Experience Management for Wastewater Treatment

Jürgen Wiese, Sascha Schmitt, Armin Stahl, Joachim Hansen, Theo G. Schmitt
Proceedings GI-Workshopwoche Lehren - Lernen - Wissen - Adaptivität, Workshop on Knowledge and Experience Management, FGWM'03, Karlsruhe, Gesellschaft für Informatik, 2003


Methods and technologies from Artificial Intelligence (AI) have already entered many areas other than only computer sciences. For the last few years, AI approaches have also become extremely useful tools in environmental engineering. Here, one relevant application area is the optimization of processes in wastewater treatment plants (WWTPs). Besides the examination of the technical states of the different environmental systems, their human managers’ knowledge and experiences from past events gain more and more importance. In this paper, we will present two examples for approaches from Experience Management (EM), specifically based on Case-Based Reasoning (CBR) in the field of wastewater treatment (WWT): first, a DSS to Identification and Counteraction for Harmful Microorganisms in WWTPs and the second approach deals with a Predictive Controller for SBR plants.




@inproceedings{ WIES2003,
	Title = {Experience Management for Wastewater Treatment},
	Author = {Jürgen Wiese and Sascha Schmitt and Armin Stahl and Joachim Hansen and Theo G. Schmitt},
	BookTitle = {Proceedings GI-Workshopwoche Lehren - Lernen - Wissen - Adaptivität , Workshop on Knowledge and Experience Management, FGWM'03, Karlsruhe},
	Year = {2003},
	Publisher = {Gesellschaft für Informatik}

Last modified:: 30.08.2016