基于灰色关联分析的LNG接收终端人因事故辨识方法  

Human accidents identification method of LNG receiving terminal based on grey relational analysis

作　　者：徐涛龙[1] 姚安林[2] 曾祥国[1] 李又绿[2] 蒋宏业[2] 

机构地区：[1]四川大学建筑与环境学院,成都610065 [2]西南石油大学石油工程学院,成都610500

出　　处：《中国安全生产科学技术》2011年第9期97-101,共5页Journal of Safety Science and Technology

基　　金：中国石油西气东输管道公司项目(编号:XQS-GL01380);国家科技支撑计划项目(编号:2006BAK02B01)

摘　　要：陆岸LNG接收终端是LNG海上进口系统中的重要设施。针对我国LNG接收终端人因事故不断增多的现状,基于航空事故调查分析中的HFACS事故致因分析模型,将人因事故的影响因素归纳为个人因素、人际因素、环境因素、监督因素和组织因素五大类,结合灰色理论中的灰色关联分析,得到了LNG接收终端人因事故辨识方法。最后,运用该方法对某LNG接收终端人因事故进行辨识,通过灰关联度的计算,找出其最主要的不安全事件来自"个人因素"中的个人"安全意识不强"。此方法克服了小样本事故数据带来的弊端,对保障LNG接收终端的安全运行具有一定的指导意义。Onshore LNG receiving terminal is an important facility in offshore LNG import system. According to the growing human accidents of LNG receiving terminals in China at present, based on the HFACS analysis of ac- cident causation model which had been used in the aviation accident investigation, the impact factors of human accidents were divided into five categories, which contain personal factors, group factors, environmental factors, supervision and organizational factors, and the human accidents identification method of LNG receiving terminal was obtained based on grey relational analysis of gray theory. Finally, the method was applied to identify the acci- dents happened in an LNG receiving terminal, and it was found that the main insecurity events were ＂the una- wareness of security＂ in ＂personal factors＂ by calculating the grey relational grade. This method overcomes the disadvantage due to the small sample of accident data, which has certain guiding sense to safeguard the safety operation of LNG receiving terminals.

关 键 词：LNG接收终端 人因事故 灰色关联分析 HFACS 辨识方法 

分 类 号：X91[环境科学与工程—安全科学]