锂离子电容器卷芯外形视觉在线检测系统设计
PDF下载 (289)周亚申,屠建飞,方志梅.锂离子电容器卷芯外形视觉在线检测系统设计[J].宁波大学学报(理工版),2022,35(3):45-49.DOI:
ZHOU Yashen,TU Jianfei,FANG Zhimei.Design of visual online inspection system for the shape of lithium-ion capacitor roll cores[J].Journal of Ningbo University(Natural Science & Engineering Edition),2022,35(3):45-49.DOI:
| Title: | Design of visual online inspection system for the shape of lithium-ion capacitor roll cores |
| 作者: | 周亚申, 屠建飞, 方志梅 |
| Author(s): | ZHOU Yashen, TU Jianfei, FANG Zhimei |
| 关键词: | 锂离子电容器卷芯; 机器视觉; 在线检测 |
| Keywords: | lithium-ion capacitor roll core; machine vision; online inspection |
| 分类号: | TP216+.1 |
| 文献标识码: | A |
| 摘要: | 为解决锂离子电容器卷芯的生产设备钉卷机检测能力不足、操作者劳动强度大、效率低等问题, 设计了一款基于机器视觉的锂离子电容器卷芯外形尺寸在线检测系统. 应用高清CMOS工业相机、PLC、光电传感器等搭建硬件平台并安装到钉卷机上, 设计了适用于锂离子电容器卷芯检测的图像处理算法, 并基于此对该系统进行验证. 结果表明, 该系统具有识别精度高、效率高、可靠性强的优点, 能够满足检测需求. |
| Abstract: | In order to solve the problems of insufficient detection ability, high labor intensity and low efficiency of the nailing machine in manufacturing of lithium-ion capacitor roll cores, this paper developed an online detection system for lithium-ion capacitor roll core shapes based on machine vision. A hardware platform was established using high-definition CMOS industrial cameras, PLC, photoelectric sensors, etc. and was installed on the nailing machine. An image processing algorithm suitable for the detection of lithium-ion capacitor roll cores was developed. Experimental results show that the system has the advantages of high recognition accuracy, high efficiency, and strong reliability, and can fully meet the detection requirements. |
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| 备注/Memo: | 收稿日期:2021-10-22.宁波大学学报（理工版）网址:http://journallg.nbu.edu.cn/ 第一作者:周亚申（1994－）,男,河南驻马店人,在读硕士研究生,主要研究方向:工业检测.E-mail:zhouyashen@yeah.net *通信作者:屠建飞（1974－）,男,浙江宁波人,副教授,主要研究方向:工业互联网.E-mail:tujianfei@nbu.edu.cn 宁波大学学报（理工版）网址：http://journallg.nbu.edu.cn/ |
