卷烟卷制与包装过程的质量控制要点研究

Research on Key Points of Quality Control in Cigarette Making and Packaging Processes

摘要: 卷烟卷制与包装环节是决定最终产品品质的核心阶段。本文系统研究了该过程中影响卷烟外观、物理指标、吸食品质及安全性的关键质量控制点。通过对原料筛选与预处理、卷制工艺参数优化(如烟丝结构、填充密度、接装纸透气度、烟支规格)、包装材料性能控制(如卷烟纸、滤棒、内衬纸、商标纸、透明纸)、设备状态维护与校准、在线与离线质量检测技术应用(如重量控制、圆周检测、密封性测试、AI视觉检测、大数据分析)、以及生产环境(温湿度、洁净度)管理以及智能制造技术应用案例等要点的深入分析，揭示了各环节对卷烟综合质量的影响机理及其相互作用。研究强调，建立覆盖全过程、多维度、智能化的质量监控体系，并辅以严格的标准化操作、设备预防性维护和人员培训，是保障产品质量稳定、提升企业核心竞争力的关键。文中整合国内标杆案例实证数据(例如，湖南中烟AI视觉检测缺陷识别率99.7%)，并对比国际研究进展，为行业提供可落地的技术路径。本研究为卷烟制造企业优化质量控制策略、提升工艺水平提供了理论依据和实践参考，对推动行业高质量发展具有积极意义。

Abstract: The cigarette making and packing is the core stage that determines the final product quality. This paper systematically investigates the key quality control points within this process that affect cigarette appearance, physical parameters, smoking quality, and safety. Through an in-depth analysis of critical aspects—including raw material selection and pre-treatment, optimization of making process parameters (such as cut tobacco structure, filling density, tipping paper permeability, cigarette specifications), control of packaging material properties (like cigarette paper, filter rods, inner liner paper, brand paper, transparent film), equipment status maintenance and calibration, application of online and offline quality inspection technologies (e.g., weight control, circumference detection, seal integrity testing, AI visual inspection, big data analytics), production environment management (temperature, humidity, cleanliness), and case studies of smart manufacturing technology application—it reveals the influence mechanisms and interactions of each stage on the overall cigarette quality. The research emphasizes that establishing an intelligent, multi-dimensional quality monitoring system covering the entire process, supplemented by rigorous standardized operations, preventive equipment maintenance, and personnel training, is crucial for ensuring stable product quality and enhancing core corporate competitiveness. The paper integrates empirical data from domestic benchmark cases (for instance, China Tobacco Hunan Industrial’s AI visual inspection achieving a 99.7% defect recognition rate) and contrasts them with international research advancements to provide the industry with actionable technical pathways. This study offers a theoretical foundation and practical reference for cigarette manufacturers to optimize quality control strategies and improve process levels, holding positive significance for promoting the high-quality development of the industry.