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传统卷烟车间产品质量全周期监控方法无法全面采集产品质量参数相关数据，导致监控结果片面，监控成本较高，无法广泛应用。为此，研究基于SPC的卷烟车间产品质量全周期监控方法。该方法设置全周期监控SPC模式，实时观测产品质量参数的动态分布；基于k-means算法提取SPC控制图特征；利用质量监控算法控制混合模型，实现对卷烟车间产品质量的全周期监控。实验结果表明所研究方法可以观测每一个生产环节中卷烟产品的质量状态，而3组传统方法只能在部分环节和最后的验收环节评价卷烟产品质量进。比较4种监控方法的卷烟车间产品生产成本可知，所研究方法下的车间成本比其他3个测试组的生产成本分别降低了1.06万元、1.59万元以及2.15万元。

The traditional full-cycle product quality monitoring method in cigarette workshop cannot collect data related to product quality parameters comprehensively, which leads to one-sided monitoring results and high monitoring cost, so it cannot be widely used. Therefore, a full-cycle monitoring method of product quality in cigarette workshop based on SPC was studied. A full-cycle monitoring SPC mode was set to observe the dynamic distribution of product quality parameters in real time. The characteristics of SPC control chart were extracted based on k-means algorithm. The hybrid model was controlled by quality control algorithm, and the whole cycle of product quality monitoring was realized in the cigarette workshop. The experimental results show that the proposed method can observe the quality status of cigarette products in each production link, while the three traditional methods can only evaluate the quality of cigarette products in the partial link and the final acceptance link. It can be seen from the comparison of the production costs of cigarette workshop products of the four monitoring methods that the workshop cost under the research method is reduced by 10 600 yuan, 15 900 yuan and 21 500 yuan, respectively, compared with the production costs of the other three test groups.