作者机构:
[青涛; 叶海峰; 张力] School of Nuclear Science and Technology, University of South China, Hengyang, China;[李鹏程; 张力] Human Factor Institute, University of South China, Hengyang, China;[张力] Hunan Institute of Technology, Hengyang, China
作者机构:
[Zhang, Li; Zou, Yanhua] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Hunan, Peoples R China.;[Zhang, Li; Zou, Yanhua] Hunan Inst Technol, Inst Human Factors Engn & Safety Management, Hengyang 421002, Hunan, Peoples R China.;[Zhang, Li; Li, Pengcheng] Univ South China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.
通讯机构:
[Zhang, Li] H;Hunan Inst Technol, Inst Human Factors Engn & Safety Management, Hengyang 421002, Hunan, Peoples R China.
关键词:
Digital main control room;Dynamic network model;Human performance;Reliability forecasting;Situation assessment
摘要:
With the technical development of computer hardware and software, digitalization is a trend in large-scale complex systems such as nuclear power plants (NPPs). It changes the way main control room (MCR) operators interact with systems. Faced with these technical changes, operators need to continue improving their situation assessment (SA) reliability level. In addition to evaluate operators' SA reliability, managers and shift supervisors also want to forecast their SA reliability level. There have been many studies with respect to operators' SA, but most of them are static analysis method and cannot be applied to predict operators' SA reliability. So, on the basis of different forecasting approaches and observation data, how to predict the operators' SA reliability level has became a problem that many analyst interest in. In this paper, first we identified the influence factors associated with SA reliability, and then we developed the SA reliability model, finally we proposed a reliability forecasting model by integrating time series forecasting method with dynamic network model (DNM). Our experiment verification focused on steam generator tube rupture (SGTR) event, using the forecasting model, we demonstrated how to predict operators' SA reliability during the course, and the prediction results are consistent with measurement results. (C) 2015 Elsevier Ltd. All rights reserved.
期刊:
Mathematical Problems in Engineering,2015年2015 ISSN:1024-123X
通讯作者:
Zou, Qingming
作者机构:
[Zou, Qingming] Univ South China, Sch Econ & Management, Changsha 421001, Hunan, Peoples R China.;[Ye, Guangyu] S China Univ Technol, Sch Business Adm, Guangzhou 510640, Guangdong, Peoples R China.
通讯机构:
[Zou, Qingming] U;Univ South China, Sch Econ & Management, Changsha 421001, Hunan, Peoples R 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:
[胡鸿; 张力] College of Nuclear Science and Technology, University of South China, Hengyang, China;[李鹏程; 蒋建军] Human Factors Institute, University of South China, Hengyang, China;[胡鸿; 陈青青; 易灿南; 张力] Ergonomics and Safety Management Institute, Hunan Institute of Technology, Hengyang, China
关键词:
数字化核电厂;操纵员;监视;人因可靠性分析;监视行为可靠性
摘要:
为了建立数字化核电厂操纵员监视行为可靠性量化模型,在分析电厂数字化主控室设计特征和操纵员监视行为的基础上,结合监视活动过程与规律,将监视行为可靠性划分为屏幕间转移可靠性、屏幕内信息搜索转移可靠性和信息察觉可靠性3部分。基于Senders的监视理论建立了屏幕间转移可靠性计算模型;基于注意力资源分配理论建立了屏幕内信息搜索转移可靠性计算模型;考虑行为形成因子(PS F )的因果关系,基于贝叶斯网络建立了信息察觉可靠性计算模型,并给出了“误安注”场景下监视可靠性计算应用实例。结果表明,建立的监视行为可靠性模型既能客观地描述操纵员监视过程,又能给出其可靠性量化结果,克服了传统方法的不足,提高了人因可靠性分析的精度,为数字化主控室操纵员监视行为可靠性分析与工程应用提供了理论与技术支持。
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;Layout of relative positions;Linear reversal genetic hybridization;Human reliability;Dynamic simulative function
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.
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
作者机构:
[Zhang, Li; Zou, Yanhua] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Hunan, Peoples R China.;[Zhang, Li; Zou, Yanhua] Hunan Inst Technol, Inst Human Factors Engn & Safety Management, Hengyang 421002, Hunan, Peoples R China.;[Zhang, Li] Univ South China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.
通讯机构:
[Zou, Yanhua] H;Hunan Inst Technol, Inst Human Factors Engn & Safety Management, Hengyang 421002, Hunan, Peoples R China.
关键词:
Boolean network;Digital main control room;Dynamic evolution;Human reliability analysis;Operators' behavior;Semi-tensor product
摘要:
Digitalization is a trend in large-scale complex systems such as nuclear power plants (NPPs). It changes the way main control room (MCR) operators interact with systems. Many studies shows that the adoption of digital technology has brought some new risks for MCR operators, and whether the reliability of these technologies can meet safety and economic requirements has become one of the urgent problems that NPPs must solve. The study consists of two parts. In Part I, we investigated the dynamic evolution of operators' four behaviors: monitoring and detection (MD), situation assessment (SA), response planning (RP), and response implementation (RI). This paper incorporates Boolean network (BN) analysis into the field of human reliability analysis (HRA), by applying semi-tensor product of matrix (STP), whereby the dynamics evolution of operators' behavior can be expressed in an algebraic form. Utilizing this algebraic representation, a BN analysis model is proposed, on which we based a qualitative analysis. An illustrative example is given to show how to construct the BN model via experimental data. We also discuss the advantage of the proposed methodology, its feasibility and highlighting the future work remaining. (C) 2015 Elsevier Ltd. All rights reserved.
作者机构:
[张力; 青涛; 蒋建军; 李鹏程; 王以群] Human Factors Institute, School of Economic &, Management, University of South China, Hengyang, China;[张晓玲; 伍大清] School of Computer Science and Technique, University of South China, Hengyang, China;[李敏] Networks Center, University of South China, Hengyang, China;[彭玉元] School of Computer Engineering, Guangzhou College of South China University of Technology, Guangzhou, China;[张力] Hunan Institute of Technology, Hengyang, China
作者机构:
[谢天] School of Economics &, Management, University of South, Hengyang, China;[李从东; 谢天; 曹策俊; 汤勇力] School of Management, Jinan University, Guangzhou, China
通讯机构:
School of Economics & Management, University of South, Hengyang, China
作者机构:
[张力; 青涛; 蒋建军; 李鹏程; 王以群] Human Factors Institute, School of Economic &, Management, University of South China, Hengyang, China;[陈文] School of Environmental Protection and Safety Engineering, University of South China, Hengyang, China;[彭玉元] Department of Computer Engineering, Guangzhou College of Commerce, Guangzhou, China;[张力] Hunan Institute of Technology, Hengyang, China
关键词:
Optimal timing;Pollution control technology adoption;Technological uncertainty;Tradable emissions permits
摘要:
To protect environment need manufacturers to improve pollution abatement technology, and technology adoption is the effective means for achieving the purpose. Using real option theory and dynamic program method, this paper focuses on the research of the optimal timing of firms to adopt new pollution abatement technology under tradable emissions permits. It is assumed that in the process of new pollution abatement adoption, the manufacturers face two kinds of uncertain factors that are the speed new technology appearing and new technology innovation level. The results show that the optimal adopting timing of firms adopt new pollution abatement technology interrelate with many factors, this factors include new technology appearing speed, technology innovation level, discount rate, initial pollution abatement technology, efficiency of production technology, emissions permits price, product price, and output elasticity, etc. And it is showed by simulation model that the faster new technology appearing the earlier manufacturers adopt new technology and the higher the new technology improve the efficiency the later manufacturers adopt new technology. On other variables, we also obtain the corresponding simulation results.
期刊:
WIT Transactions on Information and Communication Technologies,2014年52:217-225 ISSN:1743-3517
作者机构:
[Yi, Yongxi] College of Economics and Management, University of South China, Hengyang, China;[Liu, Mengya; Lia, Shoude] Antai College of Economics and Management, Shanghai Jiaotong University, Shanghai, China
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:
[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.
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
期刊:
Journal of Chemical and Pharmaceutical Research,2014年6(6):2647-2653 ISSN:0975-7384
通讯作者:
He, Qiao-Yun
作者机构:
[Chen, Chun-Hua; He, Qiao-Yun] Department of Business Administration, University of South China University of Technology, Guangzhou, China;[He, Qiao-Yun] Department of Economics and Management, Guangdong Institute of Science and Technology, Guangzhou, China