【摘要】 用数据挖掘技术处理现行铝电解生产中自动产生的反映电解槽运行状态的日报表数据。发现阳极上升时间和阳极下降时间影响阳极效应的发生 ,并根据决策树模型找到减少效应发生概率的有效途径。电解槽平均电压与工作电压和效应持续时间的关系为Vavg=Vwrk+ 2 71× 10 - 4 τ。更多还原

【Abstract】 The aluminum electrolysis production report data is treated by data mining technique It is found that the anode effect is influenced by anode up time and anode down time, and the anode effect frequency can be reduced according to the decision tree model It is also found that the working voltage and anode effect time affect the average cell voltage and presented a forecast expression by linear regression as V avg =V wrk +2 71×10 -4 τ更多还原