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What is a fast Kalman filter analog for weather data?
I connected two sensors to rpi, bmp180 and dht022, data is read every 5 minutes.
Sometimes the sensors give out strange splashes.
How to quickly identify and filter them? I think the Kalman filter will be too complicated for such a task.
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I think a simple comparison with the previous value. If the previous one differs more than (here you need to figure out what is the maximum possible rate of change of the parameter, for example, for temperature, I would indicate 2 degrees), then we write the previous value in the graph and wait for the next one.
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