Investigation in IoT and 5G architectures for deployment of Artificial Intelligence into urban mobility and production

2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ) Pub Date : 2021-09-07 DOI:10.1109/ETFA45728.2021.9613644

Tobias Ferfers, Arhtur Müller, S. Schriegel, J. Jasperneite

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引用次数: 1

Abstract

The automation industry discusses the deployment of processing resources in applications since decades. The two major subjects of discussion are centralized and decentralized computing. The deployment of artificial intelligence (AI) applications and the processing power is facing the same issue nowadays. AI is used in many different areas like smart city, industrial automation for pattern recognition or as an expert system and so on. However, it remains a central question how to deploy the AI within an application and how to connect the AI to other devices, services and agents. In this paper we discuss state-of-the-art architecture to structure general IoT applications, as well as, the two most common processing concepts. Furthermore, use cases in urban mobility and industrial automation to deploy AI applications are presented and an In-depth view to the implementation is discussed. Pros, cons and problems of the implementations are shown, which can provide ideas and references when deploying an AI application.

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研究物联网和5G架构，将人工智能部署到城市交通和生产中

几十年来，自动化行业一直在讨论应用程序中处理资源的部署。讨论的两个主要主题是集中计算和分散计算。人工智能(AI)应用的部署和处理能力也面临着同样的问题。人工智能被用于许多不同的领域，如智能城市，工业自动化模式识别或作为专家系统等。然而，如何在应用程序中部署AI以及如何将AI连接到其他设备、服务和代理仍然是一个核心问题。在本文中，我们讨论了构建一般物联网应用的最先进架构，以及两个最常见的处理概念。此外，还介绍了在城市交通和工业自动化中部署人工智能应用程序的用例，并对实施进行了深入的讨论。展示了实现的优点、缺点和问题，可以为部署AI应用程序提供思路和参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )

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