The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

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

På svenska

Author

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

Summary, in English

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.

Publishing year

2006

Language

English

Pages

303-311

Publication/Series

Water Science and Technology

Volume

53

Issue

4-5

Document type

Journal article

Publisher

IWA Publishing

Topic

  • Other Electrical Engineering, Electronic Engineering, Information Engineering

Status

Published

ISBN/ISSN/Other

  • ISSN: 0273-1223