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.
DU En-ming,ZHANG Ren-chao.Automatic Sorting and Stacking System Based on Machine Vision[J].Packaging Engineering,2018,39(15):194-198. |
| 基于机器视觉的自动分拣码放系统研究 |
| Automatic Sorting and Stacking System Based on Machine Vision |
| 投稿时间：2017-09-22 修订日期：2018-08-10 |
| DOI：10.19554/j.cnki.1001-3563.2018.15.030 |
| 中文关键词: 机器视觉 工业机器人 PLC 网络 分拣 |
| 英文关键词: machine vision industrial robot PLC network sorting |
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| 中文摘要: |
| 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。 |
| 英文摘要: |
| 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. |
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