Sistema de monitoramento, análise e controle de processos automatizados para agroindústria

Abstract

Industrial Automation is capable to improve profitability, optimize processes, reduce losses, and increase quality in the agroindustrial sector. The collection and analysis of process data makes possible to develop increasingly intelligent systems that cooperate with the operators work in the agroindustry production processes, making it safer and efficient. Through the analysis of the signals collected by different types of sensors, the programmable logic controller itself is capable of predicting actions to optimize the production process, suggesting to the operator ways of running the process that guarantee the greatest efficiency of the entire productive system. This work approaches the efficiency improvement of the automated process, exploring the application possibilities of collected data by reading the sensors installed in each piece of equipment that composes the productive process.