Intelligent port-based international trade information automatic verification and risk early warning method

By establishing a unified data dictionary, rule engine and weighted scoring mechanism, spatiotemporal graph analysis and dynamic risk assessment, the problems of data integration and risk identification in international trade information verification and risk early warning have been solved, and efficient and accurate supervision of smart ports has been achieved.

CN122243518APending Publication Date: 2026-06-19CHANGSHA JIAOTONG LOGISTICS CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHANGSHA JIAOTONG LOGISTICS CO LTD
Filing Date
2026-03-04
Publication Date
2026-06-19

AI Technical Summary

⚠Technical Problem

Existing international trade information verification and risk warning technologies suffer from insufficient data integration capabilities, limited risk identification accuracy, and poor dynamic adaptability, making it difficult to meet the needs of smart port construction for efficient, accurate, and intelligent supervision.

⚗Method used

By establishing a unified data dictionary to achieve standardized integration of multi-source heterogeneous document data, a rule engine and weighted scoring mechanism are used for intelligent verification across document fields. A spatiotemporal graph of trade behavior is constructed and an improved random walk algorithm is used to mine associated risk characteristics. By combining historical case similarity matching and regional risk benchmark adjustment, risk thresholds are dynamically adjusted to trigger adaptive early warnings.

🎯Benefits of technology

It has significantly improved the intelligence level of port supervision, the accuracy of risk identification, and the efficiency of regulatory resource allocation, effectively preventing illegal and irregular activities such as smuggling, false declarations, and tax evasion, and safeguarding national economic security and trade order.

✦ Generated by Eureka AI based on patent content.

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Abstract

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.
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