Diseño de un sistema inteligente para la prevención de incendios en redes eléctricas industrial mediante detección predictiva de fallas usando IOT e inteligencia artificial.

Abstract

This paper proposes the design of an intelligent system for fire prevention in industrial electrical networks through predictive fault detection, integrating Internet of Things (IoT) and Artificial Intelligence (AI) technologies. The study was conducted at Coheco S.A., where recurring faults such as motor overheating, untimely tripping of thermal protection devices, and deficient panel ventilation were identified. The proposal includes the installation of sensors at critical points, connected to real-time monitoring platforms, with predictive analysis to generate early alerts and activate automatic safety protocols. It is estimated that failure rates will be reduced by up to 90%, along with maintenance optimization, significant cost savings, improved industrial safety, and compliance with international regulations. The project is aligned with the principles of Industry 4.0, contributing to the plant's efficiency, sustainability, and competitiveness.