The invention relates to the technical field of industrial
data management, in particular to a supply chain data real-time integration
processing method and
system based on multi-source heterogeneous data, and the method comprises the steps: obtaining an external compliance data document, calling a
document layout analysis model based on a multi-
modal converter, extracting a text
semantic vector, fusing the text
semantic vector with a two-dimensional space coordinate feature to generate a
composite index key, and carrying out the real-time integration
processing of the supply chain data. Executing clustering analysis to recognize the text blocks and generating structured
metadata; carrying out
discretization processing on the business
transaction data flow, and constructing an associated
database with production environment and logistics data as attributes; executing cross-
modal entity alignment by using the structured
metadata, and establishing a bidirectional pointer link between the unstructured document index and the associated
database; receiving a query vector, executing a recursive traversal
algorithm based on a bidirectional pointer link, calculating a
cascade influence probability as a correlation sorting
score, and outputting a
retrieval result; through multi-
modal feature fusion and cross-modal entity alignment,
deep integration and risk linkage retrieval of supply chain heterogeneous data are realized.