摘要
为提高摘酒酒精度,稳定基酒质量,达到分段摘酒的目的,该研究以酒精水溶液密度、温度、酒精体积分数关系为映射,利用最小二乘法建立了基酒密度、酒精度和温度的最优模型,以音叉密度计监测基酒密度,通过模型转换为酒精度后,对比实测酒精度与预测酒精度之间的差异,并在模型建立的基础上,设计了一种分段摘酒装置。结果表明,所建模型预测平均差、平均相对误差分别在1.36～2.84、2.2%～6.5%,无显著波动性差异,稳定性良好。该模型配合分段摘酒装置,为白酒工业提供了一种摘酒技术手段,有利于提升摘酒品质与产量。
In order to improve the alcohol content of liquor-receiving, stabilize the quality of base liquor and achieve the purpose of segmental liquorreceiving. Using alcohol-water solution density, temperature, alcohol volume fraction relationship as mapping, the optimal model of base liquor density,alcohol content and temperature in base liquor was established by least square method. The density of base liquor was determined by tuning fork densitometer, after converting into alcohol content through established model, the difference of measured and forecasted alcohol content was compared. Based on the model, a liquor-receiving device was designed. The results showed that the average deviation and average relative error of the model were 1.36-2.84,and 2.2%-6.5%, respectively, there was no significant volatility difference, and the stability was good. Combined with the model and the liquor-receiving device, it provided a technical means for Baijiu(Chinese liquor) industry, which was beneficial to improve the quality and yield of liquor-receiving.
作者
陈林
庹先国
张贵宇
孙安
田万春
CHEN Lin;TUO Xianguo;ZHANG Guiyu;SUN An;TIAN Wanchun(Artificial Intelligence Key Laboratory of Sichuan Province,Sichuan University of Science&Engineering,Yibin 644000,China;School of Automation&Information Engineering,Sichuan University of Science&Engineering,Yibin 644000,China;School of Information Engineering,Southwest University of Science and Technology,Mianyang 621010,China)
出处
《中国酿造》
CAS
北大核心
2019年第3期23-27,共5页
China Brewing
基金
人工智能四川省重点实验室开放基金项目(2018RYY01
2018RYJ05)
四川省科技计划项目(2018GZDZX0045)
四川省科技计划重点研发项目(17ZDYF3058)
关键词
最小二乘法
音叉密度计
摘酒
建模
least square method
tuning fork densitometer
liquor-receiving
model construction
