Aut pollutoion monitoring system using IOT

1. AIR POLLUTION MONITORING
AND CONTROL USING IOT

2. INTRODUCTION
• .Global air pollution is one of the major
concerns of our era.
• The level of pollution has increased with
times by lot of things like the increase in
population, increased vehicle use,
industrialization and urbanization which
ends up in harmful effects on human
wellbeing by directly affecting health of
population exposed to it.
• . Air quality goes down when enough
amount of harmful gases present in the
air like carbon dioxide, smoke, alcohol,
benzene, NH3, and NO2
• Air Pollution also intensifies the effect of
respiratory diseases

3. LITREATURE REVIEW
• Phala, kgoputjo et al [1] presented an air quality monitoring system
(AQMS) which is based on the IEEE/ISO/IEC 21451
standard.Concentrations of CO, CO2, SO2 and NO2, were measured using
electrochemical and infrared sensors. Results are saved in the data server
• Marinov, Marin B. et al [2] monitors environmental parameters with
amperometric sensors and gas sensors (infrared) using the PIC18F87K22
microcontroller. Sensor nodes are set up in different areas for real time
monitoring of environment. The results are displayed on the city map.
• Xing Liu, Orlando [3] presented a comparative study on smart sensors,
objects, devices and things in Internet of Things. The authors have also
explained the definition and concepts of IoT in various different ways.
• Monitoring environmental conditions in homes have been inspected in [4].
A framework is proposed by author to monitor temperature, humidity and
light intensity, which is based on a combination of pervasive distributed
sensing units, information system for data aggregation, and reasoning and
context awareness.

4. PROBLEM DEFINTION
• Most of the researchers have focused on the
single source of pollution control or monitoring
system such as CO or CO2 and not taken into
consideration
• Another major issue is FOG, which can turn into
smog during pollution is not handled
• FOG can cause accidents due to obstructed
visibility
• Only monitoring is inefficient hence control of
pollution is also required.

5. OBJECTIVES
• Develop a framework for air pollution monitoring by interfacing
different gas sensors to the microcontroller
• Implement IOT based system for pushing the collected data to the
cloud for monitoring the pollution levels
• To develop an android application which can be used to visualize
the different pollution levels on the map using different marks
corresponding to the intensity of the pollution levels
• To develop an automatic pollution control system which
reschedules the traffic signal timings if the pollution is exceeding in
particular zone
• To develop a fog detection and elimination system which can be
used to detect the fog levels obstructing visibility and automatically
eliminate it to avoid accidents.

6. WORKING PRINCIPLE
• A number of different such sensor nodes can be installed at
different locations of the city. The Sensor continuously monitor the
levels of the different gases and update it on the server using light
weight IOT Protocols
• The application is hosted on internet with GPS based mapping
system developed, which maps the pollution levels at different
location using the different markers making it easier to identify the
high pollution zones
• The traffic scheduling system consists of Automatic traffic
scheduling in pollution areas to reduce the levels of the pollution.
• The traffic scheduling system consists of Automatic traffic
scheduling in pollution areas to reduce the levels of the pollution.

7. BLOCK DIAGRAM

8. Methodology
• The methodology to carry the project is divided into number of different
modules The project will be carried out phase wise which consists of
development of following system.The proposed system consists of
development of IOT based Air pollution management system. The system
is designed with a view to monitor the increasing air pollution levels and
take corrective actions against them. The system consists of internet
connected sensors nodes which can be placed at various locations across
the cities. A sensor node consists of multiple sensors which will
continuously detect the pollution data from different sensors and push it
to the cloud server using light weight IOT protocols. The Web application
developed to analyze the data received from the sensor node and display
the pollution levels to the pollution control board. The system broadly
consists of development:
• Internet connected sensor node:
• The application For Air pollution Management and Visualization
• The Traffic automated scheduling system
• The Fog sensing and eliminator system

9. HARDWARE USED
• ESP8266 Node MCU SOC
• Arduino Mega 2560
• MQ2 Gas sensor
• MQ3 Gas sensor
• MQ4 Gas sensor
• MQ6 Gas Sensor
• MQ7 Gas sensor
• MQ8 Gas Sensor
• MQ135 Gas Sensor
• Traffic lights module
• Air quality/Fog Sensor
• GPS Modem
• LCD display
• Buzzer
• Defogger Unit

10. SOFTWARE USED
• Brackets IDE
• WAMP server
• PHP
• Arduino IDE
• Cpanel for Cloud server

11. ADVANTAGES AND DISADVANTAGES
• ADVANTAGES
– Can be used to detect and track the air pollution through the city
– The android based mapping gives the user the insight of the pollution
levels directly mapped using the geographical coordinates thus
providing the location and intensity of pollutants in that area
– The Fog detection system helps in determining if the fog or smog
obstructs the visibility and also update that on the map
– The fog eliminator system automatically eliminates the fog if the level
of fog if above the threshold, which can avoid accidents.
– The system automatically schedules the traffic to reduce the pollution
at the signals
• DISADVANTAGES
– Since the project is IOT based internet connectivity is must.

12. APPLICATIONS
• Can be used for pollution monitoring over IOT
• Can be used to control the air pollution levels
in the city
• Can be installed road side on highways as fog
eliminators.

13. EXPECTED OUTCOMES
• The proposed system consists of and Pollution control system which
provide a single window to read all the pollution levels in the
different areas of the city using the data collected from the
hardware sensor nodes.
• From the proposed project we can expect that the proposed system
helps in bringing a different approach towards pollution monitoring
and control using internet of things.
• The IOT visualization system helps to visualize the pollution zones
on the map
• The Traffic scheduling automatically tries to clear traffic thereby
bringing pollution levels under control
• The system also helps in elimination of fog smog caused due to
pollution. Thus the proposed project provides a complete solution
for pollution contro

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