Analysis of System Response, Energy Savings, and Fault Detection in a Weather and Traffic-Adaptive Smart Lighting System

International Journal of Electrical and Electronics Engineering

© 2024 by SSRG - IJEEE Journal

Volume 11 Issue 6

Year of Publication : 2024

Authors : Tanumay Halder, Arnab Gain, Sudip Kumar Adhikari, Biswanath Roy

10.14445/23488379/IJEEE-V11I6P123

How to Cite?

Tanumay Halder, Arnab Gain, Sudip Kumar Adhikari, Biswanath Roy, "Analysis of System Response, Energy Savings, and Fault Detection in a Weather and Traffic-Adaptive Smart Lighting System," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 6, pp. 205-223, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I6P123

Abstract:

In the era of smart lighting systems, it is essential to save energy without sacrificing the quality of light. The main aim of this research work is to develop a wireless LED street lighting system that incorporates smart control techniques to maintain appropriate light levels over street surfaces in response to variations in object speed and to improve visibility during foggy conditions. In this control scheme, the main microcontroller senses the daylight level and collects data on fog from a third-party weather API. If fog is detected, the system adjusts the LEDs from cool white to warm white to improve visibility. Additionally, the system detects the presence of objects or pedestrians; if an object is present, it increases brightness depending on the speed of the object up to 100% of LED light. Otherwise, it reduces the LED brightness to 25%. The system also includes fault detection by monitoring the lamp voltage and current to determine if any LED light is faulty, providing timely maintenance alerts. This smart control system ensures energy efficiency and optimal lighting conditions, adapting dynamically to both environmental and situational changes, thereby enhancing safety and visibility on the streets.

Keywords:

Energy efficient, Fault detection, Streetlight, Traffic adaptive, Weather adaptive, XBee.

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