IoT-based Equipment Effectiveness Monitoring System

Implementation of IoT-based equipment monitoring systems has transformed industrial automation by allowing real-time data collection, predictive maintenance, and optimization of performance. This paper demonstrates the design of an IoT-Based Equipment Effectiveness Monitoring System utilizing Raspberry $P i$ as a central gateway. The suggested system utilizes various industrial sensors to monitor major parameters like machine uptime, temperature, and vibration in real time. Data is processed locally through the Raspberry Pi and relayed to a cloud dashboard for visualization and analysis. By computing Overall Equipment Effectiveness (OEE), the system determines performance bottlenecks and improves transparency of operation. The design guarantees cost-effectiveness, scalability, and flexibility of integration with existing industrial installations. This paper is focused on assisting industries to shift toward smart manufacturing with minimum infrastructure redesign and laying down the groundwork for additional research on intelligent factory monitoring systems.