工业大数据架构分析

Analysis of Industrial Big Data Architecture

由于移动互联网、大数据、物联网的快速发展,数据红利逐渐开始助推以传统工业企业为代表的重资产行业进行产业结构升级。当前,工业大数据尚处于发展初期,工业大数据架构仍没有形成统一、稳定的理论体系。如何将新型大数据技术与工业场景进行结合成为工业大数据发展的首要问题。文章从工业大数据概述、相关技术处理体系及流程以及实施应用路径等多方面介绍了工业大数据架构的意义、现状及趋势,为后续工业大数据的应用及发展提供理论基础和指导。

Due to the rapid development of mobile Internet, big data and Internet, data dividend has gradually started to promote the upgrading of industrial structure of heavy assets industry represented of things by traditional industrial enterprises. At present, industrial big data is still in the early stage of development, and the framework of industrial big data has not yet formed an unified and stable theoretical system. How to combine the new big data technology with the industrial scene has become the most important issue in the development of industrial big data. This paper introduces the significance, current situation and the trend of industrial big data architecture from several aspects, such as the outline of industry big data, the related technology processing system and process, and the application path. It provides a theoretical basis and guidance for the application and development of the follow-up industry big data.