Abstract:

To accurately predict the standard man-hours of aircraft maintenance tasks, a predictive method based on safe energy consumption for aircraft maintenance standard man-hours was proposed. Firstly, a drivable virtual human was constructed based on the skeletal parameters of the human body and the computational rules of Euler quaternions. Subsequently, motion data during maintenance processes were captured using motion capture devices. The Roberson-Wittenburg and inverse dynamics methods were then employed to calculate the joint torques borne by the virtual human during the maintenance tasks, thereby estimating the energy consumption during the maintenance process. Based on the fatigue assessment of human energy consumption, preliminary standard maintenance man-hours conforming to safety energy consumption were calculated. The study demonstrates that prediction results based on safe energy consumption are closer to the manufacturer's recommended times, with a smaller root mean square error than modular arrangement of predetermined time standards(MOD) method, indicating that this approach better reflects the actual maintenance man-hours.

Key words: safe energy consumption, maintenance hours, forecast of working hours, standard man-hours, fatigue, virtual human