基于高速摄像的气力式油菜精量排种器投种轨迹分析
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国家自然科学基金项目(51275197)、“十二五”国家科技支撑计划项目(013BAD08B02)、国家油菜产业技术体系专项(CARS-13)、中央高校基本科研业务费专项(2014PY033)和武汉市高新技术产业科技创新团队项目(2014070504020240)


High-speed photography analysis of dropping trajectory on pneumatic metering device for rapeseed
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    摘要:

    采用高速摄像技术,在排种轴转速15 r/min、负压-1 500 Pa工况下,对正压50~600 Pa范围内观察油菜的投种轨迹,并依据目标追踪技术方法提取连续帧图像中油菜籽的坐标位置并获得其运动轨迹曲线; 统计分析油菜籽投种轨迹的分布特征,利用高斯函数模型对曲线拟合得到其分布规律,并构建正压与油菜籽投种距离的关系模型; 根据油菜籽轨迹曲线获得其投种阶段瞬时速度曲线,明确了油菜籽的运动状态。试验结果表明:在同一工况下的油菜籽轨迹曲线均服从正态分布规律,且正压大小与油菜籽投种距离为线性关系,其相关系数为0.988; 当排种器正压范围为100~250 Pa时,其投种轨迹变异系数最小。

    Abstract:

    In pneumatic precision metering device,positive and negative pressures are used to plant rapeseeds,but the trajectories of the seeds and the device′s performance are affected by the positive pressure.A high-speed photography technology was introduced to investigate the trajectories of rapeseeds with the rotating speed of 15 r/min and negative pressure of -1 500 Pa,and the positive pressures were set up from 50 to 600 Pa in the experiments.Target tracing technology was applied to capture the image of the rapeseed every 0.002 s in the dropping process and then a curve of the rapeseeds′ movement is formed on that base. The histogram of the rapeseeds′trajectories was analyzed and their distribution law was found through fitting Gaussian model.The relationship model between positive pressures and the dropping distances was developed.The velocities of rapeseed in the dropping process were introduced to analyze the motion states.The influence of seed spout was verified in the experiments.The results showed the trajectories were in norm distribution in every positive pressure,and the fitting curve between positive pressure and dropping distance was linear,and the correlation coefficient was 0.988,the average acceleration of rapeseed in different positive pressures were less than 9.8 m/s2 with the influence of air resistance;and it proved that the coefficient variance of trajectories was minimum during the positive pressures of 100-250 Pa.

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余佳佳,丁幼春,廖宜涛,丛锦玲,廖庆喜.基于高速摄像的气力式油菜精量排种器投种轨迹分析[J].华中农业大学学报,2014,33(03):103-108

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  • 收稿日期:2013-09-16
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