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Development of a multi-sensor concept for progress detection in the site assembly of electrolysis units
Citation Link: https://doi.org/10.15480/882.9250
Publikationstyp
Conference Paper
Date Issued
2023
Sprache
English
TORE-DOI
Journal
Volume
120
Start Page
1363
End Page
1368
Citation
Procedia CIRP 120: 1363-1368 (2023-10)
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Elsevier
Green Hydrogen is a promising energy carrier for the future industry. To meet the accompanying increase in demand for electrolyzers, an equivalent increase in production capacity is essential. This can be achieved through efficient assembly orchestrations based on continuous assembly progress detection. This paper contributes to the necessary data acquisition during the assembly process. Various methods from the state of the art are presented, evaluated and compared against each other. Finally, a modular concept for data acquisition on the construction site of electrolysis plants based on data fusion is proposed.
Subjects
Assembly Progress Detection
Green Energy
Hydrogen Production
Internet of Things
Multi-Sensor Data Acquisition
DDC Class
621: Applied Physics
333.7: Natural Resources, Energy and Environment
Publication version
publishedVersion
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Name
1-s2.0-S2212827123009095-main.pdf
Type
Main Article
Size
449.36 KB
Format
Adobe PDF