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基于机器视觉的自动分拣码放系统研究
引用本文:杜恩明,张仁朝.基于机器视觉的自动分拣码放系统研究[J].包装工程,2018,39(15):194-198.
作者姓名:杜恩明  张仁朝
作者单位:广州铁路职业技术学院,广州,510430;广州铁路职业技术学院,广州,510430
摘    要:目的为实现包装码垛自动生产线上不同型号工件的分类码放,有效提高生产效率,降低生产成本。方法在工件识别应用中,提出一种基于机器视觉、PLC控制技术、HMI人机界面的分拣码放系统。在完成工业机器人相应的硬件及关键算法设计的基础上,利用以太网构建PLC网络控制系统,并与上位机管理系统实现交互。结果经实验测试,该自动分拣码放系统对工件的识别精度较高,均在99%以上,处理时间较短,均在0.2 s以下,能够满足生产要求。结论生产实践表明,该系统提高了工件分拣效率,减小了工人劳动强度,降低了生产成本,具有很高的推广应用价值。

关 键 词:机器视觉  工业机器人  PLC网络  分拣
收稿时间:2017/9/22 0:00:00
修稿时间:2018/8/10 0:00:00

Automatic Sorting and Stacking System Based on Machine Vision
DU En-ming and ZHANG Ren-chao.Automatic Sorting and Stacking System Based on Machine Vision[J].Packaging Engineering,2018,39(15):194-198.
Authors:DU En-ming and ZHANG Ren-chao
Affiliation:Guangzhou Institute of Railway Technology, Guangzhou 510430, China and Guangzhou Institute of Railway Technology, Guangzhou 510430, China
Abstract:The work aims to realize the classification and stacking of different types of workpiece on automatic production line of packaging and stacking, and improve production efficiency and reduce production cost effectively. During the application of workpiece identification, a kind of sorting system based on machine vision, PLC control technology and HMI man-machine interface was proposed. Based on the design of the corresponding hardware and key algorithms of the industrial robot, the PLC network control system was built with Ethernet and the interaction with the upper management system was realized. According to the experimental test, the automatic sorting and stacking system had a high recognition accuracy of over 99% of the workpieces. The processing time was short, below 0.2 s, which could meet the production requirements. Production practice shows that the system has improved the sorting efficiency of workpiece, reduced labor intensity of workers and production costs, and it has very high application value.
Keywords:machine vision  industrial robot  PLC network  sorting
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