Machine and method for preparing coffee and method and apparatus for calibrating a coffee grinder
AssigneeIllycaffe' S.P.A.
InventorsChristian BRACICH, Marco FERRARI, Francesco CESCUTTI, Riccardo PIRAS
Life of this patent
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Abstract
A method for calibrating a coffee grinder includes receiving input of sets of extraction data of one or more coffee extraction process parameters, processing the extraction data using an algorithm that implements an artificial intelligence model based on machine-learning, and generating an output data set which includes information used to calibrate a coffee grinder.
Claims28
A machine for preparing coffee, the machine comprising:
- at least one coffee grinder comprising a plurality of grinders configured to grind coffee beans into powdered coffee;
- a coffee extraction chamber configured to receive and hold the powdered coffee from the at least one coffee grinder;
- a controller configured to receive extraction data one or more process parameters acquired over time during at least one coffee extraction operation carried out in the coffee extraction chamber;
- and
- at least one processor configured to process the extraction data using an algorithm that implements an artificial intelligence model based on machine-learning, the algorithm generating output data including information used to calibrate the at least one of coffee grinder at least by adjusting a distance between two of the plurality of grinders,
- wherein the one or more process parameters include at least one of pressure measured in the coffee extraction chamber, flow rate of water fed into the coffee extraction chamber, or temperature of water fed into the coffee extraction chamber.
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A method for preparing coffee in a machine including at least one coffee grinding comprising a plurality of grinders configured to grind coffee beans into powdered coffee and a coffee extraction chamber configured to receive and hold the powdered coffee, the method comprising:
- receiving extraction data including one or more process parameters acquired over time during at least one coffee extraction operation carried out in the coffee extraction chamber;
- and
- processing the extraction data using at least one processor using an algorithm that implements an artificial intelligence model based on machine-learning, the algorithm generating output data including information used to calibrate the coffee grinder at least by adjusting a distance between two of the plurality of grinders,
- wherein the one or more process parameters include at least one of pressure measured in the coffee extraction chamber, flow rate of water fed into the coffee extraction chamber, or temperature of water fed into the coffee extraction chamber.
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Dependencies are inferred from the claim text.