Application of Infrared Imaging Processing in the Monitoring of Temperature in Lees Airing

2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2018-10-01 DOI:10.1109/IAEAC.2018.8577713

Shaotang Cai, Xiao-hong Ren, Lian Xu, Shih-Feng Fan

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Abstract

The traditional lees airing system of Chinese Strong Aromatic Spirits has the problems of inaccurate, incomplete and uneven temperature monitoring of the lees face. Therefore, a real-time monitoring method of lees temperature based on infrared thermal imaging technology is proposed in this paper. In this paper, the infrared temperature image of lees was collected by infrared sensors. The temperature distribution of distiller's grains thermal image was analyzed, and the temperature change curve of lees surface was plotted. The infrared image mixed processing algorithm was used to calculate the probability of uniform distribution of lees temperature. The compliance rate of the two areas of the airing bed reached 58.49% and 84.32%, respectively. Experiments show that the application of infrared thermal imaging technology can accurately determine the spreader's effectiveness. Finally, according to the monitoring effect, this paper proposes an improvement plan for the air-dryer.

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红外成像处理在通风温度监测中的应用

传统的浓香酒酒糟通风系统存在酒糟面温度监测不准确、不完整、不均匀等问题。为此，本文提出了一种基于红外热成像技术的叶片温度实时监测方法。本文采用红外传感器采集了叶片的红外温度图像。分析了酒糟热像的温度分布，绘制了酒糟表面温度变化曲线。采用红外图像混合处理算法计算叶片温度均匀分布的概率。两个区域的空气床合格率分别达到58.49%和84.32%。实验表明，红外热成像技术的应用可以准确地判断吊具的有效性。最后，根据监测效果，提出了烘干机的改进方案。

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2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

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