Energy consumption analysis of modules for CPS retrofitting

M. Rehe; B. Denkena; C. Wagener

doi:10.1016/j.promfg.2018.06.007

Energy consumption analysis of modules for CPS retrofitting

M. Rehe, B. Denkena, C. Wagener^*

^*Korrespondierende*r Autor*in für diese Arbeit

Institut für Fertigungstechnik und Werkzeugmaschinen

Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review

Abstract

Modern production environments require transparency regarding production status to detect the optimization potential. One of the indicators to identify this potential is the Overall Equipment Effectiveness (OEE). It is usually calculated by hand. In cyber physical production systems and an implemented Total Productive Maintenance (TPM), a permanent analysis of the optimization potential is required. This approach faces the challenges of manual efforts to gather machine data. To get a flexible sensor set, methods of energy supply and wireless radio modules are analysed. The article shows the possibilities of energy consumption to fulfil the requirements of energy harvesting.

Originalsprache	Englisch
Seiten (von - bis)	48-53
Seitenumfang	6
Fachzeitschrift	Procedia Manufacturing
Jahrgang	24
Frühes Online-Datum	6 Juli 2018
DOIs	https://doi.org/10.1016/j.promfg.2018.06.007 https://doi.org/10.15488/3817
Publikationsstatus	Veröffentlicht - 2018
Veranstaltung	4th International Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, 2018 - Hannover, Deutschland Dauer: 19 Juni 2018 → 20 Juni 2018

UN-Ziele für nachhaltige Entwicklung (SDGs)

2015 einigten sich die UN-Mitgliedstaaten auf 17 globale Ziele für nachhaltige Entwicklung (Sustainable Development Goals, SDGs) zur Beendigung von Armut, zum Schutz des Planeten und zur Förderung des allgemeinen Wohlstands. Hiermit leisten wir einen Beitrag zu folgendem/n Ziel(en) für nachhaltige Entwicklung (SDGs):

SDG 7 Erschwingliche und saubere Energie

ASJC Scopus Sachgebiete

Wirtschaftsingenieurwesen und Fertigungstechnik
Artificial intelligence

Zugriff auf Dokument

10.1016/j.promfg.2018.06.007Lizenz: CC BY-NC-ND 4.0
10.15488/3817Lizenz: CC BY-NC-ND 4.0

Andere Dateien und Links

Link zur Publikation in Scopus

Dieses zitieren

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