IOT Based Air & Sound Pollution Monitoring system using Raspberry pi

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1685
IOT Based Air & Sound Pollution Monitoring system using Raspberry pi
Abhishek S. Ghongade1, Tukaram S. Barure2, Chandrashekhar R. Ambure3, Prof. A. A.
Trikolikar4
1,2,3 B.E Student, Department of E&TC Engineering, Jspm’s Imperial College of Engineering & Research, Wagholi
Pune, India – 412207
4Assistant Professor, Department of E&TC Engineering, Jspm’s Imperial College of Engineering & Research,
Wagholi Pune, India – 412207
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract – Now a day’s air and noise pollution is rising
issue day by day thanks to increasing in Industries, no. of
vehicles, growing infrastructure etc. for that issue we've to
initial monitor the pollution and displayed it so we are able to
unfold awareness regarding air and noise pollution. during
this project we are using raspberry pi as a microcontroller for
processing the information collected by various sensing
elements like gas sensor, sound sensing element anddisplayed
it on monitor and uploaded to cloud system with facilitate of
Wi-Fi module that is gift within the raspberry pi so it store the
info to cloud and sends real time update on our mobile
through SMS. This acts as a warning to the authorities
regarding the pollution rate. A graph is premeditated
mistreatment the monitored values mistreatment issue speak
platform.
Key Words: Raspberry pi, Internet of Things, Sound sensor,
Temperature sensor, Gas sensor.
1. INTRODUCTION
Air and noise pollution could be a growing issue of late. it's
necessary to watch the air and noise pollutionlevelstomake
sure a healthy and safe atmosphere. With the fastincreasein
infrastructure and industrial plants, environmental
problems have greatly influenced the requirement of
sensible observation systems. thanks to its low price, high
potency and flexibility, web of Things (IoT) has become
extremely popular currently of late. web of Things (IoT)
permits interaction between devices and humans. It formsa
communication medium from human to machine.
Previously, knowledge collectors had to travel long
distances to the assorted locations to gather knowledge
when that the analysis was done. This was drawn-out and
time intense. But now, sensors and microcontrollers
connected to the web will create environmental parameter
observation additional versatile, correct and fewer time
intense. once the atmosphere Merges with sensors and
devices to self -protect and self -monitor it forms a sensible
atmosphere. Embedded intelligence makes the atmosphere
act with the objects. during this model, we tend to square
measure employing a Raspberry Pi 3B microcontroller,
which can have gas sensors and noise sensors connected to
that, to watch the unsteady environmental parameters.
2. RELATED WORK
There are numerous works that have been done related to
IOT based air and sound pollution monitoring Projects.
Varun Jain, Mansi Goel, Mukulika Maity, Vinayak Naik,
Ramachandran Ramjee proposea framework toestimateair
pollution for a given locality by using maximum advantages
of the existing infrastructure of monitoring stations.
Unfortunately, India still lacks the infrastructurerequired to
measure pollution at a granular scale.
Archit Aggarwal, Tanupriya Choudhary, Praveen Kumar
Proposes a fuzzy interface system for the calculation of AQI
using two pollutantswith eachhavingsixlinguisticvariables.
The traditional method used is linear interpolation where
only one pollutant is considered to calculate AQI.
Somansh Kumar, Ashish Jasuja present work, the air quality
Data from New Delhi, Mumbai, Chennai and Bengaluru has
been used. Initially, dimension reduction has been
performed on the data. After that, the data has been de-
seasonalized.
Arnab Kumar Saha1, Sachet Sircar2, Priyasha Chatterjee3
Proposed that in today's world,thecontinuousriseinair and
sound pollution has become a serious problem. Controlling
and carefully monitoring thesituationhasbecome necessary
in order to take the necessary steps to alleviatethesituation.
This research has proposed an IOT-based technique for
monitoring the air quality index and noise intensity of a
region.
Xuan Zhao, Siming Zuo, Rami Ghannam proposed that Air
pollution is becoming a more significantconcern,resultingin
a slew of environmental issues such as the fog-haze weather
phenomenon, which can be hazardous to human health.The
design and manufacturing of a portable sensory system for
air pollution monitoring that can detect temperature,
humidity, and particle matter is the topic of this research
(PM).
Manisha Sharma1, Ajay Kumar2, Abhishek Bachhar3
Proposed that the industrial development and reduction in
forests which are two main root cause of air pollution has

increased. It detecting impurities using gas sensor. The
sensor is connected to the Arduino which consist of code
which will help us in detecting the amount of impurities in
the air.
Baihaqi Siregar says wireless sensor network (WSN)
utilizing wasp mote smart cities device, connected with
several sensors, such as dust sensor PM-10
(GPY21010AU0F), humidity sensor (808H5V5), luminosity
sensor (LDR), and microphone (dBA). As a communication
protocol we used 3G connectivity to store the data to the
cloud system
3. METHODOLOGY
The project is geared toward developing a systemcapable of
Monitoring pollutants within the air and noise within the
sound. The projected System was developed exploitation
Raspberry pi, sound device, Gas device and temperature
device. This air quality and sound quality detection and
observance System provides real time information which
might be accessed from Computers and mobile devices. The
diagram of the projected system is illustrated in Figure one.
Figure 1: Block diagram
3.1. System Design
The MQ135 and MQ9 Gas sensing element was accustomed
collect pollution. And sound sensing element and
temperature sensing element (LM35) accustomed collect
sound intensity and temperature severally. the information
is transmitted via LAN module that is gift in raspberry pi
mistreatment the web to the cloud servers, this info may be
retrieved via sensible phone orinternetenableddevices.The
transmission and retrieving of information happens in close
to real time. the information of the parameters being
measured area unit displayed on a 16*2 alphanumeric
display screen. AN alarm would sound within the eventonce
the pollution and pollution is detected. And information is
send to cloud storage which is easily available for anyone.
Also it draw the graph on thingspeak site for analysis the
data for government authority.
3.1. System Specification:
1.The Raspberry Pi may be a low cost, credit-card sized pc
that plugs into a pc monitor or TV, and uses a customary
keyboard and mouse. it's a capable very little device that
permits individuals of all ages to explore computing, and to
be told the way to program in languages like Scratch and
Python
Figure 2: raspberry pi
2. This MQ-9 CO gas, Methane, and LPG Gas sensor Module
are accustomed sense CO gas and aliphatic compound Gas.
SnO2 is the sensitive material of the gas sensor MQ9,thathas
lower physical phenomenon in clean air. It makes detection
by the maneuver of cycle high and cold, and sightCOoncethe
cold (heated by one.5V). The sensor’s physical phenomenon
is higher at the facet of the gas concentration rising
Figure 3: MQ9 Sensor
3. A temperature detector may be a device accustomed live
temperature. this may be air temperature, liquid
temperature or the temperature of solid matter. There ar
differing types of temperature sensors offered and them
every use totally different technologies and principles to
require the temperature activity. Temperature sensors
accustomed measure temperature in many alternative
applications and industries.
Figure 4: Temp Sensor
4. A sound sensor is defined as a module that detects sound
waves through its intensity and converts them to electrical
signals. Sound detection sensor works similarly to our Ears,
having a diaphragm which converts vibration into signals.

Figure 5: Sound Sensor
5.The MQ series of gas devices utilize a touch heater inside
with associate natural science detector. These sensors
square measure sensitive to a spread of gases used at
temperature. MQ135 alcohol device is also a Sno2 with a
lower natural phenomenon of contemporary air.
Figure 6: MQ135 Sensor
6. The buzzer could be a sounding device that may convert
audio signals into sound signals. it's sometimes power-
driven by DC voltage. it's wide utilized in alarms,computers,
printers and alternative electronic merchandise as sound
devices.
Figure 7: Buzzer
4. RESULT
The detected air pollution, sound pollution andtemperature
are displayed below in Fig.8
4. CONCLUSION
The smart because of monitor setting and a cheap, low price
embedded system is given with fully completely different
models throughout this paper. at intervals the projected
style functions of assorted modules were mentioned. The
noise and pollution observation system with internet of
Things (IoT)concept through an experiment tested for
observation 2 parameters. It additionally sent the device
parameters values to the cloud.Thisinformationaregoingto

be useful for future analysis and it will be simply shared to
alternative finish users. This model will be additional
swollen to watch the developing cities and industrial zones
for pollution observation. to guard the general public health
from pollution, this model provides associate economical
and low price answer for continuous observation of
surroundings.
REFERENCES
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[2] Mahantesh B Dalawai, Siva Yellampalli, Pradeep S.V,
“IOT Based Air and Noise Pollution Monitoring in Urban
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