Intelligent control system based on blackboard concept for wastewater treatment processes |
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| Affiliation: | 1. Department of Animal and Plant Sciences, University of Sheffield, Alfred Denny Building, Western Bank, Sheffield S10 2TN, United Kingdom;2. School of Earth and Ocean Sciences, Cardiff University, Main Building, Park Place, Cardiff CF10 3AT, United Kingdom;1. Laboratory for Fluid Dynamics and Thermodynamics, Faculty of Mechanical Engineering University of Ljubljana, A?ker?eva 6, SI-1000 Ljubljana, Slovenia;2. Deutsches Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany;3. The Hamburg Centre for Ultrafast Imaging, Luruper Chaussee 149, 22761 Hamburg, Germany;4. Laboratory for Simulation of Materials and Processes, Institute of Metals and Technology, Lepi pot 11, SI-1000 Ljubljana, Slovenia |
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| Abstract: | An intelligent control system for wastewater treatment processes has been developed and applied to full-scale, high-rate, activated sludge process control. In this control system, multiple software agents that model the target system using their own modeling method collaborate by using data stored in an abstracted database named ‘blackboard’. The software agents, which are called ‘expert modules’, include a fuzzy expert system, a fuzzy controller, a theoretical activated sludge model, and evaluators of raw data acquired by various online sensors including a respirometer. In this paper, the difficulties of controlling an activated sludge system by using a single conventional strategy are briefly reviewed, then our approach to overcome these difficulties by using multiple modeling methods in the framework of an ‘intelligent control system’ is proposed. Case studies of applications to a high-rate activated sludge process that treats BOD and nitrogen of human excrement are also presented. |
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