Abstract
Building a sound Professionalism Lifecycle Management System for pilot skills is very necessary and a general trend, among which the evaluation of pilot cadets' operation performance is an indispensable part. In this paper, the maneuvering skills of the cadets in the basic flight simulation training of aircraft are evaluated. The takeoff and landing routes reflect the most basic and important driving skills, eye, hand and foot coordination ability and attention distribution ability in flight. In the test, the cadets are designed to simulate the takeoff and landing routes. Based on the data of simulated flight parameters, the key characteristic indexes are extracted and the flight control points of take-off, climb, approach and landing are integrated for the various safety risk events easily caused in flight. Through programming, the intelligent automatic quantitative evaluation of the level of evaluation operation indicators achieved by each subject in the simulated flight is realized. A flight cadets' operational performance evaluation method based on simulated flight data is proposed to reflect the pilot cadets’ level of handling technology. In addition, based on the above evaluation results of simulated flight operations, specific and feasible improvement measures are provided according to the actual flight and training experience of captains of an airline company for different safety risk events that may be caused by deviation of each indicator, and a suggestion library for improvement measures is established to form a closed loop and improve the operation level of flight cadets.
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Acknowledgment
We appreciate the support this work received from the Fundamental Research Funds for the Central Universities (Grant No. 3122019065) and the Civil Aviation Administration of China Security Capacity Construction Fund Project (Grant No. KJZ49420210076).
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Wang, F., Tan, W., Yuan, J., Wang, W., Wang, W., Li, H. (2023). A Method for Evaluating Flight Cadets’ Operational Performance Based on Simulated Flight Data. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. HCII 2023. Lecture Notes in Computer Science(), vol 14017. Springer, Cham. https://doi.org/10.1007/978-3-031-35392-5_24
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DOI: https://doi.org/10.1007/978-3-031-35392-5_24
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