PyAML: Enhancing AutomationML for Advanced Virtualization of Industry 4.0 Cyber-Physical Production Systems with Python Code Injections
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F21%3A00354571" target="_blank" >RIV/68407700:21730/21:00354571 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ETFA45728.2021.9613461" target="_blank" >https://doi.org/10.1109/ETFA45728.2021.9613461</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ETFA45728.2021.9613461" target="_blank" >10.1109/ETFA45728.2021.9613461</a>
Alternative languages
Result language
angličtina
Original language name
PyAML: Enhancing AutomationML for Advanced Virtualization of Industry 4.0 Cyber-Physical Production Systems with Python Code Injections
Original language description
Industry 4.0 production systems should provide flexibility with respect to products as well as their corresponding production processes under consideration of the availability of production resources. Such production systems consist of inter-linked components including robots in robotic work cells, transportation systems, processing technologies, etc. The shift from a more static, traditionally engineered, manufacturing system towards Industry 4.0 requires increasingly sophisticated, yet generic system components, leading to an overall increase in complexity of integration and testing. In this work, we contribute to the task of system integration by utilizing a centralized configuration based on the industry standard AutomationML, explaining how to efficiently design, use, and incorporate a digital twin including the corresponding virtualization of components' interfaces. To do these tasks efficiently, we are enhancing the Au-tomationML data format with Python script injections, in order to represent needed information patterns easily and efficiently. The entire proposed approach is demonstrated and evaluated on our internal Industry 4.0 Testbed.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )
ISBN
978-1-7281-2989-1
ISSN
1946-0740
e-ISSN
1946-0759
Number of pages
8
Pages from-to
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Publisher name
IEEE Industrial Electronic Society
Place of publication
Vienna
Event location
Västerås
Event date
Sep 7, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000766992600135