玉米籽粒破碎率在线采样装置设计
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摘要
玉米籽粒破碎率是联合收割机重要参考指标之一,玉米籽粒破碎率的高低不仅直接反映出联合收割机的作业性能,还对玉米种植区域的产量多少、玉米仓储效率及以玉米为主的工业原材料生产有着十分重要的影响,但玉米籽粒破碎率在联合收割机上的在线检测一直是我国农业领域研究的重点及难点。为此,设计并研发出一种玉米籽粒破碎率在线采样装置,用于对联合收割机玉米籽粒破碎率情况进行在线检测,并通过模拟实验平台对采样装置进行安装调试。实验结果表明:采样装置采样效果较好,可初步满足联合收割机田间作业检测的需求。
Maize kernel broken rate is one of the important reference indicators of combine harvester. The maize kernel broken rate not only directly reflects the operating performance of combine harvester,but also the yield of maize planting area,maize storage efficiency and maize-based the production of industrial raw materials that has a very important impact. But the on-line detection of maize kernel broken rate on the combine harvester has been the focus and difficulty in the field of agriculture in our country. Therefore,this paper designed and developed an on-line sampling device for maize kernel broken rate,which was used to on-line detect the maize kernel broken rate of the combine harvester. Through the simulation experiment platform,the testing device was installed and debugged. The experimental results showed that sampling was better,initially meet the requirements of combine harvester field test.
Maize kernel broken rate is one of the important reference indicators of combine harvester. The maize kernel broken rate not only directly reflects the operating performance of combine harvester,but also the yield of maize planting area,maize storage efficiency and maize-based the production of industrial raw materials that has a very important impact. But the on-line detection of maize kernel broken rate on the combine harvester has been the focus and difficulty in the field of agriculture in our country. Therefore,this paper designed and developed an on-line sampling device for maize kernel broken rate,which was used to on-line detect the maize kernel broken rate of the combine harvester. Through the simulation experiment platform,the testing device was installed and debugged. The experimental results showed that sampling was better,initially meet the requirements of combine harvester field test.
引文
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[6]李晓峰,接鑫,张永丽,等.玉米种子内部机械裂纹检测与机理研究[J].农业机械学报,2010,40(12):143-147.
[7]张新伟,赵学观,张健东,等.基于数据融合的玉米种子内部机械裂纹检测方法[J].农业工程学报,2012,28(9):136-141.
[8]张杰.基于声学和图像分析的玉米应力裂纹检测方法研究[D].长春:吉林大学,2007.
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[10]Gunasekaran S,Deshpande S S,Paulsen M R,et al.Size characterization of stress cracks in corn kernels[J].Transactions of the ASAE,1985,28(5):1668-1672.
[11]Zayas,I,H Converse,J L steele.Discrimination of whole from broken corn kernels with image analysis[J].Trans of the ASAE,1990,33(5):1642-1646.
[2]王长梅,闫奎友.国家政策与进口替代博弈玉米演绎逆转行情—2015年玉米市场回顾与2016年玉米市场展望[J].饲料广角,2016(6):14-19.
[3]李心平,高连兴,马福丽.玉米种子力学特性的有限元分析[J].农业机械学报,2007,38(10):64-67.
[4]李心平,张伏,高连兴.玉米种子脱粒装置的结构技术剖析[J].农机化研究,2008(6):24-27.
[5]李心平,马福丽,高连兴.玉米种子的机械损伤对其发芽率的影响[J].农机化研究,2009,31(3):34-39.
[6]李晓峰,接鑫,张永丽,等.玉米种子内部机械裂纹检测与机理研究[J].农业机械学报,2010,40(12):143-147.
[7]张新伟,赵学观,张健东,等.基于数据融合的玉米种子内部机械裂纹检测方法[J].农业工程学报,2012,28(9):136-141.
[8]张杰.基于声学和图像分析的玉米应力裂纹检测方法研究[D].长春:吉林大学,2007.
[9]Valiente-González J M,Andreu-García G,Potter P,et al.Automatic corn(Zea mays)kernel inspection system using novelty detection based on principal component analysis[J].Biosystems Engineering,2014,117(1):94-103.
[10]Gunasekaran S,Deshpande S S,Paulsen M R,et al.Size characterization of stress cracks in corn kernels[J].Transactions of the ASAE,1985,28(5):1668-1672.
[11]Zayas,I,H Converse,J L steele.Discrimination of whole from broken corn kernels with image analysis[J].Trans of the ASAE,1990,33(5):1642-1646.