The invention discloses an
automobile emission monitoring method and
system based on multi-source emission data fusion, and relates to the technical field of motor vehicle
exhaust emission monitoring, and the method comprises the steps: carrying out the multi-
source data fusion according to the
road surface data, meteorological data, driving state and engine operation state of historical vehicles, and then constructing an emission
simulation model; the model outputs a qualified value range of each
exhaust gas content in the
exhaust emission amount; the actual measurement value of each gas content in the
tail gas emission amount under the current actual condition is collected in real time, and is compared with the qualified value range of each
exhaust gas content in the
tail gas emission amount output according to the emission
simulation model for analysis, whether each
exhaust gas content is qualified is judged, and if an unqualified or abnormal item exists, the
tail gas emission amount is judged to be qualified. Labeling the text description and converting the text description into a
structured text description; according to the method, an emission
system causal graph is constructed, corresponding abnormal reasons are positioned in the emission
system causal graph according to
structured text description, potential faults possibly existing in the vehicle are analyzed, the monitoring accuracy is improved, and the system
false alarm rate is reduced.