Internet of Things-Based LED Driver Switch Mode Power Supply (SMPS) Monitoring System

DOI

10.2991/978-94-6463-920-9_23How to use a DOI?

Keywords

Switch Mode Power Supply; Internet of Things (IoT); LED Driver; Firebase

Abstract

The abstract should summarize the contents of the paper in short terms, i.e. 15–250 words. The advancement of lighting technology promotes efficient, durable, and energy-saving LED lamps for street lighting. However, monitoring LED drivers, particularly Switch Mode Power Supply (SMPS) systems, remains manual and inefficient. Voltage and current fluctuations can negatively impact lamp lifespan and system reliability. To address this, an Internet of Things (IoT)-based monitoring system was developed for real-time oversight, utilizing NodeMCU ESP32, PZEM-004T sensors, Firebase Realtime Database, and a mobile app built with MIT App Inventor. Testing assessed data accuracy and network quality, measuring throughput, packet loss, delay, and jitter using Wireshark. The monitoring system proved effective, with the PZEM-004T sensor achieving an average error rate of 1.19% for voltage at 5 m and 0.52% at 25 m, while current errors were 3.13% and 1.83%, respectively. The SMPS demonstrated the flyback converter's capability to stabilize DC voltage amid input variations, aided by the ESP32's duty cycle control. Monitoring data is logged in a Google spreadsheet, and network quality tests revealed a maximum throughput of 97.88 bits/s at 5 m with no packet loss, an average delay of 42ms, and jitter of 0.12ms. However, the quality declined beyond 30 m due to obstacles. Overall, the system efficiently and reliably supports SMPS-based LED driver supervision, achieving a TIPHON index value of 4, indicating excellent network quality.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Widjonarko Widjonarko
AU  - Indra Viktorrisman
AU  - Moch. Gozali
AU  - Widyono Hadi
AU  - Suprihadi Prasetyono
AU  - Muh. Asnoer Laagu
AU  - Devita Ayu Larasati
PY  - 2025
DA  - 2025/12/15
TI  - Internet of Things-Based LED Driver Switch Mode Power Supply (SMPS) Monitoring System
BT  - Proceedings of the International Conference on Recent Innovations in Sustainable Engineering Solutions 2025 (ICONRISES 2025)
PB  - Atlantis Press
SP  - 227
EP  - 242
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-920-9_23
DO  - 10.2991/978-94-6463-920-9_23
ID  - Widjonarko2025
ER  -