基于酒精度重建模型的摘酒技术研究
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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.
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.
引文
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[16]杨士振,王海龙.音叉密度仪在大港油田港北潜山的应用[J].国外测井技术,2017,38(4):88-90.
[17]张秋,范光森,李秀婷.我国白酒质量安全现状浅析[J].中国酿造,2016,35(11):15-20.
[18]李兴华.酒精密度、浓度和温度常用数据表[M].北京:中国计量出版社,1997:30-60.
[19]王丽.多元回归分析法在标准厂房基础沉降监测中的应用[J].宿州学院学报,2017,32(7):114-116.
[20]冷建飞,高旭,朱嘉平.多元线性回归统计预测模型的应用[J].统计与决策,2016,32(7):82-85.
[21]白俊艳,王旭,武晓红.Excel在生物统计学单个总体平均数t检验中的应用[J].现代农业科技,2017,46(2):276-276.
[22]GHASEMI S E,HATAMI M,AHANGAR G R M.Electrohydrodynamic flow analysis in a circular cylindrical conduit using least square method[J].J Electrost,2014,72(1):47-52.
[23]曹宏举,何素艳,万丽英.多元函数条件极值的四种求解方法[J].高等数学研究,2017,64(2):20-23.
[24]刘香君.音叉式密度计的应用探讨[J].石油化工自动化,2016,52(5):73-74.
[25]江伟,谭宏,黄永光.酱香型白酒生产工艺中新型接酒过滤装置的研发[J].酿酒科技,2017,38(4):65-67.
[2]饶家权,杜礼泉,冯波,等.浓香型白酒流酒速度与产品质量关系的研究[J].中国酿造,2012,31(2):177-179.
[3]谢亮亮,田建平,杨海栗,等.白酒大曲多点柔性制曲机设计及其结构优化[J].食品与机械,2016,32(5):101-104.
[4]彭倍,曾志,代小林.一种上甑机器人:CN206188777U[P].2017-05-24.
[5]赵维克.白酒生产过程中勾调工艺[J].食品安全导刊,2016,10(36):128-129.
[6]丁少辉.依靠科技创新打造高端液体灌装设备---访青州齐鲁包装机械有限公司总经理沙宁[J].中国包装工业,2011,20(6):36-36.
[7]周继红,姚洪图,朱天文,等.东北传统固态浓香型白酒分段摘酒及综合利用[J].酿酒,2015,42(5):85-86.
[8]丁萍,吴翔,赵磊,等.小窖宣酒芝麻香型白酒摘酒工艺探究[J].酿酒,2017,44(1):55-57.
[9]周海燕,张宿义,敖宗华,等.白酒摘酒工艺的研究进展[J].酿酒科技,2015,36(3):105-107.
[10]曾凡君,蔡勇,赵鸿飞,等.浓香型白酒应适当降低摘酒浓度[J].酿酒科技,2012,33(9):54-57.
[11]赵平.一种自动化操作的白酒量质摘酒装置:CN206188782U[P].2017-05-24.
[12]何盛国,冯涛,孙毅,等.气相压力与酒精度变化在线量质摘酒工艺:CN103045447A[P].2012-12-25.
[13]冯涛,孙毅,何盛国,等.气相温度、压力与酒精度变化在线量质摘酒工艺:CN 103045448B[P].2013-04-17.
[14]易家祥,何盛国,冯涛.风味物质在线量质摘酒工艺:CN 201210568937.X[P].2012-12-25.
[15]陈丹丹,施炎炎,朱云.酒中乙醇浓度国标检测方法的改进[J].福建分析测试,2017,26(6):31-33.
[16]杨士振,王海龙.音叉密度仪在大港油田港北潜山的应用[J].国外测井技术,2017,38(4):88-90.
[17]张秋,范光森,李秀婷.我国白酒质量安全现状浅析[J].中国酿造,2016,35(11):15-20.
[18]李兴华.酒精密度、浓度和温度常用数据表[M].北京:中国计量出版社,1997:30-60.
[19]王丽.多元回归分析法在标准厂房基础沉降监测中的应用[J].宿州学院学报,2017,32(7):114-116.
[20]冷建飞,高旭,朱嘉平.多元线性回归统计预测模型的应用[J].统计与决策,2016,32(7):82-85.
[21]白俊艳,王旭,武晓红.Excel在生物统计学单个总体平均数t检验中的应用[J].现代农业科技,2017,46(2):276-276.
[22]GHASEMI S E,HATAMI M,AHANGAR G R M.Electrohydrodynamic flow analysis in a circular cylindrical conduit using least square method[J].J Electrost,2014,72(1):47-52.
[23]曹宏举,何素艳,万丽英.多元函数条件极值的四种求解方法[J].高等数学研究,2017,64(2):20-23.
[24]刘香君.音叉式密度计的应用探讨[J].石油化工自动化,2016,52(5):73-74.
[25]江伟,谭宏,黄永光.酱香型白酒生产工艺中新型接酒过滤装置的研发[J].酿酒科技,2017,38(4):65-67.