摘要
为探究不同流量等级下管制员特情反应时间与疲劳状态、岗龄之间的关系及相互影响,利用Mangold-10生理多导仪采集一线管制单位管制员管制过程中的脑电信号,附以管制教员评测分数、特情反应时等数据,通过Matlab编程计算脑电波形的平均功率谱,进而构建了疲劳指数,数量化地表征当前管制员的疲劳程度。通过SPSS 20. 0软件分析拟合出管制员疲劳指数与反应时、岗龄的关系模型。结果表明,管制员反应时与疲劳指数呈现高度线性关系。管制员岗龄与反应时呈现三次函数关系,12 a岗龄为临界值。研究结果可为管制单位调度繁忙扇区人员及合理排班提供参考。
To explore the relationship among the special reaction time,the fatigue state and the actual age of the controller under the different interchangeable levels,the present paper has collected the EEG (short for Electroencephalogram) signals in the process of the front-line control unit controller by using the Mangold-10 physiological multi-channel instrument. To achieve the purpose,we have calculated and worked out the average power spectrum of EEG through the periodic chart and the Matlab programmer with the data of the evaluation score and special reaction time of the control instructor. And,then,we have managed to build up a fatigue index to quantify the fatigue degree or the fatigue extent of the controller on duty. Through the above analysis,it has been found that the trend of the reaction at the 3 levels before the class on duty is especially high when the fatigue index is above or beyond 2. 5. The reaction degree under the 3 levels before the shift is concentrated between 15-50 s and between 30-60 s after the shift. The response at the 3 shift-flow levels after the shift is generally longer than that before the shift.Thus,it can be seen that the fatigue accumulation tends to be directly proportional with the controller’s special reaction in the same situation. And,2 days later,when they are off duty,they should be given a period of time to get a psychological adaptation before the duty hours,so that his or her stress and emotions can be regulated and adapted in advance. With the help of the statistical analysis software known as SPSS 20. 0,the fatigue index of the controller can be contrasted and compared with his or her age and response time,so as to make the corresponding relationship model well-fitted. The results of the above data analysis indicate that the controller’s response time is highly correlated with the fatigue index in a linear form. More specifically speaking,there can be found a 3-function relationship between the age of the controller and his or her reaction time,with the 12-years’ gap being critical. Thus,the results of the given study ought to be endowed with a certain reference value for the business sector duty-shift regulation units to dispatch their labor force rationally and reasonably.
作者
王莉莉
杨勇
WANG Li-li;YANG Yong(Tianjin Key Laboratory of Air Traffic Management Planning and Safety Technology,College of Air Traffic Management,Civil Aviation University of China,Tianjin 300300,China)
出处
《安全与环境学报》
CAS
CSCD
北大核心
2020年第3期999-1006,共8页
Journal of Safety and Environment
基金
国家自然科学基金委员会与中国民用航空局联合资助项目(U1633124)
中央高校基本科研业务费中国民航大学专项(3122016A002)。
