Effi Street: IoT-Driven Urban Illumination by Enhancing Energy Efficiency in Street Lighting
Year: 2024
Type: article
Abstract: In urban areas, street lighting is essential for ensuring safety and visibility, but it often leads to significant energy wastage and high electricity costs. Traditional manual streetlight systems remain powered throughout the night, regardless of natural light availability, resulting in unnecessary consumption. To address these challenges, this project introduces an IoT-Based Smart Street Light Management System. This system leverages IoT technology to conserve energy, reduce electricity wastage, and minimize manual intervention. Key components include energy-efficient LED lights with adjustable brightness, a DHT11 Temperature-Humidity sensor for real-time environmental data, and a programmed Arduino board for intelligent light intensity regulation. By optimizing streetlight operation, this IoT-enabled solution offers enhanced energy efficiency and performance compared to traditional systems, benefiting both the environment and the economy.
Author: Kaushalya Thopate
Language: English
Topic: Arduino and IoT Applications
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4407043854