工业网络系统的分布式边缘感知与协同控制

工业网络系统是融合大量感知、通信、执行终端和边缘计算单元的高维动态系统，是实现大型工业自动化过程监控的关键。这类系统具有感知维度高、网络动态性强、子系统耦合等突出特性，如何在网络环境下实现感知分布性、传输适变性、控制协同性成为新的研究挑战。本项目围绕“工业网络系统感知机理与协同机制”这一关键科学问题，提出了以边缘计算单元为核心的新型网络架构。充分利用边缘计算单元对分布式感知和协同控制的支持能力，开展工业异构网络分布式边缘感知、适变可靠传输、感知反馈的协同控制三方面研究工作，形成“感知-传输-控制”一体化实现方案，并构建相关实验平台，开展应用验证。预期成果将为大规模工业过程监控网络系统面临的重要科学问题和技术问题提供理论框架和设计方案，对促进网络协同制造等工业信息化应用具有重要的指导意义。

Industrial network systems are a class of high-dimensional dynamic systems orchestrating a large number of sensing, communication, execution terminals and edge computing units. It is the key to realize large-scale industrial automation process monitoring. This class of systems have significant characteristics such as high-dimensional sensing, strong network dynamics, and coupled subsystems. How to realize distributed sensing, adaptive transmission and coordinate control in the network environment is a new challenge for such kind of systems. This project is concerned on the key scientific problems of “sensing theory and coordination mechanism for the industrial network system”, and a new network architecture is to be proposed with the edge computing unit. Exploiting the ability of the edge computing units to support distributed sensing and coordinate control, the research on distributed edge sensing of industrial heterogeneous networks, adaptive and reliable transmission and sensing feedback based coordinate control are to be conducted. The “sensing-transmission-control" orchestrated solution is to be investigated. The relevant experimental platform is to be built for verification on the proposed methods. The expected results will provide theoretical framework and solutions for important scientific and technical problems faced by large-scale industrial process monitoring network systems, and will be of important guiding significance for promoting industrial informatics for important applications, such as network integrated manufacturing.