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This project presents an IoT-based Air Quality Index Monitoring System that measures indoor and outdoor harmful gases such as (NH3) using an MQ135 gas sensor and (CO) using an MQ7 sensor and Particulate Matter(PM10 ,PM2.5) Using SDS011 Sensor . The system displays air quality (PPM) on Adafruit IOT Platform facilitating easy monitoring

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AQI-Monitoring-System

Introduction

The AQI (Air Quality Index) Monitoring System is a comprehensive project aimed at providing real time monitoring and analysis of air quality in a given region. Air pollution is a significant environmental and public health concern globally, affecting millions of people. This project seeks to address this issue by developing a system that measures various air pollutants and calculates the AQI, providing valuable information for decision-makers and the general public. This project presents an IoT-based Air Pollution Monitoring System that measures indoor harmful gases such as Carbon Dioxide (CO2) using an MQ135 gas sensor and Carbon Monoxide (CO) using an MQ7 sensor. The system displays air quality in Parts Per Million (PPM) on dashboard of Thinkspeak, facilitating easy monitoring.

Components Required

  • Raspberry Pi (4B)
  • Nova PM Sensor SDS011
  • MQ 7 – CO gas detection sensor
  • IC MCP 3008 - 10-bit Analog-to-Digital Converter (ADC) for MQ 7
  • MQ 135 – NH3 gas detection sensor
  • HDMI cable
  • Male to Male , Male to female , female to female jumper wires
  • Breadboard
  • zero PCB

Software Requirement

  • IDE : Thonny, Geany
  • Hosting Website : AdaFruit.

Measurement

Calibrating the sensor in fresh air is crucial, followed by deriving an equation converting sensor output voltage value into convenient units, PPM (Parts Per Million). The mathematical calculations involve finding the slope and applying logarithmic functions for accurate conversion.

Block Diagram

Block Diagram

Datasheets

Project

project

Dashboard

Dash Dash Dash

Results

Successful deployment of AQI Monitoring System in the target area. Real-time monitoring of key air pollutants and calculation of accurate AQI values. User-friendly interface accessible to both decision-makers and the general public. Improved awareness of air quality conditions, leading to informed decision-making. Positive feedback from stakeholders regarding the effectiveness and usability of the system.

Conclusion

The AQI Monitoring System represents a significant step towards addressing the challenges posed by air pollution. By providing real-time data and insights into air quality conditions, the system empowers individuals, communities, and policymakers to take proactive measures to safeguard public health and the environment. Continued enhancements and collaborations will further strengthen the system's effectiveness in combating air pollution and promoting sustainable development.

About

This project presents an IoT-based Air Quality Index Monitoring System that measures indoor and outdoor harmful gases such as (NH3) using an MQ135 gas sensor and (CO) using an MQ7 sensor and Particulate Matter(PM10 ,PM2.5) Using SDS011 Sensor . The system displays air quality (PPM) on Adafruit IOT Platform facilitating easy monitoring

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