Research On Logistics Distribution Technology Based On Multi-UAV Scheduling

In recent years,the scale of the logistics distribution and the complexity of the environment and resources are increasing.At the same time,the operation and management of the logistics has become more and more complicated.Therefore,It is imperative to make logistics distribution digitalized,intelligent and standardized by means of technology.As the Unmanned aerial vehicle(UAV)which combines control technology,communication technology and aviation technology,it has the advantages of unmanned driving,high mobility and low cost.Logistics distribution is the inevitable trend of driving productivity.In addition to the government's management of UAVs has not yet been improved,UAV technology has to be continuously improved.Task assignment technology,one of the UAV technologies,has a huge impact on the efficiency of multi-UAV logistics distribution.For this reason,it is mainly for the issue of logistics distribution.Based on the solution of multi-traveler problem,research and simulation experiments were carried out on multi-UAV task assignment.The mathematical model of complex logistics distribution system is established from different angles.The UAV delivering system was analyzed in the large-scale multi-logistics circle,and the task requirements of pick-up and delivery based on the model of "rider,distribution center and client" are analyzed.The constraint conditions of logistics distribution task are also expounded.Logistics distribution of UAVs under the multi-logistics circle as the research object,the task assignment model is established,and the objective function based on the principle of minimum voyage cost and balance of remaining resources is designed.The improved particle swarm optimization(PSO)algorithm based on the strategy of local optimization and global optimization balance is used to improve the convergence speed of the algorithm and obtain the logistics assignment results under the multi-base condition.Taking the pick-up process as the research object,a task assignment model based on multi-traveler problem is established.The two-part individual technology aiming at reducing the complexity of solution space and the reverse mutation operator aiming at improving the diversity of solutions are improved for the wolf pack search algorithm.And the wolf pack search algorithm optimizes the objective function value of the pick-up process.At the same time,considering the influence of parameter uncertainty caused by communication problems,etc.,the optimal task allocation scheme is obtained by using the robust optimization method.Delivery as the research object,the task assignment model based on the single travelingsalesman problem is established and solved by Ant Colony algorithm(ACO),and a high robust task assignment result is obtained.In this article,different strategies are adopted for different modules,and the solution of UAV logistics distribution is optimized as a whole,and the distribution efficiency of UAV logistics is improved under the premise of rational utilization of resources.