LoRa-Based IoT System for Non-Contact Temperature Monitoring of Power Transformers

Abstract

Power transformers are critical components in electrical systems, and their efficient operation relies on effective temperature monitoring. Traditional contact-based temperature sensors face limitations in terms of reliability, maintenance, and safety, especially in hazardous industrial environments. This research aims to develop and evaluate a Long-Range Radio (LoRa)-based Internet of Things (IoT) system for non-contact temperature monitoring of power transformers. The system was designed using LoRa technology for long-range, low-power communication and temperature sensors for real-time monitoring. The study employed a development process involving transmitter and receiver node programming, followed by testing of data transmission, display accuracy, and database integration. The results demonstrated the system's effectiveness in providing reliable, non-contact temperature monitoring with a significant reduction in maintenance requirements and safety risks for workers. The system showed excellent performance in terms of range, accuracy, and real-time data transmission. The findings suggest that LoRa-based IoT systems can offer a cost-effective, scalable solution for industrial monitoring, enhancing operational efficiency and safety. The implications of this research extend to broader industrial applications, emphasizing the potential of IoT to optimize asset management and predictive maintenance in critical infrastructure. Future research should focus on long-term performance evaluation and the integration of predictive analytics for enhanced monitoring capabilities