LoRa and IoT Based Real-Time Refinery Monitoring and Automated Control (KEY IJP************532)

• Nepolian.a,Dhanushwar. J.p,Deepak Kumar. R,Amrish. P,W. Godfrey Daniel

Abstract

This project introduces an IoT-based monitoring and control system for refinery operations, utilizing AI, ML, and LoRa technology for real-time, long-range communication. The system automates temperature control to ensure optimal conditions and regulates pressure through solenoid valves for safety leakage detection with immediate buzzer alerts enhances worker safety and prevents hazards. Ph monitoring ensures chemical balance and product quality. Predictive analytics optimize operations by learning from historical data. A user-friendly interface provides real-time data visualization, streamlining operations and boosting productivity. This solution enhances safety, efficiency, and sustainability in refinery operations.Index Terms IoT , Industrial Automation , Refinery Monitoring , Artificial Intelligence, Machine Learning (ML ), LoRa Technology , Predictive Analytics , Temperature Control , Pressure Regulation , Liquid Level Management , Gas Leakage Detection , pH Monitoring , Real-time Data Visualization , Safety , Efficiency, Sustainability.A visually appealing and intuitive interface simplifies monitoring by presenting real-time data, enabling quick responses to any irregularities. This comprehensive solution underscores the importance of integrating smart technologies to address modern industrial challenges, fostering a safer, more efficient, and eco-friendly refinery environment.