IoT-Based Brightness Control of LED Lighting for Industrial Applications

This paper presents an IoT-based intelligent lighting system designed to automatically adjust LED brightness in industrial environments according to ambient light conditions and operational requirements. The system utilizes the ESP8266 NodeMCU microcontroller to establish WiFi connectivity and implement Pulse Width Modulation (PWM) for precise control of LED panels. By dynamically adjusting illumination levels based on natural light availability and operational needs, the system significantly reduces energy consumption while maintaining optimal lighting conditions for worker productivity and safety. Testing conducted in a 14×12 feet industrial space demonstrated substantial energy savings compared to conventional lighting systems. The proposed solution offers remote monitoring capabilities, scalability, and integration with existing industrial infrastructure, making it a cost-effective approach to enhancing energy efficiency in industrial lighting applications

Authors

Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-04-02
DOI
https://doi.org/10.48175/ijarsct-24802
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IoT-Based Brightness Control of LED Lighting for Industrial Applications

Pallavi Makde, Aditya Ghaturle, Krish Adbadiya, U. E. Hiwase
International Journal of Advanced Research in Science Communication and Technology
Impact of Light on Environment and Health
article

IoT-Based Brightness Control of LED Lighting for Industrial Applications

Pallavi Makde, Aditya Ghaturle, Krish Adbadiya, U. E. Hiwase
article en

Abstract

This paper presents an IoT-based intelligent lighting system designed to automatically adjust LED brightness in industrial environments according to ambient light conditions and operational requirements. The system utilizes the ESP8266 NodeMCU microcontroller to establish WiFi connectivity and implement Pulse Width Modulation (PWM) for precise control of LED panels. By dynamically adjusting illumination levels based on natural light availability and operational needs, the system significantly reduces energy consumption while maintaining optimal lighting conditions for worker productivity and safety. Testing conducted in a 14×12 feet industrial space demonstrated substantial energy savings compared to conventional lighting systems. The proposed solution offers remote monitoring capabilities, scalability, and integration with existing industrial infrastructure, making it a cost-effective approach to enhancing energy efficiency in industrial lighting applications

International Journal of Advanced Research in Science Communication and Technology
Openalex Percentile: Top 92%
Impact of Light on Environment and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.