基于等级全息建模的输油泵机组风险根源辨识*

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。

Identification on risk roots of oil pump unit based on hierarchical holographic modeling

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.