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231223s2008 xx |||||o 00| ||eng c |
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|a 10.2166/wst.2008.133
|2 doi
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|a eng
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|a Marsili-Libelli, S
|e verfasserin
|4 aut
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|a Intelligent monitoring system for long-term control of Sequencing Batch Reactors
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|c 2008
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|a Text
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|a ƒaComputermedien
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|a Date Completed 24.06.2008
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|a Date Revised 21.11.2013
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|a published: Print
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|a Citation Status MEDLINE
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|a This paper discusses the application of artificial intelligence (AI) concepts to the monitoring of a lab-scale Sequencing Batch Reactor (SBR) treating nitrogen-rich wastewater (sanitary landfill leachate). The paper describes the implementation of a fuzzy inferential system to identify the correct switching sequence of the process and discusses the results obtained with six months of uninterrupted operation, during which the process conditions varied widely. The monitoring system proved capable of adjusting the process operation, in terms of phase length and external COD addition, to the varying environmental and loading conditions, with a percentage of correct phase recognition in excess of 95%. In addition, the monitoring system could be remotely operated through the internet via TCP/IP protocol
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|a Journal Article
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|a Water Pollutants, Chemical
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|a Nitrogen
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|a Spagni, A
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|a Susini, R
|e verfasserin
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|i Enthalten in
|t Water science and technology : a journal of the International Association on Water Pollution Research
|d 1986
|g 57(2008), 3 vom: 29., Seite 431-8
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