大数据特征分析的电能计量资产智能库房管理

Intelligent Warehouse Management of Electric Energy Metering Assets Based on Big Data Characteristic Analysis

针对常规电能计量资产自动化智能库房管理方法滞后,提出新型的智能库房管理方法。方法融合了多种现代化先进技术,实现电能计量器具的自动化、智能化和高效管控。构建出库房电能计量资产信息挖掘的数据模型。通过提取正常电能计量资产大数据与异常数据之间的关系,计算出异常电能计量资产大数据特征。然后对电能计量资产大数据进行加权处理,进而实现数据特征提取。通过大数据挖掘流程实现数据挖掘。试验结果表明,方法的准确率、训练集分类精度较高,数据处理能力强。

Aiming at the lag in the automatic intelligent warehouse management method of conventional electric energy metering assets,a new intelligent warehouse management method was proposed.This research method integrated a variety of modern advanced technologies to realize automatic,intelligent and efficient control of electric energy measuring instruments.The data model of warehouse electric energy metering asset information mining was constructed.By extracting the relationship between the normal electric energy metering asset big data and abnormal data,the abnormal electric energy metering asset big data characteristics were calculated,and then the electric energy metering asset big data was weighted to achieve data characteristics extraction,and realize the data mining through the big data mining process.The test results show that this research method has high accuracy,training set classification accuracy,and strong data processing ability.