原子能科学技术Issue(11)：2062-2068,7.DOI:10.7538/yzk.2015.49.11.2062
数据驱动的操纵员情景意识因果模型研究
Study on Data-driven Operator’s Situational Awareness Causality Model
摘要
Abstract
In order to overcome the shortcomings of traditional assessment method of situational awareness (SA)reliability,a more robust SA causality model was built in this paper.Firstly,the organization-oriented SA error analysis framework or method was adopted to analyze nuclear power plant incidents and 132 samples were obtained. Then,the correlation analysis method was used to identify the correlation relationships between factors of influencing SA and factor analysis method was used to identify the scenes triggering SA errors, including operator’s mental level, operator’s work attitude,stress level and system situation display level.Finally,based on the above analysis results,a data-driven SA causality model was established.The results show that the data-based SA causality model can identify the scenes triggering SA errors.It is useful to improve the accuracy of quantitative assessment of SA reliability because of considering the causality relationships of performance shaping factors.关键词
情景意识/因果模型/人因失误/行为形成因子Key words
situational awareness/causality model/human error/performance shaping factor分类
资源环境引用本文复制引用
李鹏程,张力,戴立操,邹衍华,蒋建军,罗迪凡,姜瑜..数据驱动的操纵员情景意识因果模型研究[J].原子能科学技术,2015,(11):2062-2068,7.基金项目
国家自然科学基金资助项目(71071051,71371070,71301069) （71071051,71371070,71301069）
岭东核电公司科研项目资助(KR70543) （KR70543）
湖南省战略性新兴产业产学研创新平台创新能力建设项目资助(2012GK4101) （2012GK4101）
南华大学管理科学与工程重点学科资助项目 （）
