大数据:内涵、技术体系与展望  

Big data: connotation,technical framework and its development

作　　者：彭宇[1] 庞景月 刘大同[1] 彭喜元[1] 

机构地区：[1]哈尔滨工业大学电气工程及自动化学院自动化测试与控制系,哈尔滨150080

出　　处：《电子测量与仪器学报》2015年第4期469-482,共14页Journal of Electronic Measurement and Instrumentation

基　　金：国家自然科学基金(61301205);高校博士点基金(20112302120027);部委预研重点基金(9140A17050114HT0-1054)资助项目

摘　　要：随着复杂系统测试、试验和状态监测产生的数据呈级数增长,大数据逐渐成为各种工业领域的研究热点。为此,从大数据定义、产生、特性的角度阐述大数据的内涵,重点强调大数据产生三要素的彻底变革,并按照大数据处理流程——产生、存储、预处理、分析及挖掘、呈现,归纳得出大数据处理的通用技术体系,分析了技术体系中各环节技术的发展现状。最后,从数据科学、工业4.0以及信息物理系统的角度,阐述大数据发展的趋势,并分析了大数据发展的挑战。The large amount of data increases significantly in the tests, experiments and condition monitoring of com-plex system, the big data becomes the research hotspot in various industrial fields.Thus, connotation of big data is concluded from its definition, production and characteristics, etc.And this work also focuses on the three generation elements to show the inevitability and specialty of the era of big data.In accordance with the big data processing pro-cedures involving its production, storage, pretreatment, analysis, mining and presentation, this paper summarizes the universal technology framework for the big data processing.Moreover, the development status of technologies involved in the framework is also analyzed in detail.Finally, from the view of data science, industrial 4.0 and cyber-physical system, the trend and challenges are further explained.

关 键 词：大数据 工业4.0 信息物理系统 HADOOP 云存储 

分 类 号：TP806[自动化与计算机技术—检测技术与自动化装置]