Logistics unmanned aerial vehicle material distribution energy consumption and communication collaborative optimization method

The invention discloses a logistics unmanned aerial vehicle material distribution energy consumption and communication collaborative optimization method. The method comprises the steps of collecting distribution task data of an unmanned aerial vehicle and communication deployment data in a flight environment; establishing an unmanned aerial vehicle distribution system model based on the distribution task data and the communication deployment data, and constructing an optimization target to optimize the total energy consumption and the total communication interruption time of the unmanned aerial vehicle for completing the distribution task; based on the unmanned aerial vehicle distribution system model, solving a global distribution sequence with the lowest energy consumption; taking the global distribution sequence as input, converting an unmanned aerial vehicle trajectory planning problem into a Markov decision process, and solving a local distribution trajectory in the unmanned aerial vehicle distribution process; on the basis of the local distribution track, a Bayesian optimization model and a deep reinforcement learning network are adopted to obtain an actual flight action of the unmanned aerial vehicle at the next moment and execute the actual flight action; and based on the real-time environment information, generating an optimal flight path satisfying energy consumption and communication collaboration, and completing a distribution task. According to the invention, an efficient and safe distribution system is realized.