Digital twin-based scheduling method for marine equipment material transportation vehicles

The traditional material transportation vehicle scheduling adopts manual scheduling application and vehicle scheduling, which has low efficiency, high cost and waste of human resources. The existing scheduling system can not realize the information interaction and collaborative integration between the physical world and the virtual world, and the digital twin technology can effectively solve the problem of information interaction. This paper establishes a model of the transportation vehicle scheduling problem, proposes a transportation vehicle scheduling framework based on digital twin model, and uses Q-learning method to solve the dynamic scheduling problem. Finally, an example is given to verify the superiority and effectiveness of this method.