kaiyun官方注册
您所在的位置: 首页> 通信与网络> 设计应用> 面向工业互联网OLT融合边缘计算的探索
面向工业互联网OLT融合边缘计算的探索
2021年电子技术应用第4期
甘雨莹,孙 慧,梁真铭
中国电信股份有限公司上海研究院,上海210043
摘要:工业互联网现场存在大量异构设备和网络带来的复杂性以及工业生产的实时性和可靠性问题,如果数据分析和控制逻辑全部在云端实现,难以满足工业场景的网络需求,而通过边缘计算在服务实时性和可靠性方面能够满足工业互联网的发展需求。提出了面向工业互联网的OLT融合边缘计算三种技术方案,主要通过边缘计算和OLT的业务连接、路由转发以及管理功能等方面进行了分析。对比了具有增值功能的OLT内置型边缘计算、具有通用功能的OLT内置型边缘计算以及OLT外置型边缘计算三种方案的差异性,根据其差异性提出了适用于不同工厂的场景需求。
中图分类号:TN915
文献标识码:A
DOI:10.16157/j.issn.0258-7998.201072
中文引用格式:甘雨莹,孙慧,梁真铭. 面向工业互联网OLT融合边缘计算的探索[J].电子技术应用,2021,47(4):5-8,23.
英文引用格式:Gan Yuying,Sun Hui,Liang Zhenming. Exploration of OLT converged edge computing for industrial internet[J]. Application of Electronic Technique,2021,47(4):5-8,23.
Exploration of OLT converged edge computing for industrial internet
Gan Yuying,Sun Hui,Liang Zhenming
Chinatelecom Corporation Shanghai Research Institute,Shanghai 210043,China
Abstract:The industrial internet site has the complexity brought by a large number of heterogeneous devices and networks, as well as the real-time and reliability problems of industrial production. If data analysis and control logic are all implemented in the cloud, it is difficult to meet the network requirements of industrial scenarios. However, edge computing can meet the development needs of the industrial internet in terms of service real-time and reliability. This paper proposes three technical solutions for optical line terminal(OLT) converged edge computing for industrial internet,mainly through the edge computing and OLT business connection, route forwarding and management functions and other aspects of the analysis. Comparing the differences among the three solutions of OLT built-in edge computing with value-added functions, OLT built-in edge computing with general functions, and OLT external edge computing, according to their differences, the scene requirements applicable to different factories are proposed.
Key words :edge computing;optical line termina;built-in resource board

0 引言

随着工业互联网的快速发展,工业场景中对边缘计算的应用需求越来越多,其中包括数据预处理、低时延、多接入以及安全和隐私等。这也导致数据传送量不断增加,海量终端接入及数据传输、处理、存储的需求极大地增加了网络负荷,并对网络带宽提出了更高的需求。表1列举了一些工业典型场景对边缘计算的需求。




本文详细内容请下载:http://www.chinaaet.com/resource/share/2000003455




作者信息:

甘雨莹,孙 慧,梁真铭

(中国电信股份有限公司上海研究院,上海210043)

此内容为AET网站原创,未经授权禁止转载。
Baidu
map