大规模物联网数据的实时处理与存储  

Real Time Processing and Storage of Large-Scale IoT Data

作　　者：石磊 李鹏 SHI Lei;LI Peng(China Information&Designing Institute Co.,Ltd.,Nanjing 210019,China)

机构地区：[1]中通服咨询设计研究院有限公司,江苏南京210019

出　　处：《通信电源技术》2024年第4期146-148,共3页Telecom Power Technology

摘　　要：详细探讨大规模物联网数据的实时处理与存储技术及其在智能城市交通管理等应用中的重要性。针对物联网数据的多样性、高并发、时变性以及异构性等特点,介绍流式处理、复杂事件处理(Complex Event Processing,CEP)、时序数据库以及分布式文件系统等主流技术,并结合智能交通管理案例,阐述这些技术在实时监测、交通调控、事件预警和长期趋势分析等方面的应用效果,为构建高效、实时的物联网数据处理与存储系统提供了理论支持和实践指导。This paper comprehensively explores the real-time processing and storage technologies of large-scale Internet of Things data and their significance in applications such as intelligent urban traffic management.Addressing the characteristics of Internet of Things data including diversity,high concurrency,temporal variation,and heterogeneity,mainstream technologies such as stream processing,Complex Event Processing(CEP),time-series databases,and distributed file systems are introduced.Through the lens of intelligent traffic management,the paper elaborates on the application effects of these technologies in real-time monitoring,traffic control,event prediction,and long-term trend analysis,providing theoretical support and practical guidance for building efficient and real-time Internet of Things data processing and storage systems.

关 键 词：物联网 实时处理 数据存储 流式处理 分布式文件系统 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]