Generating Structured AutomationML Models from IEC 62264 Information

Bernhard Wally; Laurens Lang; Rafal Wlodarski; Radek Sindelar; Christian Huemer; Alexandra Mazak; Manuel Wimmer

Generating Structured AutomationML Models from IEC 62264 Information

Bernhard Wally, Laurens Lang, Rafal Wlodarski, Radek Sindelar, Christian Huemer, Alexandra Mazak, Manuel Wimmer

Institute of Business Informatics - Software Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

AutomationML provides a versatile modeling environment for the description of production systems. However, when starting a new AutomationML project, or when serializing existing data with the AutomationML format, there are no rules on how to structure these models in a meaningful way. In this work, we present an approach for structuring AutomationML models, based on the IEC 62264 standard. In our approach we are implementing the process of serializing IEC 62264 information declaratively, by leveraging the power of model transformations, as they are applied in the context of model-driven (software) engineering.

Original language	English
Title of host publication	n Proceedings of the 5th AutomationML PlugFest 2019, Hamburg, Germany, September 25-26, 2019
Number of pages	5
Publication status	Published - Sept 2019

Fields of science

202005 Computer architecture
202017 Embedded systems
102 Computer Sciences
102002 Augmented reality
102006 Computer supported cooperative work (CSCW)
102015 Information systems
102020 Medical informatics
102022 Software development
102034 Cyber-physical systems
201132 Computational engineering
201305 Traffic engineering
207409 Navigation systems
502032 Quality management
502050 Business informatics

JKU Focus areas

Digital Transformation

Cite this

@inproceedings{089500b00d8340f6a37a63a588993eff,

title = "Generating Structured AutomationML Models from IEC 62264 Information",

abstract = "AutomationML provides a versatile modeling environment for the description of production systems. However, when starting a new AutomationML project, or when serializing existing data with the AutomationML format, there are no rules on how to structure these models in a meaningful way. In this work, we present an approach for structuring AutomationML models, based on the IEC 62264 standard. In our approach we are implementing the process of serializing IEC 62264 information declaratively, by leveraging the power of model transformations, as they are applied in the context of model-driven (software) engineering.",

author = "Bernhard Wally and Laurens Lang and Rafal Wlodarski and Radek Sindelar and Christian Huemer and Alexandra Mazak and Manuel Wimmer",

year = "2019",

month = sep,

language = "English",

booktitle = "n Proceedings of the 5th AutomationML PlugFest 2019, Hamburg, Germany, September 25-26, 2019",

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TY - GEN

T1 - Generating Structured AutomationML Models from IEC 62264 Information

AU - Wally, Bernhard

AU - Lang, Laurens

AU - Wlodarski, Rafal

AU - Sindelar, Radek

AU - Huemer, Christian

AU - Mazak, Alexandra

AU - Wimmer, Manuel

PY - 2019/9

Y1 - 2019/9

N2 - AutomationML provides a versatile modeling environment for the description of production systems. However, when starting a new AutomationML project, or when serializing existing data with the AutomationML format, there are no rules on how to structure these models in a meaningful way. In this work, we present an approach for structuring AutomationML models, based on the IEC 62264 standard. In our approach we are implementing the process of serializing IEC 62264 information declaratively, by leveraging the power of model transformations, as they are applied in the context of model-driven (software) engineering.

AB - AutomationML provides a versatile modeling environment for the description of production systems. However, when starting a new AutomationML project, or when serializing existing data with the AutomationML format, there are no rules on how to structure these models in a meaningful way. In this work, we present an approach for structuring AutomationML models, based on the IEC 62264 standard. In our approach we are implementing the process of serializing IEC 62264 information declaratively, by leveraging the power of model transformations, as they are applied in the context of model-driven (software) engineering.

UR - https://www.big.tuwien.ac.at/publication/tuw-281396/

M3 - Conference proceedings

BT - n Proceedings of the 5th AutomationML PlugFest 2019, Hamburg, Germany, September 25-26, 2019

ER -

Generating Structured AutomationML Models from IEC 62264 Information

Abstract

Fields of science

JKU Focus areas

Other files and links

CDL-MINT Christian Doppler Laboratory for Model-Integrated Smart Production

Cite this

Generating Structured AutomationML Models from IEC 62264 Information

Abstract

Fields of science

JKU Focus areas

Other files and links

Projects

CDL-MINT Christian Doppler Laboratory for Model-Integrated Smart Production

Cite this