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Aqara PETC1-M01 in Home Assistant
Appliances · Zigbee · Smart pet feeder C1
Zigbee2MQTT
No quirk
1 open report
Zigbee2MQTT has a definition for this device. ZHA has no quirk for it – many devices work in ZHA without one, but features outside the Zigbee standard may be missing.
Facts about this device
- Brand
- Aqara
- Model
- PETC1-M01
- Device type
- Appliances
- Radio
- Zigbee
- Power
- Mains powered
- Same device as
- Aqara ZNCWWSQ01LM
- Zigbee2MQTT
- Device page on zigbee2mqtt.io
How the device gets into Home Assistant
- official ZHA – with a Zigbee coordinator and the ZHA integration. A device that follows the Zigbee standard works without a quirk; how completely this model does is not confirmed.
- official Aqara hub – paired with an Aqara hub that works as a Matter bridge (such as the M3 or M2), which shares supported devices with Home Assistant.
- add-on Zigbee2MQTT – Zigbee2MQTT runs as an add-on and passes the device on to Home Assistant over MQTT.
Known problems and fixes
Requests for ZHA support
- support requested The Aqara pet feeder cannot be scheduled in Home Assistant, and support is requested to enable this feature.
ZHA quirks for this device
There is no quirk for this device – neither in ZHA nor proposed or shared as a custom quirk.
Alternatives
The same job from other makers – devices of the same type and radio that work with Home Assistant too.
-
IKEA E2006 Appliances · Zigbee · STARKVIND air purifier table Zigbee2MQTT Review
- Inovelli VZM35-SN Appliances · Zigbee · Fan controller Zigbee2MQTT ZHA quirk Review
- Mercator Ikuü SSWF01G Appliances · Zigbee · AC fan controller Zigbee2MQTT ZHA quirk Review
- Airzone AZAI6ZBEMHI Appliances · Zigbee · Gateway for two-way control and integration of AirCon Units.AZAI6ZBEMHI for Mitsubishi Heavy Zigbee2MQTT
Sources: Zigbee2MQTT, ZHA quirks, Z-Wave JS, the Matter certification database, Shelly, ESPHome, Tasmota, Tuya Local and the issue trackers on GitHub. Reports are assigned to a device by the identifiers they contain; the sentences come from the integration pages, where a language model writes them from the titles.
