摘要
为应对储气库分离器日益复杂的工艺流程和逐步大型化的工艺设备,采用基于风险检验(RBI)的技术进行储气库分离器设备的风险分析。通过对分离器设备参数、运行参数和所处环境参数等多源异构数据进行搜集集成,构建分离器失效模型,计算分离器的失效可能性和失效后果面积,划分分离器的风险等级,从而制定分离器的检验周期和检验措施;将分离器RBI风险分析方法与先进的传感技术和大数据分析技术相结合,研发计算机辅助软件。结果表明:通过对分离器运行数据进行实时获取与处理,可实现RBI风险分析结果的精确性和自动化,从而提高储气库站场的安全管理水平。
In order to cope with increasingly complex technological process of gas storage separators and larger process equipment,risk analysis of gas storage separators is conducted based on RBI technology.Firstly,by collecting and integrating multi-source heterogeneous data such as equipment parameters,operating parameters,and environmental parameter,a separator failure model was constructed,its failure probability and area of failure consequences were calculated,and its risk was ranked so as to establish inspection cycle and inspection measures.Then,computer-aided software was developed based on RBI method by using advanced sensing technology and big data analysis technology.The results show that with real-time acquisition and processing of operating data,RBI risk analysis results can achieve both accuracy and automation,thus improving safety management in gas storage station.
作者
王金江
王舒辉
张兴
张来斌
WANG Jinjiang;WANG Shuhui;ZHANG Xing;ZHANG Laibin(College of Safety and Ocean Engineering,China University of PetroleuBeijing,Beijing 102249,China;PetroChina Pipeline R&D Center,Langfang Hebei 065000,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2020年第2期21-27,共7页
China Safety Science Journal
基金
国家自然科学基金资助(U1862104)
