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An intelligent streetlight management system based on LED lamps, designed to facilitate its deployment in existing facilities. As street lights and traffic signals are crucial part of our day to day life this research focuses on two important aspects of this. First one is An Intelligent streetlight management system based on LED lamps which provides a smart and intelligent system for saving of nonrenewable sources of energy. Second important aspect implemented in this research work deals with the flow of traffic and the pollution levels at various places by monitoring the fundamentals of the air quality controls.
Internet of Things, Air Quality Monitoring, Cloud Computing, Arduino Uno
In this changing rapidly changing world automation has become a vital part for the growth of the economy and by the availability of new technologies it has added for reducing human efforts and maximizing the efficiency of the work.
As now a days new technologies are coming up and the needs of the people are changing rapidly, the automation in this world is leading to urbanization in various cities. Various cities are growing rapidly in and out to cater the needs. Due to urbanization it is leading to the exhaustion of nonrenewable sources of energy. So, to make the development sustainable, we need to make our cities smart by implementing new methods to curb the exploitation of our resources.
At the beginning, streetlights were controlled manually. After that, sodium vapour lamps came and some are still existing in almost all localities. The problem with these lights is the consuming power of these lights. Since the resources are declining each day, the problem has to be solved. So, the idea of shifting to LED streetlights which helps in saving up to 50% of our energy. Also by implementing smartly into the growing cities we can save even more energy by intelligent systems as implemented in our system.
By implementing Smoke sensor on a particular signal, the problem of pollution may be solved. The value of smoke will be used for diverting the traffic from the previous signals.
More the vehicles, the more the emission of carbon monooxide, hence resulting into more pollution. As the level of smoke detector increases, LCD display will show that the people are supposed to change direction so as the pollution level will be controlled. Also data analysis will help the traffic control That is taking into account the values of smoke at various intervals of time, it is easy to conclude that at what particular time the traffic must be controlled so as the avoid pollution.
The use of Internet of Things has allowed a wide range of applications regarding smart city implementations. This project will concentrate on two main aspects of smart city implementation. The first research effort taken in this project i.e. automated streetlight controller has significantly reduced the consumption of electricity. The street light system will help in regulating the smooth flow of traffic during the night time so as to avoid accidents due to absence of streetlights. Second is the emission control system that will allow us to regulate the traffic and also control pollution at the traffic signals.
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