基于I2SI方法的实验安全风险量化定级技术研究与应用  

Research and application of quantitative risk leveling technology for experimental safety based on I2SI method

作　　者：姜雪 林俣洁[1,2] JIANG Xue;LIN Yujie(State Key Laboratory of Chemicals Process Safety Control,SINOPEC,Qingdao 266071,China;SINOPEC National Petrochemical Project Risk Assessment Technical Center Co.,Ltd.,Qingdao 266071,China)

机构地区：[1]中国石油化工股份有限公司化学品安全控制国家重点实验室,山东青岛266071 [2]中国石化国际石化项目风险评估技术中心有限公司,山东青岛266071

出　　处：《实验技术与管理》2022年第8期210-217,共8页Experimental Technology and Management

基　　金：中国石化重大专项世界一流绿色能源化工企业关键技术开发与应用(320131)。

摘　　要：为解决实验室关键设备可靠性数据缺失导致的实验安全风险场景界定不清、实验安全风险无法量化、分级管控清单无法明确等问题,通过研究实验室及工业装置关键风险变量表征差异、实验室常见安全防护措施等可靠性数据,基于I2SI方法优化改进,形成一套适用于实验安全量化评估方法,建立了4类关键风险变量表征模型和实验风险分级等效模型,并应用于某石化企业井场泄漏扩散风洞实验。结果表明,在现有安全控制措施下该井场存在较大风险,应加强对该实验配气单元安全防护措施的完善维护。In order to solve the problems of unclear definition of experimental safety risk scenarios caused by the lack of reliability data of key equipment in laboratory, unable to quantify the experimental safety risk and unclear classification control list, the reliability data of key risk variables characterization differences between laboratory and industrial equipment and common safety protection measures in laboratory are studied. Based on the optimization and improvement of I2SI method, a set of quantitative evaluation method suitable for experimental safety is formed. Four key risk variables characterization models and experimental risk classification equivalent models are established, and applied to the leakage and diffusion wind tunnel experiment of a petrochemical enterprise well site. The results show that there is a large risk in the well site under the existing safety control measures, and the improvement and maintenance of the safety protection measures for the gas distribution unit of the experiment should be strengthened.

关 键 词：基于风险的本质安全评估 关键风险变量可靠性 风险分级 风险量化 

分 类 号：X947[环境科学与工程—安全科学]