基于支持向量机的白酒上甑探汽方法研究

针对白酒"探汽上甑"工艺在实现自动化过程中出现的探汽准确率低的问题,提出了一种基于支持向量机的探汽方法。使用红外热成像仪采集甑桶内酒醅表面的红外灰度图像并进行直方图处理,再提取多个特征,结合工程经验添加标签构成训练集,通过支持向量机训练得到上甑过程中的探汽模型。通过测试,该方法的探汽准确率高达96%,能满足白酒生产工艺要求。

Study on steam detection method of Chinese spirits steamer-filling operation based on support vector machine

Aiming at the problem of low accuracy of steam detection in the process of automation of"steam detection and steaming"of Chinese spirits.This paper proposes a steam detection method based on support vector machine(SVM)to improve the accuracy of automatic steam detection.First,the infrared thermal imager is used to collect the infrared grayscale image of the surface of the wine cellar in the barrel and perform histogram processing,then extract histogram,s multiple features.Combined with the engineering experience to add tags to form the training set,and through the support vector machine training to obtain the exploration model in the process of the captain.Through testing,the method has a high detection accuracy of 96%,which can meet the requirements of Chinese spirits production process.