Artificial intelligence driven monitoring system for aging whiskey
AssigneeBarrel Proof Technologies LLC
InventorBrian Richard Anderson
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Abstract
This disclosure relates to an AI-driven, non-invasive system configured to analyze whiskey color and maturation outcomes based on sensor-tracked environmental and chemical variables through integrated machine-learning, high-accuracy volume sensing, dielectric-based proof monitoring, and environmental data analysis to forecast how whiskey will age inside a barrel over time, and by leveraging real-time barrel data such as time, proof, volume, temperature, humidity, and evaporation rates, the AI model can accurately analyze the final color, proof, and optimal aging duration for whiskey and other barrel-aged spirits, which can allow distilleries to reduce inconsistencies, improve yield management, and enhance quality control without relying on manual sampling or invasive testing.
Claims20
An apparatus for analyzing a liquid comprising:
- a sensor comprising:
- a transmitter configured to transmit an electromagnetic signal through an external surface of a barrel housing a liquid and into the barrel, wherein the transmitter comprises an antenna element positioned external to the barrel;
- and
- a receiver configured to receive an electromagnetic return signal associated with the transmitted electromagnetic signal;
- one or more memories;
- and
- one or more processors, coupled to the one or more memories, configured to:
- derive at least one data point associated with the liquid based on the transmitted electromagnetic signal and the electromagnetic return signal;
- input the at least one data point into a machine-learning model, wherein the machine-learning model is trained on training data comprising a plurality of data points associated with liquids having known alcohol content values;
- and
- output, by the machine-learning model, based on the input, an alcohol content of the liquid.
A method for analyzing a liquid, the method comprising:
- transmitting an electromagnetic signal through an external surface of a barrel housing the liquid and into the barrel, wherein the electromagnetic signal is transmitted from an antenna element positioned external to the barrel;
- receiving an electromagnetic return signal associated with the transmitted electromagnetic signal;
- deriving at least one data point associated with the liquid based on the transmitted electromagnetic signal and the electromagnetic return signal;
- storing the at least one data point in one or more memories;
- inputting, by one or more processors, the at least one data point into a machine-learning model, wherein the machine-learning model is trained on training data comprising a plurality of data points associated with liquids having known alcohol content values;
- and
- outputting, by the machine-learning model, based on the input, an alcohol content of the liquid.
A system for analyzing a liquid comprising:
- a transmitter to transmit an electromagnetic signal, wherein the transmitter comprises an antenna element positioned external to a barrel containing a liquid;
- a receiver to receive an electromagnetic return signal associated with the transmitted electromagnetic signal;
- one or more memories;
- and
- one or more processors, coupled to the one or more memories, to:
- derive at least one data point associated with the liquid based on the transmitted electromagnetic signal and the electromagnetic return signal;
- input the at least one data point into a machine-learning model, wherein the machine-learning model is trained on training data comprising a plurality of data points associated with liquids having known alcohol content values;
- and
- output, by the machine-learning model, based on the input, an alcohol content of the liquid.
Dependencies are inferred from the claim text.