Artificial intelligence‐based module type package‐compatible smart sensors in the process industry
dc.contributor.author | Neuendorf, Laura M. | |
dc.contributor.author | Khaydarov, Valentin | |
dc.contributor.author | Schlander, Christiane | |
dc.contributor.author | Kock, Tobias | |
dc.contributor.author | Fischer, Joshua | |
dc.contributor.author | Urbas, Leon | |
dc.contributor.author | Kockmann, Norbert | |
dc.date.accessioned | 2024-11-18T13:23:33Z | |
dc.date.available | 2024-11-18T13:23:33Z | |
dc.date.issued | 2023-08-09 | |
dc.description.abstract | Image analysis presents a set of powerful methods to receive additional information about multiphase processes. It enables the development of advanced applications for process monitoring and optimization or, so-called, soft sensors. However, the integration of advanced smart sensor systems based on image analysis into the process control system presents a complex task. To address this challenge, a modular automation concept offers a standardized interface to integrate modules. This paper presents an integration profile as a service specification that allows a plug-and-measure integration of smart visual sensors into modular plants. To verify the concept, we applied it to three different use cases. At the end, we discuss open challenges in the integration of complex analysis systems with multidimensional data streams into modular plants. | en |
dc.identifier.uri | http://hdl.handle.net/2003/42761 | |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-24593 | |
dc.language.iso | en | |
dc.relation.ispartofseries | Chemie - Ingenieur - Technik; 95(10) | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Artificial intelligence | en |
dc.subject | Complex data streams | en |
dc.subject | Computer vision | en |
dc.subject | Image processing | en |
dc.subject | Modular automation | en |
dc.subject | Module type package | en |
dc.subject.ddc | 660 | |
dc.title | Artificial intelligence‐based module type package‐compatible smart sensors in the process industry | en |
dc.type | Text | |
dc.type.publicationtype | ResearchArticle | |
dcterms.accessRights | open access | |
eldorado.secondarypublication | true | |
eldorado.secondarypublication.primarycitation | Neuendorf, L.M., Khaydarov, V., Schlander, C., Kock, T., Fischer, J., Urbas, L. and Kockmann, N. (2023), Artificial Intelligence-based Module Type Package-compatible Smart Sensors in the Process Industry. Chemie Ingenieur Technik, 95: 1546-1554. https://doi.org/10.1002/cite.202300047 | en |
eldorado.secondarypublication.primaryidentifier | https://doi.org/10.1002/cite.202300047 |
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