小盒烟包内框纸拼接误差的视觉检测系统设计

Design of a Visual Inspection System for Inner Frame Paper Splicing Errors in Small Box Cigarette Packs

摘要: 卷烟包装中，内框纸拼接精度直接影响烟包质量与生产线效率，而现有检测设备存在适配性差、精度不足、抗干扰能力弱等问题，难以满足卷烟机高速生产需求。文章针对该问题，围绕拼接误差的机械成因，设计了一套适配烟机工况的视觉检测系统。研究依次完成了拼接工艺分析、总体机械方案设计及关键部件研发，并结合SolidWorks仿真与ZJ17型卷烟机现场实验验证了系统性能；同时引入图像处理算法模块以保障检测精度。结果表明，该系统检测分辨率达0.01 mm，漏检率0.08%，误检率0.04%，连续无故障运行时间满足设计要求，可精准检测拼接误差并完成缺陷标记与剔除，有效提升烟包生产质量，为卷烟包装机械自动化升级提供技术支撑。

Abstract: In cigarette packaging, the splicing accuracy of the inner frame paper directly affects the quality of the cigarette pack and the efficiency of the production line. Existing inspection equipment suffers from poor adaptability, insufficient accuracy, and weak anti-interference capabilities, making it difficult to meet the high-speed production demands of cigarette machines. This paper addresses this problem by designing a visual inspection system adapted to the operating conditions of cigarette machines, focusing on the mechanical causes of splicing errors. The splicing process analysis, overall mechanical scheme design, and key mechanical component development were completed sequentially. The system performance was verified through SolidWorks simulation and on-site experiments on a ZJ17 cigarette machine. A new image processing algorithm module was added to ensure detection accuracy. Results show that the system achieves a detection resolution of 0.01 mm, a false negative rate of 0.08%, and a false positive rate of 0.04%. The continuous fault-free operation time meets the design requirements. It can accurately detect splicing errors and complete defect marking and removal, effectively improving the quality of cigarette pack production and providing technical support for the automation upgrade of cigarette packaging machinery.