A fatigue monitoring and early-warning system and method based on a digital helmet. The method comprises: collecting a brain-wave signal of a user by using an electroencephalograph collector (11) integrated on a digital helmet (1), and analyzing a mental fatigue coefficient of the user according to the rhythmic change of the brain-wave signal (S11); capturing an ocular image of the user by using a camera (12) integrated on the digital helmet (1), and analyzing a physiological fatigue coefficient of the user according to the ocular image (S12); calculating the fatigue degree of the user according to the mental fatigue coefficient and the physiological fatigue coefficient of the user (S13); generating alarm information comprising the fatigue degree of the user when the fatigue degree of the user exceeds a preset value of the user in the normal case, and sending the alarm information to a monitoring center platform (2) by using a communications network (3), to perform early-warning on the fatigue state of the user (S14, S15). The system and method are used for a digital battlefield, and can monitor the fatigue state of soldiers in real time during combat readiness or task execution of an army, and perform early-warning soldiers in mental fatigue or physiological fatigue.
FATIGUE MONITORING AND EARLY-WARNING SYSTEM AND METHOD BASED ON DIGITAL HELMET