疲劳状态下陆空通话语音特征变化研究

doi:10.16265/j.cnki.issn1003-3033.2020.02.025

中国安全科学学报 ›› 2020, Vol. 30 ›› Issue (2): 158-164.doi: 10.16265/j.cnki.issn1003-3033.2020.02.025

疲劳状态下陆空通话语音特征变化研究

孙禾¹ 实验师, 贾奇² 高级工程师, 刘畅³

1.中国民航大学空中交通管理学院,天津 300300;
2.民航华东空管局安全管理部,上海200335;
3.民航青岛空管站管制运行部,山东青岛 266100

收稿日期:2019-11-10 修回日期:2020-01-05 出版日期:2020-02-28 发布日期:2021-01-25
作者简介:孙禾(1988—),男,天津人,硕士,实验师,主要从事空管运行安全方面的研究。E-mail:sunharvest@126.com。
基金资助:
国家重点研发计划项目(2016YFB0502401);民航华东空管局科技项目(KJ1804);中国民航大学实验技术创新基金资助(2019CXJJ11);中央高校基本科研业务费项目(3122017060)。

Study on voice feature change of radiotelephony communication under fatigue state

SUN He¹, JIA Qi², LIU Chang³

1. College of Air Traffic Management,Civil Aviation University of China, Tianjin 300300, China;
2. Safety Management Department, East China Air Traffic Management Bureau, Civil Aviation Administration of China, Shanghai 200335, China;
3. Air Traffic Control Operation Department, Qingdao Air Traffic Control Station, CAAC, Qingdao Shandong 266100, China

Received:2019-11-10 Revised:2020-01-05 Online:2020-02-28 Published:2021-01-25

摘要/Abstract

摘要： 为预防空中交通管制不安全事件,利用陆空通话语音数据结合精神运动能力检测(PVT)方法,研究管制员的疲劳预警机制。首先,通过处理管制模拟机训练过程中陆空通话的音频文件,截取有效的管制指令信息,提取重新定义的语速、音调等特征;然后,采用PVT方法测试管制员在每次训练前后的反应能力,对比各个语音特征和PVT测试结果;最后,采用箱型图统计观察各时间段语音特征的变化趋势,并通过k-means++算法分析疲劳状态下绝对和相对语音特征区间,观察管制员工作中疲劳的变化过程,提出安全红线。研究表明:所提出的方法可以通过语音特征有效监控管制员的工作状态,为人员疲劳进行预警,从而实现管制不安全事件的预防,提高安全管理水平。

关键词: 空中交通管制, 陆空通话, 语音, 疲劳, 精神运动能力检测(PVT)

Abstract: In order to prevent air traffic control incidents, fatigue warning mechanism of controllers is studied by using voice data of radiotelephony communication and PVT method. Firstly, effective control instruction information was intercepted and redefined speed speed, tone and other features were extracted from audio files of radiotelephony communication during training process of control simulator. Then, controllers' response capability before and after each training was tested by using PVT method, and speech features and PVT test results were compared. Finally, change trend of speech features in each time period was observed with box chart statistics, absolute and relative speech feature intervals under fatigue state were analyzed by k-means ++ algorithm, and safety red line was proposed based on observation on change process of controllers' fatigue. The research shows that the proposed method can provide early fatigue warning and therefore prevent incidents and improve safety management by effectively monitoring controllers' work state through their voice features.

Key words: air traffic control, radiotelephony communication, voice, fatigue, psychomotor vigilance task (PVT)

中图分类号:

X910

孙禾, 贾奇, 刘畅. 疲劳状态下陆空通话语音特征变化研究[J]. 中国安全科学学报, 2020, 30(2): 158-164.

SUN He, JIA Qi, LIU Chang. Study on voice feature change of radiotelephony communication under fatigue state[J]. China Safety Science Journal, 2020, 30(2): 158-164.

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疲劳状态下陆空通话语音特征变化研究

Study on voice feature change of radiotelephony communication under fatigue state

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