Cross-disciplinary engineering with AutomationML and SysML

Author:

Berardinelli Luca1,Biffl Stefan1,Lüder Arndt2,Mätzler Emanuel1,Mayerhofer Tanja3,Wimmer Manuel1,Wolny Sabine1

Affiliation:

1. CDL Flex, Institute of Software Technology & Interactive Systems, TU Wien, Wien, Austria

2. Faculty Mechanical Engineering, Otto-v.-Guericke University, Magdeburg, Germany

3. Business Informatics Group, Institute of Software Technology & Interactive Systems, TU Wien, Wien, Austria

Abstract

Abstract AutomationML (AML) is an emerging standard in the automation domain to represent and exchange artifacts between heterogeneous engineering tools used in different disciplines, such as mechanical and electrical engineering. The Systems Modeling Language (SysML) is a modeling standard influenced by software modeling languages, such as UML, typically adopted in the early phases of engineering processes. This paper investigates commonalities and differences of the structural modeling parts of AML (CAEX) and SysML (block diagrams) in support of establishing tool-independent interoperability. This support for cross-disciplinary modeling is facilitated by a bridge between AML and SysML built on model-driven interoperability techniques. We demonstrate the interoperability between AML and SysML with a case study concerning a lab-sized production system.

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Data Sharing in Industry 4.0—AutomationML, B2MML and International Data Spaces-Based Solutions;Springer Series in Advanced Manufacturing;2024

2. Towards Model-Based Assembly System Configuration Supported by SysML and AutomationML;Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems;2023-08-24

3. Data sharing in Industry 4.0 - AutomationML, B2MML and International Data Spaces-based solutions;Journal of Industrial Information Integration;2023-06

4. A bi-directional Interface enabling cross-disciplinary Engineering with RAMI 4.0 and AutomationML;2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA);2022-09-06

5. Towards Round-trip Engineering to evolve Complex Production Systems by utilizing AutomationML;2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA);2022-09-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3