核电厂数字化主控室操纵员行为形成因子评价模型  

Evaluation Model of Performance Shaping Factor of Operator in Digital Main Control Room of Nuclear Power Plant

作　　者：刘艳琪 张力[1,2] 刘雪阳[2] 刘建桥 李林峰 LIU Yanqi;ZHANG Li;LIU Xueyang;LIU Jianqiao;LI Linfeng(Schoolof Nuclear Scienceand Technology University of South China,Hengyang 421001,China;Institute of Human Factors&Safety Engineering,Hunan Institute of Technology,Hengyang 421002,China;Suzhou Nuclear Power Research Institute,Suzhou 215000,China)

机构地区：[1]南华大学核科学与技术学院,湖南衡阳421001 [2]湖南工学院人因与安全工程研究院,湖南衡阳421002 [3]苏州热工研究院有限公司,江苏苏州215000

出　　处：《原子能科学技术》2021年第5期926-932,共7页Atomic Energy Science and Technology

基　　金：国家自然科学基金资助项目(71771084)。

摘　　要：由于人因可靠性分析(HRA)方法中用于量化基本人因失误概率(HEP)的行为形成因子(PSF)数目众多,且一般是通过专家评判,从而带有主观性、模糊性和不确定性。本文提出一种利用相关系数矩阵、图的距离分类和主成分分析法相结合的方法构建核电厂数字化主控室操纵员PSF的评价模型,其目的是识别不同类型的人因事件中主要影响人因绩效的PSF,以供决策减少人因失误。对某核电厂的179起人因事件报告进行实验,结果表明该评价模型能对核电厂数字化主控室操纵员的PSF进行有效评价。There are a large number of performance shaping factor(PSF)summed up from typical human reliability analysis(HRA)methods.PSF is generally judged by experts in order to quantify the basic human error probability(HEP)in HRA.Hence it is subjective,vague and uncertain.An evaluation model of PSF was constructed based on the combination of correlation coefficient matrix,distance classification of graphs and principal component analysis(PCA)in the digital main control room(MCR)of nuclear power plant(NPP).The purpose was to identify the main PSF which affects human performance in different types of human error events for making decisions to reduce human error.179 post-event reports of one NPP were provided to illustrate the evaluation,and the results indicate that the evaluation model can effectively evaluate the PSF of the operators in the digital MCR of NPP.

关 键 词：人因可靠性分析 行为形成因子 人因事件 主成分分析 图聚类算法 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]