International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 04 | Apr 2023
p-ISSN: 2395-0072
www.irjet.net
SMART STREET LIGHTING AND MONITORING SYSTEM BASED ON SUNLIGHT INTENSITY DETECTION USING IOT AND CLOUD Kavitha G L1, Mohammed Akber Khan2, Sai Charan S3, Satish K4 1Assistant Professor, Dept. of Information Science and Engineering, Bangalore 234Student, Dept. of Information Science and Engineering, Bangalore, Karnataka, India
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Abstract - The aim of the smart street lighting system
As a result, there will be a decrease in carbon dioxide emissions, power usage, maintenance and replacement expenses, and heat emissions. This project has the potential to save a lot of energy. The Internet of Things (IoT) will be used to create the implementation process, which will display the street light system's real-time updates and alert users to any modifications that are made.
using IOT is the preservation of energy by dropping electricity consumption as well as to diminish the work force. Streetlights are the rudimentary part of any city since it eases better night visions, protected roads, and experience to community areas nonetheless it devours a impartially huge amount of electricity. In the labor-intensive streetlight system lights are power-driven from dusk to dawn with thoroughgoing intensity even when there is adequate light available. This energy wastage can be dodged by switching off lights automatically. This can be accomplished using an IOT enabled streetlight managing system. The main purpose of this project is to design an automated street lighting system which senses the sunlight intensity in its surrounds and automatically switches on and off depending on the sunlight intensity. The IOT based smart street lighting system also directs the data from the sensors to an open cloud server for monitoring and visualization. The working principle of the smart street lighting system is wholly controlled by microcontroller. It controls working of all the components. We can program the microcontroller and control the working of all the components to detect the light intensity, switch the lights on and off accordingly and send the data to the cloud server. We also focus on using LED lights instead of the HID lamps to improve the lifespan and reduce energy consumption.
To gather data from the sensors and provide visualizations based on the incoming light intensity, the threshold that has been set, and the starting light intensity with regard to time, we will be using an open cloud server called Thing Speak API in this project. We can more effectively monitor and maintain the street lights with the help of this data and visualizations.
2. LITERATURE REVIEW Fathima Dheena, Greema S Raj,Gopika Dutt, Vinila Jinny[1]presented a review of researches done on the subject of Street Light automation. It included LED lights, LDR sensors, Arduino Nano and DHT11 TemperatureHumidity sensor. This delivers the precise temperature and humidity of a particular region. The street lights are turned off automatically based on the readings from these sensors. The projected work has attained an improved performance compared to the present system.
Key Words: Microcontroller, Cloud Server, IOT, Sunlight intensity detection, LED.
Sk Mahammad Sorif, Dipanjan Saha, Dipanjan Saha [2] In this paper, a streetlight control system built on the Bolt IoT platform is presented. This project's goal is to conserve energy by cutting down on wasted electricity and labour. The plan makes use of Light Emitting Diodes (LED). After detecting the density and movement of vehicles, IR sensors placed along the roadside give signals to the LEDs to begin shining for the next particular segment of the road. When compared to the current systems, the proposed work has produced better results.
1. INTRODUCTION The chief reflection in present field technologies are Automation, Power usage and cost efficiency. Automation is envisioned to lessen man power with the assistance of intelligent systems. Power saving is the main attention forever as the source of the power are getting weakened due to several reasons. This project aims to define a way for adjusting and automating street light illumination by using sensors at minutest electrical energy consumption. When incidence of sunlight is not sensed, all surrounding street lights glow at their brightest mode, and when the presence of sunlight is detected the bulbs will automatically turn off.
Seher Kadirova, Teodor Nenov, Daniel Kajtsanov [3] By only switching on the lights through the darkest hours of the day, the goal is to maximize energy efficiency. The time for switching on and off the lights varies depending on the day of the year using GPS coordinates and the sun's trajectory.
The use of LED lights is required because they outperform traditional incandescent lamps in every way.
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