Ajay V G,
Tejashwini N,
Bhuvan P,
V. Sai Likhith,
Prajwal Skanda S,
Vaibhav Kulkarni,
- Associate Professor, SVIT, CSE Department, Bengaluru, Karnataka, India
- Associate Professor, SVIT, CSE Department, Bengaluru, Karnataka, India
- Student, SVIT, CSE Department, Bengaluru, Karnataka, India
- Student, SVIT, CSE Department, Bengaluru, Karnataka, India
- Student, SVIT, CSE Department, Bengaluru, Karnataka, India
- Student, SVIT, CSE Department, Bengaluru, Karnataka, India
Abstract
‘]
Street lighting is vital in urban centers for ensuring public safety, enhancing security, and promoting energy efficiency. However, traditional lighting systems often lack adaptability and responsiveness, leading to increased energy consumption and higher operational costs. To address these challenges, this preliminary report introduces an innovative IoT-driven smart lighting control system utilizing Bolt WiFi module technology. This smart lighting system marks a significant advancement in urban lighting management. By integrating IoT capabilities, the system offers dynamic control over street lighting, allowing for real-time adjustments based on environmental conditions and human activity. This adaptability ensures that lighting is used only when necessary, optimizing energy consumption and reducing waste. The Bolt WiFi module is crucial in this setup, providing reliable connectivity for the smart lighting network. This technology enables seamless communication between streetlights and central control systems, facilitating immediate responses to environmental changes or usage patterns. For instance, the system can dim lights during low-traffic periods or brighten them in response to increased pedestrian activity, enhancing both safety and energy efficiency. Implementing this smart lighting solution can lead to substantial cost savings. By reducing unnecessary energy use, cities can lower their electricity bills and maintenance costs associated with traditional lighting systems. Additionally, data collected by IoT sensors can be analyzed to optimize lighting schedules and maintenance routines, contributing to long-term sustainability. In conclusion, the IoT-driven smart lighting control system with Bolt WiFi module technology offers a promising solution to the challenges of conventional street lighting, supporting urban centers in their pursuit of safety, security, and sustainability
Keywords: Smart lighting control system, bolt wi-fi module technology, innovative approach, revolutionize, urban lighting management
[This article belongs to Journal of Thin Films, Coating Science Technology & Application (jotcsta)]
Ajay V G, Tejashwini N, Bhuvan P, V. Sai Likhith, Prajwal Skanda S, Vaibhav Kulkarni. A Comprehensive Study on IOT Based Smart Street Light Management System Using Dynamic Brightness Control. Journal of Thin Films, Coating Science Technology & Application. 2024; 11(01):10-15.
Ajay V G, Tejashwini N, Bhuvan P, V. Sai Likhith, Prajwal Skanda S, Vaibhav Kulkarni. A Comprehensive Study on IOT Based Smart Street Light Management System Using Dynamic Brightness Control. Journal of Thin Films, Coating Science Technology & Application. 2024; 11(01):10-15. Available from: https://journals.stmjournals.com/jotcsta/article=2024/view=175283
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References ‘]
- Sk Mahammad Sorif, Dipanjan Saha ; Pallav Dutta “Smart Street Light Management System with Automatic Brightness Adjustment Using Bolt IoT Platform.” 21-24 April 2021Toronto, ON, Canada Electronics and Mechatronics Conference (IEMTRONICS).
- Ruchika Prasad ” Energy Efficient Smart Street Lighting System in Nagpur Smart City using IoT-A Case Study” 20-23 April 2020 , Paris, France 2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC).
- Sahar Sadri ; Alireza Fereidunian “Design and Development of a Prototype Maquette for Smart Adaptive Street Lighting System “13-15 December 2022 Kerman, Iran, Islamic Republic 2022 12th Smart Grid Conference (SGC).
- Milena F. Pinto; Thiago R. F. Mendonça; Fabricio Coelho; Henrique A. C. Braga”Economic analysis of a controllable device with smart grid features applied to LED street lighting system” 03-05 June 2015 Buzios, Brazil 2015 IEEE 24th International Symposium on Industrial Electronics (ISIE).
- Vaibhav Naware; Aditya Gupta; Ushasree Mogadali; Anuradha Vattem; Aftab M. Hussain ” Smart Street Light System using Wi-SUN and oneM2M “22-24 January 2024 Goa, India 2024 IEEE Applied Sensing Conference (APSCON).
- Sultanabanu Sayyad Liyakat, (2024). IoT-based Alcohol Detector using Blynk, Journal of Electronics Design and Technology, 1(1), 10-15 Mishra Sunil B., et al. (2024). Review of the Literature and Methodological Structure for IoT and PLM Integration in the Manufacturing Sector, Journal of Advancement in Machines, 9(1), 1-5
- Prashant K Magadum (2024). Machine Learning for Predicting Wind Turbine OutputPower in Wind Energy Conversion Systems, Grenze International Journal of Engineering and Technology, Jan Issue, Vol 10, Issue 1, pp. 2074-2080. Grenze ID: 01.GIJET.10.1.4_19. Mishra Sunil B., et al. (2024). AI-Driven IoT (AI IoT) in Thermodynamic Engineering, Journal of Modern Thermodynamics in Mechanical System, 6(1), 1-8.
- Sayyad Liyakat (2024). Impact of Solar Penetrations in Conventional Power Systems and Generation of Harmonic and Power Quality Issues, Advance Research in Power Electronics and Devices, 1(1), 10-16.
- Gopinath, dr. Princess maria john, iot based smart street light system. International advanced research journal in science, engineering and technology, vol. 11, issue 5, may 2024, p: 541-590Doi: 10.17148/iarjset.2024.11580
| Volume | 11 |
| Issue | 01 |
| Received | June 25, 2024 |
| Accepted | June 28, 2024 |
| Published | July 9, 2024 |