HASS-kalman-filter

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HASS-kalman-filter

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Home-Assistant custom integration adding a 1D Kalman filter

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# HASS-kalman-filter
Home-Assistant custom component adding a [1D Kalman filter](https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/blob/master/04-One-Dimensional-Kalman-Filters.ipynb). Some experimentation of the `sensitivity` of the filter may be required.

Place the `custom_components` folder in your configuration directory (or add its contents to an existing `custom_components` folder).

Add to your Home-Assistant config:

```yaml
sensor:
  - platform: filter
    name: "kalman filtered humidity"
    entity_id: sensor.simulated_relative_humidity
    filters:
      - filter: kalman
        sensitivity: 0.8
```
Configuration variables:
- **sensitivity**: (Optional, default 0.8) The sensitivity of the filter, which must be a positive number above 0.

## Simulated sensor
I am using a simulated sensor to generate the input data:
```yaml
sensor:
  - platform: simulated
    scan_interval: 1
    name: 'simulated relative humidity'
    unit: '%'
    period: 20
    amplitude: 0
    mean: 50
    spread: 5
    seed: 999
```

I display the raw and filtered readings using a graph:
```yaml
history_graph:
  humidity:
    entities:
      - sensor.simulated_relative_humidity
      - sensor.kalman_filtered_humidity
```

HASS-kalman-filter

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