IoT Integrated Transmission Line Fault Detection Using Cloud Server from Remote Location

This work proposes a cloud enabled Internet of Things (IoT) based fault analysis system for transmission lines. The proposed system aims to detect and analyze faults in transmission lines in real-time, thus providing a cost-effective and efficient solution to mitigate power outages. The system uses sensors to monitor the current and voltage of the transmission lines, and the data is transmitted to a central control system through IoT devices. In this proposed work, GPS along with a WiFi module has been used for transferring the data from Arduino UNO to the ThingSpeak Cloud. The microcontroller (Arduino UNO) combines the GPS data with other information (types of fault), such as device ID and timestamp, and transmits it to the server or application via the WiFi module. The data can be sent in real-time, allowing the server or application to track the device's fault continuously from a remote location. The performance has been shown using output from Arduino as well as real-time analysis to represent the effectiveness of the proposed technique.