通信网络故障预警分析方法、系统及终端
By constructing a historical fault information table and identifying fault status using fluctuation scores, and combining fault feature templates to analyze problem nodes, the problem of difficult deployment and location of fault prediction in existing technologies has been solved, achieving accurate fault early warning and location.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 南京弘竹泰信息技术有限公司
- Filing Date
- 2026-04-20
- Publication Date
- 2026-07-17
AI Technical Summary
Existing communication equipment fault prediction technologies are difficult to deploy in large-scale network environments and difficult to locate specific fault points. Existing methods are complex and prediction models are difficult to capture the inherent patterns of equipment, resulting in superficial fault analysis.
By constructing a historical fault information table, generating an information table to be evaluated based on operational data, identifying fault states using fluctuation scoring, analyzing problem nodes through fault feature templates, and outputting fault warning signals.
It enables accurate fault identification and location in large-scale network environments, provides specific fault location basis, and improves the accuracy and efficiency of fault prediction.
Smart Images
Figure CN122069176B_ABST