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FLOTATION COLUMN MONITORING AND CONTROL BASED ON PLS MODELS

机译:基于PLS模型的浮选塔监测与控制

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摘要

Today, massive amounts of data are being collected routinely on hundred of variables at high frequency. However, many important variables, such as concentrate and tailings grades are available only infrequently in flotation processes. To effectively monitor flotation columns one must utilize all the information contained in routine measurements. The main difficulties are the dimensionality and the fact that process operating variables are often highly correlated and collinear. Multivariate statistical projection methods have been proposed to treat these situations. These ideas are demonstrated using simulation studies on flotation columns.
机译:如今,常规地高频地收集数百个变量的大量数据。但是,许多重要变量(例如精矿和尾矿品位)在浮选过程中很少出现。为了有效监控浮选塔,必须利用常规测量中包含的所有信息。主要困难在于尺寸和过程操作变量通常高度相关且共线的事实。已经提出了多元统计投影方法来治疗这些情况。通过在浮选塔上进行模拟研究证明了这些想法。

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