Inductive intelligent water heater

A system (100) for heating water comprising:

• a. a heating and containment circuit (200) fluidly coupled to a plurality of water fixtures (600), comprising an inlet (202) configured to accept water from the plurality of water fixtures (600) into the heating and containment circuit (200), a heating element (215) fluidly coupled to the inlet (202), configured to heat the water, and an outlet (204) fluidly coupled to the heating element (215), configured to direct the water to an external source;
• b. a plurality of sensors (300) comprising pressure sensors, temperature sensors, flow rate sensors, or a combination thereof, wherein at least one pressure sensor, at least one temperature sensor, and at least one flow rate sensor of the plurality of sensors (300) is integrated into the inlet (202), wherein at least one pressure sensor, at least one temperature sensor, and at least one flow rate sensor of the plurality of sensors (300) is integrated into the outlet (204);
• c. a cloud computing system communicatively coupled to the plurality of sensors (300), comprising a predictive artificial intelligence (AI) model, configured to accept data from the plurality of sensors (300) as input and generate a prediction of potential failure of the system (100) and a prediction of future hot water usage and cost as output such that a wireless device is alerted of the prediction of potential failure of the system (100) and the prediction of future hot water usage and cost, wherein the prediction of future hot water usage and cost comprises a prediction of water usage down to a time of day for every day of a year;
• and
• d. a Smart Appliance (400) communicatively coupled to the cloud computing system, the heating and containment circuit (200), and the plurality of sensors (300), comprising:
• i. a processor capable of executing computer-readable instructions;
• and
• ii. a memory component operatively coupled to the processor, the memory component comprising:
• A. a leak detection AI model configured to accept data from the plurality of sensors (300) as input and identifying a detected leak, a detected blockage, excessive water usage, or a combination thereof within, downstream, or upstream of the heating and containment circuit (200);
• B. a User Settings Module comprising computer-readable instructions for:
• I. adjusting based on user input, a temperature for the water stored in the plurality of tanks (220);
• II. adjusting based on user input, an automatic inlet shutoff setting for the heating and containment circuit (200);
• III. adjusting based on user input, an automatic outlet shutoff setting for the heating and containment circuit (200);
• IV. adjusting based on user input, a temporary reduction of water, power, or a combination thereof directed to the heating and containment circuit (200);
• V. adjusting based on user input, a scalding safety governor configured to detect when the heating and containment circuit (200) is producing water at a temperature above a threshold set by a user;
• and
• VI. setting based on user input, a maximum number and a maximum duration of alerts triggered by the Smart Appliance (400);
• C. a Flow Control Module comprising computer-readable instructions for:
• I. automatically activating the electric high-frequency generator (430) upon activation of one or more water fixtures;
• II. temporarily reducing, in response to a request for the temporary reduction of water in the User Settings Module, a flow of water through the heating and containment circuit (200);
• III. automatically activating or deactivating the heating element (215) based on the prediction of future hot water usage and cost from the predictive AI model;
• and
• IV. automatically reducing, in response to the leak detection AI model identifying a detected leak, the flow of water through the heating and containment circuit (200);
• D. a Utility Interface Module comprising computer-readable instructions for:
• I. connecting the system (100) to a utility supplier;
• II. requesting a temporary reduction of operation of the heating and containment circuit (200) to accommodate reductions requested by the utility supplier;
• and
• III. alerting the user in response to temporary reduction of operation requested by the utility supplier;
• E. a Safety Monitor and Control Module comprising computer-readable instructions for:
• I. closing the inlet (202), the outlet (204), or a combination thereof in response to the detected leak, the detected blockage, excessive hot water usage, or a combination thereof;
• II. reducing power to the heating element (215) if the safety scalding governor detects that the heating and containment circuit (200) is producing water at a temperature above the threshold, if the inlet (202), outlet (204), or both are closed, if the utility supplier requests the temporary reduction of operation, or a combination thereof;
• III. detecting an irregularity in the temperature of the water, an irregularity in power delivered to the heating element (215) indicative of a fault in the heating element (215);
• IV. detecting, based on the data from the plurality of sensors (300), the predictive AI model, the leak detection AI model, or a combination thereof, one or more current or predictive faults or maintenance needs;
• V. alerting the user of the detected leak, the detected blockage, excessive hot water usage, or the combination thereof;
• VI. alerting the user of the temporary reduction of water based on the user input requested in the User Settings Module;
• and
• VII. alerting the user of the one or more current or predictive faults or maintenance needs;
• F. a Hot Water Reporting Module comprising computer-readable instructions for:
• I. reporting a cost and trend of power used by the heating and containment circuit (200);
• II. reporting a cost and trend of hot water consumption of the heating and containment circuit (200);
• and
• III. forecasting a future cost of water and power used by the heating and containment circuit (200) based on the prediction of future hot water usage and cost from the predictive AI model;
• G. a Communication Module comprising computer-readable instructions for managing wireless interfaces between the system (100) and one or more external devices;
• H. an Intelligent Power Supply Module comprising computer-readable instructions for:
• I. receiving electric power from a power source;
• II. cleaning, conditioning, and surge-protecting electric power to the Smart Appliance (400);
• and
• III. regulating and distributing power to the heating element (215);
• and
• I. a Maintenance Monitor Module comprising computer-readable instructions for:
• I. alerting the user of the irregularity in the temperature of the water, an irregularity in the power delivered to the heating element (215), or the combination thereof detected by the Safety Monitor and Control Module;
• and
• II. running diagnostics on the heating and containment circuit (200) and one or more modules of the Smart Appliance (400) at a fixed interval.

A system (100) for heating water comprising:

• a. a heating and containment circuit (200) fluidly coupled to a plurality of water fixtures (600), comprising an inlet (202) configured to accept water from the plurality of water fixtures (600), a heating element (215) fluidly coupled to the inlet (202), configured to heat the water, and an outlet (204) fluidly coupled to the heating element (215), configured to direct the water to an external source;
• b. a plurality of sensors (300) comprising pressure sensors, temperature sensors, flow rate sensors, or a combination thereof, wherein at least one pressure sensor, at least one temperature sensor, and at least one flow rate sensor of the plurality of sensors (300) is integrated into the inlet (202), wherein at least one pressure sensor, at least one temperature sensor, and at least one flow rate sensor of the plurality of sensors (300) is integrated into the outlet (204);
• c. a cloud computing system communicatively coupled to the plurality of sensors (300), comprising a predictive artificial intelligence (AI) model, configured to accept data from the plurality of sensors (300) as input and generate a prediction of potential failure of the system (100) and a prediction of future hot water usage and cost as output such that a wireless device is alerted of the prediction of potential failure of the system (100) and the prediction of future hot water usage and cost, wherein the prediction of future hot water usage and cost comprises a prediction of water usage down to a time of day for every day of a year;
• and
• d. a Smart Appliance (400) communicatively and operatively coupled to the heating and containment circuit (200) and the plurality of sensors (300), configured to monitor, operate, regulate, and run diagnostics on the heating and containment circuit (200) automatically or in response to user input, the Smart Appliance (400) comprising a leak detection AI model configured to accept data from the plurality of sensors (300) as input and identifying a detected leak, a detected blockage, excessive water usage, or a combination thereof within, downstream, or upstream of the heating and containment circuit (200).

A system (100) for heating water comprising:

• a. a heating and containment circuit (200) fluidly coupled to a plurality of water fixtures (600), comprising:
• i. an inlet (202) configured to accept the water;
• ii. an outlet (204) configured to direct the water to an external source;
• iii. a plurality of tanks (220), wherein a first tank of the plurality of tanks (220) is fluidly coupled to the inlet (202), wherein at least one tank of the plurality of tanks (220) is fluidly coupled to the outlet (204), wherein the plurality of tanks (220) are fluidly coupled to each other, wherein each tank of the plurality of tanks (220) is configured to store the water;
• and
• iv. a plurality of planar heating surfaces, each planar heating surface (215) fluidly coupled to a bottom of each tank of the plurality of tanks (220) such that each planar heating surface (215) is fully submerged within a tank of the plurality of tanks (220), wherein each planar heating surface (215) comprises a ferromagnetic material, wherein the plurality of planar heating surfaces is configured to heat the water stored by the plurality of tanks (220);
• b. a plurality of sensors (300) comprising pressure sensors, temperature sensors, flow rate sensors, or a combination thereof, wherein at least one pressure sensor, at least one temperature sensor, and at least one flow rate sensor of the plurality of sensors (300) is integrated into the inlet (202), wherein at least one pressure sensor, at least one temperature sensor, and at least one flow rate sensor of the plurality of sensors (300) is integrated into the outlet (204);
• c. a cloud computing system communicatively coupled to the plurality of sensors (300), comprising a predictive artificial intelligence (AI) model, configured to accept data from the plurality of sensors (300) as input and generate a prediction of potential failure of the system (100) and a prediction of future hot water usage and cost as output such that a wireless device is alerted of the prediction of potential failure of the system (100) and the prediction of future hot water usage and cost, wherein the prediction of future hot water usage and cost comprises a prediction of water usage down to a time of day for every day of a year;
• and
• d. a Smart Appliance (400) communicatively and operatively coupled to the heating and containment circuit (200) and the plurality of sensors (300), configured to monitor, operate, regulate, and run diagnostics on the heating and containment circuit (200) automatically or in response to user input, the Smart Appliance (400) comprising a leak detection AI model configured to accept data from the plurality of sensors (300) as input and identifying a detected leak, a detected blockage, excessive water usage, or a combination thereof within, downstream, or upstream of the heating and containment circuit (200).