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Paper ID:IJSREM64904

IoT-Based Energy Efficient Smart Railway Station Lighting System using STM32

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM64904

Volume:

10 |

6 |

Jun 2026

Pages:

1-8

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM64904

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Ved Rajesh Parsharam

Ved Rajesh Parsharam

Department of Electronics and Telecommunication Engineering

JSPM Narhe Technical Campus, Pune

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Piyush Pramod Nimbarte

Piyush Pramod Nimbarte

Department of Electronics and Telecommunication Engineering

JSPM Narhe Technical Campus, Pune

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Akshay Uttam Kamble

Akshay Uttam Kamble

Department of Electronics and Telecommunication Engineering

JSPM Narhe Technical Campus, Pune

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Mentors

Prof. R. P. Khadse

Prof. R. P. Khadse

Department of Electronics and Telecommunication Engineering

JSPM Narhe Technical Campus, Pune

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Abstract

This paper presents an IoT-based smart railway station lighting system utilizing STM32 microcontrollers and LoRa communication for energy-efficient urban infrastructure management. The system integrates PIR motion sensors and LDR light sensors to enable three-level adaptive dimming based on ambient conditions and human presence, achieving 60-70% energy savings compared to conventional always-on lighting. Real-time power monitoring via INA219 sensors provides comprehensive energy tracking and predictive maintenance capabilities, while a hybrid architecture combining 12V solar panels, rechargeable batteries, and grid connectivity ensures reliable 24/7 operation. An ESP32-based gateway enables WiFi cloud integration for remote monitoring through a web dashboard with real-time analytics, motion event logging, and automated alerts. The LoRa protocol (SX1278 modules) provides long-range wireless networking up to 10 km, making the system suitable for large-scale smart city deployments. Advanced features include watchdog timers, DS3231 RTC scheduling, OLED status displays, and unique lamp identification for scalable multi-node management. This cost-effective solution addresses growing demands for sustainable urban lighting with reduced operational costs and comprehensive data-driven optimization.

KEYWORDS

IoT STM32 Railway Station Lighting LoRa Smart Lighting Energy Efficiency

Cite This Article

Ved Rajesh Parsharam, Piyush Pramod Nimbarte, Akshay Uttam Kamble, Prof. R. P. Khadse, "IoT-Based Energy Efficient Smart Railway Station Lighting System using STM32," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-8, Jun 2026. https://doi.org/10.55041/IJSREM64904

Full Article/Conclusion

The proposed system successfully demonstrates an IoT-based intelligent lighting solution for railway stations that enhances energy efficiency and automation. By integrating STM32 microcontrollers, PIR and LDR sensors, and LoRa communication, the system ensures reliable and intelligent lighting control. The incorporation of solar power and battery management promotes renewable energy utilization and reduces dependency on grid electricity. Real-time monitoring and control through the ESP32-based web dashboard enable efficient management from remote locations. The system achieves automatic day/night operation, motion-based illumination, and energy consumption tracking for optimized performance. It reduces manual intervention, operational costs, and unnecessary energy wastage. The modular architecture allows easy scalability across multiple railway platforms. Data logging and analytics enable performance assessment for long-term sustainability. Overall, this project contributes to the development of a smart, sustainable, and eco-friendly railway lighting infrastructure aligned with modern smart city goals.

References

[1] Wu, L., Zhang, Y., and Wang, G., “IoT-Enabled Intelligent Lighting System Based on STM32 and MQTT Protocol,” IEEE Access, Vol. 10, pp. 13456–13464, 2022. DOI: 10.1109/ACCESS.2022.3145623 [2] Meihua Xu, Yujie Zhang, and Guoqin Wang, “Smart Streetlight Monitoring System Using STM32F101C8T6 and GPRS Communication Modules,” International Journal of Embedded Systems and Applications (IJESA), Vol. 11, Issue 2, pp. 1–8, 2021. DOI: 10.5121/ijesa.2021.11201   [3] Qu, T., Li, B., and Chen, J., “Design of a Smart Street Lighting Control System Based on STM32 and LoRa Communication,” Sensors, Vol. 20, No. 17, p. 4805, 2020. DOI: 10.3390/s20174805   [4] Ding Zhou, “Intelligent LED Lighting Management System Using STM32 with Bluetooth and Voice Command,” Journal of Engineering Science and Technology Review, Vol. 12, Issue 5, pp. 93–99, 2019. DOI: 10.25103/jestr.125.13   [5] S. I. Kazmi, H. S. Kim, and K. Y. Park, “IoT-Based Street Lighting and Air Quality Monitoring for Smart Cities,” IEEE Internet of Things Journal, Vol. 8, Issue 7, pp. 5558–5567, 2021. DOI: 10.1109/JIOT.2021.3056243   [6] J. Park, S. Lee, and H. Kim, “Smart Lighting Control System for Railway Tunnels Using IoT and Sensor Networks,” IEEE Transactions on Industrial Informatics, Vol. 16, No. 8, pp. 5312–5321, 2020. DOI: 10.1109/TII.2020.2964589   [7] N. Maslekar and A. Patil, “Automated Lighting Control Using IoT and Raspberry Pi for Energy Saving in Institutions,” International Research Journal of Engineering and Technology (IRJET), Vol. 9, Issue 6, pp. 1549–1554, June 2022.   [8] Le Minh Phuong, Tran Huy Dat, and Nguyen Quoc Dinh, “Smart Street Lighting System Based on LoRa for Energy Efficiency,” IEEE Access, Vol. 8, pp. 136489–136498, 2020. DOI: 10.1109/ACCESS.2020.3012341   [9] Aastha R. and P. Sharma, “IoT-Based Automation of Railway Station Lighting and Monitoring System,” International Journal of Engineering Research & Technology (IJERT), Vol. 10, Issue 9, pp. 48–53, 2021. [Online]. Available: https://www.ijert.org/iot-based-automation-of-railway-station-lighting-and-monitoring-system   [10] V. Singh and M. Yadav, “Energy-Efficient IoT Lighting System for Public Infrastructure Using STM32 and LoRa,” IEEE Sensors Journal, Vol. 23, Issue 5, pp. 4312–4321, 2023. DOI: 10.1109/JSEN.2023.3246551

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Publication Date

6/13/2026

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Review Rounds: 2

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