Aiming at problem that infrared gas sensor is easy to be affected by temperature

pressure and other physical environment

which most likely bring noise points in gas concentration data set

always gives inaccurate results

propose a method which combines advantages of both differentiation distance and K-means algorithm

the method blended advantages of differentiation distance and K-means algorithm. Distance differentiation of gas concentration data set aquired by designed sensor is carried out; use K-means algorithm combined with isolation degree coefficient to find out noise points and discard them directly; mean value method is chosen to calculate gas concentration. Experimental results show that measurement error is less than 1 %

and precision is high.