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1、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 Method of Human Factors Identification for Urban CNG Fuelling Stations 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)
2、，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 Method of Human Factors Identification for Urban CNG Fuelling Stations SafetyAbstractThe 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 fuell
3、ing stations safety. This article targeted the human factors, which affect the CNG fuelling station safety incidents human factor, using the theoretical superiority of SHEL and Reason model in human error possible roots identification, and then, established the SHEL-Reason union model. Through the u
4、nion models 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 metho
5、ds for human factors based, risk assessment, prevention strategies set a solid foundation.Keywords：natural gas; fuelling station; human factors; identification method; safety assessmentI.INTRODUCTIONDue to complex environment conditions and unsafe, the CNG fuelling station management work is very di
6、fficult. 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
7、steps. However, the existing research facilities only pay attention to the station equipment conditions, environment factors and impact of security management system15, lack of further analysis to personnel factors ,such as potential trigger, so the existed safety precautionary measures is difficult
8、 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 behav
9、ior 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 peoples attention. However, in practice, the human factors often affect the various securities with fuzzy and random recessive manner
10、, 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 this paper put forward a kind of joint mo
11、del with SHELReason, establishes a new identification method of urban CNG fueling station man-made factors.II.SHEL and Reason models compared to human factors researchA.SHEL and Reason models introduced SHEL model 68 proposed by Edwards, and approved by Frank Hawkins modification and improvement, is
12、 now widely used model of human factors research. SHEL model (figure 1) by software, hardware, environment and composed pieces of life, the relationship between various components and people for this model is four interfaces, who is a central part of the model system. Each module boundary is irregul
13、ar, if want to avoid causing collapse accident due to pressure overrun, these irregular interface must closely matching, anatomizes, can play the normal function of the system, otherwise, it will become possible source of human error.Reason Model (Figure 2) is James Reason, in its psychological mono
14、graph Human error9,10, its core is to hole represents a mistake (defects) point, if it is unsafe barriers blocking the event out multi-level, so that the light All slices directly through the holes, it will cause accidents; if any move is a logical chain reaction chip, to prevent the light directly
15、through the diaphragm holes, then can avoid accidents. The model analysis and highlighted the potential organization overall accident prevention ability, from the stakeholders to direct interaction subsystem such as location of the accident to expand horizons.B.The man-made factors differences of SH
16、EL and Reason model comparison research1) Reason and SHEL model for comparison research superiorityCompared to other models in terms of human factors research, Research models SHEL advantage is mainly manifested in the following aspects. One is able to clearly show the man-machine working environment of each component of the important image unit, Second, it can show the work of the independent association between each unit; t
