A multi-source data association analysis method based on various emission detection methods of diesel locomotives based on v-a working conditions

Abstract

The invention relates to a multi-source data correlation analysis method on the basis of multiple emission detection approaches of a diesel locomotive under V-a work conditions. By obtaining multi-source detection data and a work condition point group, equivalent work condition points are obtained by means of V-a Bin classification statistics, the equivalent work condition point with the work condition weight greater than 0 is reserved as the final equivalent work condition point, the obtained equivalent work condition points can substitute the original work condition point group, and correlation analysis of the correlation of the multi-source detection data is carried out. On the basis of the emission detection approaches proposed in a plurality of emission regulations, the correlation between the detection approaches is determined by means of the correlation analysis, and technical supports are provided for simplifying the detection approaches, improving the emission detection efficiency and realizing real-time monitoring. By means of the correlation analysis, it is indicated that there is a great correlation among the OBD actual road detection approach, the PEMS detection approach, the drum detection approach, the gantry detection approach and other approaches, and mutual prediction of results of the detection approaches can be realized through a reasonable means.

Description

technical field [0001] The invention is a multi-source data association analysis method based on V-a working condition division of various emission detection methods, which is used to calculate the degree of association between different detection methods and quantify the association relationship of multi-source results of different detection methods for diesel engines / vehicles. It 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 discharge of four pollutants from motor vehicles na...

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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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