I have several sensor type:
- Sound (Range: 0 - 20)
- Light (Range: 0 - 600)
Both sound and light sensors have an expected range for their values. Temperature sensors are expected to stay pretty constant for the most part. I am trying to figure out the best way to detect outlier values for these sensor types. Currently I am looking at using a normal distribution of a rolling window over the past several hours.
I believe this will work fine for temperature sensors. However, with a sound sensor, sound may not always be present. It may suddenly be present after a day of no actual sound. The same thing with light.
Do I just accept large jumps in values as 'normal'? If no sound exists, and there is a jump then how could that be detected?
I am running into a bit of a brick wall, and would appreciate any suggestions you may have.