Vehicle exhaust remote sensing and supervision system and self-learning high-emission vehicle decision algorithm

Abstract

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.

Description

technical field [0001] The invention relates to the field of exhaust gas detection, and more particularly, to a motor vehicle exhaust gas telemetry and supervision system and a self-learning high-emission vehicle determination algorithm. Background technique [0002] The large amount of harmful exhaust gas emitted by motor vehicles burning gasoline or diesel is the main source of air pollutants in the urban environment. Studies have shown that the pollution caused by motor vehicle exhaust accounts for 80% of the air pollution in the entire city. With the continuous increase in the number of motor vehicles, the problem of air pollution is becoming more and more serious. [0003] Usually, without affecting normal traffic, the air pollutant emission status of motor vehicles driving on the road can be supervised and sampled by means of remote sensing monitoring and other technical means. Further, various regulations and standards regarding vehicle exhaust emissions have been pr...

AI Technical Summary

Problems solved by technology

[0006] Usually, the calibration and verification of motor vehicle exhaust telemetry systems are carried out in laboratories. Under laboratory conditions, the accuracy of telemetry equipment is very high, but under outdoor working conditions, due to the lack of effective calibration methods, only fixed concentration A small gas cell for regular calibration of the instrument

However, the diffusion of vehicle exhaust particles is greatly affected by environmental conditions, such as temperature, humidity, wind speed, light, dust, and traffic flow. The accuracy of exhaust gas monitoring is different from the real emission, which will cause discrepancies in the detection results of motor vehicle exhaust remote sensing to a certain extent. bias and misjudgment; in addition, when there is equipment failure in the vehicle exhaust telemetry system, it will be more difficult to objectively evaluate the actual emission level of the vehicle

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