摘要
工业互联网是基于新一代的物联网技术和计算平台上建立起来的新型信息系统,囊括了物联网、边缘计算、大数据和云计算等新型算力基础设施,是未来的生产力发展的驱动力,本文通过在工业互联网领域对大数据统计模型开展应用,示范了在保护传统两化融合数据资产的情况下如何建设新型工业互联网系统,完美解决了工业互联网所需海量数据来源的问题,有效降低工业互联网建设的风险和成本。
Industrial Internet is a new information system based on the new generation of Internet of things technology and computing platform.It includes new computing infrastructure such as Internet of things,edge computing,big data and cloud computing.It is the driving force of future productivity development.This paper applies big data statistical model in the field of industrial Internet,It demonstrates how to build a new industrial Internet system under the condition of protecting the data assets of traditional integration of industri-alization and industrialization,perfectly solves the problem of massive data sources required by industrial Internet,and effectively reduces the risk and cost of industrial Internet construction.
作者
侯晓峰
HOU Xiao-feng(CNOOC Petrochemical Co.,Ltd.,Hainan Dongfang 572633,China)
出处
《新一代信息技术》
2021年第13期39-43,共5页
New Generation of Information Technology
关键词
工业互联网
大数据
偏差统计模型
智能制造
industrial internet platforms
big data
Deviation statistical model
Intelligent manufacturing