100 lines
4.9 KiB
Markdown
100 lines
4.9 KiB
Markdown
# Xiaomi Mi Scale Add On for Home Assistant
|
|
|
|
Add-On for [HomeAssistant](https://www.home-assistant.io/) to read weight measurements from Xiaomi Body Scales.
|
|
|
|
## Supported Scales:
|
|
Name | Model | Picture
|
|
--- | --- | :---:
|
|
[Mi Smart Scale 2](https://www.mi.com/global/scale) | XMTZC04HM | 
|
|
[Mi Body Composition Scale](https://www.mi.com/global/mi-body-composition-scale/) | XMTZC02HM | 
|
|
[Mi Body Composition Scale 2](https://c.mi.com/thread-2289389-1-0.html) | XMTZC05HM | 
|
|
|
|
|
|
## Setup
|
|
|
|
1. Retrieve the scale's MAC Address based on the Xiaomi Mi Fit app.
|
|
|
|
2. Clone this repository
|
|
`git clone https://github.com/lolouk44/xiaomi_mi_scale_ha_add_on`
|
|
|
|
3. Create a new directory xiaomi_mi_scale in the folder addons in your Home Assistant installation and place all files in it via SSH / Samba
|
|
|
|
|
|
|
|
4. Open Home Assistant and navigate to add-on store and clock the reload button on the top right corner. Now you should see the Xiaomi Mi Scale as a local add-on
|
|
|
|
|
|
5. Install the add-on (takes a while as the container is built locally)
|
|
|
|
6. Edit the Configuration
|
|
|
|
|
|
Option | Type | Required | Description
|
|
--- | --- | --- | ---
|
|
HCI_DEV | string | No | Bluetooth hci device to use. Defaults to hci0
|
|
MISCALE_MAC | string | Yes | Mac address of your scale
|
|
MQTT_PREFIX | string | No | MQTT Topic Prefix. Defaults to miscale
|
|
MQTT_HOST | string | Yes | MQTT Server (defaults to 127.0.0.1)
|
|
MQTT_USERNAME | string | No | Username for MQTT server (comment out if not required)
|
|
MQTT_PASSWORD | string | No | Password for MQTT (comment out if not required)
|
|
MQTT_PORT | int | No | Defaults to 1883
|
|
TIME_INTERVAL | int | No | Time in sec between each query to the scale, to allow other applications to use the Bluetooth module. Defaults to 30
|
|
MQTT_DISCOVERY | bool | No | MQTT Discovery for Home Assistant Defaults to true
|
|
MQTT_DISCOVERY_PREFIX | string | No | MQTT Discovery Prefix for Home Assistant. Defaults to homeassistant
|
|
|
|
|
|
Auto-gender selection/config -- This is used to create the calculations such as BMI, Water/Bone Mass etc...
|
|
Up to 3 users possible as long as weights do not overlap!
|
|
|
|
Option | Type | Required | Description
|
|
--- | --- | --- | ---
|
|
USER1_GT | int | Yes | If the weight is greater than this number, we'll assume that we're weighing User #1
|
|
USER1_SEX | string | Yes | male / female
|
|
USER1_NAME | string | Yes | Name of the user
|
|
USER1_HEIGHT | int | Yes | Height (in cm) of the user
|
|
USER1_DOB | string | Yes | DOB (in yyyy-mm-dd format)
|
|
USER2_LT | int | No | If the weight is less than this number, we'll assume that we're weighing User #2
|
|
USER2_SEX | string | No | male / female
|
|
USER2_NAME | string | No | Name of the user
|
|
USER2_HEIGHT | int | No |Height (in cm) of the user
|
|
USER2_DOB | string | No | DOB (in yyyy-mm-dd format)
|
|
USER3_SEX | string | No | male / female
|
|
USER3_NAME | string | No | Name of the user
|
|
USER3_HEIGHT | int | No |Height (in cm) of the user
|
|
USER3_DOB | string | No | DOB (in yyyy-mm-dd format)
|
|
|
|
|
|
7. Start the add-on
|
|
|
|
|
|
## Home-Assistant Setup:
|
|
Under the `sensor` block, enter as many blocks as users configured in your environment variables:
|
|
|
|
```yaml
|
|
- platform: mqtt
|
|
name: "Example Name Weight"
|
|
state_topic: "miScale/USER_NAME/weight"
|
|
value_template: "{{ value_json['Weight'] }}"
|
|
unit_of_measurement: "kg"
|
|
json_attributes_topic: "miScale/USER_NAME/weight"
|
|
icon: mdi:scale-bathroom
|
|
|
|
- platform: mqtt
|
|
name: "Example Name BMI"
|
|
state_topic: "miScale/USER_NAME/weight"
|
|
value_template: "{{ value_json['BMI'] }}"
|
|
icon: mdi:human-pregnant
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
|
|
## Acknowledgements:
|
|
Thanks to @syssi (https://gist.github.com/syssi/4108a54877406dc231d95514e538bde9) and @prototux (https://github.com/wiecosystem/Bluetooth) for their initial code
|
|
|
|
Special thanks to [@ned-kelly](https://github.com/ned-kelly) for his help turning a "simple" python script into a fully fledged docker container
|
|
|
|
Thanks to [@bpaulin](https://github.com/bpaulin) for his PRs and collaboration
|