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Modeling and analysis of pumps in a wastewater treatment plant: A data-mining approach

机译:废水处理厂中泵的建模和分析:一种数据挖掘方法

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摘要

A data-mining approach is proposed to model a pumping system in a wastewater treatment plant. Two parameters, energy consumption and wastewater flow rate after the pumping system, are used to evaluate the performance of 27 scenarios while the pump was operating. Five data-mining algorithms are applied to identify the relationships between the outputs (energy consumption and wastewater flow rate) and the inputs (elevation level of the wet well and the speed of the pumps). The accuracy of the flow rate and energy consumption models exceeded 90%. The derived models are deployed to optimize the pump system. The computational results obtained with the proposed models are discussed.
机译:提出了一种数据挖掘方法来对废水处理厂中的泵系统进行建模。泵系统运行后,能耗和废水流量这两个参数用于评估27种情况的性能。应用五种数据挖掘算法来识别输出(能耗和废水流量)与输入(湿井的高度和泵的速度)之间的关系。流量和能耗模型的准确性超过90%。部署派生模型以优化泵系统。讨论了用所提出的模型获得的计算结果。

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