Application of Case-Based Reasoning to predict Sludge Settling process and Endogenous Denitrification

Jürgen Wiese, Heidrun Steinmetz, Armin Stahl

In: Proceedings of the 5th IWA World Water Congress. IWA World Water Congress 5th September 11-14 Beijing China IWA Publishing 2006.


For the last years, artificial intelligence (AI) approaches have become useful tools in environmental engineering. Here, one relevant application area is the optimization of waste-water treatment plants (WWTP). In this paper we present a tool for real-time control (RTC) and decision support, which has been tailored to sequencing batch reactors (SBR) plants. The tool, which is able to predict the sludge settling curves as well as the endogenous denitrification (ED) during settle and draw, is based on case-based reasoning (CBR), an AI method. The tool bases its decision on past events and situations captured in cases.

IWA_Wiese_Steinmetz_Stahl.pdf (pdf, 283 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence