Authors: Wiedau, Michael
Tolksdorf, Gregor
Oeing, Jonas
Kockmann, Norbert
Title: Towards a systematic data harmonization to enable AI application in the process industry
Language (ISO): en
Abstract: Current methods of artificial intelligence may often proof ineffective in the process industry, usually because of insufficient data availability. In this contribution, we investigate how data standards can contribute to fulfill the data availability requirements of machine learning methods. We give an overview of AI use cases relevant in the process industry, name related requirements and discuss known standards in the context of implicit vs. explicit data. We conclude with a roadmap sketching how to bring the results of this contribution into practical application.
Subject Headings: Artificial intelligence
Data integration
KEEN project
Process industry
Issue Date: 2021-11-15
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