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 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.