25 Feb 2017

Using Home Assistant to control Daikin SkyFi Air Conditioner

Originally posted on Whirlpool.net.au here
Github repo : https://github.com/coggs/homeassistant

Using Home Assistant to control the (AU) Daikin SkyFi Aircon Unit

I've configured SkyFi (only temperature readings and On/Off) and also enabled the Alexa listener for on/off commands.

Despite the communication issues with SkyFi, it works most of the time, and best of all, if you expose Home Assistant externally, you can control from outside of your LAN.

Here are the Home Assistant configs segments I am using.
Obviously replace the IP address and Skyfi Password with your own!
The Alexa listener IP is the IP address of your Home Assistant Server

With this config I can use Home Assistant UI to turn Aircon on and off, as well as monitor state and internal/external temps. Also, with some work on the curl commands, you could render all of the other response codes documented above.

friendly_name: Daikin Aircon
emulated_hue_name: "aircon"
icon: mdi:fan

– platform: command_line
command_on: "curl -k --silent \"\""
command_off: "curl -k --silent \"\""
command_state: "curl -k --silent \"\" | awk -F'[=&]' '{print $2}'"

- platform: command_line
name: Inside
unit_of_measurement: "°C" 
command: "curl -k --silent \"\" | awk -F'[=&]' '{print $24}'"
– platform: command_line
name: Outside
unit_of_measurement: "°C" 
command: "curl -k --silent \"\" | awk -F'[=&]' '{print $26}'"

listen_port: 8300
– script
– scene
expose_by_default: true
– switch

Anki Overdrive and Oracle IoT Demo

At Oracle we've built an Integrated Cloud service demo, specifically using Anki Overdrive, Raspberry Pi with Bluetooth Sniffers, and IoT Cloud Service.

I'll do a write up on this, although I have done one or two already. (AppsLab.com )

In the meantime, here's some links to the various videos that we have done locally, and also some of our colleagues worldwide!

If you want help getting this up and running for your own purposes, we've got some details on this website anki.opcau.com and one of my colleagues, John Graves, who is the technological genius behind this, has published some of his work on Github