数据湖在物联网数据处理中的创新应用  

Innovative Application of Data Lake in IoT Data Processing

作　　者：张天一 姜曼 杨雨晨 张涛 ZHANG Tianyi;JIANG Man;YANG Yuchen;ZHANG Tao(CNOOC Research Institute Co.,Ltd.,Beijing 100028,China;China Electronics System Technology Co.,Ltd.,Beijing 100089,China)

机构地区：[1]中海油研究总院有限责任公司,北京100028 [2]中国电子系统技术有限公司,北京100089

出　　处：《自动化应用》2025年第2期242-244,共3页Automation Application

摘　　要：数据湖相较于传统的数据仓库具备更强的弹性扩展能力,能够根据实际需求灵活地扩展存储和计算资源,有效降低成本。数据湖支持实时数据处理和分析,在物联网(IoT)应用中具有重要意义。介绍了数据湖在物联网数据处理中的创新应用。数据湖的集中存储平台可以汇总各类物联网设备和传感器的数据,包括结构化、半结构化和非结构化数据。此外,数据湖支持多种数据格式和接口,可以轻松接入各种物联网设备和平台。企业可以更便捷地管理和访问数据,提高数据的利用效率,进而训练更精准的预测模型,提升物联网应用的智能水平。Compared with traditional data warehouses,data lakes have stronger elasticity and scalability,and can flexibly expand storage and computing resources according to actual demand,effectively reducing costs.Data lake supports real-time data processing and analysis,which is of great significance in Internet of Things(IoT)applications.This paper introduces the innovative application of data lake in IoT data processing.The centralised storage platform of the data lake enables the aggregation of data from various types of IoT devices and sensors,including structured,semi-structured and unstructured data.In addition the data lake supports multiple data formats and interfaces,allowing easy access to a variety of IoT devices and platforms.Enterprises can manage and access data more conveniently,improve the efficiency of data utilisation,and then train more accurate prediction models to enhance the intelligence of IoT applications.

关 键 词：数据湖 数据处理 物联网 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]