CN CN120833106A
The invention relates to the technical field of unmanned aerial vehicles, in particular to a shared unmanned aerial vehicle distribution method and system based on route planning, and the method comprises the following steps: collecting data related to an unmanned aerial vehicle distribution task, including geographic information and climate condition data, associating a place coordinate with a time label through geocoding, and carrying out the data arrangement according to a time sequence, and generating a task serialization list. According to the method, the accuracy of task planning is remarkably improved by utilizing geographic information and climate condition data, so that the unmanned aerial vehicle distribution can more effectively cope with the problems of different geographic environments and climate changes, and accurate sorting of task priorities is realized by dynamically analyzing the emergency degree, the customer level and the expected delivery time of the tasks; the service pertinence and the task response speed are improved, the flight time and the energy consumption prediction are combined, the resource allocation is optimized, the cost effectiveness of the flight plan is improved, and the flight route and the task allocation are dynamically adjusted by monitoring the environment change and the state of the unmanned aerial vehicle in real time.
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