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[ "邹涛(1974- ),男,博士,之江实验室研究专家、研究员,主要研究方向为多模态网络技术和新型网络体系架构" ]
[ "张慧峰(1992- ),女,博士,之江实验室高级研究专员、助理研究员,主要研究方向为多模态网络技术、新型网络拓扑结构等" ]
[ "高万鑫(1986- ),男,博士,之江实验室博士后、助理研究员,主要研究方向为新型网络、智能网络技术等" ]
[ "徐琪(1992- ),男,博士,之江实验室高级研究专员、助理研究员,主要研究方向为多模态网络、软件定义网络、时间敏感网络等" ]
[ "沈丛麒(1994- ),女,之江实验室高级研究专员、助理研究员,主要研究方向为软件定义网络、多模态网络、网络安全等" ]
[ "朱俊(1981- ),男,博士,之江实验室工程专家、高级工程师,主要研究方向为新型网络体系结构、软件定义网络、网络资源管理、网络协议设计优化等" ]
[ "潘仲夏(1985- ),男,之江实验室高级工程专员,主要研究方向为多模态网络体系架构及相关网络应用" ]
[ "国兴昌(1996- ),男,之江实验室工程专员,主要研究方向为软件定义网络、可编程数据平面、信息中心网络等" ]
网络出版日期:2023-06,
纸质出版日期:2023-06-20
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邹涛, 张慧峰, 高万鑫, 等. 面向智能制造的多模态网络应用技术研究[J]. 电信科学, 2023,39(6):61-72.
Tao ZOU, Huifeng ZHANG, Wanxin GAO, et al. Research on polymorphic network application technology oriented intelligent manufacturing[J]. Telecommunications science, 2023, 39(6): 61-72.
邹涛, 张慧峰, 高万鑫, 等. 面向智能制造的多模态网络应用技术研究[J]. 电信科学, 2023,39(6):61-72. DOI: 10.11959/j.issn.1000-0801.2023131.
Tao ZOU, Huifeng ZHANG, Wanxin GAO, et al. Research on polymorphic network application technology oriented intelligent manufacturing[J]. Telecommunications science, 2023, 39(6): 61-72. DOI: 10.11959/j.issn.1000-0801.2023131.
智能制造的兴起对网络技术提出了诸多新需求。多模态网络将网络技术体制与支撑环境相分离,支持多种不同网络技术体制在同一个网络支撑环境中的共生共存和灵活加载与运行,可为智能制造提供多样化、可自定义、高可靠的网络服务能力。研究了智能制造对网络基础环境的新需求,并以智慧工厂为例,针对其多种不同应用场景设计了基于多模态网络的技术解决方案。将不同网络模态高效适配于协同研发设计、产线生产控制、机器视觉质检、无人智能巡检、事故应急响应等应用场景,验证了多模态网络在智能制造中应用的技术优势,可为推动制造业转型升级提供有力支撑。
The rise of intelligent manufacturing has induced many new demands on network technology.The polymorphic network separates the network technology from the support environment
supporting the coexistence as well as flexible loading and operation of various network technologies in the same network support environment
and can provide diversified
customizable
and highly reliable network service capabilities.The network environment requirements of intelligent manufacturing were studied
and smart factories were taken as an example to design efficient technical solutions based on the polymorphic network for various application scenarios.Different network technologies were efficiently adapted to application scenarios such as collaborative research and development design
production line control
machine vision quality inspection
unmanned intelligent inspection
accident emergency response
etc.The study verified the technical advantages of applying polymorphic networks to intelligent manufacturing
which could provide strong support for promoting the transformation and upgrading of the manufacturing industry.
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