基于在线采集的电解铝自动化控制设计  

Automatic Control Design of Electrolytic Aluminum on Online Acquisition

作　　者：马晴[1] 王云龙 李慧慧 

机构地区：[1]咸阳师范学院物理与电子工程学院,陕西咸阳712000

出　　处：《中国锰业》2018年第1期130-133,共4页China Manganese Industry

基　　金：陕西省大学生创新创业训练计划项目(2016010)

摘　　要：针对当前电解铝生产过程中存在的控制难题,结合电解铝电解原理和自动化控制技术,提出一种基于关联规则算法的电解铝工艺控制方法。首先对电解铝的原理与工艺进行研究;结合上述的工艺原理,阐述了在电解铝生产过程中氧化铝浓度与槽电阻的关系,进而提出本自动控制设计的关键,即要控制电解铝的生成,就需要对电解槽阻值进行实时采集和预测。在该关键点控制的基础上,提出一种基于时间序列与神经网络的槽电阻预测模型方法,进而对氧化铝浓度进行控制。最后利用C^(++)编程语言,以Mysql作为数据管理系对上述的模型进行验证,结果表明通过预测可实时显示槽电阻值,同时比较铝目标生产值与实际生产值,两者结果在误差范围内,说明该设计的可行性与有效性,为当前金属类物质的生产提供了借鉴。In view of the current control difficulties in the process of electrolytic aluminum production,we have combined with the principle of electrolytic aluminum electrolysis and automation control technology. A control method of electrolytic aluminum process on association rule algorithm is proposed. In this regard,firstly,the principle and technology of electrolytic aluminum was studied. The principle of combining technology expounds the relationship between alumina concentration and cell resistance in the process of aluminum electrolysis production. Then,it puts forward the design of automatic control of the key. As is to control the generation of electrolytic aluminum to requires real-time collection and prediction of electrolyzer resistance. Based on this key point control, a prediction method on time series and neural network is proposed to control the alumina concentration. Finally,we are using the C+ +programming language with Mysql as a data management system to verify the model. The results confirms the real-time display cell resistance value through the prediction.Comparing with the actual production of aluminum production value target value,we have found both in the range of error, indicating the feasibility and effectiveness. It provides a reference for the current metal material production.

关 键 词：在线采集 电解铝 槽电阻 神经网络 预测值 

分 类 号：TF821[冶金工程—有色金属冶金]