juandi-m / openweather-quality

This project hosts the code for and arduino and Raspberry Pi project that aims to measure: Humidity, Temperature, Pressure, Particulate Matter, Sunlight UV, Luminosity and Sonic pollution

Weather and Air Quality Station Project

This comprehensive project combines the power of Arduino Uno R3 and Raspberry Pi 4 to establish a dual-purpose monitoring station that tracks both indoor and outdoor weather conditions as well as air quality metrics. It harnesses a variety of sensors to collect environmental data, and features a Flask-based dashboard for the visualization of the gathered data, providing insights into weather patterns and air quality.

Components Required

• Arduino Uno R3: Serves as the primary controller for reading from various environmental sensors.
• Raspberry Pi 4: Acts as the central processing unit for handling data collection, processing, and visualization through a web dashboard.
• BME280 Sensor: Measures temperature, humidity, and atmospheric pressure.
• TSL2591 Sensor: Detects light intensity.
• VEML6075 Sensor: Monitors UV index, providing UVA and UVB radiation levels.
• MQ135 Sensor: Assesses air quality by detecting various gases.
• SDS011 Sensor: Measures particulate matter concentrations (PM2.5 and PM10).
• Adafruit I2S MEMS Microphone Breakout - SPH0645LM4H: Captures audio for sound pollution monitoring.
• Assorted cables and connectors: For interfacing the sensors with the Arduino and Raspberry Pi.
• Resistors for I2C pull-up (optional): 2.2kΩ to 10kΩ, if needed, to stabilize the I2C bus.

Dashboard

Here is a sneak peek of our Dashboard:

Sensor Connections to Arduino Uno R3

Sensor	Connection	Pins	Additional Components	Notes
BME280	I2C	A4 (SDA), A5 (SCL), 3.3V, GND	None
TSL2591	I2C	A4 (SDA), A5 (SCL), 3.3V, GND	None
VEML6075	I2C	A4 (SDA), A5 (SCL), 3.3V, GND	None
MQ135	Analog	Any A0 to A5, 5V, GND	None
SDS011	Serial	D2 (RX), D3 (TX), 5V, GND	None	Use SoftwareSerial library

Connecting Arduino to Raspberry Pi 4

1. Arduino Uno R3 is connected to the Raspberry Pi 4 using a USB cable. The Arduino acts as a serial device to the Raspberry Pi.
2. Verify the device name on the Raspberry Pi, usually /dev/ttyACM0 or /dev/ttyUSB0, by checking connected devices.

Software Setup

Arduino

• Load the provided arduinoSensors.ino sketch onto the Arduino. This sketch is designed to read data from the connected sensors and send it to the Raspberry Pi via serial communication.

Raspberry Pi

• Python Dependencies: Install necessary libraries such as pySerial for serial communication, and Flask for the web dashboard.

  pip install pyserial Flask

• Sound Sensor Script: Use raspberyMicSensor.py to capture and analyze sound levels for sound pollution data.
• Flask Dashboard: Run backendFlask.py within the dashboard directory to start the web server and serve the dashboard interface.

Data Handling and Visualization

• The environmental data collected by the Arduino is sent to the Raspberry Pi, where it is processed and stored. The sound pollution data is also processed on the Raspberry Pi.
• A Flask-based web dashboard, accessible through any web browser, visualizes the collected environmental and sound data. The dashboard provides a real-time view of the data through the dashboard.html template styled with style.css.

Project Structure

OpenWeather-Quality
│
├── README.md # Project documentation
├── arduinoSensors.ino # Arduino script for environmental sensors
├── raspberyMicSensor.py # Python script for Raspberry Pi sound sensor
│
└── dashboard # Dashboard application directory
├── backendFlask.py # Flask backend script
│
├── static # Directory for static files
│ └── style.css # CSS styles for the dashboard
│
└── templates # Directory for HTML templates
└── dashboard.html # HTML template for the dashboard

Conclusion

This guide outlines the setup for a comprehensive weather and air quality monitoring station. The system is designed for flexibility, allowing for adjustments and additions based on specific project requirements and goals. Detailed documentation for sensor connections, software setup, and dashboard operation is provided to ensure a smooth project execution and deployment.