Desenvolvimento de um protótipo de monitoramento e coleta de dados de máquina para manutenção preditiva

Abstract

This study developed a device for collecting temperature and vibration data from machines, transmitting the information in real-time to a web server to support predictive maintenance. The primary goal was to make predictive maintenance accessible to businesses by creating a low-cost, internet-connected solution, particularly aimed at small entrepreneurs who wish to integrate monitoring technologies into their operations without straining their budgets. The paper details the entire development process of the device, from the initial prototype design to its final implementation in a factory setting. The device was tested on an industrial laser cutting machine motor over the course of a month, where it collected data indicating that the temperature levels could potentially compromise the machine's efficiency. Based on these findings, recommendations were provided to the company to prevent damage and optimize equipment performance.