Air-conditioner based on parameter learning using artificial intelligence, cloud server, and method of operating and controlling thereof
First Claim
1. An air conditioner, comprising:
- at least one processor; and
at least one computer memory operably connectable to the at least one processor and storing instructions that, when executed by the at least one processor, perform operations comprising;
generating at least one parameter in a first operation mode of the air conditioner, wherein the first operation mode is operated only within a preset time range;
controlling, based on operation mode information including at least one result factor that is obtained from at least one machine-learning network, at least one of (i) a wind direction and an air volume of discharged air, or (ii) supply of compressed refrigerant for exchanging heat with air in the air conditioner; and
performing, based on the generated at least one parameter, an operation of switching to a second operation mode after a time period of operation in the first operation mode,wherein an absolute value of a first temperature change rate during the first operation mode is greater than an absolute value of a second temperature change rate during the second operation mode,wherein the air conditioner is configured to change a room temperature in a stepwise change rate after the first operation mode is terminated,wherein, (i) based on a difference between a current temperature and a target set temperature being within a temperature band or (ii) based on the difference being maintained for a time period in the second operation mode, the operations further comprise performing an operation to switch to the first operation mode, andwherein the target set temperature is automatically set to a temperature that is determined by an external server based on big data in response to the current temperature.
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Accused Products
Abstract
An air conditioner includes: an indoor unit including a blowing unit to discharge air; an outdoor unit supplying compressed refrigerant to the indoor unit, to exchange heat with the air before discharge. The air conditioner also includes at least one computer memory operably connectable to at least one processor and storing instructions that, when executed, perform operations that include: generating at least one parameter in a first operation mode, which is operated only within a preset time range; controlling, based on an operation mode information, at least one of (i) the blowing unit to change a wind direction and an air volume, or (ii) the outdoor unit; and switching to a second operation mode after a time period of operation in the first operation mode. The operation mode information includes at least one result factor obtained from at least one machine-learning network.
22 Citations
18 Claims
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1. An air conditioner, comprising:
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at least one processor; and at least one computer memory operably connectable to the at least one processor and storing instructions that, when executed by the at least one processor, perform operations comprising; generating at least one parameter in a first operation mode of the air conditioner, wherein the first operation mode is operated only within a preset time range; controlling, based on operation mode information including at least one result factor that is obtained from at least one machine-learning network, at least one of (i) a wind direction and an air volume of discharged air, or (ii) supply of compressed refrigerant for exchanging heat with air in the air conditioner; and performing, based on the generated at least one parameter, an operation of switching to a second operation mode after a time period of operation in the first operation mode, wherein an absolute value of a first temperature change rate during the first operation mode is greater than an absolute value of a second temperature change rate during the second operation mode, wherein the air conditioner is configured to change a room temperature in a stepwise change rate after the first operation mode is terminated, wherein, (i) based on a difference between a current temperature and a target set temperature being within a temperature band or (ii) based on the difference being maintained for a time period in the second operation mode, the operations further comprise performing an operation to switch to the first operation mode, and wherein the target set temperature is automatically set to a temperature that is determined by an external server based on big data in response to the current temperature. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method of controlling an air conditioner based on machine-learning, the method comprising:
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discharging air in a first operation mode of the air conditioner within a preset time range, wherein the first operation mode is operated only within a preset time range; generating at least one parameter in the first operation mode of the air conditioner; controlling, based on operation mode information including at least one result factor that is obtained from at least one machine-learning network, at least one of (i) a wind direction and an air volume of discharged air, or (ii) supply of compressed refrigerant for exchanging heat with air in the air conditioner; and performing, based on the generated at least one parameter, an operation of switching to a second operation mode after a time period of operation in the first operation mode, wherein an absolute value of a first temperature change rate during the first operation mode is greater than an absolute value of a second temperature change rate during the second operation mode, wherein the air conditioner is configured to change a room temperature in a stepwise change rate after the first operation mode is terminated, wherein, (i) based on a difference between a current temperature and a target set temperature being within a temperature band or (ii) based on the difference being maintained for a time period in the second operation mode, the operations further comprise performing an operation to switch to the first operation mode, and wherein the target set temperature is automatically set to a temperature that is determined by an external server based on big data in response to the current temperature. - View Dependent Claims (12, 13, 14)
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15. A cloud server, comprising:
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at least one processor; and at least one computer memory operably connectable to the at least one processor and storing instructions that, when executed by the at least one processor, perform operations comprising; receiving, from each of plurality of air conditioners, at least one parameter generated in a first operation mode of respective air conditioner, wherein the at least one parameter is related to at least one temperature individually set in the respective air conditioner; for each of the plurality of air conditioners, using at least one machine-learning network to process the at least one parameter received from the respective air conditioner, and generating, through a learning process, operation mode information for the respective air conditioner; and transmitting, to each of the plurality of air conditioners, the operation mode information for the respective air conditioner, wherein the cloud server communicates with the plurality of air conditioners, wherein the operation mode information comprises data to set a second operation mode of the respective air conditioner after a period of time of operating in the first operation mode based on the received at least one parameter, wherein an absolute value of a first temperature change rate during the first operation mode is greater than an absolute value of a second temperature change rate during the second operation mode of the respective air conditioner, wherein the respective air conditioner is configured to change a room temperature in a stepwise change rate after the first operation mode is terminated, wherein, (i) based on a difference between a current temperature and a target set temperature being within a temperature band or (ii) based on the difference being maintained for a time period in the second operation mode, the operations further comprise performing an operation to switch to the first operation mode, and wherein the target set temperature is automatically set to a temperature that is determined by an external server based on big data in response to the current temperature. - View Dependent Claims (16, 17, 18)
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Specification