锂离子电容器卷芯外形视觉在线检测系统设计  

Design of visual online inspection system for the shape of lithium-ion capacitor roll cores

作　　者：周亚申 屠建飞[1,2] 方志梅[1,2] ZHOU Yashen;TU Jianfei;FANG Zhimei(Faculty of Mechanical Engineering&Mechanics,Ningbo University,Ningbo 315211,China;Institute of Advanced Energy Storage Technology and Equipment,Ningbo University,Ningbo 315211,China)

机构地区：[1]宁波大学机械工程与力学学院,浙江宁波315211 [2]宁波大学先进储能技术与装备研究院,浙江宁波315211

出　　处：《宁波大学学报（理工版）》2022年第3期45-49,共5页Journal of Ningbo University：Natural Science and Engineering Edition

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.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.

关 键 词：锂离子电容器卷芯 机器视觉 在线检测 

分 类 号：TP216.1[自动化与计算机技术—检测技术与自动化装置]