Efficient Weather-Adaptive Smart Lighting System: Analysis of LED Performance at Different Operating Conditions and Sensor Input Signals

International Journal of Electrical and Electronics Engineering

© 2024 by SSRG - IJEEE Journal

Volume 11 Issue 6

Year of Publication : 2024

Authors : Tanumay Halder, Biswanath Roy

10.14445/23488379/IJEEE-V11I6P119

How to Cite?

Tanumay Halder, Biswanath Roy, "Efficient Weather-Adaptive Smart Lighting System: Analysis of LED Performance at Different Operating Conditions and Sensor Input Signals," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 6, pp. 167-181, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I6P119

Abstract:

Improving visibility on streets is crucial for maintaining traffic speed, reducing accidents, and boosting confidence in adverse weather like fog and rain. This research introduces a unique approach to enhance visibility during such conditions by adjusting the CCT of LED lights from 6500K to 2700K. The system collects data from weather APIs and rain sensors to change the color of RGB LEDs on the street surface, while PIR sensors adjust the brightness based on detected objects. During fog and rain, the system shifts to 2700K CCT, reverting to 6500K in normal weather. Graphical plots depict the current, voltage, and power data of the LEDs alongside sensor signal capturing. A prototype confirms the proper functionality of the control logic. Electrical parameters of LED consumption show no change despite color adjustment, highlighting energy efficiency as brightness decreases in the absence of objects. Results demonstrate the responsive nature of the prototype, significantly boosting user confidence on streets in adverse weather.

Keywords:

Streetlighting, Rain, Fog, XBee, Visibility.

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