The invention provides a man-
machine cooperation
assembly unit task intelligent scheduling method considering fatigue
recovery, and belongs to the technical field of intelligent manufacturing and man-
machine cooperation. The method is characterized in that a multi-objective optimization model fusing
completion time, load and dynamic fatigue is established, a dynamic fatigue
recovery mechanism based on a learning-forgetting-fatigue-
recovery model is integrated, a scheduling problem is constructed into a Markov
decision process, and corresponding states, action spaces and reward functions are designed. Through training a Dueling Double DQN
intelligent agent played back by fusing priority experience, tasks are dynamically allocated according to the real-time task progress and the fatigue state of workers, the
rest time period of the workers is intelligently inserted, and the
robot continues to work. The intelligent scheduling method can sense the worker state in real time and dynamically adjust the scheduling strategy, has high convergence and robustness, is suitable for intelligent man-
machine cooperation production lines in the fields of automobile
assembly, electronic manufacturing,
aerospace and the like, and supports people-oriented intelligent manufacturing.