针对传统方法由于智能化程度低导致白酒发酵控制精度低的问题，采用智能视觉方法，从发酵温度、原料数量、发酵时间以及发酵环境pH值四个方面，实现白酒发酵过程的精度控制。为验证该技术的有效性，设计对比实验，将传统的控制技术作为对照组，将基于智能视觉的控制技术作为实验组，对两种技术控制下的白酒进行了全方位分析。经过对比实验得出结论：实验组白酒中的乙醇含量为95.18%，对照组为95.26%，两组白酒中的乙醇含量相似。但对照组的酯类含量为0.0046%，醛类与醇类的总含量为0.0079%，实验组的白酒酯类含量为0.0069%，醛类与醇类的总含量为0.0026%，由于实验组酯类含量高，而醛类与醇类含量少，因此该组白酒的品质更好。实验组的整体控制精度为90.65%，与对照组相比提高了4.93%。实验组的控制误差率始终在0上下波动，温度控制准确率始终保持在95.36%以上，白酒成品质量评分均在4.73分以上，以上数据均说明基于智能视觉的白酒发酵过程精度控制技术的可靠性与实用性好，可在实际中推广使用。

Due to the problem of low precision of Baijiu fermentation control caused by the low degree of intelligence of traditional methods, intelligent vision method was adopted to realize the precision control of Baijiu fermentation process from four aspects of fermentation temperature, raw material quantity, fermentation time and pH value of fermentation environment. In order to verify the effectiveness of the technology, a comparative experiment was designed. The traditional control technology was used as the control group, and the control technology based on intelligent vision was used as the experimental group. The results showed that the alcohol content of the experimental group was 95.18%, and that of the control group was 95.26%. The alcohol content of the two groups was similar. However, the ester content of the control group was 0.0046%, the total content of aldehydes and alcohols was 0.0079%. However, the total content of aldehydes and alcohols in the experimental group was 0.0069%, the total content of aldehydes and alcohols in the experimental group was 0.0026%. Due to the high content of ester content of the experimental group and the low content of aldehydes and alcohols, the quality of the Baijiu in the experimental group was better. The overall control accuracy of the experimental group was 90.65%, which was 4.93% higher than that of the control group. The control error rate of the experimental group always fluctuated from 0 to 0, the accuracy rate of temperature control always kept above 95.36%, and the quality scores of Baijiu products were all above 4.73. The results in this work showed that the precision control technology of Baijiu fermentation process based on intelligent vision had good reliability and practicability, which can be popularized in practice.

江苏省技工院校教育教学项目（17SJY0904）；苏州市“高技能人才培养研发项目（GJNP201601）