摘要
为解决传统曲房存在曲块发酵不均、测温点多、温度结构复杂和温度系统不宜微调与控制等问题,提出双神经网络控制算法与内循环管道结构,实现曲房温度实时测控与曲房环境空气内部循环,同时介绍了新型曲房配套的软硬件系统。经过试验测试,该系统工作稳定,能够精确测控曲块发酵过程中曲房的环境温度,使曲房各区域温度保持均匀。
In order to solve the problems of uneven fermentation of koji bticks,multiple temperature measurement points,complicated temperature structure and unsuitable fine-tuning and control of the temperature system in the traditional koji bank,a dual neural network control algorithm and internal circulation pipeline structure were proposed to achieve real-time temperature measurement and control of the koji bank.The internal air circulation in the room is also introduced.After experimental testing,the system works stably,and can accurately measure and control the ambient temperature of the koji bank during the fermentation process of the koji bricks,so that the temperature in each area of the koji bank can be kept uniform.
作者
徐佳乐
黄丹平
田建平
于少东
黄丹
罗惠波
田颖
刘亮
XU Jia-le;HUANG Dan-ping;TIAN Jian-ping;YU Shao-dong;HUANG Dan;LUO Hui-bo;TIAN Ying;LIU Liang(College of Mechanical Engineering,Sichuan University of Science&Engneering,Yibin,Sichuan 644000,China;College of Bioengineering,Sichuan University of Science&Engneering,Yibin,Sichuan 644000,China)
出处
《食品与机械》
北大核心
2020年第12期90-94,共5页
Food and Machinery
基金
酿酒生物技术及应用四川省重点实验室项目(编号:NJ2018-05)
企事业单位委托科技项目(编号:CXY2019ZR006)。