Abstract:

In order to solve the problem of alertness prediction of civil aviation flight dispatcher, a TPMA was constructed based on the universal alertness theory, and the data were analyzed by electronic bracelet monitoring and PVT data analysis. Firstly, 120 subjects were selected from the dispatchers of major domestic airlines. Temperature data were collected regularly under 40 hours of sleep deprivation, and the subjects was tested with PVT. Then, cosine analysis was used to determine the phase. Key parameters such as upper and lower asymptotes and sleep transition point were determined. Then, sleep inertia process was corrected by early wake-up test. Finally, 120 subjects were tested to verify the model, and 3 other groups of subjects with different schedules were selected for independent verification. The results show that cosine function of two harmonics can fit the temperature data well. The phase is 16.88, the parameter is -55 ms/℃, the upper and lower asymptotes are 750 and 200 ms respectively, and the sleep transition point is 437 ms. The goodness of fit between TPMA and regular work test data is greater than 0.90, and the goodness of fit between the model and actual work test data is greater than 0.81. It is proved that the flight dispatcher TPMA has high stability and applicability.

Key words: flight dispatcher, alertness, three process model of alertness (TPMA), simple response time, psychomotor vigilance test (PVT)