Intelligent Control of Activated Sludge Reactor Performance by DO Consumption Data

An intelligent control a continuous Activated Sludge reactor performance is proposed based on batch experiments carried at different initial BOD and activated sludge concentration (X). Starting from a point of DO saturation the time dependent DO drop is registered. The curves obtained are serving for calculation of DO consumption at each specific DO / X pair, mgO2/l.h. The DO consumption rates are used to predict the organic load increase of continuously working activated sludge reactors. In order to measure the performance of the sludge reactor, a set of sensors is required. Depending on the prediction algorithm, several parameters will be subject of measurement such as oxygen, conductivity, temperature, transparency and etc. The sensors are interfaced and polled by a measurement system of interest. The measurement system is comprised of and embedded system responsible for communications and data sampling routine, according to the specific needs the measurement system. If required the system can include data processing techniques and application of specific identifiers like timestamp and geographical position. The raw data acquisition can be performed by direct memory transfer or a specific data communication system in case the measurement system cannot be accessed directly. The aim of this research is to propose an adequate system used to take variety of samples from multiple sludge reactors at the same time and perform remote analysis of the oxygen saturation.