摘要
电力系统业务范围广阔,每天都需要处理海量业务数据,工作量巨大。为缓解工作压力,进行基于改进规则描述的综合业务智能辅助处理系统设计研究。该系统主要针对电力设备检修、电力市场营销以及窃电行为发现三个业务数据处理进行设计,首先集成电力设备运行数据、电力销售数据以及用户用电数据,然后运行改进规则,进行数据处理和分析,得出识别电力设备故障、预测售电需求以及找出异常用电的用户。结果表明:所设计系统应用下,性能均满足要求;在功能方面,三个功能业务处理结果的准确率均要好于文献[2]、文献[3]、文献[4]设计的系统的应用效果,由此说明本系统的数据处理能力更强,能够用于电力业务的处理当中,缓解业务处理压力。
the power system has a wide range of business, it needs to deal with massive business data every day, and the workload is huge. In order to alleviate the work pressure, the design of integrated business intelligent assistant processing system based on improved rule description is studied. The system is mainly designed for three business data processing: power equipment maintenance, power marketing and power stealing behavior discovery. Firstly, it integrates power equipment operation data, power sales data and user power consumption data, and then runs improvement rules to process and analyze the data, so as to identify the power equipment fault, improve the service quality and improve the service quality, forecast demand for electricity sales and mining users who steal electricity. The results show that under that application of the designed system;In terms of function, the accuracy of the three functions is better than that of the system designed in literature [2], literature [3] and literature [4], which shows that the data processing ability of the system is stronger.
作者
魏焱
WEI Yan(Guangdong Power Grid Co.,Ltd.,Guangzhou 510000,China)
出处
《自动化与仪器仪表》
2022年第2期219-222,227,共5页
Automation & Instrumentation
基金
科技项目全过程管理智能辅助技术研究(No.GDKJXM20185169)。
关键词
改进规则描述
综合业务
智能辅助处理系统
improved rule description
integrated business
intelligent auxiliary processing system