A risk link identification method and apparatus
By combining artificial intelligence models and logical rules to identify risky links, potential link oscillations can be identified in advance, solving the problem of the inability to provide early warnings in existing technologies and achieving stability and resource optimization of communication networks.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Filing Date
- 2026-05-21
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot identify potential link oscillations in advance and lack adaptive mechanisms, resulting in service interruptions and resource consumption in communication networks due to link oscillations. They cannot provide early warnings or prevent oscillations before they occur.
By combining artificial intelligence models and logical rules, this method can predict future link oscillation risks by acquiring link status information, counting the number of disconnections, merging risk rates, and performing risk suppression processing, thereby achieving early identification and prevention of links.
It effectively reduces the impact of link oscillations on service continuity, improves identification accuracy and robustness, reduces invalid rerouting and backswitching operations, and enhances network stability and resource utilization efficiency.
Smart Images
Figure CN122420143A_ABST