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Intelligent control of an industrial thickener

机译:工业浓缩机的智能控制

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摘要

Water consumption has become an important issue for the mineral processing industry. New projects are demanding an increment of water availability nearby the plants, which are usually located in isolated and very dry land. This situation has lead to an increased effort for recovering the maximum amount of water in the solid-liquid separation process. Thickeners are designed to separate clear and reusable water from concentrate underflow. Conventional feedback control has not been effective in stabilizing the process operation when the characteristics of the feed changes over time, since process dynamics exhibits high non-linearity. This work presents an intelligent control based on an expert system applied to an industrial 125 m diameter thickener, processing 13000 m/h of concentrate containing a 27 % of solids. Main results are a reduction in flocculants consumption and a more stable operation, with few emergency conditions.
机译:耗水已成为矿物加工行业的重要问题。新项目要求增加工厂附近的用水量,这些工厂通常位于偏僻且非常干燥的土地上。这种情况导致增加了在固液分离过程中回收最大量水的努力。浓缩机设计用于从浓缩液底流中分离出透明的和可重复使用的水。当进料的特性随时间变化时,传统的反馈控制不能有效地稳定过程的运行,因为过程动力学表现出高度的非线性。这项工作提出了一种基于专家系统的智能控制,该专家系统应用于直径为125 m的工业浓缩机,处理浓度为27%的固体的13000 m / h。主要结果是减少了絮凝剂的消耗,并使操作更加稳定,紧急情况很少。

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