4722
Assistance system for recommending energy efficiency measures on metal cutting machine tools
In their endeavors to increase the energy efficiency of their production equipment, companies come up against three implementation hurdles: a lack of transparency regarding energy consumption, the implementation of less effective measures due to the high level of machine complexity and the low motivation of workers to implement the measures in operation. An assistance system that is independent of the equipment can overcome these hurdles.
Subject area
Institute of Production Management, Technology and Machine Tools
Patent number
DE102023133931
Contact person
Prof. Dr.-Ing. Matthias Weigold
m.weigold@ptw.tu-darmstadt.de
+49 6151 16-21877
Downloads
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Optionale Headline
The assistance system developed uses machine learning algorithms to analyze the electrical power requirements of the equipment measured by sensors in real time. Based on this, KPIs are calculated, the value of which determines whether a suitable measure is suggested. Workers use the assistance system via an HMI. This not only displays the measures to be implemented, but also incentivizes their implementation through gamification elements. The decisive factor here is the eco-score, which summarizes the current energy efficiency of the machine tool operation.