Desarrollo de un Sistema Smart para la adquisición y monitoreo de parámetros de funcionamiento de línea extrusora de tubos PVC en industria de tuberías plásticas

Abstract

This project presents the design and implementation of an intelligent system for acquiring and monitoring operational parameters in a plastic pipe extrusion line, aiming to improve production and ensure the quality of the final product. The system addresses the lack of reliable tools for real-time monitoring of critical variables by utilizing accessible and cost-effective technologies. The proposed hypothesis suggests that the integration of modern communication protocols and predictive analysis tools will significantly enhance the production line's performance. The project’s justification lies in the need for a solution tailored to the conditions and limitations of the industrial environment. The development included the installation and configuration of a LOGO! PLC and a network of devices connected via Ethernet and MQTT. Tools such as Node-RED, Python, and Grafana were employed for data acquisition, processing, and visualization. Additionally, a MariaDB database was implemented to store information for subsequent analysis. The collected data enabled the implementation of a prediction algorithm to anticipate future maintenance needs, using information on temperature, vibration, and production times. The results demonstrate a system capable of monitoring and analyzing operational variables in real time, identifying relevant patterns for predictive maintenance. This reduced unplanned downtime and improved the energy efficiency of the extrusion line. In conclusion, the developed system provides an efficient and scalable solution, with the potential for replication in similar industrial lines. Keywords: Monitoring, Predictive Maintenance, Extrusion, Automation, Plastic Industry.