中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (7): 1-6.doi: 10.16265/j.cnki.issn1003-3033.2018.07.001

• 安全人体学 •    下一篇

基于脑电的管制员认知行为与疲劳的关系研究

王莉莉 教授, 陈凤兰   

  1. 中国民航大学 天津市空管运行规划与安全技术重点实验室,天津 300300
  • 收稿日期:2018-04-06 修回日期:2018-06-09 出版日期:2018-07-28 发布日期:2020-11-25
  • 作者简介:王莉莉(1973—),女,陕西兴平人,博士,教授,主要从事空中交通人为因素、空域规划等方面研究。E-mail:llwang@cauc.edu.cn。
  • 基金资助:
    国家自然科学基金委员会与中国民用航空局联合资助(U1633124);中央高校基本科研业务费中国民航大学专项资助(3122016A002);民航局科技创新项目(20150231)。

Study on relationship between controllers' cognitive behavior and fatigue based on EEG

WANG Lili, CHEN Fenglan   

  1. Tianjin Key Lab of Operation Programming and Safety Technology of Air Traffic Management,Civil Aviation University of China,Tianjin 300300,China
  • Received:2018-04-06 Revised:2018-06-09 Online:2018-07-28 Published:2020-11-25

摘要: 为量化研究疲劳对空中交通管制员认知行为的影响,选取32名在职管制员在疲劳累计最大的时刻12:00和00:00进行试验,采集其完成大流量且有特情发生的雷达模拟机任务过程中的脑电(EEG)信号,提取管制员疲劳指标,并记录试验中管制员对特情的反应时长作为表征管制员认知行为的指标;运用SPSS20.0软件统计分析数据。结果表明:管制员在00:00的疲劳指标值显著高于12:00,在夜间疲劳状态下继续工作会使疲劳指标值陡然增大,存在很大的疲劳隐患;管制员对特情的反应时长与试验前其初态的疲劳指标值有线性关系;检测班前初态疲劳指标值,可作为疲劳风险管控的一个有效方法。

关键词: 民航安全, 管制员, 疲劳指标, 脑电(EEG)信号, 认知行为, 特情反应时长

Abstract: In order to quantify the effect of fatigue on controllers' cognitive behavior,32 on-the-job controllers were selected as testees to conduct experiments at 12:00 and 00:00 when the fatigue was cumulated to the maximum.EEG signals of the testees were recorded both before doing the experiments and during the time when they were doing radar simulator task involving large number of traffic and abnormal situations.A fatigue index was calculated based on EEG data .The reaction time of controllers to abnormal situations was used as an index of cognitive ability.The results show that the fatigue level at 00:00 is significantly higher than that at 12:00,and the fatigue index increases sharply after completing task at 00:00 with bigger fatigue risk.There is a linear relationship between the fatigue index before work and the reaction time to abnormal situations when working,and that the detection of fatigue before work can be used as a measure for managing controller fatigue risks.

Key words: civil aviation safety, controller, fatigue index, electroencephalogram (EEG) signal, cognitive behavior, reaction time to abnormal situations

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