https://github.com/sylvek/domotik
Home Monitoring Project
https://github.com/sylvek/domotik
iot linky mosquitto mqtt power-consumption raspberry-pi smarthome sqlite temperature-sensors
Last synced: 11 months ago
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Home Monitoring Project
- Host: GitHub
- URL: https://github.com/sylvek/domotik
- Owner: sylvek
- License: gpl-2.0
- Created: 2015-06-30T12:06:34.000Z (almost 11 years ago)
- Default Branch: master
- Last Pushed: 2024-08-01T22:27:08.000Z (almost 2 years ago)
- Last Synced: 2024-08-02T21:13:16.115Z (almost 2 years ago)
- Topics: iot, linky, mosquitto, mqtt, power-consumption, raspberry-pi, smarthome, sqlite, temperature-sensors
- Language: Go
- Homepage:
- Size: 354 MB
- Stars: 7
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Domotik
Domotik is a very simple home-automation software.
Originally, I've bought an [Envi CC128](http://www.currentcost.com/product-cc128.html), one Raspberry Pi 1 and I've used [measureit](https://github.com/lalelunet/measureit/wiki/The-end-of-the-measureit-project-%3F!) to display my power consumption. It was fun but charts were cheap and difficults to upgrade.
Early in 2015, i discovered [ESP8266](https://fr.wikipedia.org/wiki/ESP8266) chip, [Arduino UNO](https://en.wikipedia.org/wiki/Arduino_Uno) and IoT stuffs (like MQTT). I've decided to build my own devices…
I've took a comm' module from an Oregon Scientific Clock and plug it on a arduino board in order to receive data from an external temperature sensor [thgr-511](https://www.disteo-sante.fr/accessoires/1759-thgr-511-sonde-thermo-hygro-.html) (and that worked!)
Boosted by this success, I build several other temperature sensors.
In 2018 i received a [Linky](https://fr.wikipedia.org/wiki/Linky) and decided to [extract data with a Raspberry Pi Zero](https://github.com/sylvek/linkiki).
I've also built a webpage to display data to my TV.
This dashboard was firstly displayed thanks to an original Raspberry Pi 1 and recently on a Kindle Fire TV.
Server side, i've written several small scripts in Python using Mosquitto and Mongodb.
Basically, everything was running on a raspberry pi 0/1.
- In 2015, i started the project on a raspberry pi,
- In 2017, i switched to a x86 computer and Docker,
- In 2020, i replaced my raspberry-pi "TV" by a [Kindle TV Stick + Fully Kiosk](https://www.fully-kiosk.com/en/#download-box),
- In 2022, i gave up influxdb and built a dedicated datastore
- In 2023, domotik works on a raspberry pi 0/1
- In 2024, nothing more…
## Build / Run it
### On AMD64/ARM64
```
> mkdir domotik
> wget https://raw.githubusercontent.com/sylvek/domotik/master/docker-compose.yml
> docker compose up
> #open http://localhost:3000 for the TV show
> #open http://localhost:3333 to display Grafana
> #You can simulate data by using [`mosquitto_pub`](https://mosquitto.org/man/mosquitto_pub-1.html).
> mosquitto_pub -h localhost -t sensors/outside/temp -m 4
> mosquitto_pub -h localhost -t sensors/linky/watt -m 4000
```
### On Raspberry Pi Zero/1 (armhf)
```
> mkdir /home/pi/domotik
> wget https://raw.githubusercontent.com/sylvek/domotik/master/docker-compose.armv6.yml
> docker compose -f docker-compose.armv6.yml up
```
## Use it
Basically i use 3 temperature sensors and a "watt meter".
| name | topic | unit | usage |
| ----------------- | -------------------- | -------- | ---------------------------------- |
| outside | sensors/outside/temp | xx.xx °c | a value every 10 min |
| living room | sensors/living/temp | xx.xx °c | a value every minute |
| room | sensors/room/temp | xx.xx °c | a value every minute |
| power consumption | sensors/linky/watt | xxxxx | a watt-hour value every second |
| power consumption | sensors/linky/indice | xxxxx | watt consumed since the first day |
| power state | sensors/linky/state | 1 or 0 | state between high and low tariff |
| service | link |
| ------------ | ------------------- |
| tv dashboard | http://your_ip |
| pc dashboard | http://your_ip:3000 |
| MQTT broker | tcp://your_ip:1883 |
I use Grafana _(plugged on SQLite)_ to display more dashboards. _(look extras/grafana-save folder)_
