Single-document time-sequential ledger consistency risk prediction and blockchain validation system and method

By combining a document time-series ledger and the Transformer risk prediction model with blockchain smart contracts, the problems of inconsistent document information and abnormal tampering are solved, enabling real-time risk warning and dynamic verification, thereby improving the security and efficiency of shipping trade.

CN122155424APending Publication Date: 2026-06-05ZHOUSHAN DONGHAI MICROCORE OCEAN DIGITAL SCIENCE INSTITUTE

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHOUSHAN DONGHAI MICROCORE OCEAN DIGITAL SCIENCE INSTITUTE
Filing Date
2026-03-19
Publication Date
2026-06-05

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Abstract

The application discloses a system and method for single document time sequence account book consistency risk prediction and blockchain verification, and relates to the technical fields of blockchain and artificial intelligence. The system comprises: a single document time sequence account book module, which is used for recording the event sequence of multiple types of single documents in a business process in chronological order to form an event sequence account book; a Transformer risk prediction model, which is used for analyzing the event sequence and outputting risk assessment results of risk scores, inconsistency confidence and suspicious field prediction; a blockchain smart contract module, which is used for dynamically adjusting the single document verification strategy according to the risk assessment results; and an interactive interface module, which is used for connecting the Transformer risk prediction model and the blockchain smart contract module to realize real-time feedback of risk results and contract response. The application realizes intelligent prediction and real-time dynamic verification of consistency risks in the single document circulation process, and improves the security and efficiency of trade single document collaborative processing.
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