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Added time throttle filter docs (#8245)

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Andrey Kupreychik 2019-01-25 19:47:30 +07:00 committed by Franck Nijhof
parent 05d9731292
commit 770908731f
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source/_components/sensor.filter.markdown
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@ -70,7 +70,7 @@ filters:
type: list
keys:
filter:
description: Algorithm to be used to filter data. Available filters are `lowpass`, `outlier`, `range`, `throttle` and `time_simple_moving_average`.
description: Algorithm to be used to filter data. Available filters are `lowpass`, `outlier`, `range`, `throttle`, `time_throttle` and `time_simple_moving_average`.
required: true
type: string
window_size:
@ -149,6 +149,14 @@ To adjust the rate you need to set the window_size. To throttle a sensor down to
This filter is relevant when you have a sensor which produces states at a very high-rate, which you might want to throttle down for storing or visualization purposes.
### {% linkable_title Time Throttle %}
The Time Throttle filter (`time_throttle`) will only update the state of the sensor for the first state in the window. This means the filter will skip all other values.
To adjust the rate you need to set the window_size. To throttle a sensor down to 1 value per minute, the `window_size` should be set to 00:01.
This filter is relevant when you have a sensor which produces states at a very high inconstant rate, which you might want to throttle down to some constant rate for storing or visualization purposes.
### {% linkable_title Time Simple Moving Average %}
The Time SMA filter (`time_simple_moving_average`) is based on the paper [Algorithms for Unevenly Spaced Time Series: Moving Averages and Other Rolling Operators](http://www.eckner.com/papers/Algorithms%20for%20Unevenly%20Spaced%20Time%20Series.pdf) by Andreas Eckner.