文章基本信息

标题：Data-Driven Approach of KPI Monitoring and Prediction with Application to Wastewater Treatment Process
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作者：M. Krueger ; H. Luo ; S.X. Ding 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：21
页码：627-632
DOI：10.1016/j.ifacol.2015.09.596
语种：English
出版社：Elsevier
摘要：In this paper, a data-driven scheme of key performance indicator (KPI) monitoring, prediction and KPI related fault detection is applied to the wastewater treatment process (WWTP). By means of a data-driven realization of the so-called left coprime factorization (LCF) of the process, the efficient monitoring and prediction of chemical oxygen demand (COD) concentration in the effluent flow are realized both for the situation that COD is measurable and unmeasurable. The well established Benchmark Simulation Model no. 1 (BSM1) is utilized for the demonstration of the effectiveness of this approach.
关键词：Data-drivenProcess monitoringKPI predictionWastewater treatment process