IOT-BASED OVERHEAD POWER LINE MONITORING AND COMMUNICATION USING LORA TECHNOLOGY

Abstract

The increasing demand for reliable and efficient power transmission systems has highlighted the need for continuous monitoring of overhead power lines. Conventional inspection methods are often labor-intensive, time-consuming, and incapable of providing real-time fault detection. This paper presents an Internet of Things (IoT)- based overhead power line monitoring and communication system utilizing Long Range (LoRa) technology for efficient data transmission over extended distances. The proposed system integrates various sensors to monitor critical parameters such as conductor temperature, current, voltage, line sag, and environmental conditions. Sensor data are collected through IoTenabled nodes and transmitted to a centralized monitoring station using LoRa communication, which offers low power consumption, long communication range, and cost-effective deployment. The collected data are analyzed in real time to identify abnormal operating conditions and potential faults, enabling predictive maintenance and reducing system downtime. The proposed architecture enhances the reliability, safety, and operational efficiency of power distribution networks, particularly in remote and rural areas where conventional communication infrastructure is limited. Experimental evaluation demonstrates the effectiveness of LoRa-based communication in achieving stable and energy-efficient monitoring with high data transmission reliability. The system provides a scalable and intelligent solution for modern smart grid applications and contributes to the advancement of automated power line monitoring technologies. Keywords: Internet of Things (IoT), LoRa Technology, Overhead Power Lines, Smart Grid, Remote Monitoring, Fault Detection, Wireless Sensor Networks, Predictive Maintenance, Power Distribution Systems, Real-Time Communication.