End-point detection of the aerobic phase in a biological reactor using SOM and clustering algorithms

The estimation of the aerobic phase end-point is usually used to improve the operating capacity in a sequencing batch reactor. In this paper, a software tool and a configuration of the dissolved oxygen control closed loop are proposed to achieve the aerobic end-point detection of a sequencing batch...

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Bibliographic Details
Published in:Engineering applications of artificial intelligence 2006-02, Vol.19 (1), p.19-28
Main Authors: Machón González, Iván, López García, Hilario
Format: Article
Language:English
Subjects:
Biological treatment
Clustering algorithms
Self-organizing mapping
Sequencing batch reactor
Waste treatment
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Summary:The estimation of the aerobic phase end-point is usually used to improve the operating capacity in a sequencing batch reactor. In this paper, a software tool and a configuration of the dissolved oxygen control closed loop are proposed to achieve the aerobic end-point detection of a sequencing batch reactor in a coke wastewater treatment plant. The proposed software tool consists of self-organizing map (SOM) and clustering algorithms. Moreover a validation method for SOM training is outlined and a predefined criterion to determine the SOM size is tested.
ISSN:0952-1976
1873-6769
DOI:10.1016/j.engappai.2005.05.008