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作 者:马建华[1] 张冬[1,2] 何建国[1] 康彩[1] 弋伟国 褚雪松[1]
机构地区:[1]宁夏大学物理电气信息学院,银川750021 [2]浙江大学生物系统工程与食品科学学院,杭州310085
出 处:《农机化研究》2017年第2期108-111,116,共5页Journal of Agricultural Mechanization Research
基 金:国家自然科学基金项目(31101375)
摘 要:针对传统枸杞分选机输送系统体积大、对果品损伤大的劣势,设计了一种微型化、振动式上料喂料装置,采用四轨道枸杞输送,将枸杞自动排布系统的体积缩小至70×60×70cm3。利用机器视觉的方法,对枸杞进行全图像采集,图像处理后用非接触喷气式分离系统对枸杞进行分级,达到了无损伤、无污染的分级效果。实验表明:在振动频率为60Hz、振幅为0.25mm时,可分级枸杞36个/s,分级准确度率89%,能够较好地满足枸杞加工中对枸杞分级的要求。For disadvantages of Large volume and big damage to fruit of traditional wolfberry sorting conveyor systems, we have designed a miniaturized, vibration feeding device which has four conveyor tracks and can reduced the Wolfberry au- tomatic arrangement system volume to 70×60 ×70cm3. The use of machine vision methods to take Wolfberry full image acquisition, and then we use a non-contact jet separation system for grading wolfberry after all the image processing finished, in this way no damage and pollution to the fruit. Experimental results show that the when the vibration frequen- cy equal to 60hz with 0.25mm vibration amplitude, the equipment can stability achieve to the grading speed of 36 wolf- berry per second and classification accuracy rate of 88% , which can better meet the wolfberry grade requirements of wolf- berry processing.
分 类 号:S226.5[农业科学—农业机械化工程] S24[农业科学—农业工程]
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