一种运维数据分析系统及方法
By introducing event time and data entry time dimensions into the multi-source operation and maintenance system, calculating the delay feature distribution and generating a global water level, and constructing transient and final state trajectories, the impact of delay data on operation and maintenance trajectories is resolved, the stability and consistency of operation and maintenance data analysis are achieved, and accurate comprehensive operation and maintenance reports are generated.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANGHAI SUQING SOFTWARE CO LTD
- Filing Date
- 2026-04-03
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies for multi-source operation and maintenance systems, delayed data entering the analysis system affects existing operation and maintenance trajectories, leading to inconsistencies between real-time and offline analysis results. The lack of boundary mechanisms to limit the scope of the impact of delayed data makes it difficult to balance real-time performance and eventual consistency, thus affecting the stability and interpretability of the operation and maintenance data analysis system.
By introducing two time dimensions, event time and entry time, the delay characteristic distribution of each source system is calculated and a global water level is generated. Transient and final state operation and maintenance trajectories are constructed. Delay events are handled by combining version evolution and patch trajectories. An operation and maintenance analysis model is constructed to generate a comprehensive operation and maintenance data report.
It significantly improves the stability and interpretability of multi-source operation and maintenance data fusion analysis, ensures the final consistency and auditability of operation and maintenance trajectories, takes into account real-time processing needs, and generates accurate comprehensive operation and maintenance data reports.
Smart Images
Figure CN121979717B_ABST