Before You Submit
Problem or Motivation
Currently, ha_washdata relies solely on power consumption patterns from smart plugs to detect and classify appliance cycles. While the existing shape-correlation matching algorithm is sophisticated, adding support for additional physical sensors would significantly improve detection accuracy, especially for distinguishing between similar cycles and identifying specific phases within a cycle.
Proposed Solution
Additional sensor types to complement the power consumption data:
Vibration sensors for washing machines:
- Detect spin cycles with high precision
- Distinguish between wash and spin phases
- Improve detection of pause periods (soaking)
Humidity sensors for dryers:
- Direct measurement of drying progress
- Precise detection of cycle completion
- Eliminate false "end detections" during cooling phases
Temperature sensors for both appliances:
- Track heating phases
- Improve energy consumption correlation
- Better distinguish between similar programs
Related Device Type
General / Not device-specific
Device Brand & Model (if device-specific)
No response
Alternatives Considered
No response
Additional Context
No response
Before You Submit
Problem or Motivation
Currently, ha_washdata relies solely on power consumption patterns from smart plugs to detect and classify appliance cycles. While the existing shape-correlation matching algorithm is sophisticated, adding support for additional physical sensors would significantly improve detection accuracy, especially for distinguishing between similar cycles and identifying specific phases within a cycle.
Proposed Solution
Additional sensor types to complement the power consumption data:
Vibration sensors for washing machines:
Humidity sensors for dryers:
Temperature sensors for both appliances:
Related Device Type
General / Not device-specific
Device Brand & Model (if device-specific)
No response
Alternatives Considered
No response
Additional Context
No response