基于大数据的用电信息采集运维系统设计  

Design of operation and maintenance system for power consumption information collection based on big data

作　　者：吕静贤 朱青 宋灿 孔娜 Jingxian Lv;Qing Zhu;Can Song;Na Kong(Customer Service Center of State Grid Corporation of China,Tianjin 300304,China)

机构地区：[1]国家电网有限公司客户服务中心,天津300304

出　　处：《产业科技创新》2024年第6期44-47,共4页Industrial Technology Innovation

摘　　要：随着用电信息采集系统日趋复杂,传统方法已不足以应对现今数据处理与分析的需求。本文基于大数据技术,探索了分布式计算和分布式缓存技术在优化用电信息采集系统中的应用。通过这些先进技术,不仅提高了系统的数据处理能力,还解决了数据存储和计算的关键问题。本文详细阐述了系统结构的改进和分析能力的增强,展示了如何有效应对大数据时代下用电信息采集系统的挑战,旨在为电力系统的数据采集和处理提供了新的视角和解决方案,以助推电力行业的数字化转型。With the increasing complexity of the power consumption information collection system,the traditional methods are no longer sufficient to meet the needs of today's data processing and analysis.Based on big data technology,this paper explores the application of distributed computing and distributed caching technology in the optimal power consumption information collection system.Through these advanced technologies,not only the data processing capacity of the system is improved,but also the key problems of data storage and computing are solved.This paper elaborates on the improvement of system architecture and the enhancement of analysis capabilities,and shows how to effectively deal with the challenges of power consumption information collection system in the era of big data,aiming to provide new perspectives and solutions for data collection and processing of power systems to promote the digital transformation of the power industry.

关 键 词：大数据关键技术 用电信息采集系统 分布式计算 分布式缓存 

分 类 号：TM732[电气工程—电力系统及自动化]