中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (1): 124-129.doi: 10.16265/j.cnki.issn1003-3033.2018.01.021

• 安全工程技术科学 • 上一篇    下一篇

基于DBN的深水井控人机界面系统可靠性分析

陈洁1,2, 陈国明1 教授, 李新宏1, 杨冬冬1, 耿凯月1, 刘长鑫1   

  1. 1 中国石油大学(华东) 海洋油气装备与安全技术研究中心, 山东 青岛 266580
    2 天津航空有限责任公司 安全监察部,天津 300300
  • 收稿日期:2017-10-20 出版日期:2018-01-28 发布日期:2020-09-28
  • 作者简介:陈 洁 (1991—),女,山东东营人,安全科学与工程硕士,主要研究方向为海洋油气安全技术。E-mail:Jane_Chenjie@126.com。
  • 基金资助:
    国家重点研发计划课题(2017YFC0804501)。

Reliability analysis of deep-water drilling man-machine interface system based on DBN

CHEN Jie1,2, CHEN Guoming1, LI Xinhong1, YANG Dongdong1, GENG Kaiyue1, LIU Changxin1   

  1. 1 Centre for Offshore Engineering and Safety Technology, China University of Petroleum, Qingdao Shandong 266580,China
    2 Safety Supervision Department, Tianjin Airlines Corporate, Tianjin 300300, China
  • Received:2017-10-20 Online:2018-01-28 Published:2020-09-28

摘要: 为改善深水井控人机配合情况,运用动态贝叶斯网络(DBN)方法分析深水井控人机界面系统的可靠性。基于深水井控人机交互流程,构建系统安全屏障结构图,并转化为对应的DBN模型;依据DBN方法的时间属性,研究系统及各子系统不维修与维修状态下可靠度时间分布;借助贝叶斯后验推理及敏感性分析能力,辨识人机界面系统薄弱风险点。研究结果表明:维修因素是影响深水井控人机界面系统可靠性的关键因素;维修条件下,人因可靠性对深水井控人机界面系统可靠性的影响最大。

关键词: 深水井控, 人机界面, 动态贝叶斯网络(DBN), 安全屏障, 可靠性分析

Abstract: For the sake of improving human-machine cooperation, a reliability analysis of deep-water drilling man-machine interface system was carried out based on DBN approach. According to human-machine interaction procedures, safety barrier structure of the system was built and converted into a DBN model. Based on time-property of DBN, relationships between reliability of both system and subsystems and time, under non-maintenance and maintenance conditions, were analyzed. Using posterior reasoning and sensitivity analysis of DBN, weak risk points of human-machine surface system were identified. The results show that the maintenance is the key factor affecting the reliability of human-machine surface system, and that under the maintenance condition, human factor has the greatest influence on the reliability of deep-water drilling man-machine interface system.

Key words: deep-water drilling, human-machine interface, dynamic Bayesian network(DBN), safety barrier, reliability analysis

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