电力监控信息智能提取与分类处理的系统及方法

System and Method for Intelligent Extraction and Classification Processing of Electric Power Monitoring Information

随着广东电网调控一体化的全面实施,监控员需管理整个地区电网的海量数据。然而,监控系统只能实现监视,所有信息的记录都通过人工在办公计算机上编辑完成,统计方法落后,耗费大量的时间和精力,还不能保证数据的准确性。为此,提出一种监控事故和异常信息的智能提取与分类处理的系统及方法,通过该系统及方法,实时提取EMS系统中的事故和异常信息,一键生成缺陷信息,并分类展示,实现信息的智能化管理。

With the full implementation of regulation and control integration of Guangdong power grid,supervisors need to manage the massive data of the whole regional power grid.However,the monitoring system can only realize monitoring.All the information records are manually edited on the office computer.The statistical methods are backward,consuming a lot of time and energy,and cannot guarantee the accuracy of the data.Therefore,this paper presents a system and method for intelligent extraction and classification processing of accident and abnormal information.Through this system and method,the accident and abnormal information in EMS system can be extracted in real time,and defect information can be generated with one click and then displayed by classification to realize the intelligent management of information.