PREDICTIVE MAINTENANCE FOR A DEVICE IN THE FOOD INDUSTRY BY MEANS OF A DIGITAL TWIN, AND OPTIMIZED PRODUCTION PLANNING

PREDICTIVE MAINTENANCE FOR A DEVICE IN THE FOOD INDUSTRY BY MEANS OF A DIGITAL TWIN, AND OPTIMIZED PRODUCTION PLANNING

The invention relates to a method and to a system for automatically detecting a malfunction of a device in the food industry or the beverage industry, in particular for predictive maintenance. By means of a digital twin of the device, simulation data are produced for a plurality of malfunctions. Sub...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: ALBRECHT, Thomas, BOETTCHER, Benedikt, SCHINDLER, Lukas
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTING
CONTROL OR REGULATING SYSTEMS IN GENERAL
CONTROLLING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
FUNCTIONAL ELEMENTS OF SUCH SYSTEMS
MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS
PHYSICS
REGULATING
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:The invention relates to a method and to a system for automatically detecting a malfunction of a device in the food industry or the beverage industry, in particular for predictive maintenance. By means of a digital twin of the device, simulation data are produced for a plurality of malfunctions. Subsequently, a machine learning algorithm is trained on the basis of the simulation data and the plurality of malfunctions. The trained machine learning algorithm is then used to detect a malfunction of the device on the basis of operating data of the device. The invention further relates to a method and to a system for determining an optimized production plan for the production of one or more products by means of one or more production lines in the food industry or the beverage industry.