基于云的软件定义制造评估平台

IF 0.7 4区计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS

At-Automatisierungstechnik Pub Date : 2023-05-01 DOI:10.1515/auto-2022-0137

Michael Neubauer, C. Reiff, Moritz Walker, Stefan Oechsle, A. Lechler, A. Verl

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引用次数: 1

摘要

摘要软件定义制造（SDM）是未来工业4.0工厂制造的一种新范式。这种方法需要从根本上改变思维，并在生产技术中重塑核心商业模式。本文讨论了未来软件定义工厂的主要挑战，并说明了可能的解决方案。介绍了一个示例性的未来工厂，其中对解决方案进行了验证。为此，基于云的计算机数控（CNC）被认为是一个用例。实验结果证明了这一概念，并显示了进一步应用的潜力。

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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Cloud-based evaluation platform for software-defined manufacturing

Abstract Software-Defined Manufacturing (SDM) is a new paradigm for how to manufacture in the Industry 4.0 factory of the future. The approach requires a fundamental change in thinking and reinvention of central business models in production technology. This paper discusses the main challenges on the way to a software-defined factory of the future and illustrates possible solutions. An exemplary future factory is presented, in which the validation of the solutions is carried out. For this purpose, cloud-based Computerized Numerical Control (CNC) is considered as use case. Experimental results demonstrate the proof of concept and show the potential for further applications.

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来源期刊

At-Automatisierungstechnik 工程技术-自动化与控制系统

CiteScore

2.00

自引率

10.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Automatisierungstechnik (AUTO) publishes articles covering the entire range of automation technology: development and application of methods, the operating principles, characteristics, and applications of tools and the interrelationships between automation technology and societal developments. The journal includes a tutorial series on "Theory for Users," and a forum for the exchange of viewpoints concerning past, present, and future developments. Automatisierungstechnik is the official organ of GMA (The VDI/VDE Society for Measurement and Automatic Control) and NAMUR (The Process-Industry Interest Group for Automation Technology). Topics control engineering digital measurement systems cybernetics robotics process automation / process engineering control design modelling information processing man-machine interfaces networked control systems complexity management machine learning ambient assisted living automated driving bio-analysis technology building automation factory automation / smart factories flexible manufacturing systems functional safety mechatronic systems.