作者：
Pengcheng Li;Xiao Jin;Yanxing Wang;Jianhua Chen;Licao Dai
期刊：
Advances in Intelligent Systems and Computing,2020年 956: 214-224 ISSN：2194-5357
通讯作者：
Dai, L.
作者机构：
Human Factor InstituteUniversity of South ChinaHengyangPeople’s Republic of China;School of Nuclear Science and TechnologyUniversity of South ChinaHengyangPeople’s Republic of China;[Dai L.; Wang Y.; Jin X.; Li P.; Chen J.] Human Factor Institute, University of South China, Hengyang, Hunan 421001, China, School of Nuclear Science and Technology, University of South China, Hengyang, Hunan 421001, China
通讯机构：
[Dai, L.] H;Human Factor Institute, China
会议名称：
AHFE International Conference on Human Error, Reliability, Resilience, and Performance, 2019
会议时间：
24 July 2019 through 28 July 2019
会议论文集名称：
Advances in Human Error, Reliability, Resilience, and Performance
关键词：
Nuclear power plant;Shared situation awareness;Simulator experiment;Situation awareness
作者机构：
[李鹏程; 金肖; 张力; 陆文捷; 王炎鑫; 戴立操] Human Factor Institute, University of South China, Hengyang;421001, China;School of Nuclear Science and Technology, University of South China, Hengyang;Institute of Human Factors Engineering & Safety Management, Hunan Institute of Technology, Hengyang;421002, China
期刊：
Advances in Intelligent Systems and Computing,2020年956:199-213 ISSN：2194-5357
通讯作者：
Dai, L.
作者机构：
[Zuo G.; Chen J.; Dai L.] Human Factor Institute, University of South China, Hengyang, Hunan, China
通讯机构：
[Dai, L.] H;Human Factor Institute, China
会议论文集名称：
Advances in Human Error, Reliability, Resilience, and Performance
关键词：
Nuclear Power Plant (NPP);Situation Awareness (SA);Team
摘要：
Endsley (1995) systematically put forward the theory of Situation Awareness (SA). The theory emphasizes people’s perception and understanding of current operating environment information, and prediction of future state under certain time and space conditions. Endsley and Jones (2012) further proposed a SA-Oriented Design system. With the deepening of SA research, it has become the frontier of engineering psychology research. At present, Nuclear Power Plants (NPP) are highly computerized, the complexity of its main control room has increased, man-machine interaction is frequent, tasks are complex and changeable, time pressure is high, and cognitive load is heavy, so the workload of operators is greatly increased. In this complex technical system, the accuracy of Team Situation Awareness (TSA) of NPP is an important factor for high quality decision-making and efficient operation. If the problem of real-time and accurate SA measurement can be solved, it will be helpful to the design of Real-Time Adaptive man-machine interaction. Firstly, this paper analyses the elements and types of Team Situation Awareness of nuclear power plant, and develops a team SA measurement scale. Then, in different accident scenarios, the level of team SA of different types was measured by the simulation experiment, and the influencing factors were analyzed. These provide theoretical and experimental support for improving TSA of NPP.
作者机构：
[Li, Pengcheng; Zhang, Li; Li, Xiaofang; Dai, Licao] Univ South China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.;[Li, Pengcheng] Univ N Carolina, Syst Engn & Engn Management, Charlotte, NC 28223 USA.;[Li, Pengcheng] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Hunan, Peoples R China.
通讯机构：
[Dai, Licao] U;Univ South China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.
关键词：
Model validation;Simulation experiment;SA reliability;Fuzzy logic-AHP;Digital nuclear power plants
摘要：
Situation awareness (SA) reliability of operators is an important component of human reliability analysis (HRA) in digital nuclear power plants (NPPs). Therefore, how to identify effectively and reliably the risk of SA errors is of great significance for SA error prevention and risk reduction. SA reliability assessment model or method based on fuzzy logic and analytic hierarchy process (AHP) is forwarded in the first paper. In order to prove its effectiveness and reliability, sensitivity analysis and simulator experiments are applied to testify our model in this paper. The results show that the proposed assessment model of SA reliability has a certain degree of sensitivity as well as an accuracy of prediction, and there are a strong correlation and consistency between the predicted value from fuzzy inference system and the real value (or observed value) from simulator experiments. Although there are some differences between the predicted value and the real value based on the perspective of HRA, the model can be used to predict SA error probability or SA reliability within the range of 10 error factors as well as provide data and theoretical support for SA reliability assessment.
作者机构：
[Li, Pengcheng; Zhang, Li; Li, Xiaofang; Dai, Licao] Univ South China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.;[Li, Pengcheng] Univ N Carolina, Syst Engn & Engn Management, Charlotte, NC 28223 USA.;[Li, Pengcheng] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Hunan, Peoples R China.;[Zou, Yanhua] Hunan Inst Technol, Inst Human Factor & Safety Management, Hengyang 421002, Hunan, Peoples R China.
通讯机构：
[Li, Pengcheng] U;Univ South China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.
关键词：
Situation awareness reliability;Fuzzy logic;Analytic hierarchy process;Digital nuclear power plants
摘要：
In digital control rooms, situation awareness (SA) reliability has become an important element affecting operator's reliability. In order to establish a more reasonable assessment method of SA reliability under the condition of very lack of data, based on the established influential factor model of SA reliability considering the causality relationship of performance shaping factors (PSFs) in this paper, a fuzzy logic and analytic hierarchy process (AHP)-based method is established to more objectively assess SA reliability. The weight of PSFs is identified using AHP, and a fuzzy logic method is used to simulate the fuzzy assessment and reasoning process of operator's SA reliability, and a standardized method is built to determine the fuzzy rule base of fuzzy reasoning system for SA reliability assessment for reducing the subjectivity and uncertainty of expert judgment. Finally, an example is provided to illustrate the specific application of the proposed method. The results show that the established method takes account of the weight of PSFs and their causal influencing relationship, and the fuzzy logic method used to assess SA reliability can overcome the subjectivity and uncertainty of expert judgment, which makes the assessment results more objective and realistic. Furthermore, the method can be used to get more SA error data and have a wide range of application value.
摘要：
Is EOM behavior a stochastic process? If it is, does this randomness come with certain conditions? Are there some environmental factors playing a role? Does the failure of EOMs can be expressed by a probability number? How should HRA consider EOM in a framework of PSA? Through the experiments on a DCS simulator of a nuclear power plant, the researchers tried to come up answers to the above issues. The research results show that the EOM behavior of nuclear power plant is random no considering the influence factors, while in the case of data groupings, EOM behavior is not completely random. Some factors, such as age, training time and working hours, have a certain influence on the randomness of EOM behavior, which also provides direction for reducing human error. Of course, due to the limitations of the experimental conditions, the correctness of the conclusion remains to be further verified.
期刊：
Advances in Intelligent Systems and Computing,2019年778:68-76 ISSN：2194-5357
通讯作者：
Li, Pengcheng
作者机构：
[Jin, Xiao; Li, Pengcheng; Zhang, Li; Li, Xiaofang; Dai, Licao] Univ South China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.;[Li, Pengcheng] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Hunan, Peoples R China.
通讯机构：
[Li, Pengcheng] U;Univ South China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.;Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Hunan, Peoples R China.
会议名称：
AHFE 2018 International Conference on Human Error, Reliability, Resilience, and Performance, 2018
会议时间：
21 July 2018 through 25 July 2018
会议地点：
Orlando, FL
会议主办单位：
[Li, Pengcheng;Li, Xiaofang;Dai, Licao;Zhang, Li;Jin, Xiao] Univ South China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.^[Li, Pengcheng] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Hunan, Peoples R China.
会议论文集名称：
Advances in Human Error, Reliability, Resilience, and Performance
关键词：
Digital nuclear power plants;Human factor event report;Performance Influencing Factors;Team situation awareness
摘要：
In the digital main control rooms (MCRs) of nuclear power plants (NPPs), the role and responsibility of operators as well as their communication ways are changed by the digitization of the human-machine interface, which leads to some new team situation awareness (TSA) errors and different error distribution. In order to identify the interaction mechanism among a team during collecting information and consistently understanding the system/component status, an team interaction model is established by field observation, video analysis, operator interview and event report analysis. Furthermore, the model-based TSA error classification is developed and the influencing factors of TSA error are identified. On this basis, a number of human factor event reports are analyzed and combining with statistical analysis to identify the main TSA errors and influencing factors in digital NPPs. It provides theoretical support for the prevention and control of TSA errors.
作者机构：
[李鹏程; 李晓芳; 戴立操; 张力; 青涛; 蒋建军] Human Factor Institute, University of South China, Hengyang;Hunan;421001, China;Institute of Human Factor and Safety Management, Hunan Institute of Technology, Hengyang;421002, China
通讯机构：
Human Factor Institute, University of South China, Hengyang, Hunan, China
期刊：
Advances in Intelligent Systems and Computing,2018年589:310-322 ISSN：2194-5357
通讯作者：
Li, Pengcheng
作者机构：
[Li, Pengcheng; Zhang, Li; Li, Xiaofang; Dai, Licao; Jiang, Yu] Univ South China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.;[Li, Pengcheng] Univ North Carolina Charlotte, Syst Engn & Engn Management, Charlotte, NC 28223 USA.
通讯机构：
[Li, Pengcheng] U;Univ South China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.;Univ North Carolina Charlotte, Syst Engn & Engn Management, Charlotte, NC 28223 USA.
会议名称：
AHFE 2017 International Conference on Human Error, Reliability, Resilience, and Performance, 2017
会议时间：
17 July 2017 through 21 July 2017
会议地点：
Los Angeles, CA
会议主办单位：
[Li, Pengcheng;Dai, Licao;Zhang, Li;Jiang, Yu;Li, Xiaofang] Univ South China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.^[Li, Pengcheng] Univ North Carolina Charlotte, Syst Engn & Engn Management, Charlotte, NC 28223 USA.
会议论文集名称：
Advances in Human Error, Reliability, Resilience, and Performance
关键词：
Macro-cognitive process;Nuclear power plants;Psychological error mechanism;Team situation awareness
摘要：
In order to identified macro-cognitive processes and psychological error mechanisms (PEMs) of TSA in digital NPPs. Firstly, the components of TSA are identified according to team task analysis, which including individual situation awareness (ISA), shared situation awareness (SSA) and mutual awareness (MA). Furthermore, the macro-cognitive processes of TSA are identified respectively from ISA, SSA and MA on the basis of simulation experiments, and the process model of TSA is established to illustrate the forming mechanism of TSA. Finally, the PEMs of TSA errors are identified, it is very useful to prevent and reduce TSA errors.
作者机构：
[张力; 蒋建军; 王以群; 戴立操; 谢天] Human Factors Institute, School of Management, University of South China, Hengyang, Hunan, 421001, China;[彭玉元] School of Economic and Management, Guangzhou College of South China University of Technology, Guangzhou, 510830, China;[李敏] College of computer science and technique, University of South China, Hengyang, Hunan, 421001, China;[蒋建军; 张力] School of Safety and Environment Engineering, Hunan Institute of Technology, Hengyang, Hunan, 421002, China
作者机构：
[李鹏程; 张力; 戴立操; 蒋建军] Human Factor Institute, University of South China, Hengyang;421001, China;Institute of Human Factor and Safety Management, Hunan Institute of Technology, Hengyang;421002, China;[李鹏程; 戴立操; 蒋建军] 421001, China
