Research on AIOps-based intelligent monitoring technology for meteorological business
Changliang Zhang, Wenqin Chen, Yinhai Xie · 2024
The article focuses on the research of business monitoring key technologies based on AIOps, and designs relevant intelligent algorithms, which are applied to meteorological business for experimental validation. The algorithm of alarm compression and correlation achieves the compression and correlation of alarms by analyzing and processing alarm data, which helps to reduce repetitive and redundant alarm information, improve the readability and comprehensibility of alarms. The root cause analysis algorithm identifies the root cause of anomalies by in-depth analysis and mining of abnormal data, which helps to quickly locate and solve problems and reduce business interruption time. The capacity forecasting and analysis algorithm predicts the future demand for system resources by combining historical data and trend analysis, which helps to optimize resource allocation and make preparations for expansion or optimization in advance. These intelligent monitoring technologies work well in meteorological business, enhancing the support capability of “Tianjing” for the “cloud + end” business system, realizing efficient and intelligent monitoring and management.