A Real Time Data Monitoring for Spinning Mill Using IOT

This paper proposes a real-time data monitoring system for spinning mills using Internet of Things (IoT) technology. The system uses sensors to collect data from various machines in the spinning mill and transmits the data wirelessly to a central server. The composed information is then handled and analyzed to detect anomalies and predict potential failures in the spinning mill equipment. The system also provides real-time alerts to the mill operators, enabling them to take timely corrective actions and prevent downtime. The proposed system offers significant benefits in terms of improved equipment performance, reduced maintenance costs, and increased productivity. Overall, the proposed system demonstrates the potential of IoT technology in enhancing the efficiency and reliability of spinning mills.