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IoT Based Smart Air

pollution Monitoring

system

Group Information

Mentor Of the Project

Mohammad Mamun Elahi

Assistant Professor,Dept.CSE,UIU

Coordinator of the project

Dr. Kaled Masukur Rahman

Associate professor,Dept.EEE,UIU

Group Members

Dipanjan Swarnakar ID: 021172010

Shah Jafri R. Khan ID: 021161011

Md. Fahim Ahsan ID: 021161021

Md. Rashidul Islam ID: 021161080

Abu Jayed ID: 021172018

Image Source: www.thomasnet.com

Image Source: www.shutterstock.com

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Outlines

  • Introduction ………………………………….
  • History ………………………………………….
  • Conventional Way ………………………..
  • Related Works ……………………….
  • Methodology ………………………………..
  • Conclusion …………………………………..

www.panoramahenares.com

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Introduction:

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Dhaka's Air One Of The Worst

In The World

Dhaka’s Air remain Unhealthy Maximum day’s

Nine Out of ten people breath highly polluted Air

Dhaka is the hot spot for Methane gas Emission

Each year Seven Million people die due to Polluted air Worldwide

Image Source:science4fun.info

Image Source:science4fun.info

Image Source:science4fun.info

Image Source: https://www.who.int/

Image Source:science4fun.info

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Air Quality Index.

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Moderate

Unhealthy Sensitive Groupe

Unhealthy

Very Unhealthy

Good

AQI range 0 to 50 is the satisfactory range where the air is absolutely safe.

AQI range 51 to 100  called Moderate. This range is acceptable absolutely safe, but some pollution reasonable health concerns for some people who are sensitive to air pollution.

Range of 101-150 considered in this group. Pollution-sensitive people may be affected but generally people are not likely affected.

151 to 200 This range is a health effect for everyone, especially serious for sensitive group members.

The range of 201 to 300 is health warnings of emergency conditions. Every person is more likely to be affected.

Primary Pollutants

Secondary Pollutants

  • carbon monoxide (CO)
  • oxides of nitrogen (NOx, NO)
  • sulphur oxides (SOx)
  • volatile organic compounds (VOCs)
  • particulate matter (dust, ash, salt particles)

Sulfuric acid H2SO4

Nitrogen dioxide NO2

ozone O3

Figure:AQI scale defined by the US-EPA 2016 standard

Source, https://csu-ceams.com/blog/lets-discuss-aqi/

Hazardous

300 to 500 is a health alert everyone may experience more severe health effects.

Two Types of Air Particles:

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Aim and Objectives

  • Create a tool which will monitor the quality of air.
  • Identify different gases present in air
  • Display the data.
  • Power consumption wii be less
  • Price will be affordable

Image Source: https://climatekids.nasa.gov/

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Problem Statement

Dhaka is the hot spot for Methane gas emission. Existing Devices are not able to detect Methane Gas.

Methane Gas

A

Position in

Air Pollution

Our neighboring country India is number one in air pollution. We are number two there.

C

Price of Existing devices are 500-30,000 dollars which are very expensive for developing countries.

High Cost

B

The number of people suffering from various air pollution related diseases is also increasing.

High

Diseases Rate

D

Source: The Daily Prothom Alo

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History Of Air Pollution

1948, Donora Smog (US)

From October 27 to 31, Cause 20 died

1952,Great Smog of London (UK)

From December 5 to 9, Cause 4000 died.

1967, Air Quality Act (US)

Expended research on Air pollution and control technique.

1970,EPA Clean Air Act (US)

Established first protection Agency And Air Standard (NAAQS)

1996, Air Quality Framework Directive (EU), Established Acceptable standard for pollution.

2005, Air Quality Guideline Global (WHO), Determined key air pollutant for human health.

2021, In February 26 Dhaka become Most polluted city in the world.

2021, 8th April Dhaka Identified as world most Methane gas emissions place.

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Block diagram

Power supply

Arduino Uno

MQ135 sensor

MQ2 sensor

PM 2.5/PM10

Wi-Fi module

Internet

. Mobile

Application or Web

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Related Works

An IoT Based Air Pollution Monitoring System for Smart Cities

Arun Kumar and his team in the year 2019

  • Detect Temperature, Humidity, Carbon Monoxide, LPG, Smoke, and other hazardous particulate matters like PM2.5 and PM10 levels in the atmosphere.

Real-Time Localized Air Quality Monitoring and Prediction Through Mobile and Fixed IoT Sensing Network

Mario Molinara and their team in the year 2020

Used Raspberry pi 3B which quite expensive priced from 5000 to 30 thousand dollars

  “An End to End Indoor Air Monitoring System Based on Machine Learning and SENSIPLUS Platform”

 Measured a large amount of data  under a machine learning(ML) based approach

Used Raspberry pi 3B which quite expensive priced from 5000 to 30 thousand dollars

40 general-purpose input-output pins (GPIO), and many more other features where many of them were in unused condition.

Temperature, Humidity, CO2, PM2.5, PM10

Molinara and their team in the year 2020

They have used a sensor SENSIPLUS. Sensi Plus is a very accurate microchip, it measures the various functions of chemical, magnets, and optical

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Related Works (Contd.)

Most of the previous works measured less Important particles.

Example: Temperature, Humidity

As far as we know, no previous work has measured Methane Gas.

Most of the works Processed data inside the device

Used high quality processing Unit like Raspberry Pi.

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Why Our Work is different?

  1. Most harmful Air Particles for Developing Countries will be detected.
  2. As reported about pollution in Dhaka city, Methane gas is one of the main pollutants. We will detect it and incorporate into our model.
  3. Data will be processed in Cloud Server.
  4. A light processor will be used in the measurement device.
  5. Electrically recycled components will be used for energy efficiency.

Methane concentrations identified over Bangladesh this year.Source: Kayrros SAS

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A Comparison Between Raspberry Pi and Arduino

Arduino

02

  • Consume 45 Wh.
  • Made Only 32 ARC Architecture.
  • Clock Speed Only 16 MHz.
  • Only 14 GPI pin.
  • Original Price $35.

Raspberry Pi

01

  • Consume 128 Wh.
  • Made 64 bit quad core.
  • Clock Speed 1.2 GHz.
  • 40 GPI pin.
  • Original price is $45

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Air Quality Management

PM2.5, PM10, PM1

(PM) Sensor

Online(WiFi), Offline(SD Card)

Data logging

NH3, Nox, Benzene, somek, CO2

MQ135 sensors

MQ2 Sensor

Live Dashboard

Methane, Butane, LPG

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Process

Power Unit

Communication

Micro-Controller

Sensor Data

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Structure

IoT Device

Software

Data

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ThingSpeak :

Data Analysis

Wi-Fi

Web service

Apps

other things

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Wi-Fi to ThingSpeak

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Getting-API-Key-from-ThingSpeak-for-ESp32

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Installation

Architecture

of the Device

Image source: oizom.com

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Output

Can be taken proper action at a specific area

Researchers will be able to provide solutions to regarding pollutions based on data

Different types of air pollution diseases can be alerted before being infected

Possible to know the amount of ingredients in the polluted air

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Additional Expectations

  • Cost Effective
  • Minimum in Size
  • Easy maintenance and hazard free
  • Real -Time air quality update
  • sustainable urban expansion and transportation

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