复合滤棒成型机组视觉成像检测剔除系统的设计应用  

Design and application of visual imaging detection and removal system for the composite filter rod molding machine

作　　者：卢晓波 徐海[1] 朱俊召[1] 张宇 高冠男 林龙 汤俊 LU Xiaobo;XU Hai;ZHU Junzhao;ZHANG Yu;GAO Guannan;LIN Long;TANG Jun(China Tobacco Hubei Industrial Co.,Ltd.,Hubei 430040,China)

机构地区：[1]湖北中烟工业有限责任公司,武汉市东西湖金山大道1335号430040

出　　处：《中国烟草学报》2025年第2期30-38,共9页Acta Tabacaria Sinica

基　　金：湖北中烟工业有限责任公司科技项目“单通道轮式线性复合技术研发及应用”(2022JSXX4WH2B036)。

摘　　要：【背景和目的】YL43滤棒成型机组现有的微波技术无法检测识别加热卷烟生产过程中带有铝箔卷纸的复合滤棒,利用视觉成像检测原理设计复合滤棒视觉检测剔除系统。【方法】通过视觉成像检测复合滤棒不同单元的成像灰度差异,区分复合滤棒不同单元的特性,对复合滤棒成型过程中出现的拼接间隙过大、相位偏移、单元缺失及单元错位缺陷棒进行在线检测及剔除。【结果】以湖北中烟武汉卷烟厂生产的“普通卷纸包裹的常规醋纤单元+铝箔卷纸包裹的发烟段单元”二元复合滤棒为对象进行测试,结果表明拼接间隙≥0.5mm、相位偏移≥1mm、单元缺失或单元错位的不合格复合滤棒均能进行剔除,缺陷检测精度可达0.1 mm,检测准确率≥99.5%(α=0.005),剔除准确率100%。The existing microwave technology of YL43 filter rod molding unit is unable to detect and identify the composite filter rod with aluminum foil roll paper during the heating cigarette production.A visual detection and removal system of composite filter rod is designed based on the principle of visual imaging detection.The image gray difference of different elements of the composite filter rod was detected by visual imaging,and the characteristics of different elements of the composite filter rod were distinguished.The system enables online detection and removal of defective rods with issues such as excessive splicing gaps,phase offset,missing units,and misaligned units during the forming process of composite filter rods.Testing was conducted on a binary composite filter rod produced by Hubei China Tobacco Wuhan Cigarette Factory,consisting of a conventional cellulose acetate unit wrapped in ordinary paper and a smoking segment unit wrapped in aluminum foil paper.The results showed that unqualified composite filter rods with splicing gap≥0.5mm,phase offset≥1mm,missing or misaligned units could be removed.The defect detection accuracy reached 0.1mm,the detection accuracy was≥99.5%(α=0.005),and the rejection accuracy was 100%.

关 键 词：加热卷烟 二元复合滤棒 视觉成像 检测系统 

分 类 号：TS43[农业科学—烟草工业]