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Raspberry Pi + BME280 sensor + web frontend = nice graphs

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Raspberry Pi weather station

(Original project: https://github.com/ofalvai/raspi-weather)

BME280 temperature/humidity/pressure sensor logger and browser dashboard for the Raspberry Pi. Based on Adafruit's BME280 Python library.

Screenshot

Features

  • Measure and store temperature, humidity and pressure periodically (via cron and sqlite)
  • Responsive web dashboard
  • Display current temperature, humidity and pressure
  • Display logged temperature, humidity and pressure graphs
  • Other weather info via Forecast.io

Installation

sudo apt-get install sqlite3
wget http://node-arm.herokuapp.com/node_latest_armhf.deb
sudo dpkg -i node_latest_armhf.deb
git clone https://github.com/dventurino/raspi-weather.git
cd raspi-weather
npm install

Install Adafruit's BME280 Python library according to their instructions.

Edit your sudo crontab with sudo crontab -e (yes, it needs to run as root to access GPIO, use at your own risk), and add this line:

*/30 * * * * /usr/bin/python /home/pi/raspi-weather/sensor_scripts/logger.py

...assuming you want to take measurements every 30 minutes, and cloned into /home/pi.

Connect your BME280 sensor to the Pi, copy Adafruit_BME280.py in sensors and set the correct BME280 default address.

You can test both scripts by running sudo sensor_scripts/current.py and sudo sensor_scripts/logger.py. The latter will create the sqlite database file in the project root and log the first measurement.

You can further tweak the frontend settings in public/javascripts/app.js, like:

  • temperature unit
  • Forecast.io API key and location for outside weather info
  • chart options

Usage

Start the server (it needs to run as root for the same reason as the cronjob: to aceess GPIO):

sudo nohup node app.js &

...or you can install forever to keep it always running and then sudo forever start app.js

...or you can add its init script to make it start at boot.

The server runs on port 3000, so visit for example http://192.168.0.100:3000

Future ideas

  • Select custom date ranges to display on the graphs
  • Average graphs
  • Dynamic favicon (like Google Calendar)

Feel free to fork and send me pull requests :)

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