AN IOT BASED SAG MONITORING SYSTEM FOR OVERHEAD TRANSMISSION LINE

The project focuses on developing a monitoring system for overhead power grids that can detect sagging of extra-high voltage transmission lines in real-time. Such sagging can lead to major blackouts and existing methods for measuring sag have limitations. To overcome these limitations, an IoT-based monitoring system is proposed, which uses an embedded tri-axial accelerometer to detect sagging at different spans of a single circuit. The accelerometer's measurements are converted to accurate sag values. The system also includes an energy monitoring component and a transmission line stand-fall detection system. An Arduino Nano microcontroller is used to implement the system, along with an ADLX335 sensor to detect the position and connection of transmission line stands. The sensor can detect any stand or line falls, and a LORA module sends the data to the central station along with location and stand number information.