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Puerto Rico was hit by a hurricane in 2017. In this paper, we will design a disaster response system for help, inc., which makes full use of the various devices and containers mentioned in this paper, and can meet the anticipated medical needs in the event of future disasters. According to the number of medical packages received during the duration of the hurricane on the island, the number of cargo holds that received medical packages was calculated. Through the analysis of given information, the carrying capacity, photographic capability and loading capacity of UAV can be obtained. The different attributes of UAV are given different weights by analytic hierarchy process, and the performance of different UAV is obtained. The packing model is used to calculate the optimal components in the cargo hold. Then, an optimization model is established to calculate and minimize the number of UAVs. Then choose the place where ISO cargo containers will be placed. According to the location of the port and the point of demand, two containers were allocated to distribute medical kits for the Pavia Arecibo Hospital and Caribbean Medical Center. The location of three containers is selected by constructing Tyson polygon. Unmanned aerial vehicles in ISO containers will complete photographic missions in the corresponding areas. Finally, the expression of flight path is obtained by depth-first traversal of binary tree, and the flight schedule is obtained according to the length of road and the flight speed of UAV. |
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Keywords:analytic hierarchy; optimization model; Tyson polygon; box-packing model |
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