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Granularity determination of activated sludge through on-line profiles by means of case-based reasoning

机译：通过基于案例的推理，通过在线配置文件确定活性污泥的粒度

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Aerobic granulation from floccular sludge is difficult to detect in first stages with the naked eye. This work proposes a combination of multi-way principal components and case-based reasoning to predict the granulation state of a sequencing batch reactor, based solely on the on-line registered profiles of common sensors (i.e. pH, dissolved oxygen and oxidation-reduction potential). The methodology is able to discriminate between two active sludge granularities (floccular and granular). Two different scenarios are presented: one in which both granularities are present, and another scenario for which the granular state is not initially available. Analysis reported pH as the key variable in the transition between both states according to its variation, and that, in general, the granularity of the process can be correctly predicted at the end of the anaerobic phase. This methodology improves process monitoring capabilities during granulation and is an on-line alternative to a microscope analysis before the batch release.
机译：絮凝污泥中的好氧颗粒很难在第一阶段用肉眼检测到。这项工作提出了一种基于主要传感器的在线注册配置文件（即pH，溶解氧和氧化还原电位）的多路主成分和基于案例的推理相结合的方法，以预测顺序批处理反应器的颗粒化状态。 ）。该方法能够区分两种活性污泥粒度（絮状和颗粒状）。提出了两种不同的方案：一种方案中同时存在两种粒度，另一种方案中最初没有可用的粒度状态。分析报告说，pH是根据其变化而在两种状态之间过渡的关键变量，并且通常，可以在厌氧阶段结束时正确预测过程的粒度。这种方法提高了制粒过程中的过程监控能力，是批生产之前显微镜分析的在线替代方法。

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