Hi
I Have a temperature sensor which you can see its item value in the graph. This sensor works based on pulling interval.
the problem is, the sensor sometimes send one abnormal value and switch to normal value in the next pulling (highlighted in the graph).
Is there any way (like preprocessing) to filter out these abnormal value?
p.s. All abnormal values are in range so "In range" preprocessing doesn't work for me.
p.s. I think that I should compare the item last() with avg(#5) and find incorrect sudden change. but I don't know how.

I Have a temperature sensor which you can see its item value in the graph. This sensor works based on pulling interval.
the problem is, the sensor sometimes send one abnormal value and switch to normal value in the next pulling (highlighted in the graph).
Is there any way (like preprocessing) to filter out these abnormal value?
p.s. All abnormal values are in range so "In range" preprocessing doesn't work for me.
p.s. I think that I should compare the item last() with avg(#5) and find incorrect sudden change. but I don't know how.