一种基于5G云计算的风电锻造产品数据管理方法
By utilizing edge terminal processing, 5G network optimization, and process knowledge graph analysis, the problem of data heterogeneity in the forging industry has been solved, enabling high-precision quality prediction and automatic process adjustment, thereby improving the level of intelligence in forging production.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANXI TIANBAO GRP CO LTD
- Filing Date
- 2026-05-11
- Publication Date
- 2026-07-17
AI Technical Summary
The forging industry suffers from problems such as heterogeneous data that is difficult to analyze, inability to uniformly express process information, inaccurate extraction of product features, insufficient accuracy in quality prediction, and a lack of automated process adjustment mechanisms. These issues result in poor product consistency, delayed defect warnings, and untimely equipment control.
By collecting multi-source production data through edge terminals for unified preprocessing and feature extraction, dynamically adjusting bandwidth and latency priorities using 5G networks, combining process knowledge graphs for data synchronization and semantic alignment, employing a multi-model integrated computing framework for quality prediction, and generating product digital fingerprints, automatic process adjustment is achieved.
It significantly improves the real-time performance and consistency of data, enhances the accuracy of quality prediction and the level of automation in process adjustment, solves the problem of data interoperability across equipment and manufacturers, and achieves high-quality, high-consistency and intelligent management of the forging production process.
Smart Images
Figure CN122153355B_ABST