Journal of ISMAC
IRO Journals
Volume 6 — Issue 3 — September 2024

Intelligent Street Lighting: An IoT-based System for Adaptive Brightness and Fault Management

https://doi.org/10.36548/jismac.2024.3.003
Pages: 227-239
PDF
Sasidevi S.
Assistant Professor, Department of ECE, Knowledge Institute of Technology
Vasanthi M.
Assistant Professor, Department of ECE, Knowledge Institute of Technology
Ganeshkumar J.
UG Students, Department of ECE
Kamalesh V.
UG Students, Department of ECE
Naveenkumar G.
UG Students, Department of ECE, Knowledge Institute of Technology
Ajithkumar S.
UG Students, Department of ECE, Knowledge Institute of Technology
PDF

How to Cite

S., Sasidevi, Vasanthi M., Ganeshkumar J., Kamalesh V., Naveenkumar G., and Ajithkumar S. 2024. “Intelligent Street Lighting: An IoT-Based System for Adaptive Brightness and Fault Management”. Journal of ISMAC 6 (3): 227-39. https://doi.org/10.36548/jismac.2024.3.003.
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver AMA

Download Citation

Endnote/Zotero/Mendeley (RIS) BibTeX

Keywords

— IoT (Internet-of-Things)
— Adaptive lighting
— Fault detection
— Real-time data
— LDR (Light-Dependent Resistor)
— Street lighting Automation
— IR sensor (Infrared sensor)
— GPS module
Published: 10-07-2024

Abstract

The research aims to develop an intelligent fault detection and control system for street lights using an STM32 microcontroller and Internet of Things (IoT) technologies. The system uses various sensors and communication methods to manage lighting more effectively and maintain infrastructure better. Light-Dependent Resistors (LDRs), which turn lights on automatically at nightfall and off at dawn, are essential to the system's operation. Moreover, motion is detected by the infrared (IR) sensors on the street, allowing the lighting to save energy by dimming during times of low traffic and brightening when movement is detected. By using control logic and sensor readings, a relay functions as an electronically controlled switch to turn the lights on and off. To process sensor data, the STM32 microcontroller is used in the main functionality. Energy savings are facilitated by the automated on/off switching based on ambient light levels, enabled by the LDR sensor data. In addition, the device includes a GPS module for precise street light location tracking. An IoT platform transmits this location data as well as operational status and real-time sensor readings. Maintenance staff can access regional data on light quality and sensor readings through an LCD display. This extensive data enables maintenance team to focus better, use resources efficiently, and enable remote monitoring and fault identification (e.g., burned-out bulbs). This Internet-of-Things (IoT) system provides an economical and environmentally friendly approach to efficient street light management by integrating automation, remote control, and real-time monitoring.

References

  1. Khade, Dhiraj Ramchandra, Nitish Vasudev Gajane, Suraj Namdev Gawade, and Rajanikant A. Metri. "Intensity controller of LED street lights." In 2017 International Conference on Circuit, Power and Computing Technologies (ICCPCT), pp. 1-4. IEEE, 2017.
  2. Vijayan, M. "Automatic street light control system using wsn based on vehicle movement and atmospheric condition." International Journal of communication and computer Technologies 5, no. 1 (2017): 6-11.
  3. Al-Smadi, Adnan, Salam Salah, Areen Al-Momani, and Majd Al-Bataineh. "Intelligent Street Lighting Energy-Saving System Based on Climate Conditions and Vehicle’s Movements." Jurnal Kejuruteraan 33, no. 1 (2021): 147-153.
  4. Tara, Kusum, Md Hasibul Islam, and Mst Mousumi Khatun. "Ultrasonic Sensor based Efficient and Energy Saving Street Lighting System." In 2020 IEEE Region 10 Symposium (TENSYMP), pp. 1321-1324. IEEE, 2020.
  5. Pradeep, R., S. Sobiya, Nukala Kavya, and Vuddanti Keshuvardhan. "Automated Fault Detection and Location Monitoring of Street Lights in Smart Cities." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 05 (2024): 1441-1446.
  6. Arjun, P., S. Stephenraj, N. Naveen Kumar, and K. Naveen Kumar. "A study on IoT based smart street light systems." In 2019 IEEE international conference on system, computation, automation and networking (ICSCAN), pp. 1-7. IEEE, 2019.
  7. Bhavadeesh, R., P. Traun Chandra Kumar, D. Srinivas, and R. Krishnaveni. "IoT based smart street lighting system for smart city." In 2021 5th International Conference on Information Systems and Computer Networks (ISCON), pp. 1-3. IEEE, 2021.
  8. Padmini, M. S., R. Rajkumar, S. Kuzhalivaimozhi, Shivraj S. Galagali, and Koushik N. Reddy. "Energy Efficient Smart Street Lighting System." In 2022 International Conference on Artificial Intelligence and Data Engineering (AIDE), pp. 162-170. IEEE, 2022.
  9. U. Khayam and A. Zaeni, "Review of Smart Street Lighting Research in Indonesia," 2022 5th International Conference on Power Engineering and Renewable Energy (ICPERE), Bandung, Indonesia, 2022, pp. 1-4
  10. Bhagavan, K., S. Sai Saketh, G. Mounika, M. Vishal, and M. Hemanth. "IOT based intelligent street lighting system for smart city." International Journal of Engineering Technology 7, no. 32 (2018): 345-347.
  11. Ranjitha, L., KS Ananda Kumar, H. L. Kavitha, K. R. Harshitha, and C. Manisha. "Development of smart street light system and density based traffic system using Internet of Things." In 2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), pp. 247-251. IEEE, 2020.
  12. Suresh, M., M. S. Anbarasi, and V. PraveenKumar. "An intelligent smart street light system with predictive model." In 2020 International Conference on System, Computation, Automation and Networking (ICSCAN), pp. 1-4. IEEE, 2020.
  13. Saha, Dipanjan, Sk Mahammad Sorif, and Pallav Dutta. "Weather adaptive intelligent street lighting system with automatic fault management using Boltuino platform." In 2021 International Conference on ICT for Smart Society (ICISS), pp. 1-6. IEEE, 2021.
  14. Karthikeyan, P., M. Karthik, V. Deepikapriya, S. Divya Briya, R. Dharanishwarma, and S. Janakirthick. "Design and implementation of smart street light automation and fault detection system." In 2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC), pp. 1-7. IEEE, 2022.
  15. Sravanthi, I., and Venkateswara Rao Ch. "Arduino based smart street light system." In 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), pp. 657-660. IEEE, 2021.
  16. Singh, Munesh, Suyash Saxena, and Alok Ranjan Prusty. "Energy Efficient Intelligent Lighting System For Smart Cities." In 2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), pp. 1-6. IEEE, 2022.