a brief technical report on controlling the pollution using IOT

1. MACHERLA MUNINDHAR
17881D5507
Under the esteemed guidance of
Dr. S. JANARDHAN RAO
ASSOCIATE PROFESSOR
POLLUTION CONTROL
USING IOT
February 18, 2018
TECHNICAL SEMINAR COMPONENT-I

2. Contents
• Introduction
• Motivation & Scope
• Objectives
• Methodologies
• Results & Discussions
• Conclusion
• References

3. February 18, 2018
Introduction
 Now a days pollution is the biggest problem
 To keep our nature we need to track the pollution levels
in environment
 Air pollution, noise pollution and water pollutions mainly
affect the humans
 To track those pollution levels we use IOT and some
sensors

4. Motivation & Scope
Motivation
 Pollution quality monitoring is a prospective application
domain which is of particular value to our country.
 Large cities with high concentration of industry, intensive
transport networks and high population density are major
sources of pollution.
 Predicting pollution quality from multiple sources by using
modelling is very complicated.
February 18, 2018

5. Cont…
Scope
 To carry out perfect air pollution models, namely scientific
research, air management and decision making, air pollution
control, environmental impact and air pollution episodes,
continuous air pollution monitoring using sensor network.
February 18, 2018

6. Objectives
 Monitoring the pollution levels.
 Controlling the pollution levels
 We can monitor all the readings of contents in the air i.e.
CO,NO2,temperature,and other gases as well as water quality
using PH sensor and sound in db.
February 18, 2018

7. Methodologies
What is an .?
 IOT is short for Internet of Things
 The Internet of Things(IOT) is inter-networking of physical
devices. This system has ability to transfer data over a
network without requiring human-to-human or human-to-
computer interaction.
February 18, 2018

8. Why ?
 IOT is the next industrial revolution which is going to change our
lives in ways never imagined before.
 This is a growing mega trend that will influence everything from
businesses to our daily personal lives.
February 18, 2018
Cont….
IOTIOT

9. Tracking
phenomena
Rule
Current
pollution
area
Near future
pollution
area
service
Abstracted
data
Abstracted
data
AreaArea Schedule
Time
Located in examine
indicated
February 18, 2018February 18, 2018
Cont…

10. Cont…
February 18, 2018
Raspberry pi
3
Gas SensorGas Sensor
CO SensorCO Sensor
GPRS
Modem
GPRS
Modem
Power
supply
Power
supply
NO2
Sensor
NO2
Sensor
16x2 LCD
Display
16x2 LCD
Display
THTH
Sound
detector
Sound
detector
CloudCloud
Block diagram of air and sound pollution monitoring system
MCP
3208
ADC
MCP
3208
ADC
alarmalarm

11. Cont…
February 18, 2018
Raspberry pi
3
16x2 LCD
display
16x2 LCD
display
GPRS
Modem
GPRS
Modem
MCP
3208
ADC
MCP
3208
ADC
Turbidity
sensor
Turbidity
sensor
PH sensorPH sensor
AlarmAlarm
Temp. sensorTemp. sensor
Power
Supply
Power
Supply
Block diagram of Water quality monitoring system
CloudCloud

12. February 18, 2018
Results & Discussions
 The previous values can be compared with the present
values.
 Controlling action will be taken before crossing the
critical level.

13. February 18, 2018
Conclusion
 We are using some sensors, which can detect air pressure,
temperature, Ultra Violet radiation, Air quality, Smoke,
Nitrogen Dioxide in air and Carbon Monoxide in air, noise
level etc…
 The sensors will sent the collected data to the cloud.
Analyzing the data, a report will be generated.
 Based on that report, the action will be taken against
pollution.

14. References
[1] Oh, Chang-Se; Seo, Min-Seok; Lee, Jung-Hyuck; Kim, Sang-Hyun; Kim,
Young-Don; Park, Hyun-Ju, “Indoor Air Quality Monitoring Systems in the
IoT Environment”, 2015
[2] Souvik Manna ; Suman Sankar Bhunia ; Nandini Mukherjee, “Vehicular
pollution monitoring using iot”, 2014 [5] Himadri Nath Saha,
“Comparative Performance Analysis between nrf24l01+ and XBEE ZB
Module Based Wireless Ad-hoc Networks”, 2017
[3] HN Saha, A Mandal, S Abhirup, “Recent trends in the Internet of Things”,
2017

15. Thank You
February 18, 2018