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The overall objective of this research project is to improve the treatment plant of wastewater arising from steelwork processes, by the development and application of a knowledge-based system (KBS). In particular, the aim of this work was to confirm that the benefits found in a previous study (Knowater I project, ECSC Agreement No 7210.EA/812) could be achieved in practice. The development of the KBS, started in the original project, has been continued with the intention of improving the performance of wastewater treatment plant in terms of efficiency, reliability, safety and operating costs across selected �target sites�. Artificial intelligence techniques have been used to develop virtual sensors that could replace real sensors; in fact, often, pollutant concentration measurements are difficult to obtain, expensive and unreliable in industrial applications. The results of this project showed that the KBS is effective in improving the environmental performance of existing treatment processes and is a viable alternative to the introduction of new treatment technologies which have a high capital cost for development and installation. Anomalies in plant operation, previously undetectable without extensive plant monitoring exercises, could now be instantly recognised and alarmed, allowing prioritised maintenance to maximise the efficiency of water treatment at the site. Implementation of the Knowater system has contributed to an increase in wastewater treatment plant operator awareness relating to operations in other areas of the works, resulting in smoother operating practices and increased operating efficiency.

Additional information

Authors: COLLETTA A, CSM, Rome (IT);SAIEPOUR M, Corus UK, London (GB);SCHMERMBECK H, BFI, Düsseldorf (DE);LOPEZ H, Universidad de Oviedo, Oviedo (ES);MUND P, ThyssenKrupp, Krefeld (DE)
Bibliographic Reference: EUR 21904 EN (2006), 191 pp. Euro: 25
Availability: Katalogue Number: KI-NA-21904-EN-S The paper version can be ordered online and the PDF version downloaded at:
ISBN: ISBN: 92-79-00615-0
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