Research on Pilot Fatigue Model Based on Dynamic Workload

In this paper, a human fatigue evaluation model was constructed based on dynamic load. Firstly, objective physiological parameters such as eye movement data, heart rate, EEG data, EMG data, blood pressure and respiratory rate of pilots were collected, and the main factors influencing fatigue evaluation were identified as follows: eye movement data, heart rate and heart rate variability, EEG data and EMG data. A real-time model was established to determine the fatigue state of the pilot, and the fatigue state was categorized according to the workload: adaptive flight (zone D), light flight fatigue (zone A), moderate flight fatigue (zone B), and severe flight fatigue (zone C). On this basis, considering the establishment of a dynamic load on the fatigue evaluation model, load entropy and load variation rate were proposed. Load entropy represents the degree of confusion in load fluctuation and change, that is, the uncertainty of load change, and the load variation rate is a statistic for measuring the variation degree of each load level in dynamic load over a period of time. Based on these two indicators, fatigue changes can be described as: passive fatigue, overreaction, and abnormal work rhythm. The accurate evaluation of pilot fatigue is conducive to timely monitoring of behavior status, identifying potential health problems, taking appropriate intervention measures promptly, and enhancing flight safety.