复杂人机系统班组人误模型与量化分析

讨论一个班组人员行为模型,即包括:任务模型、事件模型、班组模型和人-机交互模型4个模块,并用其模拟和分析事故状态下的运行班组对异常事故的响应过程;利用班组认知过程流程图模型表征事件发展过程中班组成员对事故的征兆识别、决策、计划和行动执行的响应过程;采用CREAM的量化分析技术,对核电站的蒸汽发生器管道破管事故的班组认知失误事件进行量化分析。     

核电站事故前人因可靠性分析方法

人因可靠性分析 (HRA)已成为概率安全分析 (PSA)必不可少的内容 ,事故前人因事件可靠性分析对有效预防维修、调校工作中的人因失误有着重要作用 ,是人因可靠性分析的重要组成部分 ,对PSA最终计算结果有重要影响。笔者结合核电站人因可靠性分析的实际需求 ,运用了以THERP为主的人因失误概率评价方法 ,创建了事故前人因事件分析的基本程序、方法及分析文档模式 ,表述了程序化的事故前人因事件分析模式 ,为我国核电站事故前人因可靠性分析提供了完整和有效的分析方法 ,并有效用于秦山核电站的PSA。     

核电站人因事件分析与改进对策

对于核电站而言,安全是存在和发展的前提。统计资料显示,全球核电站的人因事故总数超过事故总起数的60%,有的核电站其最高值已达到85%。可见,人因事件是影响核电厂安全稳定运行的主要因素,核电站的人因事件必须得到足够的重视。     

CREAM追溯法在交通事故人因分析中的应用研究

人因失效是道路交通事故发生的主要原因.认知可靠性和失误分析方法(CREAM)可以追溯事故发生的根原因,并对事故隐患进行预测.它强调情景环境对人的行为的重要影响,较符合驾驶员可靠性分析的需求.研究了CREAM中的追溯分析方法在道路交通人因失效事件根原因分析中的应用,建立了道路交通事故的人因失效模式,对人因失效基本原因的分类和后果-前因关系进行归纳、整理和补充,提出了适用于道路交通人因失效事件的“后果-前因”追溯表和具体的追溯分析步骤.进而对其定量计算进行了探索,并通过实例探讨了其应用,得到事故发生的根原因.     

现代化工业企业人因失误分析与事故预防

现代化工业企业中人因失误已成为影响系统安全与可靠性的最主要因素，通过分析现代化企业的基本特征，探讨了系统监控人员行为模型、人因失误分类及原因，并提出了人因事件的预防策略。     

核电站人因事件心理因素的分析与探讨

1概述 人由于其生理、心理、社会、精神等特征，既存在一些内在弱点，又有极大可塑性和难以控制性。核电站运营实践表明，人在恐惧、紧张、压抑、愤怒、焦虑、嫉妒等情绪下，产生人因事件的概率可呈几何倍数增加。尽管目前核电站具有高度的自动化程度，但人作为核电站人一机系统的重要组成部分，     

基于人的行为事故模型对当前煤矿安全生产的分析

煤矿企业的事故发生受到许多因素的影响,其中人的不安全行为是一个重要的影响因素.通过对人的行为的影响因素的分析,提出一个基于人的行为的事故模型,并运用该模型对当前煤矿事故的发生原因进行了分析,提出了相应的措施.     

人误因素树构建技术研究

运用人误因素辨识多视图法进行因素辨识,建立了详细的因素辨识表;把人的行为分为5个阶段,即系统状态监测阶段,目标分析阶段,方案确定阶段和行为执行阶段.分别分析各个阶段可能的人误原因及模式;以组织视图为例,根据因素辨识和人误原因及模式分析结果,阐述人误因素树的构建过程,最终得到了1个完整的人误因素树.     

复杂工业系统中人因失误根本原因分析

在现代大规模复杂人 -机 -环境系统中 ,人因失误诱发的故障或事件呈上升趋势。人因事件的根本原因分析 ,对于防范复杂系统中事故的发生是非常必要的。人因事件根本原因的分析包括 :需要分析的人因事件的确定 ;对事实进行调查 ,分析调查结果 ;确定根本原因 ;制定纠正措施 ;完成最终报告。人因事件的分析最终需要找出失效屏障并提出修补的方法 ,笔者采用事件与原因因子分析技术来进行分析。在分析过程中 ,需要绘出事件和原因因子图 (E&CF图 ) ,而E&CF图可以显示出从开始到结束全过程中事件发生的正确次序 ,通常包括失效屏障 ,预先存在的条件、次级事件、不恰当的动作和形成事件的原因因子。形成人因事件的原因因子在复杂工业系统中 ,可以分成 12个部分。笔者给出了核电厂蒸汽发生器 (SG)主给水阀门泄漏的人因事件的分析实例 ,确认了该实例中失效的屏障和事件的根本原因并提出了纠正措施。     

基于行为识别技术的公共安全突发事件预警研究

通过分析当前行为识别技术的技术特点,指出了现有的行为识别技术在突发公共安全事件预警中的不足。针对突发公共安全事件预警的主要需求,基于现有成熟的行为识别技术,设计并提出了服务于突发人群聚集等多种异常目标行为分析的智能化识别与预警解决方案框架。该技术框架有助于提升警用视频监控智能化应用的有效度和精准度。     

The impact of job security,satisfaction and stress on performance assessment and optimization of generation companies

In this study, performances of Iranian thermal power plants have been assessed with respect to human factors such as job stress, satisfaction and security through data envelopment analysis (DEA). In the first step performance of power plants (DMUs) have been evaluated considering traditional production factors including installed capacity, internal consumption and fuel consumption as inputs and gross production as output (model 1). In the next step, model 1 is expanded to include three above mentioned human factors (model 2). Power plants have been ranked based on their relative efficiency scores in both models. Pearson and Spearman correlation coefficients between relative efficiency scores and rankings of power plants in two models have been calculated. The results show that efficiency scores and rankings of power plants in two models are quite different indicating that mentioned human factors have direct impact on overall performance of generation companies and that if we were to use just traditional factors it would not reflect the optimum efficiency of the DMUs. Finally, job security has been found as the most effective human factor in Iranian power plants. This is the first study that presents an integrated approach for assessment of electric power plants considering job stress, security and satisfaction. And it is shown that these human factors play important role in overall performance of generation companies.     

事故前人因失误研究

在安全评价中，人因失误特别是事故后人因失误越来越受到重视；但相对而言，事故前人因失误没有引起足够的重视。本通过对大量核电厂安全分析报告和运行事件报告的考察，系统地阐述了事故前人因失误对系统安全的显影响，并在此基础上，归纳出在核电站开展事故前人因(失误)分析的程序。该程序主要包括系统熟悉，定性分析，筛选，定量计算，与故障树的集成，敏感性分析与不确定性分析，形成分析档等几个步骤。     

The research on extracting the information of human errors in the main control room of nuclear power plants by using Performance Evaluation Matrix

Digitalized nuclear instruments and control systems have been the main stream design for the main control room (MCR) of advanced nuclear power plants (NPPs) nowadays. Digitalization of human–system interface (HSI) could improve human performance and, on the other hand, could reduce operators’ situation awareness as well. It might cause that humans make wrong decision during an emergency unintentionally. Besides, digital HSI relies on computers to integrate system information automatically instead of human operation. It has changed the operator’s role from mainly relating operational activity to mainly relating monitoring. However, if the operators omit or misjudge the information on the video display units and wide display panel, the error of omission and error of commission may occur. This study applies Content Category Analysis (CCA) and Performance Evaluation Matrix (PEM) methods to explore the potential problems in the MCR of advanced NPPs which are caused by human errors. The results show that the potential problems that would probably contribute to the human performance of MCR in the advanced NPPs are multiple accidents, pressure level, number of operators, and other factors such as working environmental. The conclusions of this research may be considered to avoid and prevent human errors in the human factor related researches especially in the nuclear safety field.     

人为失误及其辨识技术的研究

随着机器设备的可靠性不断提高，人的可靠性分析研究日益得到重视。大部分事故是由于人为失误造成的。分析了人为失误与事故发生的关系，讨论了管理失误对系统安全的影响；讨论了人为失误辨识的作用，对人为失误率预测技术、通过失误建模系统、人为失误率评价和优化系统等几种的人为失误辨识技术进行了评述。指出了人为失误及其辨识技术的发展趋势和方向。     

Automation design in advanced control rooms of the modernized nuclear power plants

This study evaluated the effects of levels of automation (LOAs) decisions in advanced control rooms of the modernized nuclear power plants. Following advancements in design of digitalized human–system interfaces (HSIs), the roles of human operators have changed significantly. Negative performance and safety consequences may occur as a result of these changes. These problems are viewed as the out-of-the-loop (OOTL) performance problems. This study conducted an experiment to compare the effects of different LOAs under different operating procedures on operating performance. Experimental results indicated that blended decision-making (level 6 LOA) generates the lowest mental workload. Furthermore, the pattern of SA observed in this study is found better SA at intermediate LOA and poorer SA at low level of automation and full automation. Subjective rating results suggest that LOAs distribute the roles of option generation, and selection between human and/or computer servers which significantly impacts automated system performance. This study provides a direction for the HSI designers in nuclear power plants (NPPs). Additionally, based on results obtained by this study, the user interfaces of PCTRAN system and the alarm reset system should be improved to ensure safe operation of NPPs.     

基于人因失误分析的医院电气安全管理研究

医院是重点用电单位,用电的安全性和供电可靠性都比较高,但因不可抗力、供电系统故障、医院管理问题、人为失误等方面的原因,仍存在发生各类电气突发事件的风险。其中,由人的误操作或不安全行为因素而诱发的电气方面的突发事件已成为医院非医疗事故的主要原因。文章针对医院电气安全操作方面的人因失误,从个人和组织两个角度进行了失误原因的分析,认为人的失误既受个体因素的影响,也受环境、制度和管理水平的影响。在此基础上,提出完善相关规章制度建设、加强教育与培训等,从组织制度建设、人员技术素质提高等方面,提出预防与减少人因失误的措施与方法,提高供配电质量,为医院医疗工作提供有效的电气安全后勤保障。     

垃圾填埋二次污染的危害与防治

介绍了垃圾卫生填埋中二次污染的危害,指出垃圾卫生填埋场建设和填埋操作中为防止填埋释放物对周围环境的二次污染所应采取的防渗、收集、处理和利用等措施,探讨了在垃圾卫生填埋场建设和填埋操作中应注意的问题及应着重考虑的方面.     

民航人因失误分类框架

人因失误分类是否系统、完整及对人误描述是否一致直接影响人误分析的结果。本文对民航中主要几种人误分析方法进行了详细评述，指出其在考虑人的认知过程和行为外在表现形式方面的不足。在对现有人误理论模型和人误分类方法详细分析的基础上，提出了民航人误分类框架。框架由人的行为过程的四个阶段“获取信息-分析处理信息-决策／计划-执行”和八类人误模式及相应的子模式构成。行为阶段与人误模式可针对具体活动进行组合，框架的使用具有灵活性。框架对保证民航中人误辨识结果的规范性和准确性具有重要意义。     

On the operator action analysis to reduce operational risk in research reactors

Human errors during operation and the resulting increase in operational risk are major concerns for nuclear reactors, just as they are for all industries. Additionally, human reliability analysis together with probabilistic risk analysis is a key element in reducing operational risk. The purpose of this paper is to analyze human reliability using appropriate methods for the probabilistic representation and calculation of human error to be used alongside probabilistic risk analysis in order to reduce the operational risk of the reactor operation. We present a technique for human error rate prediction and standardized plant analysis risk. Human reliability methods have been utilized to quantify different categories of human errors, which have been applied extensively to nuclear power plants. The Tehran research reactor is selected here as a case study, and after consultation with reactor operators and engineers human errors have been identified and adequate performance shaping factors assigned in order to calculate accurate probabilities of human failure.     

火电机组氢冷系统安全评价

国外已经对火电厂的安全评价工作进行了一定的研究,但是国内对此项工作的研究还是比较匮乏,尤其对火电厂危险化学品更缺乏相关的安全评价方法及研究。在火力发电厂实际生产中,需使用到大量易燃、易爆危险化学品,由于使用、存储不当,极易造成重大事故。根据某火电厂实际情况,结合安全评价的基本程序,运用道(DOW)化学火灾、爆炸危险指数评价法对火电机组氢冷系统(GRH)单元进行了评价。结果显示,GRH单元的本质危险性很大,经过安全措施补偿后危险性较轻,说明利用道氏法对火电厂危险化学品使用状况进行评价,能够比较准确地反映被评价单位的实际情况,根据评价结果和存在的问题提出有针对性的对策措施,进一步改善火电机组运行环境的安全。评价结果可为火电厂提高安全管理水平提供有价值的参考。