As the countries become industrial, the pollution level to our environments will increase and this pollution becomes a
significant downside for the health of the population and additionally affects the scheme. In this paper a model based on (internet of
things) IOT is proposed with the aim to monitor pollution level. The most serious environment pollution is air pollution because diverse
air pollutant causes harm to human health and causes global warming. The pollution monitoring system is extremely vital to keep away
from such adverse imbalance in nature. With the speedy growth in the industries which are the main sources of pollutants, the problem of
pollution is becoming a serious concern for the health of the population. The proposed outline includes a set of sensors like gas sensors,
noise detector, fire sensor and ultrasonic sensor as hardware having Arduino platform with the combination of software architecture for
"anytime anywhere" observance and management of pollution information through one web-based graphical malicious program. IOT is
the "framework of the information society it embodies efficiency, correctness, and economic benefits."
Published In:IJCSN Journal Volume 8, Issue 5
Date of Publication : October 2019
Pages : 406-412
Tables : 01
Supriya S. Shinde :
Department of Electronics Engineering, S.S.V.P.S B.S.D. College of Engineering Dhule,
North Maharashtra University, Maharashtra, India.
Pravin. S. Patil :
Head of Department of Electronics and Telecommunication Engineering, S.S.V.P.S B.S.D. College of Engineering Dhule,
North Maharashtra University, Maharashtra, India.
pollution monitoring, internet of things(IOT), gas sensors, noise detector, fire sensor, ultrasonic sensor, Arduino
The proposed system 'IOT based pollution monitoring
System' shall provide the smart solution regarding air and
noise pollution in addition to fire detection and
overflowing of waste bins. The ideas proposed in this
paper will prove to be a good module for creating the
infrastructure for the smart city. This review helps in
identifying all possible smart pollution monitoring
methods that can be implemented to make city clean. In
future, the system can also implement the Google map
which is used for live map view of pollution level.
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