Systems and methods for an artificial intelligence-based appliance end-of-life calculator
AssigneeState Farm Mutual Automobile Insurance Company
InventorsAlexander Cardona, Michael P. Baran, Daniel Wilson
Life of this patent
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Abstract
A computer system is provided. The computer system may be programmed to: (a) receive appliance data relating to a first appliance; (b) compute, using an artificial intelligence model, a predicted remaining lifetime of the first appliance based upon the received appliance data, wherein the artificial intelligence model is trained based upon historical appliance data including historical lifetimes of appliances; and/or (c) transmit content data to a user device that, when received by the user device, causes the user device to generate a user interface including at least the predicted remaining lifetime.
Claims20
A computing device for training an artificial intelligence (AI) model to predict a lifetime of one or more appliances, the computing device comprising at least one processor and at least one memory device in communication with the at least one processor, the at least one processor configured to:
- receive historical appliance data including historical lifetimes of a plurality of appliances, at least some of the historical appliance data generated by sensors configured to monitor one or more parameters of at least one of the plurality of appliances;
- train an AI model using the historical appliance data including the historical lifetimes of the plurality of appliances, the AI model configured to output a predicted remaining lifetime of an appliance based upon an input of appliance data relating to the appliance;
- and
- store the trained AI model in the at least one memory device.
A computer-implemented method for training an artificial intelligence (AI) model to predict a lifetime of one or more appliances, the computer-implemented method performed by a computing device including at least one processor and at least one memory device in communication with the at least one processor, the at least one processor configured to:
- receiving, by the at least one processor, historical appliance data including historical lifetimes of a plurality of appliances, at least some of the historical appliance data generated by sensors configured to monitor one or more parameters of at least one of the plurality of appliances;
- training, by the at least one processor, an AI model using the historical appliance data including the historical lifetimes of the plurality of appliances, the AI model configured to output a predicted remaining lifetime of an appliance based upon an input of appliance data relating to the appliance;
- and
- storing, by the at least one processor, the trained AI model in the at least one memory device.
At least one non-transitory computer-readable media having computer-executable instructions embodied thereon for training an artificial intelligence (AI) model to predict a lifetime of one or more appliances, wherein when executed by at least one processor in communication with at least one memory device, the computer-executable instructions cause at least one processor configured to:
- receive historical appliance data including historical lifetimes of a plurality of appliances, at least some of the historical appliance data generated by sensors configured to monitor one or more parameters of at least one of the plurality of appliances;
- train an AI model using the historical appliance data including the historical lifetimes of the plurality of appliances, the AI model configured to output a predicted remaining lifetime of an appliance based upon an input of appliance data relating to the appliance;
- and
- store the trained AI model in the at least one memory device.
Dependencies are inferred from the claim text.