作者机构：
[张力; 青涛; 李鹏程; 戴立操] Human Factor Institute, University of South China, Hengyang, China;[赵明] CNNP Nuclear Power Operations Management Co. Ltd., Haiyan, China;[胡鸿; 邹衍华; 张力] Human Factor and Safety Management Institute, Hunan Institute of Technology, Hengyang, China
作者机构：
[张力; 李鹏程; 姜瑜; 蒋建军; 戴立操; 罗迪凡] Human Factor Institute, University of South China, Hengyang, China;[邹衍华; 张力] Hunan Institute of Technology, Hengyang, China
作者机构：
[张力] Hunan Institute of Technology, Hengyang, Hunan, China;[鄢跃勇] State Nuclear Power Automation System Engineering Company, Shanghai, China;[青涛; 鄢跃勇; 戴立操; 张力] Human Factors Institute, University of South China, Hengyang, Hunan, China;[青涛; 鄢跃勇; 张力] College of Nuclear Science and Technology, University of South China, Hengyang, Hunan, China
通讯机构：
[Jiang, Jianjun] U;Univ South China, Human Factors Inst, Coll Econ & Management, Hengyang 421001, Hunan, Peoples R China.
关键词：
Digital human-computer interface;Dynamic simulative function;Human reliability;Layout of relative positions;Linear reversal genetic hybridization
摘要：
This is the first in a series of papers describing the optimal design method for a digital human-computer interface of a nuclear power plant (NPP) from three different points based on human reliability. The purpose of this series is to propose different optimization methods from varying perspectives to decrease human factor events that arise from the defects of a human computer interface. The present paper mainly discusses the optimization method for the layout of monitoring units. The layout of relative positions among different functional blocks in a digital human computer interface influences the time required to search information. The risk of an event increases with increases in the time required to search for information because of the limited time available during a nuclear emergency. To avoid the risk of such an event, the authors propose an optimization method for the layout of monitoring units based on human reliability for a digital human computer interface of a NPP. In the optimal design process, the authors propose a linear reversal genetic hybridization method that uses the Bayesian method as an adaptive function and takes human reliability as the optimized criterion. To quantitatively obtain the probability of human reliability, the authors use dynamic simulative functions including time and human factors. Finally, an experiment is conducted. The results indicate that the linear reversal genetic hybridization method has good stability and sensitivity and that the proposed optimization method has good accuracy and convergence. (C) 2015 Elsevier B.V. All rights reserved.
作者机构：
[胡鸿] College of Nuclear Science and Technology, University of South China, Hengyang, HuNan, 421001, China;[张力; 易灿南; 陈青青; 胡鸿] Ergonomics and Safety Management Institute, Hunan Institute of Technology, Hengyang, Hunan, 421001, China;[戴立操; 张力; 蒋建军] Human Factors Institute, University of South China, Hengyang, Hunan, 421001, China
通讯机构：
College of Nuclear Science and Technology, University of South China, China
期刊：
PSAM 2014 - Probabilistic Safety Assessment and Management,2014年
作者机构：
[Hong, Hu; Chen, Qin-Qin; Li, Zhang; Yi, Can-Nan] Ergonomics and safety management Institute, Hunan Institute of Technology, Hengyang, China;[Dai, Li-Cao; Jiang, Jian-Jun] Human Factors Institute, University of South China, Hengyang, China
摘要：
The operators sometimes can not judge next possible monitoring object which would lead to monitoring delay or transfer error in the monitoring digital human-computer interface (DHCI) parameter information process in nuclear power plant(NPP). For this purpose, the Markov process based forecasting path dynamic plan (FPDP) method which included forecasting path model, forecasting path plan algorithm and the calculation method of transfer path success probability was proposed. Then the monitoring transfer behavior of the operators when SGTR(Stream Generator Tube Rupture) occurred abruption accidents is analyzed based on the method proposed in this paper, taking the DHCI as the source node of monitoring task of t time, the transfer path to next monitoring object was obtained successfully to improve the efficiency of monitoring and to minimize the risk of monitoring error, which will also contribute to the analysis of the driving mechanism of operators' monitoring activities, to train simulated for monitoring behavior, and to optimize the digital man-machine interface.
期刊：
PSAM 2014 - Probabilistic Safety Assessment and Management,2014年
作者机构：
[Dai, Licao; Li, Pengcheng] Human Factor Institute, University of South China, Hengyang, China;[Hu, Hong; Zou, Yanhua; Zhang, Li] Hunan Institute of Technology, Hengyang, China
摘要：
More and more main control rooms in advanced nuclear power plants (NPP) use computer-based displays and controls, which are called digital control systems (DCS). DCS changes some technological aspects in a NPP control room, including information display systems, alarm systems, controllers and components and computer-based procedure systems. These changes on man-machine interface (MMI) alter the ways of operators acquiring information and controlling the system and thus give rise to new human error issue. In order to investigate the impact of the new MMI on human reliability, the researchers conducted a study in a reference plant with DCS. The practical operation data as well as the experimental data were acquired to study the causes, effects and recovery factors of the new human errors. The research makes an effort on providing a foundation for human error prevention in a DCS and human reliability analysis.
期刊：
PSAM 2014 - Probabilistic Safety Assessment and Management,2014年
作者机构：
[Zhang, Li; Li, Pengcheng; Dai, Licao; Luo, Difan; Jiang, Jianjun] Human Factor Institute, University of south China, Hengyang, China;[Zhang, Li] Hunan Institute of Technology, Hengyang, China
摘要：
Situation awareness (SA) is a key element that impacts operator's decision-making and performance in nuclear power plants (NPPs). The subsequent complex cognitive activities can not be correctly completed due to errors of situation awareness (ESA), which will lead to disastrous consequences. In order to investigate and analyze operator's situation awareness error in digitized main control room (DMCR) of the nuclear power plants, the model of ESA is established, the classification system of SAE is developed based on the built SAE model, and the method of ESA is also constructed on the basis of the observation of simulator and operator surveys. Finally, a case study is provided to illustrate the concrete application of the method. It provides a theoretical and practical support for the operator's SAE analysis in the digitized main control room of nuclear power plants.
作者机构：
[张力; 胡鸿; 李鹏程; 戴立操] Human Factor Institute, University of South China, Hengyang, China;[胡鸿; 张力] Institute of Human Factor and Safety Management, Hunan Institute of Technology, Hengyang, China
通讯机构：
Human Factor Institute, University of South China, Hengyang, China
作者机构：
[张力; 李鹏程; 戴立操] Human Factor Institute, University of South China, Hengyang, China;[赵明] CNNP Nuclear Power Operations Management Co., Ltd., Haiyan, China;[胡鸿; 张力] Institute of Human Factor and Safety Management, Hunan Institute of Technology, Hengyang, China
通讯机构：
Human Factor Institute, University of South China, Hengyang, China
期刊：
PSAM 2014 - Probabilistic Safety Assessment and Management,2014年
作者机构：
[Zhang, Li; Zou, Yanhua] Institute of Human Factors Engineering and Safety Management, Hunan Institute of Technology, Hengyang, China;[Zhang, Li; Dai, Licao; Zou, Yanhua; Li, Pengcheng] Human Factor Institute, University of South China, Hengyang, China;[Zhang, Li; Zou, Yanhua] School of Nuclear Science and Technology, University of South China, Hengyang, China
摘要：
The current human reliability analysis method of analyzing system operator's reliability, carried out from the perspective of operators themselves, is relatively static, for it hasn't taken the effect of system evolution on the operators' performance into consideration. In view of operator reliability in digital control system in nuclear power plant, this paper, based on boolean network theory, tries to explore the operators' behavior in the dynamic logic process of system evolution, aiming at finding out the dynamic evolution process of human-system interaction. A new technique, called the semi-tensor product of matrices, can convert the logical systems into standard discrete-time dynamic systems, and then the discrete-time linear equation and reliability analysis model are established. Data collected from simulation experiments carried out in full-size simulator in LingDong Nuclear Power Plant is found to be in consistence with the operator reliability model constructed before.
作者机构：
[张力] Hunan Institute of Technology, Hengyang 421002, China;[Zeng, Chun; 宋明海; 彭晓春] Third Qinshan Nuclear Power Plant, Haiyan 314300, China;[赵明; 张力; 戴立操] Human Factor Institute, University of South China, Hengyang 421001, China
作者：
Dai Licao*;Li Pengcheng;Huang Shudong;Zhao Ming
期刊：
Proceedings of the International Conference on Industrial Engineering and Engineering Management,2012年:922-926 ISSN：2157-3611
通讯作者：
Dai Licao
作者机构：
[Dai Licao; Huang Shudong; Li Pengcheng; Zhao Ming] Univ South China, Human Factor Inst, Hengyang City, Peoples R China.
通讯机构：
[Dai Licao] U;Univ South China, Human Factor Inst, Hengyang City, Peoples R China.
会议名称：
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
会议时间：
DEC 10-13, 2012
会议地点：
HONG KONG
会议主办单位：
[Dai Licao;Li Pengcheng;Huang Shudong;Zhao Ming] Univ South China, Human Factor Inst, Hengyang City, Peoples R China.
会议论文集名称：
International Conference on Industrial Engineering and Engineering Management IEEM
关键词：
safety of nuclear power plant;organizational factors;R-type cluster analysis;nuclear power plant
摘要：
On the basis of the existed classification system of organizational factors, questionnaire and event analysis, a more comprehensive classification scheme is developed. The main framework is composed of target and strategy, organizational structure and organizational culture. The scheme makes efforts to overcome the deficiencies of the other classification system. On the basis of this classification framework, 71 human factor events between 2000 and 2003 are reanalyzed. Through descriptive statistical analysis, main management deficiencies in connection with organization are identified. On the basis of R-type clustering, main categories of organizational factors are concluded.
作者机构：
[张力; 蒋建军; 皱萍萍; 李鹏程; 戴立操] Human Factors Institute, University of South China, Hengyang, Hunan, 421001, China;[张力] Hunan Technical College, Hengyang, Hunan, 421001, China;[王以群] Center for Research in Information Management, University of South China, Hengyang, Hunan, 421001, China;[彭玉元] Guangzhou Kangda Vocational Technical College, Guangzhou, 510663, China
通讯机构：
Human Factors Institute, University of South China, China
