This invention discloses an automatic
verification and risk warning method for international trade information based on smart ports. It collects multi-
source document data, including customs declarations, bills of lading, transportation routes,
payment vouchers, and certificates of origin, and converts them into a standardized format through
field mapping rules. A cross-document
verification rule base is established, and
rule matching is performed on key fields such as
invoice amount and declared price, and bill of lading quantity and packing
list, using a weighted scoring mechanism to calculate consistency scores. A spatiotemporal graph of trade behavior is constructed, and
risk characteristics are statistically analyzed using an improved random walk
algorithm, outputting a dynamic risk
feature matrix. This matrix is matched with a historical risk case
database, and the probability of risks such as smuggling, false declarations, and tax evasion is calculated in conjunction with regional risk benchmarks. Risk thresholds are dynamically adjusted based on port clearance flow, triggering adaptive warnings and generating warning information including warning level,
risk type, and inspection measures, thereby improving the intelligence level of port supervision.