Muhammad Amirrullah Bin Adanal UniKL MIIT
Underground electrical cables are vital for modern infrastructure, but detecting faults like open circuits, short circuits, and voltage drops is difficult due to limited access. Traditional methods rely on manual inspection or excavation, which are time-consuming, costly, and disruptive.
This project proposes an IoT-based Smart Underground Monitoring System for real-time fault detection in a simulated environment. It uses an Arduino or ESP32 with sensors to monitor voltage and resistance changes. When a fault occurs, the system displays the status on an LCD and sends data to platforms like ThingSpeak or Blynk for remote monitoring and alerts.
Overall, the system improves visibility, speeds up fault detection, and reduces the need for manual intervention, enhancing efficiency, safety, and maintenance of underground cable systems.