一种基于边缘计算的船舶检验数据处理方法、设备及介质
By performing consistency parsing and normalization verification of low-code configuration data in edge computing nodes, and generating field configuration sets and certificate template configuration sets, the problem of inconsistent mapping of multimodal verification data is solved, the traceability of certificate field values and the accuracy of verification data processing are realized, and the retrieval response efficiency and document generation consistency are improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA CLASSIFICATION SOCIETY IND CO LTD
- Filing Date
- 2026-01-27
- Publication Date
- 2026-07-17
AI Technical Summary
Existing ship inspection data processing methods suffer from low-code configuration, multi-source iteration, and lack of consistency parsing and standardization verification for inspection tasks. This results in unstable mapping of multimodal inspection data fields, difficulty in tracing certificate field values back to specific source data, and a lack of multidimensional retrieval indexes and paired organization of inspection views, leading to high costs for edge-side retrieval and inaccurate output.
In edge computing nodes, consistency parsing and normalization verification of low-code configuration data are performed, generating field configuration sets, view configuration sets, and certificate template configuration sets. Multimodal verification data is mapped to the original dataset, and time and space identifiers are added to form a spatiotemporal labeled result set. Field-level associations are established, and a traceable mapping index set is generated. Multidimensional retrieval and document generation are achieved by combining multidimensional retrieval indexes with verification views.
It improves the stability and cross-task reusability of on-site data processing, reduces the cost of review and accountability, and enhances retrieval response efficiency and the accuracy and auditability of verification data processing documents.
Smart Images
Figure CN122019541B_ABST