摘要
在“新工科”和工程教育专业认证背景下,将机器视觉为代表的人工智能技术融入自动化专业课程教学实践中,设计了一种基于机器视觉的物料自动分拣实验平台。采用树莓派实现图像处理和目标分类识别,通过以太网将分类识别信息传送给可编程逻辑控制器(Programmable Logic Controller,PLC),并由PLC实现物料自动分拣操作。实验结果表明,该实验平台不仅可以使学生掌握PLC控制系统的设计与开发,也可以锻炼学生利用机器视觉技术解决工程实际问题的能力,从而提高工科学生综合分析、设计和创新能力。
Under the background of the emerging engineering education and engineering education professional certification,the artificial intelligence technology represented by machine vision is inte-grated into the teaching practice of automation major courses.Therefore,an experimental platform for automatic sorting of materials based on machine vision is designed.Image processing,target classifica-tion and recognition are realized using the Raspberry Pi in the experimental platform.The information of classification and recognition is transmitted to Programmable Logic Controller(PLC)through Ether-net,and then the automatic sorting operation is completed.The experimental results show that this ex-perimental platform can not only enable students to master the design and development of PLC control system,but also exercise the ability to solve practical engineering problems using the machine vision technology,so as to improve the abilities of analysis,design and innovation of the engineering students.
作者
盖文东
刘雅琨
荆刚
张婧
卢晓
GAI Wendong;LIU Yakun;JING Gang;ZHANG Jing;LU Xiao(College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China)
出处
《实验室科学》
2023年第6期53-57,共5页
Laboratory Science
基金
山东省本科教学改革研究项目(项目编号:P2020001,Z2020021)
山东省研究生教育教学改革研究项目(项目编号:SDYJG21088)
山东科技大学优秀教学团队培育计划项目(项目编号:TD20221101)
山东科技大学专业学位研究生教学案例库建设项目。
关键词
机器视觉
自动分拣
树莓派
可编程逻辑控制器
machine vision
automatic sorting
Raspberry Pi
programmable logic controller(PLC)
