|本期目录/Table of Contents|

[1]徐康凯,胡瑾秋,董绍华,等.基于IRML网络模型的LNG卸料系统故障传播分析*[J].中国安全生产科学技术,2022,18(4):5-11.[doi:10.11731/j.issn.1673-193x.2022.04.001]
 XU Kangkai,HU Jinqiu,DONG Shaohua,et al.Failure propagation analysis of LNG unloading system based on IRML network model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(4):5-11.[doi:10.11731/j.issn.1673-193x.2022.04.001]
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基于IRML网络模型的LNG卸料系统故障传播分析*
分享到:

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
18
期数:
2022年4期
页码:
5-11
栏目:
学术论著
出版日期:
2022-04-30

文章信息/Info

Title:
Failure propagation analysis of LNG unloading system based on IRML network model
文章编号:
1673-193X(2022)-04-0005-07
作者:
徐康凯胡瑾秋董绍华陈怡玥冯凌铵
(中国石油大学(北京) 安全与海洋工程学院,北京 102249)
Author(s):
XU Kangkai HU Jinqiu DONG Shaohua CHEN Yiyue FENG Ling’an
(College of Safety and Ocean Engineering,China University of Petroleum (Beijing),Beijing 102249,China)
关键词:
LNG卸料系统依赖网络故障传播IRML
Keywords:
LNG unloading system dependency network fault propagation infrastructure resilience-oriented modeling language (IRML)
分类号:
X937
DOI:
10.11731/j.issn.1673-193x.2022.04.001
文献标志码:
A
摘要:
为研究陆地LNG卸料系统的物理设备、信息网络及人员操作的依赖关系和信息层、人员层对设备层故障传播的影响,基于面向基础设施弹性建模语言(Infrastructure Resilience-Oriented Modelling Language,IRML),从单层网络静态风险分析和多层依赖网络的动态传播2个方面,提出LNG卸料系统故障传播分析方法。研究结果表明:依赖网络的故障传播模型,得到影响系统故障模式和故障传播状态作为时间函数的动态特征,研究结果可进一步为耦合故障溯源和系统恢复预测提供基础。
Abstract:
In order to study the dependency of physical devices,information network and human operation of land-based LNG unloading system and the influence of information layer and human layer on the fault propagation of device layer,a fault propagation analysis method of LNG unloading system was proposed from two aspects of static risk analysis of single-layer network and dynamic propagation of multi-layer dependency network based on the infrastructure resilience-oriented modeling language (IRML).The results showed that the fault propagation model of dependency network could obtain the dynamic characteristics affecting the fault mode and fault propagation state of the system as a function of time.It can further provide the basis for the coupling fault tracing and system recovery prediction.

参考文献/References:

[1]MELANI A H A,SOUZA G F M,DENNIS W,et al.Use of Bayesian Network to support Risk-Based analysis of LNG carrier loading operation[C]// Probabilistic Safety Assessment & Management PSAM,2014.
[2]王子维,王政银.粤东LNG卸料臂FMECA分析[J].石油和化工设备,2021,24(4):91-94. WANG Ziwei,WANG Zhengyin.FMECA analysis of LNG unloading arm in eastern Guangdong[J] Petro & Chemical Equipment,2021,24(4):91-94.
[3]YUN G W,ROGERS W J,MANNAN M S.Risk assessment of LNG importation terminals using the Bayesian-LOPA methodology[J].Journal of Loss Prevention in the Process Industries,2009,22(1):91-96.
[4]KAMMOUH O,GARDONI P,CIMELLARO G.Probabilistic framework to evaluate the resilience of engineering systems using Bayesian and dynamic Bayesian networks[J].Reliability Engineering & System Safety,2020,198:211-213.
[5]ZHAO S,X LIU,ZHUO Y.Hybrid hidden markov models for resilience metrics in a dynamic infrastructure system[J].Reliability Engineering & System Safety,2017,164:84-97.
[6]SMITH D,VEITCH B,KHAN F,et al.Integration of resilience and fram for safety management[J].ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering,2020,6(2):11-14.
[7]MOGLE S,NATALIY A,PADGE T,et al.Systemic approaches to incident analysis in aviation:comparison of STAMP,agent-based modelling and institutions[J].Safety Science,2018(17):21-24.
[8]周虹,陈志雄.基于符号有向图的飞机故障风险评估方法[J].沈阳工业大学学报,2018,40(4):402-409. ZHOU Hong,CHEN Zhixiong.An aircraft fault risk assessment method based on sign directed graph[J].Journal of Shenyang University of Technology,2018,40(4):402-409.
[9]陈严波,黄金龙,汪志军,等.基于有向图的蜂群无人机故障影响[J].航空学报,2020,41(S2):115-121. CHEN Yanbao,HUANG Jinglong,WANG Zhijun,et al.Fault effects of swarm unmanned aerial vehicles based on sign directed graph[J].Acta Aeronautica,2020,41(S2):115-121.
[10]申桂香,栾兰,张英芝,等.加工中心组件故障传播影响力评估[J].吉林大学学报(工学版),2021(13):1-6. SHEN Guixiang,LUAN Lan,ZHANG Yingzhi,et al.Evaluation of fault propagation influence of machining center components[J].Journal of Jilin University(Engineering and Technology Edition),2021(13):1-6.
[11]张英芝,刘津彤,申桂香.数控车床故障传播机理分析[J].哈尔滨工业大学学报,2018,50(7):131-136. ZHANG Yingzhi,LIU Jintong,SHEN Guixiang.Analysis of failure propagation mechanism of CNC Lathe[J].Journal of Harbin Institute of Technology,2018,50(7):131-136.
[12]马曦,张来斌,胡瑾秋,等.基于IRML的油气加工系统多层次故障传播模型研究[J].石油学报(石油加工),2015,31(5):1193-1202. MA Xi,ZHANG Laibin,HU Jinqiu,et al.Hierarchical fault propagation model of oil and gas processing system based on IRML[J] Acta Petrolei Sinica(Petroleum Processing Section),2015,31(5):1193-1202.
[13]HU J Q,KHAN F,ZHANG L B.Dynamic resilience assessment of the Marine LNG offloading system[J].Reliability Engineering & System Safety,2020,(9):41-42.
[14]HU J Q,DONG S H,ZHANG L B,et al.Cyber-physical-social hazard analysis for LNG port terminal system based on interdependent network theory[J].Safety Science,2021,137(2):10-12.
[15]FILIPPINI R,SILVA A.A modeling framework for the resilience analysis of networked systems-of-systems based on functional dependencies.[J].Reliability Engineering & System Safety,2014,125:82-91.

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备注/Memo

备注/Memo:
收稿日期: 2021-06-25
* 基金项目: 国家重点研发计划项目(2019YFA0708304);国家自然科学基金项目(52074323);中国石油大学(北京)科研基金项目 (ZX20200137)
作者简介: 徐康凯,博士研究生,主要研究方向为LNG卸料系统故障传播和设备维修策略。
通信作者: 胡瑾秋,博士,教授,主要研究方向为油气生产复杂系统安全预警技术、油气装备监测预警大数据科学与工程。
更新日期/Last Update: 2022-05-13