Fatigue risk management based pilot sleep monitoring validation experiment

Abstract

Fatigue Risk Management (FRMS) for flight crew is a new data-driven approach to fatigue risk management that has been promoted by international civil aviation in recent years, and the collection of crew sleep data is an important task. The use of reliable wearable devices for sleep monitoring is a more objective and convenient recommended practice than manual recording, so it is necessary to conduct validation experiments on such devices in practical application scenarios. To verify the effectiveness of a HUAWEI smartwatch with a sleep monitoring module applied to FRMS-targeted pilot sleep monitoring, a comparative validation experiment was conducted in this thesis among 18 pilots on four ultra-longrange routes. Subjects wore both a certain HUAWEI smartwatch and an ACTIGRAPH somatic tachograph and recorded subjective sleep diaries. The comparative analysis of the 94 sets of sleep data collected showed that there was good agreement between HUAWEI and subjective sleep log results, and the deviation of HUAWEI and ACTIGRAPH did not meaningfully affect the fatigue prediction results of the bio-mathematical model in FRMS. In addition, the in-flight sleep data comparison results demonstrated that the sleep monitoring accuracy of HUAWEI and ACTIGRAPH in the cabin environment was comparable to that in the ground environment.