基于数据挖掘的车联网告警处理方法研究

Research Method of Alarm Processing Based on Data Mining for EChargeNet

为了方便电动汽车充电网络网管人员快速的从告警数据信息中获取有用信息、准确定位故障点,本文设计了智能告警分析系统,由告警数据采集、告警数据相关性分析、告警分析结果界面呈现等构架完成。系统内对实时告警信息及历史告警信息进行数据信息挖掘,通过相关性分析机制实现告警的匹配和识别,减少噪声告警信息,提升网管效率。

In order to accelerate key information extraction from alarm data and locate the breakdown point for EChartNet management stuff,this paper designs a new intelligent alarm analysis system,consisting of alarm collection,alarm data correlation analysis and alarm analysis interface rendering.In the system,real-time alarm information and historical alarm information are collected for data mining.Matching and identification of alarms are implemented through the correlation analysis mechanism to reduce noise alarm information and improve network management efficiency.