IoT-Based Air Quality Monitoring System

Overview

This project is an IoT-based Air Quality Monitoring System that collects environmental data, including gas levels, particulate matter (PM2.5, PM10), temperature, pressure, and humidity. The system uses Arduino Uno to interface with 8 MQ sensors and sends data to an ESP32 via serial communication. The ESP32 manages additional sensors (PMS5003 for particulate matter and BMP280 for environmental conditions) and transmits real-time data to the cloud.

Components Used

• Arduino Uno
  • Interfacing with 8 MQ gas sensors (for detecting gases like CO, LPG, and methane)
• ESP32
  • Handling data communication and managing additional sensors
• MQ Sensors (8 units)
  • To detect various gases
• PMS5003
  • For measuring particulate matter (PM2.5, PM10)
• BMP280
  • To monitor temperature, humidity, and atmospheric pressure
• Jumper Wires, Breadboard
  • For connections
• Power Source
  • To power the Arduino and ESP32

System Architecture

The system consists of two main modules:

1. Arduino Uno: Reads the data from the 8 MQ sensors and transmits it to the ESP32 via serial communication.
2. ESP32: Receives data from the Arduino, interfaces with the PMS5003 and BMP280 sensors, and sends all the data to the cloud for remote monitoring.

Features

• Real-time monitoring of air quality
• Displays environmental data such as gas levels, particulate matter, temperature, pressure, and humidity
• Data transmission from Arduino to ESP32 using serial communication
• Integration of multiple sensors (MQ gas sensors, PMS5003, BMP280)
• Cloud-based data visualization (future enhancements can include web/mobile app integration)

Software/Programming

• Arduino Programming Language (C): Used for coding the Arduino to read data from the sensors and send it to the ESP32.
• ESP32 Programming (C): Used to manage the communication with the Arduino and the other sensors, and send the data for further analysis or display.

Circuit Diagram

(Attach the circuit diagram here)

Setup Instructions

1. Hardware Setup:

   • Connect the 8 MQ sensors to the Arduino Uno.
   • Connect the PMS5003 and BMP280 sensors to the ESP32.
   • Use jumper wires and a breadboard for connections.

2. Software Setup:

   • Upload the Arduino code to the Arduino Uno via the Arduino IDE.
   • Upload the ESP32 code to the ESP32 via the Arduino IDE or another compatible platform.
   • Ensure that both the Arduino and ESP32 are connected to the same power source and the communication is set up correctly.

3. Testing:

   • Once the code is uploaded, the system will begin collecting data from all sensors and transmitting it to the ESP32.
   • The data can be displayed via the cloud or any interface set up in the future.

Future Enhancements

• Integration with cloud platforms (e.g., Firebase, ThingSpeak)
• Real-time data visualization on a web app or mobile app
• Integration with alert systems (e.g., email or SMS notifications when air quality is poor)