摘要
随着工业制造业的快速发展,工业智能化、自动化、信息化进程的推进,产生了大量的多源异构数据,如工业传感器、物流、社交、交易等数据,但这些数据不论是存储还是管理都是各自为政,孤立存在,未能形成服务化的数据产品提供方式。首先分析了国内外现有工业数据平台后,针对开放数据平台的缺陷与挑战,提出面向工业的开放数据服务平台的体系结构和企业数据中心的工业大数据系统工作流程,实现了对工业开放数据的数据服务发布、数据服务获取、数据服务使用,对于完善工业系统的数据管理与共享、建立完备的工业数据服务体系起到一定的作用。
With the rapid development of industrial manufacturing, the process promotion of industrial intelligence, automation and information technology generates a large number of multi-source heterogeneous data, such as industrial sensors, logistics, social, trade and so on. However, these data are stored or managed separately, and fail to form data products for service. In this paper, we analyze the shortages and challenges of the industrial data platform, and propose industry-oriented open data service platform architecture and workflow of industrial big data systems of enterprise data centers to achieve release, access and using for the industrial open data and play an important role for improving sharing of data management of industrial systems, and establishing the completed industrial data service system.
作者
夏虹
郭超
陈彦萍
王忠民
Xia Hong Guo Chao Chen Yanping Wang Zhongmin(School of Computer Science and Technology, X i ＇an University of Posts and Telecommunications, Xi ＇ an 710121,China Big Data Processing Research Center of Xi＇ an University of Posts and Telecommunications, Xi＇ an 710121,China)
出处
《微处理机》
2017年第3期88-92,共5页
Microprocessors
基金
陕西省工业攻关项目(No.2016GY-092)
陕西省科技统筹项目(No.2016KTZDGY04-01)
