IoT Based Under Ground Cable Fault Distance Detector

Abstract

This paper presents an IoT-based model for detecting the distance of cable faults in underground power cables. The proposed model uses a combination of the relay, Arduino Uno, and Wi-Fi module to detect the fault location accurately and quickly. The model includes a fault detection algorithm that can detect the fault location using voltage and current measurements. The relay is placed at regular intervals along the cable length, and the measured data is transmitted to the microcontroller using a Wi-Fi module.

The Arduino Uno analyzes the data and calculates the distance to the fault location. The calculated distance is then transmitted to a central server, which can be accessed remotely using a web application. The IoT-based underground cable fault distance detector has several benefits, including increased efficiency, reduced downtime, and improved safety. The system is also cost-effective, making it an attractive option for companies that want to optimize their maintenance and repair processes.

In conclusion, the IoT-based underground cable fault distance detector is a powerful tool that can help companies improve the reliability of their infrastructure. The system offers accurate and reliable fault detection, reducing downtime and improving safety. Its cost-effectiveness and ease of use make it a valuable investment for any organization that relies on underground cables.