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基于机器视觉的联合收获机作业路径规划方法

王芳

王芳.基于机器视觉的联合收获机作业路径规划方法[J].农业工程,2023,13(12):44-48. doi: 10.19998/j.cnki.2095-1795.2023.12.008
引用本文: 王芳.基于机器视觉的联合收获机作业路径规划方法[J].农业工程,2023,13(12):44-48. doi: 10.19998/j.cnki.2095-1795.2023.12.008
WANG Fang.Path planning method for combine harvester operations based on machine vision[J].Agricultural Engineering,2023,13(12):44-48. doi: 10.19998/j.cnki.2095-1795.2023.12.008
Citation: WANG Fang.Path planning method for combine harvester operations based on machine vision[J].Agricultural Engineering,2023,13(12):44-48. doi: 10.19998/j.cnki.2095-1795.2023.12.008

基于机器视觉的联合收获机作业路径规划方法

doi: 10.19998/j.cnki.2095-1795.2023.12.008
详细信息
    作者简介:

    王芳,高级工程师,主要从事农业机械技术与装备研究 E-mail:568785036@qq.com

  • 中图分类号: S126

Path Planning Method for Combine Harvester Operations Based on Machine Vision

  • 摘要:

    研究了基于机器视觉的联合收获机作业路径规划方法,解决联合收获机作业环境中因障碍物过多影响作业效率的问题。利用双目视觉相机采集联合收获机作业图像,选取九点标定法进行双目视觉相机的手眼标定。采用Canny算法利用高斯滤波器平滑处理图像,计算图像的梯度方向与幅值,利用双阈值连接联合收获机作业图像边缘,检测联合收获机作业图像边缘,划分收获目标与障碍物。依据人工势场法原理,利用联合收获机作业的环境信息构建一个势场。合成势场内联合收获机受到的引力与斥力,依据联合收获机的移动速度及合力方向,输出联合收获机的作业路径规划结果。试验结果表明,该方法可以依据联合收获机的作业环境,规划作业路径,有效规避障碍物,适应性好。

     

  • 图 1  联合收获机作业路径规划流程

    Figure 1.  Flow chart of combine harvester operation path planning

    图 2  作业图像处理结果

    Figure 2.  Operation image processing results

    图 3  规划路径和实际路径之间误差结果

    Figure 3.  Error results between planned and actual paths

    图 4  收获机作业路径规划结果

    Figure 4.  Planning results of harvester operation path

    表  1  4DL-5A型履带式联合收获机主要参数

    Table  1.   Detailed parameters of 4DL-5A tracked combine harvester

    参数名称 数值
    割台宽度/mm 2200
    履带轨距/mm 1150
    功率/kW 74.5
    发动机额定转速/(r·min−1 2400
    粮箱容量/L 1500
    作业速度/(km·h−1 0~6.8
    作业效率/(hm²·h−1 0.2~0.5
    最小离地间隙/mm 175
    单位面积油耗/(kg·hm−2 21~36
    下载: 导出CSV

    表  2  联合收获机作业覆盖率测试结果

    Table  2.   Test results of combined harvester operation coverage

    田地类型作业面积/m2作业覆盖率/%有效作业路径占比/%
    四边形田地50093.895.4
    100094.594.8
    150095.795.6
    200094.896.4
    椭圆形田地50095.792.4
    100093.694.7
    150094.896.8
    200095.895.7
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-10-08
  • 修回日期:  2023-11-19
  • 出版日期:  2023-12-20

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