Diseño e implementación de un control neuronal para una planta piloto de desinfección de aguas terciales utilizando tecnología porosa.

Abstract

The water purification plant was designed and implemented in an efficient and optimal way applying several knowledge, such as chemical, electrical, electronic and control. The prototype is located in building C of the Universidad Politécnica Salesiana, Guayaquil. The plant is formed by a polypropylene filter, in addition to zeolite beds and activated carbon. The most important element of this plant is the nano filtration membrane, which eliminates bacteria and viruses. Before implementing this system it was necessary to develop a prior investigation. First, an evaluation of the water that will enter the purification plant was made, then experimental pressure and flow values were taken; These data were used as initial parameters to be able to choose the elements that were used in the project. Tests were performed on the Neural Network Toolbox of MatLab to simulate the expected results of the neural network. After these evaluations, the artificial neural network was designed in LabVIEW software that works in conjunction with an NI DAQ 6009 data acquisition card and a Arduino Mega 2560, for the monitoring of the different parameters of the water that must be needed for it to be drinkable.