The invention relates to a vehicle exhaust
remote sensing and supervision
system and a self-learning high-emission vehicle decision
algorithm. The decision
algorithm comprises the following steps of (S1) collecting
time synchronization data of a calibrated vehicle through an exhaust
remote sensing monitoring
station and vehicle-mounted exhaust detection equipment, wherein the data include an operating condition,
pollutant concentration, vehicle information, road information, environmental parameters and a decision result; (S2) merging the
time synchronization data obtained through the exhaust
remote sensing monitoring
station and the vehicle-mounted exhaust detection equipment into an
exhaust emission data set of the calibrated vehicle; (S3) carrying out cleaning treatment on the data in a sample
data set; and (S4) establishing a self-learning emission decision
algorithm model for the sample
data set in the step (S3), training an exhaust remote sensing detection result correction model of the calibrated vehicle by taking the
exhaust emission data set of the calibrated vehicle as an input variable and the decision result of the vehicle-mounted exhaust detection equipment as an output variable and achieving real-time online or offline correction of the exhaust remote sensing detection result of the calibrated vehicle, thereby making the high-emission vehicle decision result more reliable.