基于CFF的管制员疲劳评估方法

doi:10.16265/j.cnki.issn1003-3033.2022.04.028

中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (4): 192-197.doi: 10.16265/j.cnki.issn1003-3033.2022.04.028

基于CFF的管制员疲劳评估方法

孙瑞山¹(), 陈毅¹, 孙立斌²

¹ 中国民航大学安全科学与工程学院,天津 300300
² 北京飞机维修工程有限公司,北京 100621

收稿日期:2021-12-10 修回日期:2022-03-07 出版日期:2022-04-28 发布日期:2022-10-28
作者简介:
孙瑞山 (1958—),男,天津人,硕士,教授,从事民航安全管理、航空人因工程、飞行原理和飞机飞行性能等方面的研究。E-mail: sunrsh@hotmail.com。
基金资助:
中国民航大学研究生科技创新项目(2020YJB003)

Fatigue assessment method of controllers based on CFF

SUN Ruishan¹(), CHEN Yi¹, SUN Libin²

¹ College of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
² Aircraft Maintenance and Engineering Corporation, Beijing 100621, China

Received:2021-12-10 Revised:2022-03-07 Online:2022-04-28 Published:2022-10-28

摘要/Abstract

摘要：

为了监测管制员在执勤期间的疲劳风险,首先将管制员的闪光融合临界频率(CFF)作为评估管制员疲劳程度的指标,并结合卡罗林斯卡嗜睡量表(KSS)评分,建立人的疲劳程度与CFF值之间的关系方程;然后定义疲劳指数,用以反映管制员的疲劳状态,进而提出基于CFF的管制员疲劳评估方法;最后通过36 h睡眠剥夺状态下的模拟管制试验,采集5名被试CFF和模拟管制成绩,分析疲劳指数与模拟管制成绩的变化关系。结果表明:4名被试的疲劳指数呈周期性变化,一名被试的疲劳指数先下降然后一直上升,每名被试的疲劳指数与其模拟管制成绩呈负相关性;随着睡眠剥夺试验的进行,5名被试的疲劳指数均值呈上升趋势,模拟管制成绩均值呈下降趋势。

关键词: 闪光融合临界频率(CFF), 管制员疲劳, 管制模拟成绩, 睡眠剥夺, 卡罗林斯卡嗜睡量表(KSS)

Abstract:

In order to monitor fatigue risks of air traffic controllers during their duties, with their CFF as an index to evaluate fatigue degree, a relationship equation between fatigue degree and CFF was established based on KSS scale score. Then, fatigue indexes were defined to reflect fatigue state, and a fatigue evaluation method based on CFF value was established. Finally, through a 36-hour simulated control experiment under state of sleep deprivation, CFF and simulated control scores of five subjects were collected, and relationship between the indexes and simulated control scores was analyzed. The results show that the fatigue index of four subjects change periodically, while that of the other one decrease first and then increase all the time. And there is a negative correlation between fatigue index of each subject and their simulated control performance. With the progress of sleep deprivation experiment, the indexes of five subjects present an upward trend, while the simulated performance shows a downward trend.

Key words: critical flicker fusion frequency (CFF), fatigue of air traffic controllers, air traffic control simulation results, sleep deprivation, Karolinska sleepiness scale (KSS)

孙瑞山, 陈毅, 孙立斌. 基于CFF的管制员疲劳评估方法[J]. 中国安全科学学报, 2022, 32(4): 192-197.

SUN Ruishan, CHEN Yi, SUN Libin. Fatigue assessment method of controllers based on CFF[J]. China Safety Science Journal, 2022, 32(4): 192-197.

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试验次数	被试A		被试B		被试C
试验次数	KSS 评分	CFF/ Hz	KSS 评分	CFF/ Hz	KSS 评分	CFF/ Hz
1	2	36.25	1	31.75	3	31.75
	2	31.75	1	34.75	3	31.75
	3	34.75	1	34.75	3	31.25
	︙	︙	︙	︙	︙	︙
2	2	34.75	1	34.75	2	31.75
	2	36.25	4	31	3	31.75
	3	34.75	2	34.75	4	31.25
	︙	︙	︙	︙	︙	︙
3	2	36.25	1	34.75	2	31.75
	2	30.25	3	33	3	31.75
	2	34.75	5	31	3	31.25
	︙	︙	︙	︙	︙	︙

被试编号	时间	CFF/ Hz	疲劳指数F	疲劳程度	模拟管制测试得分
1	第一天18:00	36.25	0.67	非常警觉	81.67
	第一天20:00	37.5	-0.16	非常警觉	86.67
	︙	︙	︙	︙	︙
	第二天18:00	33	2.82	警觉	88.33
︙	︙	︙	︙	︙	︙
5	第一天18:00	31.75	3.65	一般	81.67
	第一天20:00	31.25	3.98	一般	86.67
	︙	︙	︙	︙	︙
	第二天18:00	31.25	3.98	一般	90

时间	疲劳指数均值	模拟管制测试得分均值
第一天18:00	2.23	85.00
第一天20:00	3.02	84.00
第一天22:00	2.19	82.00
第二天0:00	3.85	78.00
第二天2:00	3.43	81.00
第二天4:00	4.01	77.33
第二天6:00	3.35	84.67
第二天8:00	3.65	82.33
第二天10:00	3.55	84.33
第二天12:00	3.91	78.33
第二天14:00	3.88	78.00
第二天16:00	3.91	81.00
第二天18:00	4.58	82.00

基于CFF的管制员疲劳评估方法

Fatigue assessment method of controllers based on CFF

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