Modelagem de uma planta didática industrial através de rede de Petri

Abstract

The present work consists of a study of the decision-making of the industrial didactic plant SMAR for the modeling in Petri Net representing graphically the structure for systems to discrete events. The SMAR didactic plant has processes of control and supervision faithful to the reality of Industrial Automation, being these characteristics and situations found in the market. A market that increasingly uses automated systems, by reducing costs and increasing productivity. As the system of the industrial didactic plant is continuous (continuous control and processes) and the purpose of the work is the modeling, the model becomes an abstraction of the original system being described through graphical representations and physical principles that govern the system. In order to transform continuous values into discrete values, a comparison logic was used. By means of a logical structure (feedback graph) simulating the behavior, one can use the generated mathematical formalism of the modeling for data analysis and be sure of its operation. The sequential approach of Petri Net is very applied in batch production processes and is important to avoid conflicts, unexpected situations and analyze accessibility.