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AssigneeKrones AG
InventorsStefan PIANA, Herbert KOLB, Alexander HEWICKER, Anton NIEDERMEIER
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The invention relates to a container treatment machine for treating containers, in particular in the beverage-processing industry, medical technology, or the cosmetics industry, the container treatment machine comprising a control unit for controlling the function of the container treatment machine and at least one treatment unit for treating the containers; the container treatment machine is designed to treat the containers in exactly one way; the container treatment machine comprises at least one component which can output data relating to its operating state and/or the operating state of the container treatment machine to the control unit; and the control unit comprises a neural network which is configured and trained to use the data to determine whether a deviation of the operating state of the container treatment machine from a normal state is present and/or imminent.
A container treatment machine for treating containers in the beverage processing industry, medical technology, or cosmetics industry, the container treatment machine comprising a control unit for controlling operation of the container treatment machine and at least one treatment unit for treating the containers, the container treatment machine being configured to treat the containers in exactly one way, wherein the container treatment machine comprises at least one component that can output to the control unit data relating to its operating state and/or the operating state of the container treatment machine, and wherein the control unit comprises a neural network configured and trained to determine, on the basis of the data, whether a deviation of the operating state of the container treatment machine from a normal state is present and/or imminent.
A method comprising monitoring the operation of a container treatment machine for treating containers in the beverage processing industry, medical technology, or cosmetics industry, wherein the container treatment machine comprises a control unit controlling the operation of the container treatment machine and at least one treatment unit treating containers, wherein the container treatment machine treats containers in exactly one way, wherein the container treatment machine comprises at least one component outputting to the control unit data relating to its operating state and/or the operating state of the container treatment machine, and wherein the control unit comprises a neural network configured and trained to determine, based on the data, whether a deviation of the operating state of the container treatment machine from a normal state is present and/or imminent.
Dependencies are inferred from the claim text.