基于云计算和边缘计算的控制平台设计方案  

Design Scheme of Control Platform Based on Cloud Computing and Edge Computing

作　　者：黄焜 HUANG Kun(State Nuclear Power Automation System Engineering Co.,Ltd.,Shanghai 200241,China)

机构地区：[1]国核自仪系统工程有限公司,上海200241

出　　处：《自动化应用》2025年第6期240-242,共3页Automation Application

摘　　要：随着云计算和边缘计算技术的不断发展,云边协同处理为工业自动化领域带来了更多新的发展机遇。基于工业自动化应用场景,结合云计算和边缘计算的特征提出了一种基于云计算和边缘计算的工业自动化控制平台设计方案。该控制平台设计方案设计了现场层、边缘层和云计算层这3层架构,并对3层架构进行了详细阐述。其中,现场层包括传感器和执行器,采用了智能化仪表和现场总线技术;边缘层包括通用计算机硬件平台构建的边缘计算控制器,利用实时操作系统、虚拟化平台、轻量级数据库等技术实现实体冗余和虚拟冗余的架构;云计算层包括存储资源、网络资源和计算资源,利用大数据、人工智能、机器学习、数字孪生等技术实现各种控制模型、故障预警、运维策略、仿真分析等。With the continuous development of cloud computing and edge computing technologies,cloud-edge collaborative processing has ushered in more new development opportunities for the field of industrial automation.Based on industrial automation application scenarios and combining the characteristics of cloud computing and edge computing,a design scheme for an industrial automation control platform leveraging cloud and edge computing is proposed.This control platform design scheme outlines a three-tier architecture comprising the field layer,edge layer,and cloud computing layer,with detailed elaborations on each.Specifically,the field layer encompasses sensors and actuators,employing intelligent instrumentation and fieldbus technology.The edge layer consists of edge computing controllers built on general-purpose computer hardware platforms,utilizing technologies such as real-time operating systems,virtualization platforms,and lightweight databases to realize architectures with both physical redundancy and virtual redundancy.The cloud computing layer encompasses storage resources,network resources,and computing resources,leveraging technologies such as big data,artificial intelligence,machine learning,and digital twins to implement various control models,fault early warning,operation and maintenance strategies,and simulation analysis.

关 键 词：云计算 边缘计算 控制平台 工业自动化 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]