Labeling machine and method for configuring a labeling machine
AssigneeKrones AG
InventorMatthias Wahl
Life of this patent
Estimating the term…
Abstract
The invention relates to a labeling machine at least for labeling and/or printing containers, in particular containers in the food industry and the drinks industry, and to a method for configuring labeling machines. An artificial intelligence method is used in order to create the configuration parameters for a labeling machine. An artificial intelligence module (AI module) receives various input data, including, among other things, datasets from configured labeling machines. The AI module creates a trained parameterization model in order to create the configuration parameters for the labeling machine. The labeling machine is configured and optimized by the configuration parameters of the AI module.
Claims11
A labeling machine for the food industry, in particular for the drinks industry, wherein the labeling machine comprises:
- a plurality of modules at least for labeling and/or printing on containers;
- a control unit for configuring the plurality of modules in accordance with configuration parameters for the plurality of modules, wherein:
- the configuration parameters are created by means of an artificial intelligence, AI, module;
- and
- the control unit transmits the configuration parameters created by the AI module to the corresponding modules in order to configure the modules,
- wherein the labeling machine is configured to:
- transmit information about the operation thereof and the configuration thereof back to the AI module, and
- receive optimized configuration parameters from the AI module, the optimized configuration parameters having been optimized by the AI module.
A method for configuring a labeling machine in the food industry, in particular for a labeling machine in the drinks industry, wherein the method comprises:
- receiving input data relating to at least the labeling and/or printing on a container, wherein the input data comprise parameter datasets for configured labeling machines and operation data;
- creating, by means of an artificial intelligence, AI, module, configuration parameters for the labeling machine, wherein the configuration parameters are based on at least the received input data;
- applying the configuration parameters in order to configure a plurality of modules of the labeling machine, wherein the plurality of modules are designed at least for labeling and/or printing on containers;
- transmitting information about the operation thereof and the configuration thereof back to the AI module, and
- receiving optimized configuration parameters from the AI module, the optimized configuration parameters having been optimized by the AI module.
Dependencies are inferred from the claim text.