No description
app | ||
migrations | ||
screenshots | ||
.env.example | ||
.gitignore | ||
apache2_sample_config.conf | ||
config.py | ||
grafana.json | ||
LICENSE | ||
powermeter.py | ||
powermeter.service | ||
powermeter.wsgi | ||
README.md | ||
requirements.txt |
powermeter
A simple Pyhton script to mesaure you electricity consumption using the LED on a electricity meter and a digital light sensor.
You either can use InfluxDB to store the data or a built in Flask application.
Hardware setup
- Raspberry Pi
- Digital light sensor like this: https://www.berrybase.de/lichtsensor-mit-digitalem-ausgang
Connect the light sensor to your Pi:
VCC: 5V
DATA: GPIO 27
GND: GND
Software setup
- Copy the
.env.example
to/etc/powermeter-environment
and change it to your needs. - Acivate at least InfluxDB (which I would recommend) or Flask output.
Clone this repository, configure .env
file, setup systemd service:
git clone https://code.f2n.me/finn/powermeter.git
cd powermeter
cp .env.example /etc/powermeter-environment
cp powermeter.service /etc/systemd/system/powermeter.service
systemctl enable powermeter
systemctl start powermeter
For Flask app also to the following steps:
virtualenv .
pip install -r requirements.txt
cp apache2_sample_config.conf /etc/apache2/sites-available/powermeter.conf # modifiy to fit your needs
a2ensite powermeter
systemctl reload apache2
Developing (Flask app)
For developing run this (you need to create database and user first):
export FLASK_ENV=development
export APP_DEVELOPMENT_DATABASE_URI=postgres://username:passwort@hostname/database
flask run
Future thoughts
- build container for flask app
- Microcontroller edition
- and more
Screenshots
Node-RED usage example:
Grafana Dashboard example (InfluxDB datasource):