Next-generation Monitoring: Arduino-based Networking Approach for Underground Cable Fault Detection

Authors

  • Rohan Chand Student, Department of Electrical Engineering, Vishwaniketan's Institute of Management Entrepreneurship and Engineering Technology, Khalapur, Maharashtra, India
  • Prince Kumar Student, Department of Electrical Engineering, Vishwaniketan's Institute of Management Entrepreneurship and Engineering Technology, Khalapur, Maharashtra, India
  • Prince Kumar Student, Department of Electrical Engineering, Vishwaniketan's Institute of Management Entrepreneurship and Engineering Technology, Khalapur, Maharashtra, India
  • Vivek Rinke Student, Department of Electrical Engineering, Vishwaniketan's Institute of Management Entrepreneurship and Engineering Technology, Khalapur, Maharashtra, India
  • Vivek Rinke Student, Department of Electrical Engineering, Vishwaniketan's Institute of Management Entrepreneurship and Engineering Technology, Khalapur, Maharashtra, India
  • Nikhil Yeole Student, Department of Electrical Engineering, Vishwaniketan's Institute of Management Entrepreneurship and Engineering Technology, Khalapur, Maharashtra, India
  • Nikhil Yeole Student, Department of Electrical Engineering, Vishwaniketan's Institute of Management Entrepreneurship and Engineering Technology, Khalapur, Maharashtra, India

DOI:

https://doi.org/10.37628/jbcc.v9i2.1970

Abstract

This study presents a novel approach that makes use of networking technology and Arduino microcontrollers to identify defects in subterranean cables. For electricity distribution networks to continue to be dependable and safe, defects in subterranean cables must be accurately located and detected. An Arduino-based system to concurrently identify defects and determine their lengths in subterranean cables. Through the integration of sensors that are attached to Arduino boards with a networked system, we provide a framework for real-time monitoring that locates and quickly diagnoses defects in underground cables. Our method provides scalable, easily implementable, and reasonably priced solutions. To improve the effectiveness of cable fault management, we suggest an integrated system that combines distance localization methods with fault detection systems. Our integrated system, which combines cutting-edge technology with useful features to enhance operational effectiveness and safety across power distribution networks, provides a comprehensive solution for subterranean cable fault detection.

 

References

Detection of Underground cable fault using Arduino and GSM module‖, P. Hari chandana, M. Venkataramana, K. Satyanarayan, P. Yogendra, Srinivasa Acharya, IJIRT, Vol.5 Issue 11, April 2019.

Underground Cable Fault Detection using Raspberry Pi & Arduino‖, R.K. Raghul Mansingh, R. Rajesh S. Ramasubramani, G. Ramkumar, IJETER, Vol.5 Issue 04, April 2017.

Under Ground Cable Fault Detection Over IOT‖, Durgesh Pathak, Mithil Rathod, Sandeep Vishvakarma, Harindar Maurya, Mahalaxmi Palinje, IJERT, Vol.5 Issue 01

Arduino Based Underground Transmission Cable Fault Location System‖, Roshani Shingrut, Dakshata Mokal, Shubham Shelar, Shekar Mhatre, IJERT, Vol.9 Issue 02, February 2020.

Underground Cable Fault Location‖, B. Clegg. New York: McGraw-Hill, 1993. [6]. ―Underground Cable Fault Detection using Arduino‖, T. Nandhin J. Shalini, T. Sai Sangeetha, IJESC, Vol.7, Issue 04, April 2017.

Dada, E., Alkali, A., Joseph, S., and Sanda, U. (2019). Design and Implementation of Underground Cable Fault Detector. International Journal of Science and Engineering Investigations, 8(87),

–52.

Sethi, K., Bhambri, S., and Dubey, B. (2019). Underground Cable Fault Distance Locator. International Journal of Scientific Development and Research, 4(4), 17–20.

Shukla, A., Sable, H., and Bhagat, S. (2020). Underground Cable Fault Detection System Using GSM and GPS. Journal of Emerging Technologies and Innovative Research, 7(5), 958–961.

Singh AP, Singh PK, Yadav S, Yadav A. Underground Cable Fault Detection Using Arduino.

Patil RS, Jathade P, Ambavane A. Underground cable fault detection using Arduino and IoT (Internet of Things). International Research Journal of Innovations in Engineering and Technology. 2020 Jun 1;4(6):88.

Published

2024-06-14

Issue

Section

Review Article