工业4.0背景下云计算在智能制造中的应用:挑战与机遇

Mariela Juana Alonso-Calpeño, Julieta Santander-Castillo, Yuridia Ramírez-Chocolatl, Raúl Alanis-Teutle
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引用次数: 1

摘要

云计算提供了高服务器级别的数据处理能力,而雾计算使用网络边缘的节点,实现了低延迟和无处不在的实时数据处理,因此它可以为工业物联网(IIoT)应用做出贡献。本文讨论了在实现IIoT过程中出现的技术挑战,以及雾计算范式如何帮助解决其中的一些挑战。为此,使用关键词对Google Scholar和Web of Science数据库中的科学文章进行了综述。结果表明,存在与互操作性、混合临界性、延迟、容错、可扩展性、水平和垂直集成、功能安全、传统工业系统和能源效率相关的各种挑战。报告了面临这些挑战的主要趋势。本文提出了一系列研究和开发可能解决方案的机会领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cómputo en la niebla aplicado a la manufactura inteligente bajo el contexto de la industria 4.0: Desafíos y oportunidades
Cloud computing offers high server-level data processing capacity, while fog computing works using nodes at the edge of the network, enabling real-time data processing with low latency and improved ubiquity, so it can contribute on Industrial Internet of Things (IIoT) applications. This article discusses the technical challenges that have arisen in implementing the IIoT, and how the fog computing paradigm is helping to solve some of them. For this, a review of scientific articles in the Google Scholar and Web of Science databases has been carried out using keywords. The results show that there are various challenges related to interoperability, mixed criticality, latency, fault tolerance, scalability, horizontal and vertical integration, functional safety, legacy industrial systems, and energy efficiency. The main trends to face these challenges are reported. This article proposes a series of opportunity areas for research and development of possible solutions.
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