Optimization paper production through digitalization by developing an assistance system for machine operators including quality forecast: a concept
Zusammenfassung
Nowadays cross-industry ranging challenges include the reduction of greenhouse gas emission and enabling a circular economy. However, the production of paper from waste paper is still a highly resource intensive task, especially in terms of energy consumption. While paper machines produce a lot of data, we have identified a lack of utilization of it and implement a concept using an operator assistance system and state-of-the-art machine learning techniques, e.g., classification, forecasting and alarm flood handling algorithms, to support daily operator tasks. Our main objective is to provide situation-specific knowledge to machine operators utilizing available data. We expect this will result in better adjusted parameters and therefore a lower footprint of the paper machines.
emission and enabling a circular economy. However, the production of paper from waste paper is
still a highly resource intensive task, especially in terms of energy consumption. While paper
machines produce a lot of data, we have identified a lack of utilization of it and implement a concept
using an operator assistance system and state-of-the-art machine learning techniques, e.g.,
classification, forecasting and alarm flood handling algorithms, to support daily operator tasks. Our
main objective is to provide situation-specific knowledge to machine operators utilizing available
data. We expect this will result in better adjusted parameters and therefore a lower footprint of the
- Vollständige Referenz
- BibTeX
Schroth, M., Hake, F., Merker, K., Becher, A., Klaeger, T., Huesmann, R., Eichhorn, D. & Oehm, L.,
(2022).
Optimization paper production through digitalization by developing an assistance system for machine operators including quality forecast: a concept.
In:
Wohlgemuth, V., Naumann, S., Arndt, H.-K., Behrens, G. & Höb, M.
(Hrsg.),
EnviroInfo 2022.
Bonn:
Gesellschaft für Informatik e.V..
(S. 177).
@inproceedings{mci/Schroth2022,
author = {Schroth, Moritz AND Hake, Felix AND Merker, Konstantin AND Becher, Alexander AND Klaeger, Tilman AND Huesmann, Robin AND Eichhorn, Detlef AND Oehm, Lukas},
title = {Optimization paper production through digitalization by developing an assistance system for machine operators including quality forecast: a concept},
booktitle = {EnviroInfo 2022},
year = {2022},
editor = {Wohlgemuth, Volker AND Naumann, Stefan AND Arndt, Hans-Knud AND Behrens, Grit AND Höb, Maximilian} ,
pages = { 177 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Schroth, Moritz AND Hake, Felix AND Merker, Konstantin AND Becher, Alexander AND Klaeger, Tilman AND Huesmann, Robin AND Eichhorn, Detlef AND Oehm, Lukas},
title = {Optimization paper production through digitalization by developing an assistance system for machine operators including quality forecast: a concept},
booktitle = {EnviroInfo 2022},
year = {2022},
editor = {Wohlgemuth, Volker AND Naumann, Stefan AND Arndt, Hans-Knud AND Behrens, Grit AND Höb, Maximilian} ,
pages = { 177 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
Dateien | Groesse | Format | Anzeige | |
---|---|---|---|---|
EnviroInfo2022_ShortPaper_7.pdf | 178.5Kb | Öffnen |
Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Feedback abschicken
Mehr Information
ISBN: 978-3-88579-722-7
ISSN: 1617-5468
Datum: 2022
Sprache: (en)
Typ: Text/Conference Paper