摘要
随着物联网和信息物理系统时代的来临,更多数据可以被收集和分析,工业大数据也成为行业创新和转型的重要驱动力。与传统互联网大数据不同,工业大数据与工业逻辑紧密结合,详细对比了工业大数据与互联网大数据的区别,结合典型案例,阐述了需求驱动传统制造业变革的过程和工业大数据的发展之路,介绍了工业大数据平台的架构和工作原理。最后以挖掘机业务为例,展示了工业大数据平台的应用效果,并提出共享数据和模型将会使基于数据的应用产生更大的价值。
With the advent of the Internet of things and the era of Cyber Physical System, more data can be collected and analyzed, and industrial big data have become important driving force for industry innovation and transformation. Unlike traditional Internet big data, industrial big data are closely integrated with industrial logic. The difference between industrial big data and internet big data was compared in detail. Combined with the classical cases, the process of demand driven transformation of traditional manufacturing industry and the development path of industrial big data were expounded. The structure and working principles of industrial big data platform were introduced. At last, taking the excavator business as an example, it shows the application effect of the industrial big data platform, and that having a share in data and models will make data based application produce more value was put forward.
出处
《大数据》
2017年第6期27-41,共15页
Big Data Research
关键词
工业大数据
共享数据
平台
智能服务
Jindustrial big data, share data, platform, intelligent service
作者简介
袁爱进（1959-），男，三一集团有限公司教授、副总裁，主要研究方向为智能装备、智能控制、工业大数据。;岳滨楠（1984-），男，博士，上海华兴数字科技有限公司算法工程师，主要研究方向为数据挖掘算法。;闫鑫（1981-），男，上海华兴数字科技有限公司副总经理，主要研究方向为智能控制算法、工业大数据实现。;黄健（1972-），男，上海华兴数字科技有限公司工业大数据部门经理，主要研究方向为工业大数据平台。
