Visual supervision of a waste water biological reactor using artificial intelligence algorithms

Aerobic reactors are a common device to clean waste water from many different sources. During their working phase a population of bacteria consumes the organic matter and oxygen to produce carbon dioxide. In this work a reactor controlled using PID controllers is analysed. Detecting the end of the a...

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Bibliographic Details
Main Authors: Ramos, Mario J. Crespo, Machon Gonzalez, Ivan, Lopez Garcia, Hilario, Calvo Rolle, Jose Luis
Format: Conference Proceeding
Language:English
Subjects:
aerobic digestion
Inductors
Mathematical model
neural networks
online supervision
Prototypes
Quantization (signal)
Self-Organizing Maps
sequencing batch reactor
Temperature measurement
Training data
Vectors
waste water
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Description
Summary:Aerobic reactors are a common device to clean waste water from many different sources. During their working phase a population of bacteria consumes the organic matter and oxygen to produce carbon dioxide. In this work a reactor controlled using PID controllers is analysed. Detecting the end of the aerobic process is a key issue to maximize the efficiency of the reactor, as fixed times are usually not accurate because of biological causes. In this work a reduced model is calculated and used to detect different stages of the aerobic digestion, leading to a work map where different phases can be detected and controlled.
DOI:10.1109/SmartMILE.2013.6708192