PyAML: Enhancing AutomationML for Advanced Virtualization of Industry 4.0 Cyber-Physical Production Systems with Python Code Injections

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

PyAML: Enhancing AutomationML for Advanced Virtualization of Industry 4.0 Cyber-Physical Production Systems with Python Code Injections

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

PyAML: Enhancing AutomationML for Advanced Virtualization of Industry 4.0 Cyber-Physical Production Systems with Python Code Injections

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

Počet stran výsledku

8

Strana od-do

—

Název nakladatele

IEEE Industrial Electronic Society

Místo vydání

Vienna

Místo konání akce

Västerås

Datum konání akce

7. 9. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000766992600135