目的 解决烟草包装上二维码质量控制的问题，为二维码的质量控制提供技术支持。方法 设计正交实验，利用方差分析法确定影响二维码质量等级的关键生产参数，并使用多元线性回归算法建模二维码质量。结果 发现在生产中二维码的符号反差、固有图形污损、调制比的评级最不稳定，是质量控制的关键;不同基底表面能对墨滴扩散产生影响，建立了调制比和固有图形污损的质量预测模型。结论 强调评级参数及其影响因素对质量控制的重要性，利用建模算法实现二维码质量控制，并指出质量预测模型对支持二维码的质量控制具有重要意义。

The work aims to solve the problem in the quality control of QR code on cigarette packaging, to provide technical support for quality control of QR code. An orthogonal experiment was designed to determine the key production parameters affecting the quality level of QR code by variance analysis, and the quality of QR code was modeled by multiple linear regression algorithm. It was found that the symbol contrast, inherent graphic fouling and modulation index rating of QR code were the most unstable in production, which were the keys to quality control. Different substrate surface energy had an effect on droplet diffusion, and a quality prediction model of modulation and inherent pattern fouling was established. The importance of rating parameters and their affecting factors to quality control is emphasized, and the quality control of QR code is realized by modeling algorithm. It is pointed out that the quality prediction model is of great significance to support the quality control of QR code.