Demonstration of a tool for automatic learning and reuse of knowledge in the activated sludge process

J Comas, I Rodríguez-Roda, M Poch, K V Gernaey, Christian Rosén, Ulf Jeppsson

Research output: Contribution to journalArticlepeer-review

Abstract

Wastewater treatment plant operators encounter complex operational problems related to the activated sludge process and usually respond to these by applying their own intuition and by taking advantage of what they have learnt from past experiences of similar problems. However, previous process experiences are not easy to integrate in numerical control, and new tools must be developed to enable re-use of plant operating experience. The aim of this paper is to investigate the usefulness of a case-based reasoning (CBR) approach to apply learning and re-use of knowledge gained during past incidents to confront actual complex problems through the IWA/COST Benchmark protocol. A case study shows that the proposed CBR system achieves a significant improvement of the benchmark plant performance when facing a high-flow event disturbance.
Original languageEnglish
Pages (from-to)303-311
JournalWater Science and Technology
Volume53
Issue number4-5
DOIs
Publication statusPublished - 2006

Subject classification (UKÄ)

  • Other Electrical Engineering, Electronic Engineering, Information Engineering

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