面向飞行作业人员的实时疲劳监测模型研究

Research on real-time fatigue monitoring model for flight operators

针对空战任务中飞行员疲劳作业风险问题,研究实时飞行条件下辨识飞行人员疲劳状态模型。通过对疲劳状态表征生理和心理的参数研究,在地面构建诱发疲劳的等效试验任务场景,实时采集任务过程中的心电、血氧数据。使用支持向量机构建综合疲劳状态辨识模型,并结合多种真实飞行场景同步采集的飞行员心电、血氧数据对模型进行了有效性验证,为后续空中实时条件下监测飞行员的疲劳状态提供了技术支撑。

Aiming at the risk of pilot fatigue operation in air combat missions,the model for identifying the fatigue state of flight personnel under real-time flight conditions is studied.Through the research and analysis of the physiology and psychological parameters of fatigue state characterization,an equivalent test task scenario inducing fatigue was constructed on the ground,and electrocardiogram(ECG)and blood oxygen data were collected in real-time.The comprehensive fatigue state identification model was constructed by the support vector machine,and the effectiveness of the model was verified by combining the pilot's ECG and blood oxygen data collected simultaneously in various real flight scenarios.It provides technical support for monitoring the fatigue status of pilots under real-time air conditions.