基于最小喷洒单元的植保无人机作业航线优化分割方法
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:


Optimizing Method of Operating Routes for Plant Protection Drone Based on the Smallest Spraying Unit
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 增强出版
  • |
  • 文章评论
    摘要:

    针对农业植保区域的喷洒作业问题, 以植保无人直升机为应用对象, 提出一种基于最小喷洒单元的作业航线优化分割方法. 从返航点的选择、转弯次数、作业路程的角度, 分析了多种全覆盖作业方式的优劣, 确定了无人直升机的全覆盖作业方式. 根据无流量喷洒模式下无人机电量、油量、药量等参数, 确定植保作业时最小的喷洒单元, 利用矩形切割的思想对矩形农田进行优化分割, 最终实现植保作业区域的全局规划. 仿真结果表明, 该植保区域优化分割方法可以有效地提高无人机喷洒效率, 降低无效飞行带来的经济损耗, 达到了能耗与时间的优化, 给未来高标准农田建设提供可参考的解决方案.

    Abstract:

    An optimizing method of operating routes based on the smallest spraying unit is proposed for assisting spraying operations in agricultural plant protection areas, with plant protection unmanned helicopters taken as the study object. The pros and cons of various full-coverage operation methods are analyzed in terms of the selection of return points, the number of swerves and the operating distance, which helps select the optimal operating approach of unmanned helicopters. The smallest spraying unit during plant protection operation is determined according to such parameters as the volumes of unmanned helicopter’s power, fuel and pesticide. The rectangular farmland is subjected to segmentation optimization in light of the rectangular cutting idea for the global planning of the plant protection operation area. The simulation results indicate that this optimizing method can effectively improve the spraying efficiency of unmanned helicopters, reduce the economic loss caused by useless flights and optimize energy consumption and time, which provides a reference solution for future high-standard farmland construction.

    参考文献
    相似文献
    引证文献
引用本文

刘佳晖,祖家奎,陶德臣,李晨毓.基于最小喷洒单元的植保无人机作业航线优化分割方法.计算机系统应用,2022,31(3):340-344

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2021-05-13
  • 最后修改日期:2021-06-14
  • 录用日期:
  • 在线发布日期: 2022-01-24
  • 出版日期:
您是第位访问者
版权所有:中国科学院软件研究所 京ICP备05046678号-3
地址:北京海淀区中关村南四街4号 中科院软件园区 7号楼305房间,邮政编码:100190
电话:010-62661041 传真: Email:csa (a) iscas.ac.cn
技术支持:北京勤云科技发展有限公司

京公网安备 11040202500063号