Using influxdb, grafana and nodejs datalogger rasplogger to visualise solar panel data

I've been working on a datalogging project collecting timeseries data using nodejs app RaspLogger to log the data, influxdb as a timeseries database and grafana to visualise the data. I will do a more elaborate writeup on this setup soon, but can already share a specific pvoutput based dashboard with some instructions!

I've formatted the guide in the form of the influx-db community templates:

This dashboard shows solar panel data that is collected through a nodejs datalogger capturing data from pvoutput.org

Included Resources

1 PV Output dashboard json export for Grafana 6.7.3

Data collection with RaspLogger (pv module)

RaspLogger PV module requires the following environment variables

• PVOUTPUT_APIKEY - The API key acquired at pvoutput.org website
• PVOUTPUT_SYSTEMID - The PV system id you want the logger to capture

Continuously monitor pvoutput data by using RaspLogger to log data

• git checkout git@github.com:peterpeerdeman/rasplogger.git
• cd rasplogger
• docker run -it --rm --name rasplogger_pv -v "$PWD":/usr/src/app -w /usr/src/app --restart always node:13-buster node rasplogger.js cron pv "*/5 * * * *" -u http://influxdb:8086/pv

migrating data / example data

If you want to import historical data from a pv installation, or experiment with some sample pv data you can use pvoutput-to-influx on github

next steps

If you are interesting in this topic, check out the next blogs about timeseries and predictions series here:

1. Predicting timeseries data using Facebook Prophet in a Python Flask service, Influxdb and Grafana on Raspberry Pi
2. Using Darts-Timeseries-Forecaster to perform configurable forecasting on timeseries
3. Continuous forecasting with MLops pipeline on Kubernetes using Argo workflows, Influx and Darts