摘要
随着工业互联网的发展,工业现场海量数据的激增,满足工业场景对数据实时性、安全性等要求,降低工业数据的挖掘成本,进一步提升数据分析价值至关重要。为此提出了基于工业互联网端边云协同的数据协同策略与机制,包含分布式数据接入、数据协同传算、数据分类分级管理等关键技术,保障数据在云边端有效流转。
With the development of the industrial Internet and the surge of massive data in industrial sites,it is crucial to meet the real-time and security requirements of industrial scenarios,reduce the mining costs of industrial data,and further enhance the value of data analysis.For this reason,this paper proposes a data collaboration strategy and mechanism based on industrial Internet end edge cloud collaboration,including distributed data access,data collaborative transfer,data classification and hierarchical management and other key technologies,to ensure the effective flow of data at the cloud end.
出处
《工业控制计算机》
2024年第5期9-10,13,共3页
Industrial Control Computer
关键词
端边云协同
数据协同
数据接入
协同传算
分级分类
end edge cloud collaboration
data collaboration
data access
collaborative computing
hierarchical classification