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
摘要：
We investigate the properties of strange quark matter (SQM) and quark stars (QSs) in the framework of SU(3) Nambu–Jona-Lasinio (NJL) model with two types of vector interactions under strong magnetic fields: (1) the flavor-dependent repulsion among u, d, and s quarks with the coupling constant GV, and (2) the universal repulsion and the vector-isovector interaction with the coupling constants gV and GIV. The effects of the two types of vector interactions on the constituent quark mass, vacuum quark mass, quark chemical potential, and quark fraction in SQM under strong magnetic fields are studied, and the results indicate that these physical quantities for SQM are all sensitive to the two types of vector interactions in NJL model under magnetic fields. Using a density-dependent magnetic field profile which is introduced to describe the magnetic field strength distribution inside the magnetars, we calculate the properties of spherical QSs by using two extreme cases for the orientation of the magnetic field inside the stars, i.e., the radial orientation in which the magnetic fields are along the radial direction in stars, and the transverse orientation in which the magnetic fields are randomly oriented in the plane which is perpendicular to the radial direction. Our results indicate that the maximum mass of QSs may dependent on both the strength distribution and the orientation of the magnetic fields inside QSs by using SU(3) NJL model.
会议论文集名称：
Proceedings of the 21st international conference on industrial engineering and engineering management: IEEM 2014014, Zhuhai, China
关键词：
Digital control room;Forecasting path programming method;Monitoring;Nuclear power plant;SGTR
摘要：
It is difficult for operators in main control room (MCR) of nuclear power plant (NPP) to determine the next possible monitoring object when they are monitoring digital human-machine interface (DHMI) parameter information process, so monitoring delay or transfer error would occurs. According to this situation, a forecasting path programming method (FPPM) in monitoring process was proposed based on human factor reliability. Firstly, forecasting path model in monitoring process is proposed; then a FPPM which covers path tree algorithm building based on information filtration and searching path algorithm is presented; finally, the calculation method of transferring path successful probability was raised. For future verification for the proposed method, taking 3K00118YMA DHMI in SGTR (Stream Generator Tube Rupture) event process of NPP as monitoring task source of t time, the transferring path of next monitoring object was obtained successfully to minimize the risk of monitoring error and improve the efficiency of monitoring.
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.
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;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.
