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A Common Software Framework for Energy Data Based Monitoring and Controlling for Machine Power Peak Reduction and Workpiece Quality Improvements

Bauerdick, Christoph and Helfert, Mark and Menz, Benjamin and Abele, Eberhard :
A Common Software Framework for Energy Data Based Monitoring and Controlling for Machine Power Peak Reduction and Workpiece Quality Improvements.
[Online-Edition: https://doi.org/10.1016/j.procir.2016.11.226]
In: Procedia CIRP, 24th CIRP Conference on Life Cycle Engineering, Kamakura (Japan) Elsevier B.V., 61 pp. 359-364. ISSN 2212-8271
[Article] , (2017)

Official URL: https://doi.org/10.1016/j.procir.2016.11.226

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.

Item Type: Article
Erschienen: 2017
Creators: Bauerdick, Christoph and Helfert, Mark and Menz, Benjamin and Abele, Eberhard
Title: A Common Software Framework for Energy Data Based Monitoring and Controlling for Machine Power Peak Reduction and Workpiece Quality Improvements
Language: English
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.

Journal or Publication Title: Procedia CIRP, 24th CIRP Conference on Life Cycle Engineering, Kamakura (Japan) Elsevier B.V.
Volume: 61
Uncontrolled Keywords: Software Framework Production Machines Energy Controlling Industry 4.0 Quality Monitoring Condition Monitoring Workpiece Monitoring
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute of Production Management, Technology and Machine Tools (PTW)
16 Department of Mechanical Engineering > Institute of Production Management, Technology and Machine Tools (PTW) > Sustainable Production (new name since 01.07.2018 ETA Energy Technologies and Applications in Production)
Date Deposited: 28 Aug 2017 13:17
DOI: https://doi.org/10.1016/j.procir.2016.11.226
Official URL: https://doi.org/10.1016/j.procir.2016.11.226
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