Internet of Things Based Identification of Fault in Back Channel Cable

The utilization of underground cables has become prevalent with the advancement of the power system grid. These cables are susceptible to various faults caused by underground conditions, deterioration, and rodent activity. Identifying the source of a fault poses a challenge, as it often necessitates excavating the entire line to inspect the cable. However, skilled repair personnel can accurately pinpoint the faulty section, allowing for targeted excavation to locate the fault source. This approach significantly conserves time and resources, facilitating quicker maintenance of underground cable systems. The objective of this project is to ascertain the distance of the underground cable fault from the base station in kilometres. The suggested method minimizes service disruptions, lowers operating expenses, and increases the accuracy of defect detection. By integrating IoT technology, it is possible to maintain a more responsive and resilient power infrastructure through continuous monitoring and real-time data processing. This study opens the door for more advancement in the field of power system management and shows how the Internet of Things has the ability to completely transform conventional fault detection techniques.