Aplicação de monitoramento de dados em uma máquina de lingotamento contínuo de uma siderúrgica para manutenção preditiva

Abstract

With the increasing level of competitiveness, companies have increasingly sought support in data analysis to make assertive decisions. Right now we are experiencing the fourth industrial revolution that brings increasingly digital systems that carry this innovation in their communication and operation, this change has influenced the way that people interact and communicate with these systems. Today we see that the component, equipment or system itself is capable of indicating that your health is compromised through its operating parameters. The objective of this work is to obtain these parameters from the components of a continuous casting machine of a steel mill through sensors and generate their storage through a PIMS system to allow the best performance of predictive maintenance of these components. The aim of this work is to verify the increased availability of the components of this machine after the implementation of this predictive maintenance.