面向大数据分析的省网电能计量管理系统设计与实现

Design and realization of the provincial energy-metering management system in the perspective of big data analysis

随着电网信息化工作的深度推进,电能计量监测和计算数据逐渐呈现出大数据的特点.为了管理和分析海量的电能计量数据,设计并实现了一个面向大数据分析的电能计量管理系统,采用Hadoop大数据分布式处理框架,分布式采集计量相关信息化系统数据、关口数据、检测数据、装置检定信息等数据,通过数据挖掘实现电能表基本误差分析、电能表健康状况评估和综合分析,并开发电能计量关口地图,融合网络拓扑图和GIS信息,全景展示电能计量信息.所设计的系统不仅能够支撑省公司各电力部门电能计量准确性和质量管控工作,对解决计量管理智能化和电网信息化过程中其他大数据问题也具有参考意义.

With the informatization of the power grid being advanced,the data of energy measurement and analysis have begun to possess the characteristics of big data. The data include those of the information system,the gateway,the device verification information and so on. In order to manage and analyze such massive data,this paper designs and implements an energy-metering management system. It uses the Hadoop framework to collect and analyze the data,and achieves the basic error analysis of the meters,as well as the assessment and comprehensive analysis of the operation of the energy meters by the distributed data mining. Additionally,it draws the map of the energy measurement gateway to integrate the network topology and GIS information as a panoramic display map.This system can not only improve the energy measurement accuracy and quality control of the company,but also provides a reference for solving other big data problems concerning the informatization of the power grid and smart metering management.