基于结构光视觉的联合收获机谷粒体积流量测量方法
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家重点研发计划项目(2017YFD0700800)


Measurement Method of Grain Volume Flow Based on Structured Light
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对谷物联合收获机工作过程中需要实时测量谷粒流量的问题,提出应用结构光视觉测量技术实现谷物联合收获机测量系统谷粒体积流量的测量。采用普通滑槽作为测量谷粒体积流量的输送器,应用滚轮与编码器测量谷粒在滑槽中的流动速度。根据激光三角法测量原理构建结构光三维视觉系统,测量滑槽中流动谷粒的截面轮廓,应用试验参数标定法建立物长与像素偏移值的关系。在对结构光图像进行预处理的基础上,通过阈值判定法获取谷粒流截面轮廓;采用梯形微元求和法分别建立谷粒流截面计算模型与体积计算模型。试验研究了滑槽倾角和图像采集帧率对谷粒体积流量测量误差的影响,结果表明,当滑槽倾角在15°~30°、结构光图像采集帧率在40~100f/s时,4种谷粒体积流量的测量误差小于等于5.2%,重复试验变异系数小于等于0.021,均方根误差小于等于1.268L;当测量体积为17.6L、滑槽倾角为30°、结构光图像采集帧率为100f/s时,测量误差最小,为0.74%;当测量体积为39.2L、滑槽倾角为20°、结构光图像采集帧率为40f/s时,测量误差最大,为5.2%。采用结构光三维视觉测量系统,应用梯形微元积分求和法建立谷粒流体积计算模型,可以实现滑槽输送谷粒体积的在线测量。

    Abstract:

    Drawing the grain yield map during the operation of the combine harvester is a requirement to achieve precision agriculture. To draw the yield map, the grain flow into the grain tank must be measured in real time during the combined harvest. Applying the structured light visual measurement technology to achieve the measurement of grain volume flow was proposed. Ordinary chute was used as the conveyor to measure the volume flow of the grain. Rollers and encoders were used to measure the flow velocity of the grain in the chute. A structured light three-dimensional vision system was constructed based on the principle of laser triangulation to measure the flow valley in the chute cross-section profile of grain. The relationship between the object length and the pixel offset value was established by the test parameter calibration method. Based on the pre-processing of the structured light image, the cross-sectional profile of the grain flow was obtained by the threshold determination method. The trapezoidal micro-element summation method was used to establish the grain flow section calculation model and the volume calculation model. The effects of the chute inclination angle and image acquisition frame rate on the measurement error of grain volume flow were experimentally studied. The experimental results showed that when the chute inclination angle was from 15° to 30° and the frame light acquisition frame rate was from 40f/s to 100f/s, the measurement error of volume flow of the four kinds of grain was no more than 5.2%, the coefficient of variation of repeated experiments was no more than 0.021, and the root mean square error was no more than 1.268L. When the measurement volume was 17.6L, the chute inclination angle was 30°, and the structured light image acquisition frame rate was 100f/s, the minimum measurement error was 0.74%. When the measurement volume was 39.2L, the inclination of the chute was 20°, and the frame rate of the structured light image was 40f/s, the maximum measurement error was 5.2%. A structured light three-dimensional visual measurement system and a trapezoidal micro-element integral summation method were used to establish a grain flow volume calculation model, which can realize the online measurement of the grain volume conveyed by the chute.

    参考文献
    相似文献
    引证文献
引用本文

尹文庆,浦浩,胡飞,钱燕,郭栋,武亚楠.基于结构光视觉的联合收获机谷粒体积流量测量方法[J].农业机械学报,2020,51(9):101-107. YIN Wenqing, PU Hao, HU Fei, QIAN Yan, GUO Dong, WU Ya’nan. Measurement Method of Grain Volume Flow Based on Structured Light[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(9):101-107.

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:2019-12-27
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2020-09-10
  • 出版日期: