# US 2024/0200830 A1 · System and method for regulating a water heater via athermostat

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- Number: US 2024/0200830 A1
- Document ID: US20240200830A1
- Status: Published application
- Kind: A1
- Application number: 18/540,352
- Filed: 2023-12-14
- Published: 2024-06-20
- Earliest claimed: 2022-12-19
- Assignees: Carrier Corporation
- Applicants: Carrier Corporation
- Inventors: David Mannfeld
- Web page: https://patentgrep.com/patent/US20240200830A1

## CPC

- F24H 9/2007: {for water heaters}
- G05D 23/1917: {using digital means}
- F24H 9/20: Arrangement or mounting of control or safety devices
- F24H 9/25: of remote control devices or control-panels
- F24H 15/172: Scheduling based on user demand, e.g. determining starting point of heating
- F24H 15/215: before heating
- F24H 15/219: after heating
- F24H 15/223: in the water storage tank
- F24H 15/281: Input from user
- F24H 15/355: Control of heat-generating means in heaters
- F24H 15/395: Information to users, e.g. alarms
- F24H 15/421: using pre-stored data
- F24H 15/45: remotely accessible
- G05D 23/1905: {associated with tele control}
- F24H: FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL (steam generation F22)
- G05D: SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES

## Abstract

Embodiments of the disclosure are directed towards systems and methods for regulating a water heater via a thermostat. The thermostat comprises a receiver configured to receive one or more inputs from one or more sensors configured to monitor, for a predefined duration of time, usage pattern of the water heater. Further, the thermostat comprises a controller configured to determine, via a machine learning neural network, a scheduling pattern for hot water based on the monitored usage pattern. The controller is further configured to operate the water heater based on the scheduling pattern.

## Claims

### Claim 1

A thermostat for regulating a water heater, the thermostat comprising:
a receiver configured to receive one or more inputs from one or more sensors configured to monitor, for a predefined duration of time, a usage pattern of the water heater; and
a controller configured to:
determine, via a machine learning neural network, a scheduling pattern for hot water based on the monitored usage pattern, and
operate the water heater based on the scheduling pattern.

### Claim 2 (depends on 1)

The thermostat of claim 1, wherein the one or more sensors comprises at least one of a pressure sensor, a flow meter, and a temperature sensor.

### Claim 3 (depends on 1)

The thermostat of claim 1, further comprising:
a memory configured to store the machine learning neural network and the inputs received from the one or more sensors.

### Claim 4 (depends on 1)

The thermostat of claim 1, further comprising a communication interface configured to be in communication with the machine learning neural network stored at a cloud network.

### Claim 5 (depends on 1)

The thermostat of claim 1, wherein the receiver is further configured to receive another input from the one or more sensors configured to monitor a water usage pattern at one or more of a water inlet or a water outlet of the water heater.

### Claim 6 (depends on 1)

The thermostat of claim 1, wherein to determine the scheduling pattern, the controller is configured to determine an amount of water required to be output during operation of the water heater.

### Claim 7 (depends on 1)

The thermostat of claim 1, wherein the receiver is further configured to receive another input from the one or more sensors configured to monitor a time required for cooling down of at least one of an inlet pipe and an outlet pipe of the water heater, and wherein the controller is configured to determine the scheduling pattern based on the monitored time.

### Claim 8 (depends on 1)

The thermostat of claim 1, wherein the receiver is further configured to receive another input from the one or more sensors configured to monitor a temperature of water being provided to an inlet pipe of the water heater during one or more specific time durations of a day, and wherein the controller is configured to determine the scheduling pattern based on the monitored temperature of water.

### Claim 9 (depends on 1)

The thermostat of claim 1, wherein the receiver is further configured to receive another input from at least one internal temperature sensor of the water heater configured to determine a rate of change of temperature of water during operation of the water heater, and wherein the controller is configured to modify operation of the water heater based on the determined rate of change of temperature of water.

### Claim 10

A method for regulating a water heater by a thermostat, the method comprising:
receiving, from one or more sensors, one or more inputs associated with monitoring of a usage pattern of the water heater for a predefined duration of time;
determining, by a controller via a machine learning neural network, a scheduling pattern for hot water based on the monitored usage pattern; and
operating the water heater based on the scheduling pattern.

### Claim 11 (depends on 10)

The method of claim 10, wherein the receiving further comprises receiving, from the one or more sensors, another input associated with a water usage pattern at one or more of a water inlet or a water outlet of the water heater.

### Claim 12 (depends on 10)

The method of claim 10, wherein determining the scheduling pattern comprises determining an amount of water required to be output during operation of the water heater.

### Claim 13 (depends on 10)

The method of claim 10 further comprising:
receiving, from the one or more sensors, another input associated with monitoring of a time required for cooling down of at least one of an inlet pipe and an outlet pipe of the water heater,
wherein determining the scheduling pattern comprises determining the scheduling pattern based on the monitored time.

### Claim 14 (depends on 10)

The method of claim 10 further comprising:
receiving, from the one or more sensors, another input associated with monitoring a temperature of water being provided to an inlet pipe of the water heater during one or more specific time durations of a day,
wherein determining the scheduling pattern comprises determining the scheduling pattern based on the monitored temperature of water.

### Claim 15 (depends on 10)

The method of claim 10, further comprising:
receiving, from at least one internal temperature sensor, another input associated with a rate of change of temperature of water during operation of the water heater; and
modifying, by the controller, an operation of the water heater based on the rate of change of temperature of water.

### Claim 16 (depends on 10)

The method of claim 10, further comprising:
recommending, via a display interface of the thermostat, the scheduling pattern for user inputs; and
operating the water heater based on the scheduling pattern in response to receipt of user inputs on the scheduling pattern.
