Bauerdick, Christoph ; Helfert, Mark ; Menz, Benjamin ; Abele, Eberhard (2017)
A Common Software Framework for Energy Data Based Monitoring and Controlling for Machine Power Peak Reduction and Workpiece Quality Improvements.
In: Procedia CIRP, 24th CIRP Conference on Life Cycle Engineering, Kamakura (Japan) Elsevier B.V., 61
doi: 10.1016/j.procir.2016.11.226
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
A standardized and high frequent collection of energy data is a powerful tool to enhance industrial energy efficiency and has also proved to be most valuable in condition and process monitoring tasks in recent researches. For these monitoring and controlling functions in production sites a common software framework is essential. In this paper the development of such a software framework is presented. Further on two new approaches utilizing this software framework are introduced: Firstly the recognition and automatic reduction of power peaks between connected machine tools. Secondly the usage of energy data of machine tools for quality monitoring purposes.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2017 |
| Autor(en): | Bauerdick, Christoph ; Helfert, Mark ; Menz, Benjamin ; Abele, Eberhard |
| Art des Eintrags: | Bibliographie |
| Titel: | A Common Software Framework for Energy Data Based Monitoring and Controlling for Machine Power Peak Reduction and Workpiece Quality Improvements |
| Sprache: | Englisch |
| Publikationsjahr: | 2017 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Procedia CIRP, 24th CIRP Conference on Life Cycle Engineering, Kamakura (Japan) Elsevier B.V. |
| Jahrgang/Volume einer Zeitschrift: | 61 |
| DOI: | 10.1016/j.procir.2016.11.226 |
| URL / URN: | https://doi.org/10.1016/j.procir.2016.11.226 |
| Kurzbeschreibung (Abstract): | A standardized and high frequent collection of energy data is a powerful tool to enhance industrial energy efficiency and has also proved to be most valuable in condition and process monitoring tasks in recent researches. For these monitoring and controlling functions in production sites a common software framework is essential. In this paper the development of such a software framework is presented. Further on two new approaches utilizing this software framework are introduced: Firstly the recognition and automatic reduction of power peaks between connected machine tools. Secondly the usage of energy data of machine tools for quality monitoring purposes. |
| Freie Schlagworte: | Software Framework Production Machines Energy Controlling Industry 4.0 Quality Monitoring Condition Monitoring Workpiece Monitoring |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > Umweltgerechte Produktion (am 01.07.2018 umbenannt in ETA Energietechnologien und Anwendung in der Produktion) |
| Hinterlegungsdatum: | 28 Aug 2017 13:17 |
| Letzte Änderung: | 11 Jun 2018 10:52 |
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