Desarrollo de un sistema SCADA para la supervisión de un proceso industrial utilizando inteligencia artificial.

Abstract

In the present degree work, the design of a SCADA system for the supervision of an industrial process has been carried out applying artificial intelligence through algorithms of fuzzy logic, for this the industrial environment must be designed and simulated through the CODESYS program, the which allows to program this process, and at the same time using the AI program to perform intelligent simula t ion monitoring. The study carried out is of a correlational type, which implies the relationship between the positioning variables in a vehicular assembly process. These types of processes need to handle strict assembly standards in order to meet the expectations of the current automobile industry, which requires ample processing capacity to perform the administration and decision making regarding this kind of applications. The results of the simulation tests yielded the following results: The measurements of the position of the pieces to be transferred were carried out correctly, the intelligent supervision and control of the process elements, conveyor belts, robotic arms, parts, etc. The algorithm based on fuzzy logic, for the supervision of the simulation of the industrial process of the vehicle assembly line type, managed to optimize the control, supervision and data acquisition of the analyzed process.