According to the dynamic threshold value method and
system based on the median and absolute median deviation, the median is used for replacing the average value, and compared with the average value, the median is not sensitive to an extreme value, so that the influence of
noise data on a result can be effectively reduced, and the set threshold value is more stable and reliable; the improved absolute median deviation is used for replacing the standard deviation, so that the insensitivity of the median to an abnormal value is kept, and for a
data set in non-normal distribution, more stable dispersion
estimation is provided; besides, a dynamically adjusted threshold value coefficient is designed, the threshold value is automatically adjusted according to the characteristics of a
data set, it is ensured that the change trend of data can be more sensitively captured, and meanwhile the phenomenon of
false alarm or missing alarm caused by improper setting of a fixed threshold value is avoided. After the method is adopted, the short-term fluctuation and the long-term trend of the data can be reflected more accurately, and a more reliable basis is provided for decision makers.