Home Assistant Add-on: P2000 RTL-SDR
Receive P2000 events using Home Assistant and your RTL-SDR dongle.
About
An all-in-one add-on for receiving P2000 events from the air, filter them as you like and update sensors with detailed information.
Features
This add-on is based on my standalone project called 'RTL-SDR-P2000Receiver-HA' which had been created to run on a seperate Linux device, it was rewritten as an Hassio add-on, I left out unneeded code, added MQTT autoconfigure and optimized it.
It comes out of the box with the following features:
- Standalone P2000 messages receiver using a local RTL-SDR compatible receiver
- Support for a large number of RTL-SDR dongles models
- Automatic MQTT sender configuration and device discovery/creation
- Global text and capcode filter options
- Unlimited number of sensors and filters (as long as hardware resources can handle it)
- Includes detailed capcode and city names database created from data on https://www.tomzulu10capcodes.nl and http://p2000.bommel.net
- Code to guess and complete as much address data as possible
- Geocode functionality using https://opencagedata.com to get rough lat/long location and maps links, fetched data is stored for future use.
Installation
The installation of this add-on is pretty straightforward and not different in comparison to installing any other add-on.
- Add my add-ons repository to your home assistant instance
(in supervisor addons store at top right, or click button below if you have configured my HA)
- Install this add-on.
- Click the
Savebutton to store your configuration. - Set the add-on options to your preferences (see documentation tab after installation)
- Start the add-on.
- Check the logs of the add-on to see if everything went well.
Make sure your RTL-SDR dongle is inserted in the Home assistant device.
Place your antenna in a good location near the window, or even outside.
If you don't see the wanted result, consider setting verbosity to 'debug' and restart.
Don't leave verbosity debug enabled for a long time, since it logs a lot of data, and can wear out your storage devices.
