The invention relates to a subway BOM
ticket business
processing method and
system based on
artificial intelligence, and solves the problems that the
verification accuracy is reduced, the
processing efficiency is low and the overall adaptability is insufficient due to the fact that an existing subway BOM
system excessively depends on a single
electronic data dimension and a fixed process. The method comprises the following steps of: extracting and verifying visual and electronic characteristics by acquiring
ticket card images and
electronic data and adaptively switching acquisition
modes; and when the
verification is passed, performing secondary
verification by using the multi-
modal knowledge graph and combining space-time anomaly enhancement to associate the preferential rule. And when the verification fails or the features do not reach the standard, analyzing the emotion of the user, diagnosing an abnormal
root cause, and dynamically optimizing
system parameters to generate guidance by taking the abnormal
root cause as a target. And finally, intelligent
ticket business routing is carried out based on
reinforcement learning or an adaptive scheme is executed according to
risk assessment, so that whole-process intelligent
processing is realized. The method has the advantages that dynamic
adaptation of metro ticket business processing is achieved, and efficiency and recognition precision are improved.