IOT-SEMS: An IoT-Driven Energy Management Solution for Industry 4.0
Shounak Bandyopadhyay · International Journal for Research in Applied Science and Engineering Technology · 2025
The rising demand for energy efficiency in industrial environments has led to the emergence of intelligent monitoring and control systems. This research presents the development of an IoT-based Smart Energy Management System (SEMS) tailored for industrial applications. The system integrates a Raspberry Pi, Arduino microcontroller, TCS3200 colour sensor, and a 4-channel relay module to enable real-time monitoring, classification, and control of electrical devices based on energy usage and operational conditions. The Raspberry Pi serves as the central processing unit, while the Arduino interfaces with sensors and actuators to collect data and execute control signals. The TCS3200 colour sensor is employed to detect status indicators such as device operating states or color-coded signals on machinery, enabling context-aware automation. The 4-channel relay provides the switching mechanism to control multiple loads efficiently. Through Wi-Fi connectivity, the system transmits data to the cloud, allowing for remote access, real-time alerts, and performance analytics. Experimental results validate the system's ability to optimize energy usage, enhance operational control, and support predictive maintenance in industrial setups. This work contributes a scalable and cost-effective solution for intelligent energy management in Industry 4.0 ecosystems.