An advanced integrated expert system for wastewater treatment plants control

The activated sludge process is a commonly used method for treating wastewater. Due to the biological nature of the process it is characterized by poorly understood basic biological behavior mechanisms, a lack of reliable on-line instrumentation, and by control goals that are not always clearly stated. It is generally recognized that an Expert System (ES) can cope with many of the common problems relative with the operation and control of the activated sludge process. In this work an integrated and distributed ES is developed which supervises the control system of the whole treatment plant. The system has the capability to learn from the correct or wrong solutions given to previous cases. The structure of the suggested ES is analyzed and the supervision of the local controllers is described. In this way, the main problems of conventional control strategies and individual knowledge-based systems are overcome.

[1]  M. B. Beck,et al.  Fuzzy control of the activated sludge wastewater treatment process , 1980, Autom..

[2]  Kazuo Maeda,et al.  A knowledge-based system for the wastewater treatment plant , 1989, Future Gener. Comput. Syst..

[3]  Archibald G. Hill,et al.  Artificial intelligence in control valve selection , 1989 .

[4]  Wiktor Marek,et al.  Application of Expert Systems Technology in Water Quality Modeling , 1989 .

[5]  Miquel Sànchez-Marrè,et al.  DAI-DEPUR: an integrated and distributed architecture for wastewater treatment plants supervision , 1996, Artif. Intell. Eng..

[6]  Alan H. Bond,et al.  Readings in Distributed Artificial Intelligence , 1988 .

[7]  Mogens Henze,et al.  Modelling of the Secondary Clarifier Combined with the Activated Sludge Model No. 1 , 1992 .

[8]  J. Wanner.  Activated Sludge: Bulking and Foaming Control , 1994 .

[9]  John F. Andrews,et al.  Dynamics and control of the activated sludge process , 1992 .

[10]  Risto Laukkanen,et al.  Rule-Based Expert Systems in the Control of Wastewater Treatment Systems , 1991 .

[11]  K. Koskinen.  Expert System as a Top Level Controller for Activated Sludge Process , 1989 .

[12]  G. Daigger,et al.  Manual on the causes and control of activated sludge bulking and foaming , 1992 .

[13]  P. M. Berthouex.  Information management for wastewater treatment , 1992 .

[14]  A. Kandel,et al.  Application of fuzzy reasoning to the control of an activated sludge plant , 1990 .

[15]  Gilles G. Patry,et al.  Dynamic Modeling and Expert Systems in Wastewater Engineering , 1989 .

[16]  M. W. Barnett,et al.  Knowledge-based expert system applications in waste treatment operation and control , 1992 .

[17]  George Tchobanoglous,et al.  Wastewater Engineering Treatment Disposal Reuse , 1972 .

[18]  P. M. Berthouex,et al.  Testing expert system for activated sludge process control. , 1990 .

[19]  B. Björlenius,et al.  Use of on-line data to evaluate the activity in the biological stage at a wastewater treatment plant , 1998 .

[20]  P Paraskevas,et al.  A complete dynamic model of primary sedimentation. , 1993, Environmental technology.

[21]  Enos L. Stover,et al.  Computerized Biological Treatment Operational Process Control , 1991 .

[22]  Leonard A. Gould,et al.  Optimal control of fluid catalytic cracking processes , 1970 .

[23]  Ulises Cortés,et al.  DEPUR: A knowledge-based tool for wastewater treatment plants , 1994 .

[24]  John F. Andrews,et al.  Expert System for Anaerobic‐Digestion‐Process Operation , 1992 .

[25]  N. I. Galil,et al.  Expert Support System for Cost Modeling and Evaluation of Wastewater Treatment , 1991 .

[26]  W. Gujer,et al.  A general model for single-sludge wastewater treatment systems , 1987 .

[27]  Z. Vitasovic,et al.  AN INTEGRATED CONTROL STRATEGY FOR THE ACTIVATED SLUDGE PROCESS , 1986 .

[28]  Pau Serra,et al.  Development of a real-time expert system for wastewater treatment plants control , 1993 .