Raspberry Pi Weather Station

A complete weather station project based on Raspberry Pi, featuring local sensor data collection, a web dashboard with historical graphs, and satellite imagery integration.

Note: This project is currently in the development stage.

🌟 Features

• Real-time Monitoring: Measures Temperature, Humidity, Pressure, Rainfall, Wind Speed, and Wind Direction.
• Web Dashboard: A Flask-based web interface to view current conditions and historical data.
• Data Visualization:
  • Interactive graphs for the last 48 hours (Temperature, Humidity, Pressure, Rain).
  • Wind Rose for wind direction analysis.
  • Daily rain accumulation charts.
  • Min/Max statistics (Day, Week, Month).
• Satellite Imagery: Automatically fetches and animates cloud cover maps from OpenWeatherMap.
• LCD Display: Local display of current metrics on a Grove RGB LCD with color-coded background based on temperature.
• Home Assistant Integration: Provides a JSON API endpoint (/api/v1/sensors) for external integration.
• Robust Logging: Data is logged to CSV with automatic corruption recovery.

🛠 Hardware Requirements

• Raspberry Pi (any model with GPIO and I2C support)
• Sensors:
  • BME280 (I2C, 0x76): Primary Temperature, Humidity, and Pressure sensor.
  • DHT11 (GPIO 4): Backup Temperature/Humidity sensor.
  • AS5600 (I2C): Magnetic Rotary Position Sensor for the Wind Vane.
  • Rain Gauge (GPIO 5): Tipping bucket mechanism.
  • Anemometer (GPIO 6): Pulse-based wind speed sensor.
• Display: Grove RGB LCD (I2C).

🖨 3D Printed Parts Sources

This project incorporates existing designs from Thingiverse for the mechanical components:

• Rain Gauge: Thingiverse #4725413
• Anemometer (Wind Speed): Thingiverse #2559929

🔌 Wiring

Component	Interface	Pin / Address
BME280	I2C	0x76
AS5600	I2C	Default
LCD	I2C	0x3e, 0x62
DHT11	GPIO	GPIO 4
Rain Gauge	GPIO	GPIO 5
Anemometer	GPIO	GPIO 6

📦 Installation

1. Clone the repository:

   git clone https://github.com/gotenash/meteopi.git
   cd meteopi

2. Install Python dependencies:

   pip3 install flask flask-login pandas matplotlib numpy requests smbus2 adafruit-circuitpython-dht adafruit-circuitpython-bme280 adafruit-circuitpython-as5600 gpiozero pillow

   Note: Ensure I2C is enabled on your Raspberry Pi via raspi-config.

3. Configuration: The system uses a config.json file. It will be created automatically on the first run of the web app, or you can create it manually:

   {
       "owm_api_key": "YOUR_OPENWEATHERMAP_API_KEY",
       "latitude": 48.85,
       "longitude": 2.35
   }

🚀 Usage

The system consists of three main scripts that should run simultaneously (e.g., via systemd or crontab).

1. Sensor Data Collection

Starts reading sensors and logging data to meteo_log.csv.

python3 meteo_capteur.py

2. Web Interface

Starts the Flask web server (default port 5000).

python3 meteo_web.py

Access the dashboard at http://<raspberry-pi-ip>:5000.

• Default Login: admin / password (Change this in meteo_web.py!)

3. Satellite Image Fetcher

Downloads cloud maps every 15 minutes.

python3 satellite_fetcher.py

📊 API

You can retrieve the latest sensor data in JSON format for integration with Home Assistant or other systems:

Endpoint: GET /api/v1/sensors

Response:

{
  "humidity": 45.0,
  "last_update": "2023-10-27T14:30:00",
  "pressure": 1015.2,
  "rain": 0.0,
  "temperature": 22.5,
  "wind_direction": "NE",
  "wind_speed": 12.4
}