基于机器视觉的高温环境下物料追溯系统  

Material Traceability System in High Temperature Environment Based on Machine Vision

作　　者：刘玲玲[1,2] 张宇坤 王宏远 樊力玮 LIU Ling-ling;ZHANG Yu-kun;WANG Hong-yuan;FAN Li-wei(School of Intelligent Engineering,Zhengzhou College of Finance and Economics,Zhengzhou 450044,China;Zhengzhou Key Laboratory of Intelligent Assembly Manufacturing and Logistics Optimization,Zhengzhou 450044,China;Henan Engineering Technology Research Center of Intelligent Cold Chain Logistics Equipment Manufacturing,Zhengzhou 450044,China)

机构地区：[1]郑州财经学院智能工程学院,河南郑州450044 [2]郑州市智能装配制造与物流优化重点实验室,河南郑州450044 [3]河南省智能冷链物流装备制造工程技术研究中心,河南郑州450044

出　　处：《机械工程与自动化》2024年第3期1-3,共3页Mechanical Engineering & Automation

基　　金：河南省高等学校重点科研项目(22A460028);2022年河南省大学生创新创业计划项目(S202213497009)。

摘　　要：针对砂芯烘干生产线等高温作业环境的需求,设计了一种基于机器视觉的物料托盘编码与识别系统,并根据现场车间生产状况确定了编码盘的结构以及工业相机和编码盘的安装位置,完成了系统硬件和软件设计。利用图像识别技术对托盘编码进行识别、匹配和处理,并通过理论分析和模拟测试验证了该方法具有较高的准确率,故该系统具有一定的推广应用价值。A material tray coding and recognition system based on machine vision was designed to meet the requirements of high-temperature working environments such as sand core drying production lines.The structure of the coding disk was determined based on the production status of the on-site workshop,as well as the installation positions of industrial cameras and coding disks.The hardware and software design of the system was completed.By using image recognition technology,the tray encoding was identified,matched,and processed.Finally,the higher accuracy of this method was verified through theoretical analysis and simulation testing,which has certain promotion value.

关 键 词：机器视觉 编码 图像识别 物料追溯 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]