基于大数据技术的电力用电营销管理系统设计  

Design of Power Consumption Marketing Management System Based on Big Data Technology

作　　者：宋国龙 SONG Guolong(Marketing Management Center of CNPC Electric Power Production Guarantee Company,Daqing,Heilongjiang 163000,China)

机构地区：[1]中油电能电力生产保障公司营销管理中心,黑龙江大庆163000

出　　处：《自动化应用》2024年第24期160-162,共3页Automation Application

摘　　要：电力行业的快速发展对用电营销管理提出了更高要求。分析了大数据技术的内涵与特征,设计了一套基于该技术的电力用电营销管理系统。系统采用多层架构,涵盖数据采集、存储、计算、可视化等环节,综合运用了分布式存储、内存计算、流处理、机器学习等先进技术,有效解决了海量异构数据的存储和计算瓶颈。通过仿真实验对系统进行了性能测试,结果表明,该系统能够在TB级别数据规模下实现秒级查询响应和万级并发吞吐,为电力行业的精细化营销管理提供了可靠支撑。The rapid development of the power industry has put forward higher requirements for electricity marketing management.Analyzed the connotation and characteristics of big data technology,and designed a power consumption marketing management system based on this technology.The system adopts a multi-layer architecture,covering data collection,storage,computation,visualization and other aspects.It comprehensively utilizes advanced technologies such as distributed storage,memory computing,stream processing,machine learning,etc.,effectively solving the storage and computation bottleneck of massive heterogeneous data.The performance of the system was tested through simulation experiments,and the results showed that the system can achieve second level query response and ten thousand level concurrent throughput at TB level data scale,providing reliable support for refined marketing management in the power industry.

关 键 词：电力营销 大数据 性能测试 海量异构数据 万级并发吞吐 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]