ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

基于結(jié)構(gòu)光視覺的聯(lián)合收獲機(jī)谷粒體積流量測量方法
CSTR:
作者:
作者單位:

作者簡介:

通訊作者:

中圖分類號:

基金項(xiàng)目:

國家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2017YFD0700800)


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

Fund Project:

  • 摘要
  • |
  • 圖/表
  • |
  • 訪問統(tǒng)計(jì)
  • |
  • 參考文獻(xiàn)
  • |
  • 相似文獻(xiàn)
  • |
  • 引證文獻(xiàn)
  • |
  • 資源附件
  • |
  • 文章評論
    摘要:

    針對谷物聯(lián)合收獲機(jī)工作過程中需要實(shí)時測量谷粒流量的問題,,提出應(yīng)用結(jié)構(gòu)光視覺測量技術(shù)實(shí)現(xiàn)谷物聯(lián)合收獲機(jī)測量系統(tǒng)谷粒體積流量的測量。采用普通滑槽作為測量谷粒體積流量的輸送器,,應(yīng)用滾輪與編碼器測量谷粒在滑槽中的流動速度,。根據(jù)激光三角法測量原理構(gòu)建結(jié)構(gòu)光三維視覺系統(tǒng),測量滑槽中流動谷粒的截面輪廓,,應(yīng)用試驗(yàn)參數(shù)標(biāo)定法建立物長與像素偏移值的關(guān)系,。在對結(jié)構(gòu)光圖像進(jìn)行預(yù)處理的基礎(chǔ)上,通過閾值判定法獲取谷粒流截面輪廓,;采用梯形微元求和法分別建立谷粒流截面計(jì)算模型與體積計(jì)算模型,。試驗(yàn)研究了滑槽傾角和圖像采集幀率對谷粒體積流量測量誤差的影響,結(jié)果表明,,當(dāng)滑槽傾角在15°~30°、結(jié)構(gòu)光圖像采集幀率在40~100f/s時,,4種谷粒體積流量的測量誤差小于等于5.2%,,重復(fù)試驗(yàn)變異系數(shù)小于等于0.021,均方根誤差小于等于1.268L,;當(dāng)測量體積為17.6L,、滑槽傾角為30°、結(jié)構(gòu)光圖像采集幀率為100f/s時,,測量誤差最小,,為0.74%;當(dāng)測量體積為39.2L,、滑槽傾角為20°,、結(jié)構(gòu)光圖像采集幀率為40f/s時,測量誤差最大,,為5.2%,。采用結(jié)構(gòu)光三維視覺測量系統(tǒng),應(yīng)用梯形微元積分求和法建立谷粒流體積計(jì)算模型,,可以實(shí)現(xiàn)滑槽輸送谷粒體積的在線測量,。

    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.

    參考文獻(xiàn)
    相似文獻(xiàn)
    引證文獻(xiàn)
引用本文

尹文慶,浦浩,胡飛,錢燕,郭棟,武亞楠.基于結(jié)構(gòu)光視覺的聯(lián)合收獲機(jī)谷粒體積流量測量方法[J].農(nóng)業(yè)機(jī)械學(xué)報,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.

復(fù)制
分享
文章指標(biāo)
  • 點(diǎn)擊次數(shù):
  • 下載次數(shù):
  • HTML閱讀次數(shù):
  • 引用次數(shù):
歷史
  • 收稿日期:2019-12-27
  • 最后修改日期:
  • 錄用日期:
  • 在線發(fā)布日期: 2020-09-10
  • 出版日期:
文章二維碼