【精品文档】389关于加油站危险源安全因素识别有关的外文文献翻译成品：城市CNG加油站安全人为因素识别的新方法（中英文双语对照）

此文档是毕业设计外文翻译成品（ 含英文原文+中文翻译），无需调整复杂的格式！下载之后直接可用，方便快捷！本文价格不贵,也就几十块钱！一辈子也就一次的事！ 外文标题：The New of Human Factors Identification for Urban CNG Fuelling Station’s Safety 外文作者：CAI Liang-jun，YAO An-lin, JIANG Hong-ye 文献出处: World Automation Congress 2018 (如觉得年份太老，可改为近2年，毕竟很多毕业生都这样做) 英文3052单词，20268字符(字符就是印刷符)，中文4939汉字。（如果字数多了，可自行删减，大多数学校都是要求选取外文的一部分内容进行翻译的。） The New of Human Factors Identification for Urban CNG Fuelling Station’s Safety Abstract—The correct identification of the human factors of CNG fuelling station has material effect, to draw up and to carry out the safety control measure for fuelling station’s safety. This article targeted the human factors, which affect the CNG fuelling station safety incident s human factor, using the theoretical superiority of SHEL and Reason model in human error possible root s identification, and then, established the SHEL-Reason union model. Through the union model s usable analysis, and the application examination which recognize human factor in the CNG fuelling station, played a good effectiveness of the application. For domestic CNG fuelling station human- machine harmonious quantitative management practice, reserve technology conditions and s for human factors based, risk assessment, prevention strategies set a solid foundation. Keywords：natural gas; fuelling station; human factors; identification ; safety assessment I.INTRODUCTION Due to complex environment conditions and unsafe, the CNG fuelling station management work is very difficult. In recent years, the incidents happened around CNG fueling station has reminded people, how to correctly identify the accidents affecting factors of CNG fueling station, especially potential human factors influence, is to develop and implement relevant safety management measures of the key steps. However, the existing research facilities only pay attention to the station equipment conditions, environment factors and impact of security management system[1～5], lack of further analysis to personnel factors ,such as potential trigger, so the existed safety precautionary measures is difficult to fundamentally solved avoid city CNG fuelling station accidents. With the new scientific and technological achievements continuously introducing to industries, industrial production and daily life in the cause of the accident investigation shows, the percentage of accidents caused by unsafe behavior of people is increasing, and therefore, in safety engineering research fields, always be not taken seriously the human factors have become more and more attracted people s attention. However, in practice, the human factors often affect the various securities with fuzzy and random recessive manner, so it is difficult to be objective and true to clearly identify human factors. Therefore, combined the advantage of SHEL and Reason human factors research model, targeted urban CNG fueling station accident of significant potential human impact factors, and