calculation, and compared with the ideal testing strategy, the model is more accurate for the PFS calculation of on-site SIS and provides a certain safety margin for the SIS.

Key words: safety instrumented systems(SIS), probability of falling safety(PFS), Markov model, proof testing, passage matrix

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