基于并联机器人的单片装火腿缺陷识别与分拣系统设计
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王银明,男,新乡职业技术学院讲师,硕士.

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河南省就业创业研究课题(编号:豫教[2020]20775);河南省社会科学界联合调研课题 (编号:SKL-2019-2343)


Development of single-piece ham package defect recognition and sorting system based on parallel robot
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    目的:提升单片装火腿的分拣效果.方法:以 Delta 并联机器人为基础,结合自动控制、机器视觉等技术,设计搭建了一种能够识别单片装火腿缺陷的分拣系统.建立2自由度 Delta并联机器人的运动学与动力学模型,并对 Delta并联机器人进行优化设计,还设计了控制系统的组成与图像处理的算法.结果:该系统能够成功识别异物缺陷与折痕缺陷,识别率高达95%;能够准确、高效地分拣单片装火腿,分拣成功率达到 98%,分拣效率为 160包/min.结论:该系统可实现单片装火腿识别、抓取、 搬运、分拣、剔除的连续化作业.

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    Objective: Improve the sorting effect of single-piece ham package. Methods:Combined with automatic control, machine vision and other technologies, a sorting system capable of identifying single-chip ham defects was designed based on a Delta parallel robot. The kinematics and dynamics model of 2-DOF Delta parallel robot was established, and then the Delta parallel robot was optimized. The composition of control system and the algorithm of image processing were designed. Results: The system can successfully identify impurities and creases, with the recognition rate of up to 95%. It can also accurately and efficiently sort single-piece ham package, with the sorting success rate of more than 98%, and the sorting efficiency of more than 160 packets per minute. Conclusion: The sorting system can realize continuous operation of identification, grasping, handling, sorting and eliminating.

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王银明,张丹.基于并联机器人的单片装火腿缺陷识别与分拣系统设计[J].食品与机械,2022,(10):104-109.
Wang Yinming, Zhang Dan. Development of single-piece ham package defect recognition and sorting system based on parallel robot[J]. Food & Machinery,2022,(10):104-109.

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  • 在线发布日期: 2022-11-23
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