摘要
空中交通流量的增加使得管制员工作负荷也在逐渐增大,鉴于管制员与飞行安全的紧密联系,对其疲劳状态的准确检测有着至关重要的作用。文章回顾了我国近年来在管制疲劳领域的研究现状,梳理了现阶段常用的疲劳状态检测方法。首先,对主观检测方法和客观检测方法进行了阐释和对比,分析得出基于语音的疲劳检测方法更适合用于对管制员工作疲劳的检测;其次,鉴于基于语音的检测方法对管制官疲劳检测的重要性,对管制员基于语音的疲劳检测方法进行了着重介绍,包括不同语音特征的提取方法以及在特征构造和选择方面的研究进展和关键问题,分析了不同识别方法在提升语音识别检测率方面的能力,得出对陆空通话语音的检测能较好地检测管制员疲劳状态,并对语音疲劳识别在航空领域的应用潜力和展望进行了简要介绍;最后展望了管制员疲劳检测方法。为后续对管制员的疲劳状态检测研究提供借鉴和参考。
The increase of air traffic flow makes the controller's workload also increase gradually,in view of the close connec-tion between controllers and flight safety,the accurate detection of their fatigue state has a crucial role.The article reviews the cur-rent research status in the field of control fatigue in China in recent years,and combs through the commonly used fatigue state detec-tion methods at this stage.Firstly,subjective and objective detection methods are explained and compared,and it is analysed that voice-based fatigue detection methods are more suitable for detecting the controller's fatigue at work.Secondly,in view of the impor-tance of the voice-based detection methods for the fatigue detection of the control officer,controller speech-based fatigue detection methods are highlighted,including different speech feature extraction methods as well as research progress and key issues in feature construction and selection,the ability of different recognition methods in improving the detection rate of speech recognition is anal-ysed,and it is concluded that the detection of land and air call speech can better detect the fatigue state of the controllers,and the potential and outlook of speech fatigue recognition in the aviation field are briefly introduced.Finally,the controller fatigue detec-tion method is outlooked.The method of controller fatigue detection is outlined to provide reference for the subsequent research on controller fatigue detection.
作者
杨昌其
张雨萱
YANG Changqi;ZHANG Yuxuan(Civil Aviation Flight University of China,Guanghan 618307)
出处
《舰船电子工程》
2025年第3期138-143,共6页
Ship Electronic Engineering
基金
四川省科技计划项目(编号:2023YFSY0025)资助。
关键词
航空运输管理
管制员疲劳
检测方法
语音分析
aviation transport management
controllers fatigue
detection methods
speech analysis
作者简介
杨昌其,男,教授,研究方向:交通运输安全;张雨萱,女,硕士研究生,研究方向:交通运输安全。
