A multi-source heterogeneous data association analysis method based on vsp working conditions for multiple emission detection methods of diesel vehicles and diesel engines

Abstract

The present invention claims to protect a multi-source heterogeneous data association analysis method based on VSP working conditions of various emission detection methods of diesel vehicles and diesel engines, obtain multi-source detection data and working condition point groups, and obtain equivalent work according to VSP Bin classification statistics Condition point, the equivalent working condition point whose working condition weight is greater than 0 is reserved as the final equivalent working condition point, the obtained equivalent working condition point can replace the original working condition point group, and the correlation between multi-source detection data Perform association analysis. Aiming at various emission detection methods proposed in multiple emission regulations, the invention uses correlation analysis to establish the correlation between different detection methods, and provides technical support for simplifying detection methods, improving emission detection efficiency and realizing real-time monitoring. The correlation analysis shows that there is a great correlation between the OBD actual road detection method, PEMS detection method, drum detection method, bench detection method, etc., and the mutual prediction between the results of different detection methods can be realized through reasonable means.

Description

technical field [0001] The present invention is a multi-source heterogeneous data association analysis method based on VSP working conditions of multiple emission detection methods of diesel vehicles and diesel engines, which is used to calculate the degree of association between different detection methods and quantify the multiple sources of different detection methods of diesel engines / vehicles The correlation of the results provides technical support for the correlation and mutual prediction of the detection results of different detection methods, and belongs to the optimization and integration technology of automobile emission detection. Background technique [0002] At present, mobile source pollutant emissions such as motor vehicles in the transportation field have become a major problem in environmental governance in my country. By the end of 2017, the number of motor vehicles in the country reached 310 million. In 2017, the preliminary calculation of the total disc...

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Problems solved by technology

[0018] The present invention is mainly aimed at the current situation that multiple emission detection methods coexist in the current emission regulations. In practical applications, multiple detection methods coexist, and there is repeatability in emission detection, which increases the complexity of the test and reduces the economy of detection. Therefore, It is very meaningful to explore the correlation of different detection methods to simplify the detection method

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