摘要
针对成品卷烟外表面缺陷种类多、分类细、人工质检无法对卷烟外观的细粒度缺陷进行系统性检测的问题,设计一种成品卷烟外观检测设备,自动完成成品卷烟的外观全矢量成像和缺陷检测。利用黑箱法对检测设备的技术系统进行分析,并设计了成品卷烟检测设备,该设备主要包括储供装置、单元离散装置、外观成像装置、分拣装置和缺陷检测模型;对影响卷烟运行稳定性、卷烟无损率、成像质量的关键因素进行试验,在单元离散装置上对卷烟运行稳定性因素进行正交试验,结果表明,当滑板提升速度为0.3 m/s、过渡板倾斜角为40°、辊子速度为0.045 m/s时,烟支输送无斜率可达100%,无偏移率可达99.5%,在分拣装置上对造成卷烟损伤的关键因素进行正交试验,结果表明,当气缸伸缩速度为20 mm/s、弹簧刚度为3 N/mm时,烟支损伤率为0,对影响成像质量的关键光照因素进行试验,结果表明,光源照射角为10°、光源与烟支高差为30 mm时,图像直方图的像素点与其亮度分布包络线平缓,图像清晰;最后,在设备上完成φ5.4 mm×100规格烟支的检测试验,利用改进HourglassNet-YOLO v4网络模型对成像进行缺陷检测,结果表明,烟支缺陷检出准确率达到98%,缺陷分类准确率达到95.4%。试验结果表明,该设备运行稳定,能够满足成品卷烟外观检测需求。
As the final output product of tobacco agriculture,the appearance quality of cigarette is the key link to control.However,there is no special detection equipment for the whole appearance defect detection of cigarette,while many finely categorized defects exist on the external surface of cigarette,which cannot be detected manually in a comprehensive,detailed and systematic manner.And the standardization of quality testing and the digitization of quality control are severely inhibited.A cigarette appearance inspection device was designed and tested after analyzing the technical systems of the testing equipment by using the black box approach.Firstly,the equipment was designed by combining innovative mechanical design and visual inspection function,which consisted mainly of device for storing and supplying cigarettes,device for forming units,full appearance imaging device of cigarette,sorting device and defects detection algorithm programs.Secondly,key factors affecting cigarette running stability,cigarette integrity,and imaging quality were tested on the equipment.The experimental results showed that the equipment can image cigarette completely and operate stably under the optimum parameters:the lifting speed of slide plate was 0.3 m/s,the angle of transition plate was 40°,the displacement speed of roller was 0.045 m/s,the expansion speed of the cylinder was 20 mm/s,the spring stiffness was 3 N/mm,the angle of the light source was 10°,and the height difference between the light source and the cigarette was 30 mm.Thirdly,cigarette of φ5.4 mm×100 size was imaged in the equipment,and the resulting images were processed by improved HourglassNet-YOLO v4 network model,while the result showed that the accuracy of defect detection and defect classification can reach 98%and 95.4%,respectively.The experimental results showed that the device can meet the needs of cigarette appearance detection and can provide a reference value for cylindrical object appearance detection.
作者
蒋仕飞
张兆国
王法安
李治
解开婷
JIANG Shifei;ZHANG Zhaoguo;WANG Faan;LI Zhi;XIE Kaiting(Faculty of Mechanical and Electrical Engineering,Kunming University of Science and Technology,Kunming 650500,China;Yunnan Tobacco Machinery Co.,Ltd.,Kunming 650100,China;Faculty of Modern Agricultural Engineering,Kunming University of Science and Technology,Kunming 650500,China)
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2023年第S02期375-387,共13页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家重点研发计划项目(2022YFD2002004)
云南省院士(专家)工作站项目(202105AF150030)
云南中烟重点项目(2022ZK05)
关键词
成品卷烟
视觉检测
外观检测
黑箱法
cigarette
visual inspection
inspection of appearance
black box method
作者简介
蒋仕飞(1987—),男,博士生,云南烟草机械有限责任公司工程师,主要从事智能农业机械装备设计研究,E-mail:20211103008@stu.kust.edu.cn;通信作者:张兆国(1966—),男,教授,博士生导师,主要从事农业机械装备设计研究,E-mail:zzg@kust.edu.cn
