Home Assistant
The Home Assistant integration consists of two parts:
- node sensors: each ESP32 appears as a device automatically (because MQTT auto discovery), including entities to set max distance and disable/enable active scan or query
- beacons: define each beacon in
configuration.yaml
(using mqtt_room integration)
beacons: MQTT device topics
Once the ESP32 is running, it is important to configure Home Assistant to use the information from the MQTT topic to determine what devices to track. You can read the full documentation on the Home Assistant website. It is critical that you configure your device IDs to match the device fingerprint found by ESPresence (e.g. apple:1007:11-12
).
connect to ESP32
The easiest way to find the fingerprint is to connect the usb cable and monitor the serial port (115200 baud) while bringing a device close to the ESP32. To monitor the serial port you can use the ESPresense terminal. Alternatives: e.g. Arduino monitor function, the PlatformIO
VSCode extension or via platform io pio run --target monitor
.
You should see output similar to the following:
--- Miniterm on /dev/cu.usbserial-39522517AB 115200,8,N,1 ---
--- Quit: Ctrl+C | Menu: Ctrl+T | Help: Ctrl+T followed by Ctrl+H ---
0 New | MAC: 67dc0c979510, ID: apple:0c0e:26
0 New | MAC: 14dc290e58f2, ID: apple:0a01:5
1 Close | MAC: 4277f2521053, ID: apple:1007:11-12
The Close
message will show which devices are under half a meter away. Once you move the device > 1m you will see a Left
message.
monitor MQTT topics
Alternatively, you can monitor the MQTT topics using e.g. MQTT Explorer or the monitoring built into the Home Assistant MQTT integration (Configure -> Listen to topic -> espresense/# -> Start listening will give you all taffic from all nodes). Connect to the Home Assistant MQTT broker (same configuration as used for the ESPresence sensor setup). This groups + shows the rooms
and devices
.
MQTT auto discovery
ESPresense supports MQTT auto discovery, which is enabled by default in Home Assistant. This means a device + entities for each ESP32 sensor will automatically be created.
They appear as device + entities in Mosquitto broker card on the integrations page.
And available in the devices overview.
beacons: configuration.yaml
Each beacon that should be monitored in Home Assistant needs to be added to the configuration.yaml
file.
sensor:
# One entry for each beacon you want to track
- platform: mqtt_room
device_id: "iTrack:xxxxxxxxxxxx"
name: 'ESP Keys'
state_topic: 'espresense/devices/iTrack:xxxxxxxxxxxx'
timeout: 10
away_timeout: 120
- platform: mqtt_room
device_id: "iBeacon:xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx-3-58241"
name: 'ESP Chipolo'
state_topic: 'espresense/devices/iBeacon:xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx-3-58241'
timeout: 10
away_timeout: 120
If you have enrolled a device with a specific name that becomes the device_id to track.
screenshots
MQTT ESP32 Device
beacon: MQTT room sensor in the lovelace UI
ESP32 sensor: binary sensor with telemetry in the lovelace UI
sensors: manual configuration
Normally not needed, but in case MQTT auto discovery is disabled, it is possible to manually add a binary_sensor
for the ESP32 sensor. Note: this does not add the entities that are normally added automatically: set max distance, active scan, query.
mqtt:
binary_sensor:
# One entry per sensor node
- unique_id: 'kitchen'
name: 'Kitchen'
state_topic: espresense/rooms/kitchen/status
json_attributes_topic: espresense/rooms/kitchen/telemetry
payload_on: online
payload_off: offline
device_class: connectivity
- unique_id: 'living_room'
name: 'Living Room'
state_topic: espresense/rooms/living_room/status
json_attributes_topic: espresense/rooms/living_room/telemetry
payload_on: online
payload_off: offline
device_class: connectivity
- unique_id: 'kid_room'
name: 'Kid Room'
state_topic: espresense/rooms/kid_room/status
json_attributes_topic: espresense/rooms/kid_room/telemetry
payload_on: online
payload_off: offline
device_class: connectivity
- unique_id: 'master_bedroom'
name: 'Master Bedroom'
state_topic: espresense/rooms/master_bedroom/status
json_attributes_topic: espresense/rooms/master_bedroom/telemetry
payload_on: online
payload_off: offline
device_class: connectivity