Research on Automated Monitoring and Early Warning Scheme Based on AIOps
With regard to airport IT informationized operation and maintenance monitoring,the existing manual operation and maintenance methods have problems of low efficiency and incomplete fault warning mechanism.This study explores an IT monitoring and early warning scheme under Artificial Intelligene for IT Operations(AIOps),which combines RCA root cause analysis algorithm and FLOW workflow task arrangement technology.The aim is to achieve the two goals of automated operation and maintenance monitoring management and processized fault early warning,in order to get an AIOps automated monitoring scheme and improve operation and maintenance efficiency.Simulation experiments on actual operation and maintenance data of a domestic airport show that the monitoring scheme proposed in this study can effectively solve the problem of low automation of airport operation and maintenance.
operation and maintenance monitoringAIOpsaggregation classificationfault self-healingroot cause analysisworkflow
万方数据
维普
