计算机工程与应用2024，Vol.60Issue(20)：84-95,12.DOI:10.3778/j.issn.1002-8331.2403-0135
航空人员疲劳检测方法研究
Research on Fatigue Detection Methods for Aviation Personnel
摘要
Abstract
The fatigue problem for aviation personnel has attracted attention in civil aviation,in order to reduce the risk of civil aviation operation caused by fatigue problems,the development status of aviation personnel fatigue research under the field of civil aviation is analyzed,and the current fatigue research results are sorted out and future development of fatigue detection in civil aviation is put forward.Firstly,the concept of fatigue of aviation personnel and its influencing factors are clarified.Then,the fatigue studies of pilots,air traffic controllers and aircraft maintenance personnel are compared and analyzed from the dimensions of physiological indicators and subjective measurement methods,and the fatigue detection models of pilots and air traffic controllers are sorted out and summarized by combining the computerized detection methods.Finally,the shortcomings and development direction of the current fatigue detection are put forward according to the research.The results show that the objective detection methods are gradually becoming mature,and physiological indica-tors are widely used in fatigue detection.The selection of indicators for fatigue detection models needs to be further studied,and the accuracy of model identification and fatigue classification needs to be improved,especially the fatigue detection model for maintenance personnel needs to be developed.In the future,passive fatigue caused by automated driving and human-machine function allocation problems in highly automated cockpit environment is the focus of research.关键词
航空人员/疲劳检测/生理指标/主观测评/判别模型Key words
aviation personnel/fatigue detection/physiological indicator/subjective evaluation/discriminant model分类
信息技术与安全科学引用本文复制引用
张荣,梁馨月..航空人员疲劳检测方法研究[J].计算机工程与应用,2024,60(20):84-95,12.基金项目
天津市自然科学基金(23JCQNJC00030) （23JCQNJC00030）
天津市教委科研计划项目(2022KJ082) （2022KJ082）
中央高校基本科研业务费自然科学重点项目(3122025102). （3122025102）
