复杂环境下无人机配送路径优化

Optimization of UAV Delivery Route in Complex Environment

针对偏远地区无人机配送时效差以及配送环境复杂的问题,构建了复杂环境下无人机配送路径优化模型。模型以配送时间最短为目标,不仅考虑了无人机的续航能力、载重能力、载重变化对路径选择的影响,而且还将影响配送时间的环境因素(如风速、风向)考虑在内。为了验证模型的有效性,以湖北某乡村为例设计案例,通过蚁群算法对模型进行求解,并对风速、风向的交互作用进行了情景分析。实验结果表明,在无人机的飞行极限范围内,风速越大对无人机飞行的影响越大,配送时间整体呈现增加的趋势;当风速增加到一定程度时,风向角度变化会对无人机飞行时间产生较大影响。该研究可为复杂环境下无人机物流配送提供理论依据,进而为无人机路径规划研究提供有力支持和参考依据。

A model for optimizing UAV delivery paths in complex environments is constructed to address the issues of poor delivery timeliness and complex delivery environments in remote areas.The model aims to minimize delivery time,taking into account not only the impact of UAV's endurance,load capacity,and load changes on its path selection,and also taking into account environmental factors that affect delivery time,such as wind speed and wind direction.In order to verify the effectiveness of the model,a case study is designed using a rural area in Hubei Province.The model is solved using ant colony algorithm and scenario analysis is conducted on the interaction between wind speed and wind direction.The experimental results show that within theflight limit range of UAV,the greater the wind speed,the greater the impact on UAV'sflight,and the overall delivery time shows an increasing trend;When the wind speed increases to a certain extent,the change in wind direction angle will have a significant impact on theflight time of the UAV.This study can provide theoretical basis for UAV logistics distribution in complex environments,and thus provide strong support and reference for UAV path planning research.