TALESS:TSN 与传统终端同步

IF 5.2 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Daniel Bujosa Mateu;Julian Proenza;Alessandro V. Papadopoulos;Thomas Nolte;Mohammad Ashjaei
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引用次数: 0

摘要

为了促进业界采用时间敏感网络(TSN),有必要开发将传统系统与 TSN 集成的工具。在这篇文章中,我们提出了一种解决方案,让来自不同传统系统的不同时域(每个时域都有相应的同步协议)共存于一个单一的 TSN 网络中。为此,我们通过实验确定了在同步方面用 TSN 取代传统以太网网络通信子系统的效果。根据实验结果,我们提出了一种名为 TALESS(TSN 与传统端站同步)的解决方案。TALESS 可以识别 TSN 通信子系统与集成的传统设备(终端站)之间的漂移,然后修改 TSN 计划以适应不同的时域,从而避免它们之间缺乏同步所造成的影响。我们通过模拟和原型实验对 TALESS 进行了验证。我们证明,得益于 TALESS,传统系统可以通过 TSN 实现同步,甚至可以改善接收抖动或与其他传统系统的集成性等功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TALESS: TSN With Legacy End-Stations Synchronization
In order to facilitate the adoption of Time Sensitive Networking (TSN) by the industry, it is necessary to develop tools to integrate legacy systems with TSN. In this article, we propose a solution for the coexistence of different time domains from different legacy systems, each with its corresponding synchronization protocol, in a single TSN network. To this end, we experimentally identified the effects of replacing the communications subsystem of a legacy Ethernet-based network with TSN in terms of synchronization. Based on the results, we propose a solution called TALESS (TSN with Legacy End-Stations Synchronization). TALESS can identify the drift between the TSN communications subsystem and the integrated legacy devices (end-stations) and then modify the TSN schedule to adapt to the different time domains to avoid the effects of the lack of synchronization between them. We validate TALESS through both simulations and experiments on a prototype. We demonstrate that thanks to TALESS, legacy systems can synchronize through TSN and even improve features such as their reception jitter or their integrability with other legacy systems.
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来源期刊
IEEE Open Journal of the Industrial Electronics Society
IEEE Open Journal of the Industrial Electronics Society ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
10.80
自引率
2.40%
发文量
33
审稿时长
12 weeks
期刊介绍: The IEEE Open Journal of the Industrial Electronics Society is dedicated to advancing information-intensive, knowledge-based automation, and digitalization, aiming to enhance various industrial and infrastructural ecosystems including energy, mobility, health, and home/building infrastructure. Encompassing a range of techniques leveraging data and information acquisition, analysis, manipulation, and distribution, the journal strives to achieve greater flexibility, efficiency, effectiveness, reliability, and security within digitalized and networked environments. Our scope provides a platform for discourse and dissemination of the latest developments in numerous research and innovation areas. These include electrical components and systems, smart grids, industrial cyber-physical systems, motion control, robotics and mechatronics, sensors and actuators, factory and building communication and automation, industrial digitalization, flexible and reconfigurable manufacturing, assistant systems, industrial applications of artificial intelligence and data science, as well as the implementation of machine learning, artificial neural networks, and fuzzy logic. Additionally, we explore human factors in digitalized and networked ecosystems. Join us in exploring and shaping the future of industrial electronics and digitalization.
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