Water bearing appliance, control method, and system

A method for generating a maintenance data object for an appliance, the method comprising:

• receiving, by one or more processors, operating data for the appliance, wherein the operating data for the appliance is automatically collected by the appliance, and is associated with at least one of a water inlet, a temperature sensor, or a dosing device of the appliance;
• generating, by the one or more processors, a digital twin appliance data object based at least in part on the operating data and manufacturer data associated with the appliance;
• and
• generating, by the one or more processors and using one or more machine learning models, a predictive maintenance data object, wherein (a) the one or more machine learning models have been trained with training operating data from a plurality of appliances, and (b) the predictive maintenance data object describes a predicted outcome of the appliance based at least in part on the operating data.

A computer program product comprising at least one non-transitory computer-readable storage medium having computer-executable program code instructions stored therein, the computer-executable program code instructions comprising program code instructions to:

• receive operating data for the appliance, wherein the operating data for the appliance is automatically collected by the appliance, and is associated with at least one of a water inlet, a temperature sensor, or a dosing device of the appliance;
• generate a digital twin appliance data object based at least in part on the operating data and manufacturer data associated with the appliance;
• and
• generate, using one or more machine learning models, a predictive maintenance data object, wherein (a) the one or more machine learning models have been trained with training operating data from a plurality of appliances, and (b) the predictive maintenance data object describes a predicted outcome of the appliance based at least in part on the operating data.