Port safety dynamic evaluation system and method based on double-database cooperation
By performing time-series aggregation and semantic deduplication on fragmented data from equipment ledgers and operation records, combined with graph analysis and consistency verification, the problems of redundancy, conflict, and logical distortion in the port safety dynamic evaluation system were solved, thus achieving accuracy and efficiency in port safety evaluation.
Patent Information
- Application Number
- CN202610383727.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-26
- Publication Date
- 2026-07-10
AI Technical Summary
The existing port safety dynamic evaluation system suffers from redundancy, conflict, and logical distortion when faced with frequently updated equipment status and operational data. This results in evaluation results that lose their reference value and affect the accuracy of port production safety decisions.
By receiving fragmented basic data from equipment ledgers and work records, time-series aggregation and semantic deduplication feature extraction are performed to generate a structured incremental update instruction set. This set is then linked with the evaluation logic dependency tree in the tagged standard database to perform graph walk structure attenuation degree and time-series operation frequency domain distortion peak number analysis, construct a damaged logic subgraph, complete bidirectional consistency verification and conflict resolution coding, generate an updated state evaluation node sequence, and finally atomically synchronize it to the tagged standard database.
Effectively organize duplicate and disordered records in equipment ledgers and operation logs, limit the scope of actual impact, ensure the continuity of the evaluation call chain and the accuracy of evaluation results, reduce system computing overhead, and improve the accuracy of port safety decisions.
Smart Images
Figure CN122367231A_ABST