|本期目录/Table of Contents|

[1]孙佳正,王金江,张来斌,等.基于等级全息建模的输油泵机组风险根源辨识*[J].中国安全生产科学技术,2020,16(12):92-98.[doi:10.11731/j.issn.1673-193x.2020.12.015]
　SUN Jiazheng,WANG Jinjiang,ZHANG Laibin,et al.Identification on risk roots of oil pump unit based on hierarchical holographic modeling[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2020,16(12):92-98.[doi:10.11731/j.issn.1673-193x.2020.12.015]
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基于等级全息建模的输油泵机组风险根源辨识*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
16
期数:
2020年12期
页码:
92-98
栏目:
职业安全卫生管理与技术
出版日期:
2020-12-31

文章信息/Info

Title:
Identification on risk roots of oil pump unit based on hierarchical holographic modeling
文章编号:
1673-193X(2020)-12-0092-07
作者:
孙佳正; 王金江; 张来斌; 王树江; 王柯博
(中国石油大学（北京） 安全与海洋工程学院，北京 102249)
Author(s):
SUN Jiazheng;  WANG Jinjiang;  ZHANG Laibin;  WANG Shujiang;  WANG Kebo
(College of Safety and Ocean Engineering,China University of PetroleumBeijing,Beijing 102249,China)
关键词:
输油泵; 等级全息建模（HHM）; 风险根源辨识; 高风险情景; 预知性维护; 复杂系统
Keywords:
oil pump;  hierarchical holographic modeling (HHM);  risk roots identification;  high risk scenario;  predictive maintenance;  complex system
分类号:
X937
DOI:
10.11731/j.issn.1673-193x.2020.12.015
文献标志码:
A
摘要:
为“挖掘”输油泵机组风险根源，降低设备预知性维护难度，结合输油泵多准则风险评价，提出1种基于等级全息建模的输油泵机组风险根源辨识方法，运用等级全息建模方法将输油泵系统分解为泵体结构、管理因素、环境因素、操作因素、技术因素、运行因素、设备安装7个子系统进行定性和定量分析。结果表明：相比危险与可操作性分析（HAZOP）、事故树分析（FTA）等传统风险辨识方法，等级全息建模（HHM）对轴承等关键部件以及压力等运行参数的监测更为深入，能够有效辨识输油泵机组高风险情景，提升输油泵的风险辨识效率。
Abstract:
In order to explore the risk roots of oil pump unit and reduce the difficulty in the predictive maintenance of equipments,an identification method on the risk roots of oil pump unit based on the hierarchical holographic modeling (HHM) was proposed by combining with the multicriteria risk assessment of oil pump.The HHM method was used to decompose the oil pump system into seven subsystems of pump structure,management factors,environmental factors,operation factors,technical factors,operation factors,and equipment installation for qualitative and quantitative analysis.The results showed that compared with the HAZOP,FTA and other traditional risk identification methods,the HHM provided the more indepth monitoring of key components such as bearings and operating parameters such as pressure,and it could identify the highrisk scenarios of oil pump unit effectively,thus improve the risk identification efficiency of oil pump.

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备注/Memo

备注/Memo:
收稿日期： 2020-11-16
* 基金项目： 国家重点研发计划项目(2020YFB1709702)；国家自然科学基金项目(U1862104)
作者简介： 孙佳正，硕士研究生，主要研究方向为油气装备安全监测与虚拟感知策略。
通信作者： 王金江，博士，教授，主要研究方向为风险分析、安全评价、大数据分析等。
更新日期/Last Update: 2021-01-08