Aerobic End-Point Detection In A Sequencing Batch Reactor

Authors:	Machon Ivan, Universidad de Oviedo, Spain López Hilario, Universidad de Oviedo, Spain
Topic:	8.3 Modelling & Control of Environmental Systems
Session:	Modeling and Control of Environmental Systems
Keywords:	Waste treatment, sequencing batch reactor, self-organizing mapping, clustering algorithms

Abstract

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 technique and a con¯guration of the dissolved oxygen control closed-loop are proposed to achieve the aerobic end-point detection. The proposed software technique consists of Self-Organizing Map and clustering algorithms.