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Smart Street Light System Using IoT
Subject area: Science,Engineering and Technology · Area of research: IoT
Abstract
In several cities, street lighting stands as a significant cost, primarily due to the high power consumption of sodium vapour lights. This results in enormous expenses, which could be better utilised for the country's overall growth. Manual control of street lights, typically during the evening and morning, leads to significant energy loss when switching between ON and OFF states. Implementing an autonomous system presents several advantages, including reduced electricity wastage and substantial cost savings. This research paper introduces a computerised framework for automating park lamps, aimed at conserving energy. The proposed smart park lamp system aims to minimise energy usage through two approaches: turning off lamps during daylight hours and activating them only when brightness levels reach a defined minimum threshold, as well as reducing lamp intensity when no one is present in the park after sundown. Sensors attached to the lamp detect the presence of individuals, resulting in increased intensity, while the lamp dims to a low intensity when the sensors no longer detect anyone. This methodology promises significant energy savings and eliminates a considerable amount of manual labor.
References
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[3] “Dr. Madan Lal Saini, Poyam Sharam; Pratichi Gaur; Aarushi Rawat “ “A More Advanced And Intelligent Approach For Street Lightning System Using Iot ”; June 2022
[4] “Prakhar Maheshwari; Monika Agrawal; Dr. Vishal Goyal; Dr. Vinay Kumar Deolia” “Smart Automatic Street Light With Woman Protection System”; August 2020
[5] “Archana. G; Aishwarya N; Anitha J” “Intelligent Street Light System, Vol-3, The International Journal of Recent Advances in Engineering & Technology”; Issue-4, 2015.
[6] “AkshayBalachandran; Murali Siva; V. Parthasarathi;” Surya and Shriram K. Vasudevan” “An Innovation in the Field of Street Lighting System with Cost and Energy Efficiency”Vol-8,Indian Journal of Science and Technology, August 2015
[7] “DeepanshuKhandelwal; Bijo M Thomas; Kritika Mehndiratta; Nitin Kumar” “Sensor Based Automatic Street Lighting system” Volume-2, IJESR Review Issue-2 April- 2015 .
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[10] “Dr. Rakesh Chowdhury”, “Light-intensity- regulated street lighting system”, December 2022
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[12] “Mrs. D. Latha, Mr. Prashanth Kumar Reddy, Dr. G. Divya, Bhasker Dappuri”, “Automatic street light on and off technology based on vehicle movement”, September 2022
[13] “Tapas Kumar Mishra, Abinash Pujahari, Kshira Sagar Sahoo, Sambit Kumar Mishra”, “A system and a method for controlling smart street lights”, August 2022
[14] “Dr. Santosh Kishan Narayankhedkar, Dr. Ranjeet Singh Tomar, Dr.Sadhana Mishra”, “Implementation of IoT based smart street light monitoring and controlling system”, September 2022
[15] “Dr. Madan Lal Saini, Poyam Sharam, Pratichi Gaur, Aarushi Rawat”, “A more advanced and intelligent approach for street lightning system using iot”, June 2022
How to cite this paper
@article{1704501,
author = {Aneeket Kumar, Abhinandan Vashisht, Charvi Verma},
title = {Smart Street Light System Using IoT},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {6},
number = {11},
pages = {559-563},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1704501.pdf},
abstract = {In several cities, street lighting stands as a significant cost, primarily due to the high power consumption of sodium vapour lights. This results in enormous expenses, which could be better utilised for the country's overall growth. Manual control of street lights, typically during the evening and morning, leads to significant energy loss when switching between ON and OFF states. Implementing an autonomous system presents several advantages, including reduced electricity wastage and substantial cost savings. This research paper introduces a computerised framework for automating park lamps, aimed at conserving energy. The proposed smart park lamp system aims to minimise energy usage through two approaches: turning off lamps during daylight hours and activating them only when brightness levels reach a defined minimum threshold, as well as reducing lamp intensity when no one is present in the park after sundown. Sensors attached to the lamp detect the presence of individuals, resulting in increased intensity, while the lamp dims to a low intensity when the sensors no longer detect anyone. This methodology promises significant energy savings and eliminates a considerable amount of manual labor.},
month = {May},
}