meltaxa/solariot repository overview

⁠Solariot

Leverage your IoT enabled Solar PV Inverter to stream your solar energy usage data to a real time dashboard.

Solariot will connect directly to your Inverter using Modbus TCP.

Currently, Solariot is able to talk to a SMA Sunny Boy and Sungrow SH5K & SG5KD inverters. Solariot is designed to allow any Modbus TCP enabled inverter to be queried using a Modbus register map.

Data is collected and can be streamed to destinations like dweet.io, MQTT, InfluxDB or PVOutput. To visual the telemetry, use a dashboard such as Grafana. For example, this is Meltaxa's Grafana dashboard on solarspy.live⁠:

⁠Docker

1. Create a directory for the config file [config.py].

2. Create a config.py (see config-example.py) and place it in the config directory.

3. Run the Docker image with the volume switch to mount your config directory as /config in the image

   • docker run -v <localpath>:/config meltaxa/solariot

⁠Next Steps

Now that you are collecting the inverter's data, you'll want to ultimately display it in a dashboard as seen above.

There are many methods to stream the data. Here are a couple options, which both can be enabled in Solariot. Let me know if you have other methods, such as MQTT as the pub/sub service or another IoT Time Series database.

⁠Dweet.io and Freeboard

This is the quickest method and is a good place to start.

Metrics are streamed to dweet.io a free IoT messaging service. No sign up is required. All you need to do is create a unique identifier by updating the dweepy_uuid value in the config.py file.

Data can then be visualised using a free dashboard service from Freeboard⁠. You'll need to create your own dashboard, using dweet.io as your data source.

⁠MQTT Support

This is a good way to push data to MQTT topics that you might subscribe various tools such as Node-Red or Home Assistant to. Running your own MQTT server will mean you can also retrieve these values when your internet is offline.

All you need to do is to set the mqtt_server, mqtt_port, mqtt_username, mqtt_password and mqtt_topic values in config.py file and you'll be up and running.

⁠InfluxDB and Grafana

Use a time series database such as InfluxDB⁠ to store the inverter data as it streams in. You'll need to install this on your own server.

To display the data in real time dashboard, you can use Grafana⁠ to pull the metrics from InfluxDB. You can either install your own Grafana server or use their free Grafana hosted solution⁠.

A json export of solarspy.live Grafana dashboard is available under the grafana folder. The file will require editing to match your InfluxDb settings.

⁠PVOutput.org

We offer direct integration to publishing metrics to the 'Add Status' API endpoint⁠ of PVOutput.

Supported values are v1 through to v6 and an assumption that v1 and v3 are values are incremental and reset every day.

All you need to do is set the pvoutput_api, pvoutput_sid and pvoutput_rate_limit values in config.py file and you'll be publishing in no time!

⁠Integration with PVOutput.org and Grafana

If you are using Grafana as your dashboard, a neat little trick is to then incorporate your Grafana panels with your PVOutput as system photos. From your PV Ladder page⁠, click on your photos to view the real time Grafana images:

1. Obtain your Grafana panel direct link, see their documentation: http://docs.grafana.org/reference/sharing/#direct-link-rendered-image⁠.

2. In your PVOutput "Edit System" page, add your Grafana panel link in the "Image Link" field. Append "&png" to the link. Note, if the URL is longer than 100 characters, use a URL shortener service instead (such as https://goo.gl⁠). Don't forget to append the "&png" string to your URL.

3. Now go to your system in the PV Ladder page and click on the photos.

:bulb: Tip: You can add any URL image, such as the latest weather radar image :wink:

⁠Contributions

If you have created a modbus register map for an inverter, please submit your file as a pull request for Solariot inclusion.

⁠Acknowledgements

• michael-robbins⁠ for Docker support, modbus contrib and other improvements.
• rpvelloso⁠ for the SungrowModbusTcpClient class that enables decryption of comms.
• ShogunQld⁠ for the SMA Sunnuyboy modbus map.
• zyrorl⁠ for MQTT support contrib.