Multi-source heterogeneous data association analysis method for multiple emission detection methods of diesel vehicle and diesel engine based on VSP working condition

Abstract

The invention requests to protect a multi-source heterogeneous data association analysis method for multiple emission detection methods of a diesel vehicle and a diesel engine based on a VSP (vehiclespecific power) working condition. The method includes: acquiring multi-source detection data and a working condition point group, acquiring equivalent working condition points according to VSP Bin classification statistics, retaining the equivalent working condition points with a working condition weight of larger than 0 as final equivalent working condition points, replacing an original workingcondition point group with the obtained equivalent working condition points, and performing association analysis on correlation among the multi-source detection data. Directed at multiple emission detection methods provided in multiple emission laws and regulations, correlation between different detection methods is determined by applying correlation analysis, and technical support is provided forsimplifying the detection methods, improving the emission detection efficiency and realizing real-time monitoring. The correlation analysis shows that great correlation exists among an OBD actual road detection method, a PEMS detection method, a drum detection method, a rack detection method and the like, and mutual prediction among 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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