Integrated Mobile Command Platform for UAV Operation, Inspection and Dispatching

Abstract

In order to effectively solve the problems of poor infrastructure in remote areas and high human distribution cost in developed areas, the design of integrated UAV network for urban and rural logistics and the scheduling method of UAV onboard platform are proposed.Considering the situation that self-run logistics stocks goods in advance according to the forecast of demand, in this essay, under the distribution situation of dispersed customer demand and frequent demand fluctuation over time, the uncertain demand of customers is described by polyhedron set, and the two-stage robust optimization model of plane-carrying platform scheduling is established, and the L-type algorithm is designed to solve the problem.The experimental results show that when, the target value obtained by the robust optimization method is close to that of the stochastic programming, and the scheduling path obtained by the two methods in the first stage is basically the same, except for the difference in the determination of the service relationship in the second stage.When the budget level was increased from 0.0 to 0.2, the number of on-board platforms used remained at 8, while the penalty cost and unmet requirements decreased.Conclusion: The efficiency of robust optimization is better than that of stochastic programming, and the decision economy is greatly improved by relaxing the model robustness appropriately.In the face of uncertain demand, the system will first adjust the scheduling path of the on-board platform, and then consider increasing the number of on-board platforms. The scheduling scheme shows a rule of gradual adjustment.