Questa versione introduce l'auto-discovery automatica dei parametri dell'inverter, eliminando la necessità di configurazione manuale dei buffer sizes. Il container rileva automaticamente i parametri corretti al primo avvio e li salva per utilizzi futuri.

Novità principali:

🔍 Auto-detection buffer sizes per diversi modelli di inverter
⚙️ Configurazione tramite variabili d'ambiente Docker
💾 Caching persistente dei parametri scoperti
🔄 Multi-inverter support con discovery indipendente
🐛 Bug fixes: parsing interi, sincronizzazione thread, gestione QPIWS

📖 Documentazione completa: documentation/

The following other projects may also run on the same SBC (using the same style docker setup as this), to give you a fully featured solution with other sensors and devices:

This project was derived from the 'skymax' C based monitoring application designed to take the monitoring data from Voltronic, Axpert, Mppsolar PIP, Voltacon, Effekta, and other branded OEM Inverters and send it to a Home Assistant MQTT server for ingestion...

The program can also receive commands from Home Assistant (via MQTT) to change the state of the inverter remotely.

By remotely setting values via MQTT you can implement many more complex forms of automation (triggered from Home Assistant) such as:

Changing the power mode to 'solar only' during the day, but then change back to 'grid mode charging' for your AGM or VLRA batteries in the evenings, but if it's raining (based on data from your weather station), set the charge mode to PCP02 (Charge based on 'Solar and Utility') so that the following day there's plenty of juice in your batteries...
Programatically set the charge & float voltages based on additional sensors (such as a Zigbee Temperature Sensor, or a DHT-22 + ESP8266) - This way if your battery box is too hot/cold you can dynamically adjust the voltage so that the batteries are not damaged...
Dynamically adjust the inverter's "solar power balance" and other configuration options to ensure that you get the most "bang for your buck" out of your setup...

The program is designed to be run in a Docker Container, and can be deployed on a lightweight SBC next to your Inverter (i.e. an Orange Pi Zero running Arabian), and read data via the RS232 or USB ports on the back of the Inverter.

Example #1: My "Lovelace" dashboard using data collected from the Inverter & the ability to change modes/configuration via MQTT.

Example #2: Grafana summary allowing more detailed analysis of data collected, and the ability to 'deep-dive' historical data.

Prerequisites

Docker
Docker-compose
Voltronic/Axpert/MPPSolar based inverter that you want to monitor
Home Assistant running with a MQTT Server

Configuration & Standing Up

It's pretty straightforward, just clone down the sources and set the configuration files in the config/ directory:

# Clone down sources on the host you want to monitor...
git clone https://github.com/ned-kelly/docker-voltronic-homeassistant.git /opt/ha-inverter-mqtt-agent
cd /opt/ha-inverter-mqtt-agent

# Configure the 'device=' directive (in inverter.conf) to suit for RS232 or USB.. 
vi config/inverter.conf

# Configure your MQTT server's IP/Host Name, Port, Credentials, HA topic, and name of the Inverter that you want displayed in Home Assistant...
# If your MQTT server does not need a username/password just leave these values empty.

vi config/mqtt.json

# OPTIONAL: Configure auto-discovery environment variables in docker-compose.yml
# See AUTO_DISCOVERY.md for detailed documentation
vi docker-compose.yml

Then, plug in your Serial or USB cable to the Inverter & stand up the container:

docker-compose up -d

🆕 Auto-Discovery Feature (v2.0+)

The container now includes automatic buffer size detection for different inverter models. At first startup, it will:

Auto-detect the correct communication parameters for your specific inverter
Save the discovered settings to /etc/inverter/.discovery_done
Reuse saved settings on subsequent startups (instant start)

Environment Variables:

environment:
  - INVERTER_DEVICE=/dev/ttyUSB1      # Your RS232/USB device
  - FORCE_DISCOVERY=false             # Re-run discovery on every start
  - SKIP_DISCOVERY=false              # Skip discovery, use inverter.conf values

📖 See AUTO_DISCOVERY.md for complete documentation including:

How auto-discovery works
Environment variable reference
Multi-inverter setups
Troubleshooting guide
Migration from older versions

Example: Changing the Charge Priority of the Inverter

COMMON COMMANDS THAT CAN BE SENT TO THE INVERTER

(see protocol manual for complete list of supported commands)

DESCRIPTION:                PAYLOAD:  OPTIONS:
----------------------------------------------------------------
Set output source priority  POP00     (Utility first)
                            POP01     (Solar first)
                            POP02     (SBU)

Set charger priority        PCP00     (Utility first)
                            PCP01     (Solar first)
                            PCP02     (Solar and utility)
                            PCP03     (Solar only)

Set the Charge/Discharge Levels & Cutoff
                            PBDV26.9  (Don't discharge the battery unless it is at 26.9v or more)
                            PBCV24.8  (Switch back to 'grid' when battery below 24.8v)
                            PBFT27.1  (Set the 'float voltage' to 27.1v)
                            PCVV28.1  (Set the 'charge voltage' to 28.1v)

Set other commands          PEa / PDa (Enable/disable buzzer)
                            PEb / PDb (Enable/disable overload bypass)
                            PEj / PDj (Enable/disable power saving)
                            PEu / PDu (Enable/disable overload restart);
                            PEx / PDx (Enable/disable backlight)

NOTE: When setting/configuring your charge, discharge, float & cutoff voltages for the first time, it's worth understanding how to optimize charging conditions to extend service life of your battery: https://batteryuniversity.com/learn/article/charging_the_lead_acid_battery

Using `inverter_poller` binary directly

This project uses heavily modified sources, from manio's original demo, and be compiled to run standalone on Linux, Mac, and Windows (via Cygwin).

Just head to the sources/inverter-cli directory and build it directly using: cmake . && make.

Basic arguments supported are:

USAGE:  ./inverter_poller <args> [-r <command>], [-h | --help], [-1 | --run-once], [-a | --auto-discover]

SUPPORTED ARGUMENTS:
          -r <raw-command>      TX 'raw' command to the inverter
          -h | --help           This Help Message
          -1 | --run-once       Runs one iteration on the inverter, and then exits
          -d                    Additional debugging
          -a | --auto-discover  Auto-detect correct buffer sizes for your inverter

Bonus: Lovelace Dashboard Files

Please refer to the screenshot above for an example of the dashboard.

I've included some Lovelace dashboard files in the homeassistant/ directory, however you will need to need to adapt to your own Home Assistant configuration and/or name of the inverter if you have changed it in the mqtt.json config file.

Note that in addition to merging the sample Yaml files with your Home Assistant, you will need the following custom Lovelace cards installed if you wish to use my templates:

📚 Documentazione

Guide Utente

AUTO_DISCOVERY.md - Guida completa all'auto-discovery
- Come funziona
- Variabili d'ambiente
- Scenari d'uso e troubleshooting
- Setup multi-inverter
QUICKSTART.md - Setup rapido del progetto
- Build e debug locale
- Configurazione VS Code
- Comandi essenziali

Documentazione Tecnica

CODE_ARCHITECTURE.md - Architettura completa del codice
- Mappa logica funzioni e variabili
- Flusso di esecuzione dettagliato
- Diagrammi e mappe concettuali
- Sincronizzazione multi-thread
IMPLEMENTATION.md - Changelog implementazione v2.0
- Feature aggiunte
- Bug risolti
- Test eseguiti

Guide Sviluppatore

DEBUG.md - Guida completa al debugging
- Configurazioni VS Code
- GDB workflows
- Troubleshooting comuni
.vscode/README.md - Setup ambiente sviluppo
- Estensioni raccomandate
- Tasks e launch configurations
- Shortcuts utili

🤝 Contributing

Contributions are welcome! Per contribuire al progetto:

Fork del repository
Crea branch feature (git checkout -b feature/AmazingFeature)
Commit delle modifiche (git commit -m 'feat: Add amazing feature')
Push al branch (git push origin feature/AmazingFeature)
Apri Pull Request

Per sviluppatori: Consulta CODE_ARCHITECTURE.md per comprendere il flusso del codice prima di contribuire.

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Credits

Original skymax project by manio
Skyboo's monitoring tutorial
AEVA Forums for protocol documentation

Version: 2.0.0
Last Updated: 25 gennaio 2026

Languages

Shell 59.4%

C++ 38.4%

Python 1%

CMake 0.7%

C 0.5%

README.md

A Docker based Home Assistant interface for MPP/Voltronic Solar Inverters

✨ Version 2.0 - Auto-Discovery Feature