Towards numerical control of machine tools from the edge cloud

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-2022-0148

Christoph Susen, S. Storms, C. Brecher

引用次数: 1

Abstract

Abstract A concept has been developed which enables the virtualization and consolidation of NC controllers for machine tools. By decoupling control hardware and software, dynamic scaling of computing power depending on the complexity of the control functions becomes possible. The use of monolithic and over-dimensioned control systems, which are most often not fully exploited but no longer sufficient when new requirements arise, is avoided. Additionally, economic advantages might be exploited by consolidating multiple controllers in an edge cloud. Initial experiments have shown that purely software-based solutions on standard IT hardware are suitable for reliably achieving the required cycle times.

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从边缘云走向数控机床

摘要提出了一种实现机床数控控制器虚拟化和整合的概念。通过对控制硬件和软件的解耦，计算能力可以根据控制函数的复杂程度进行动态缩放。避免使用单片和超大尺寸的控制系统，这些系统通常没有得到充分利用，但在出现新需求时已不再足够。此外，通过在边缘云中整合多个控制器可以利用经济优势。最初的实验表明，在标准IT硬件上纯基于软件的解决方案适合可靠地实现所需的周期时间。

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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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.