摘要
情景意识(situation awareness,SA)是影响核电厂操纵员决策和绩效的关键要素,SA可靠性是人因可靠性分析的重要组成部分.为了对SA可靠性进行定量评价,通过与核电厂操纵员访谈,建立数字化主控室操纵员的情景意识可靠性分析的贝叶斯网络模型.在此基础上,建立情景意识可靠性的定量评价程序,并结合核电厂全尺寸模拟机实验数据和贝叶斯理论,更为客观地确定了影响SA可靠性的影响因子的条件概率分布,用于定量计算SA可靠性,并通过实例分析说明该模型的具体应用.结果表明,该模型能为数字化核电厂操纵员的SA可靠性评价提供更为可靠性的数据支持和规范化的分析程序.
Situational awareness (SA) is a key element impacting operators' decision-making and performance in nuclear power plants. SA reliability is an important part of human reliability analysis. In order to quantitatively assess SA reliability, the Bayesian network model of operators' SA reliability analysis in digital main control rooms is built by interviewing with operators. Furthermore, a quantitative assessment procedure of SA reliability is established, and the conditional probability distributions of influencing factors are more objectively determined on the basis of the full-size simulator experiment data of nuclear power plants and Bayesian theory. It is used to quantitatively calculate SA reliability, and a case is used to illustrate specific application of the established model. The results show that the model can provide more reliable data and a standardized analysis procedure to support operators' SA reliability evaluation in digital nuclear power plants.
出处
《系统工程理论与实践》
EI
CSSCI
CSCD
北大核心
2016年第1期243-252,共10页
Systems Engineering-Theory & Practice
基金
国家自然科学基金(71071051
71371070
71301069)
岭东核电公司科研项目(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(2012GK4101)
湖南省重点学科项目--管理科学与工程学科资助~~
关键词
情景意识
可靠性
数字化主控室
核电厂
贝叶斯理论
situational awareness
reliability
digital main control room
nuclear power plant
Bayesian theory