一种设备业务故障分级检测与预警聚合分析模式研究  

Research on the Model of Equipment and Business Fault Classification Detection and Early Warning Clustering Analysis

作　　者：阮晓龙[1] 刘海滨 RUAN Xiaolong;LIU Haibin(School of Information Technology,He'nan University of Traditional Chinese Medicine,Zhengzhou 450046;Intelligent Operation and Maintenance Division,Zhengzhou Qishi Information Technology Co.,Ltd.,Zhengzhou 450008)

机构地区：[1]河南中医药大学信息技术学院,郑州450046 [2]郑州祺石信息技术有限公司智慧运维事业部,郑州450008

出　　处：《计算机与数字工程》2021年第5期961-965,共5页Computer & Digital Engineering

摘　　要：传统故障预警检测方法存在普适性差、预警信息不详细、缺乏针对性的问题。针对当前遇到的问题,通过分析设备业务运行状态与监控统计数据特点,将分类与聚合的方法应用于设备业务故障预警检测,设计了一种设备业务故障分级检测与预警聚合分析模式,并详细阐述该检测模式的实现方法。The traditional fault warning detection method has some problems such as poor universality,not detailed warning information and lack of pertinence.As for the problems,a model of equipment and business fault classification detection and early warning aggregate analysis is designed with the application of classification and aggregation method,through the analysis of equip⁃ment operation status and monitoring statistical data characteristics.The realization method of the detection pattern is described in detail.

关 键 词：报文检测 数据分析 实时探测 预警规则 聚合计算 

分 类 号：TP302[自动化与计算机技术—计算机系统结构] TP311[自动化与计算机技术—计算机科学与技术]