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铝电解智能单点卡堵识别与处理策略

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为实现铝电解生产过程中下料口卡堵识别与按需打壳,提高氧化铝浓度控制的准确性,这篇文章将详细介绍一种行之有效的方法,这种方法是将压力传感器安装在每个气缸进气管上,通过压力传感器来采集整个打壳过程中的气压值和每个气压值对应的打壳持续时间,通过数据分析得出打壳过程中的最小气压值和对应的打壳持续时间,再根据每次打壳过程中的这两个数据变化来判断下料口卡堵和进行相应控制策略,通过试验该方法能有效识别下料口卡堵和进行自动处理,做到按需打壳控料,减少设备磨损和锤头沾包现象,并已在 300 kA至 600 kA大型预焙电解槽上推广使用,取得了良好的效果.
Intelligent single feeding point blockage identification and treatment strategy for aluminum electrolysis
In order to realize the blockage identification of feed opening in the aluminum electrolytic production process and improve the accuracy of alumina concentration control,this paper will introduce an effective method in detail.This method is to install a pressure sensor on the intake pipe of each cylinder,and collect the pressure value in the whole process of breaking and the corresponding duration of breaking for each pressure value.Through data a-nalysis,the minimum pressure value and corresponding duration of breaking are obtained,and the blockage identifi-cation of feed opening and corresponding control strategy are determined according to the changes of these two data during each breaking process.Through tests,this method can effectively identify the blockage identification of feed opening and automatically deal with it,so as to achieve on-demand breaking and material control and reduce equip-ment wear and hammer sticking.It has been widely used in 300 kA to 600 kA large pre-baked electrolyzer and has a-chieved good results.

aluminium electrolysisalumina concentrationbreaking and feedingjam identification

陈志洋

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贵阳铝镁设计研究院有限公司,贵州 贵阳 550081

铝电解 氧化铝浓度 打壳下料 卡堵识别

2024

四川冶金
四川省冶金情报标准研究所

四川冶金

影响因子:0.165
ISSN:1001-5108
年,卷(期):2024.46(1)
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