首页|期刊导航|智慧农业导刊|植保飞机多区域作业起降点与返航点最优规划方法

植保飞机多区域作业起降点与返航点最优规划方法OA

中文摘要英文摘要

该文针对离散化的多区域植保作业情景,提出起降点和返航点最佳位置规划算法.算法根据不同的作业环境,包括区域边界、分布区域和田块数量等因素,提出基于遗传算法求解最小周长和的算法模型,结合多边形加权费马点规划出植保飞机的起降点的最佳位置.在起降点规划的基础上,通过MATLAB算法模型建立返航参考线,规划返航点,以减短往返起降点与返航点的航程.MATLAB仿真实验表明算法在起降点和返航点的规划方面的可行性与优越性.通过合理的规划起降点,最大限度减少作业航程;通过分析地形、作业需求以及飞行性能等多个因素,规划最佳的返航点,提高作业效率,降低能耗成本,从而实现资源的更加高效利用.

This paper proposes an optimal location planning algorithm for landing points and return points for discrete multi-area plant protection operation scenarios.According to different operating environments,including factors such as regional bound-aries,distribution areas and number of fields,the algorithm proposes an algorithm model based on genetic algorithm to solve the minimum perimeter sum,and combines polygon-weighted Fermat points to plan the optimal landing point of the plant protection aircraft.On the basis of the planning of landing points,a return reference line is established through MATLAB algorithm models and the return points are planned to shorten the voyage between the landing points and the return points.MATLAB simulation experiments show the feasibility and superiority of the algorithm in the planning of take-off points and return points.By reason-ably planning take-off and landing points,the operating range is minimized;by analyzing multiple factors such as terrain,operat-ing requirements,and flight performance,the best return point is planned to improve operating efficiency and reduce energy con-sumption costs,thereby achieving more efficient utilization of resources.

刘皋;王光辉;程涛;王洋;刘洋洋

六安市林业有害生物防治检疫中心,安徽 六安 237100六安市林业有害生物防治检疫中心,安徽 六安 237100安徽农业大学 工学院,合肥 230036皖江工学院 电信工程学院,安徽 马鞍山 243031六安市林业有害生物防治检疫中心,安徽 六安 237100||安徽农业大学 工学院,合肥 230036

农业科技

植保飞机路径规划多区域作业起降点规划返航点规划

plant protection aircraftpath planningmulti-area operationlanding point planningreturn point planning

《智慧农业导刊》 2026 (1)

36-40,5

安徽省林业科研创新项目(林科函[2025]5号)

10.20028/j.zhnydk.2026.01.010

评论