摘要
工业大数据是工业企业的重要资产,是企业实现转型升级的核心要素。分析了工业大数据的主要来源及其特点,给出了一种工业大数据参考架构,从生命周期与价值流、企业纵向层和IT价值链3个维度,讨论了企业实现基于工业大数据的价值创新和企业转型的典型应用与业务价值创新、企业各层所需部署的信息(物理)系统以及指导工业大数据应用落地的业务架构、信息系统架构和信息技术架构,最后分析了一种工业大数据典型应用案例的架构与技术,验证了所提架构的有效性。
Industrial big data is an important asset of industrial enterprises. It is a crucial factor for an industrial enterprise to realize transformation and upgrading. The main sources and characteristics of industrial big data were analyzed, and reference architecture of industrial big data with three dimensions was proposed. Three aspects of the realization of business innovation and transformation of industrial enterprise based on industrial big data respectively were discussed, which included the typical application and business innovation of enterprise, cyber（physical） systems deployed at all levels of the enterprise, and the business architecture, information systems architecture and IT architecture that guide the implementation of application of industrial big data. Finally, the architecture and technology of a typical application of industrial big data were analyzed, which verified the validity of the proposed architecture.
出处
《大数据》
2017年第4期67-80,共14页
Big Data Research
基金
上海市科学技术委员会基金资助项目(No.16DZ1110101)~~
关键词
工业大数据
架构
智能制造
工业云
工业互联网
industrial big data
architecture
intelligent manufacture
industrial cloud
industrial internet
