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Drones play a very important role in disaster relief. This paper describes how to design a DroneGo disaster response system to quickly deliver drones and medical kits to the disaster area to support the hurricane disaster in Puerto Rico. First, the improved entropy method is used to find the proportion of various drones and determine the proportion of the three medical kits according to the selected location requirements, and TRUCKFILL is used to simulate the loading of drones and medical kits in the container. In addition, based on the local road network and population distribution, the optimal location for building the UAV base is determined, and the number of cluster centres is discussed to find the optimal container distribution. The results show that it is reasonable to allocate one and two containers in the two cluster centres in the west and east respectively. Finally, based on the selected location and considering the load of the drone, the best path is determined through graph theory. Referring to the method of finding the Euler cycle and integer programming, the drone flight plan is successfully developed. |
