The invention relates to the technical field of atmospheric
pollutant detection, and discloses a method and a
system for detecting excessive emission of
atmospheric pollutants. The method comprises the following steps: acquiring
pollutant concentration data of multiple monitoring points in a target area to form an
original data set; abnormal value detection and correction are carried out on the
data set, sensor fault outliers are eliminated, and a preprocessed
data set is obtained; extracting concentration change trend characteristics in a preset time window of each monitoring point, and constructing a spatial-temporal
characteristic matrix; inputting the matrix into a
pollutant diffusion model, calculating a transmission path and strength between monitoring points, and generating a regional
transmission network; identifying a
potential source region of abnormal fluctuation of pollutant concentration based on a network, and marking the
potential source region as a candidate region to be checked; performing multi-scale
concentration gradient analysis on the candidate area, and determining a key monitoring area; arranging mobile equipment in the key monitoring area, and collecting high-precision component data; and comparing the data with a standard emission source feature
library, matching emission source types of which the similarity exceeds a threshold value, judging whether the emission exceeds the standard or not, and generating a detection report.