Titolo | Intelligent monitoring system for long-term control of sequencing batch reactors |
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Tipo di pubblicazione | Articolo su Rivista peer-reviewed |
Anno di Pubblicazione | 2008 |
Autori | Marsili-Libelli, S., Spagni A., and Susini R. |
Rivista | Water Science and Technology |
Volume | 57 |
Paginazione | 431-438 |
ISSN | 02731223 |
Parole chiave | Algorithms, article, Artificial intelligence, Automated, Batch reactors, Bioreactor, Bioreactors, Chemical, control system, Fault monitoring, Fluid, Fuzzy control, fuzzy mathematics, information processing, Internet, internet protocol, leaching, Long term monitoring, monitoring system, Network protocols, Nitrogen, On-line process control, online system, Online systems, Pattern Recognition, pollution monitoring, Process monitoring, Reproducibility of Results, sensor, Sequencing batch reactor, signal detection, Time Factors, Waste disposal, Waste treatment, waste water management, Wastewater, Wastewater treatment, Water Pollutants, Wavelet analysis |
Abstract | 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. © IWA Publishing 2008. |
Note | cited By 12 |
URL | https://www.scopus.com/inward/record.uri?eid=2-s2.0-41149167616&doi=10.2166%2fwst.2008.133&partnerID=40&md5=90b0b9bb9ddfc9083ff24a67333c65db |
DOI | 10.2166/wst.2008.133 |
Citation Key | Marsili-Libelli2008431 |