The purpose of this research is to study the applicability of classical biomathematical models in the operating environment of Chinese airlines. First of all, in the operating environment of Chinese airlines, we used Continuous Performance Test (CPT), Karolinska Sleepiness Scale (KSS) and Samn-Perelli Fatigue Scale (SP) to observe pilots" alertness performance and self-assessed subjective fatigue during flight. Second, the corresponding pilot fatigue was simulated and quantified using the Crew Fatigue Assessment System (SAFE). Finally, the difference between the crew alertness value predicted by the SAFE model and the subjective self-assessment and objective performance of fatigue was compared, and the analysis of variance was used to explore the difference of the influence factors of fatigue on the model prediction and subjective and objective fatigue. The results show that the SAFE model predicts crew fatigue and subjective fatigue has a strong correlation. Overall, the model"s prediction of crew fatigue reflects the change trend of factors related to duty hours and circadian rhythm, but the predicted value is high after 18 hours of continuous duty. With the increase in the amount of validation data of the model and the adjustment of relevant parameters of the model to adapt to China"s flight operating environment, the model can be used as an objective tool for the predictive hazard identification of China"s airline fatigue risk management system (FRMS). The theoretical research and engineering application of the localized biomathematical model in our country can provide reference.