IoT based Speed Sensing and Fault Monitoring of Induction Motor using GSM Technique for Industrial Application

In the context of modern industrial production, where motor-driven machinery and industrial automation play pivotal role, ensuring reliable performance will help to mitigate the costly downtime. This research study introduces an innovative approach that integrate Internet of Things (IoT) with GSM technology, which is specially designed for industrial applications with a focus on the monitoring and optimization of induction motor performance. Utilizing an array of sensors and IoT devices, the proposed system enables continuous monitoring of critical motor parameters, including motor speed, temperature, voltage, and current. Real-time data collection is facilitated, and the central control unit processes this information by using advanced algorithms to comprehensively assess the induction motor performance and promptly detect potential issues. A distinctive feature of the proposed approach is the integration of GSM technology for enabling real-time alerts and remote monitoring capabilities. In the presence of abnormalities or defects, the proposed system triggers notifications through SMS or messaging platforms. This alert system significantly contributes to the reduction of maintenance costs and downtime by enabling swift response to the emerging problems. The proposed system offers a user-friendly interface tailored for operators and maintenance teams. This interface allows remote access to performance statistics, historical records, speed sensing, and fault monitoring. Empowering operators with insightful data supports informed decision-making and facilitates proactive maintenance planning by ultimately enhancing the overall reliability and efficiency of industrial processes with a specific focus on induction motor-driven machinery.