Designing a System Architecture for Dynamic Data Collection as a Foundation for Knowledge Modeling in Industry
This study develops and implements a scalable system architecture for dynamic data acquisition and knowledge modeling in industrial contexts. The objective is to efficiently process large datasets to support decision-making and process optimization within Industry 4.0. The architecture integrates mo...
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| Main Authors: | Edmund Radlbauer, Thomas Moser, Markus Wagner |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/9/5081 |
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