Multi-source heterogeneous data association analysis method for multiple emission detection methods of diesel vehicle and diesel engine based on VSP working condition
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 w...
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Main Authors | , , , , , , , , , , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
08.05.2020
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Subjects | |
Online Access | Get full text |
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Summary: | 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 |
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Bibliography: | Application Number: CN201811276467 |