Home appliance and method for controlling the same
A method for controlling a home appliance in consideration of a state of a surrounding environment is disclosed. A method for controlling a home appliance according to an exemplary embodiment of the present disclosure includes operating a home appliance using a first operation profile, identifying at least one of a behavior type of a user or a type of sound around the user, using Internet of Things (IoT) communication using 5G communication and artificial intelligence (AI), and changing an operation profile for operating a home appliance to a second operation profile, based on at least one of the identified behavior type of the user or type of sound around the user. According to the present disclosure, in accordance with the state of the surrounding environment, the operation noise can be reduced or the operation time of the home appliance can reduced without increasing the discomfort of the user, and therefore the discomfort of the user due to the operation noise can be relieved.
1. A method for controlling a home appliance, the method performed by one or more processors of the home appliance and comprising:
operating the home appliance using a first operation profile;
identifying a type of sound around a user; and
changing an operation profile for operating the home appliance to a second operation profile, based on the type of sound around the user,
wherein the type of sound around the user is identified using sound data obtained from one or more devices in a home network connected to the home appliance or sensor information from the one or more devices and from a deep neural network that has been trained in advance to estimate a type of sound in accordance with collected sound data.
2. The method according to claim 1 , wherein the identifying type of sound around the user comprises identifying based on at least one of operation state information of the one or more devices in the home network connected to the home appliance or the sensor information from the one or more devices.
3. The method according to claim 1 , wherein the second operation profile has a reduced operation time and an increased average noise level as compared with the first operation profile, or the second operation profile has an increased operation time and a reduced average noise level as compared with the first operation profile.
4. The method according to claim 1 , further comprising identifying a position of the user,
wherein the changing the operation profile to the second profile comprises:
determining a sensible noise of the user caused by the second operation profile based on the position of the user; and
determining the second operation profile that causes the sensible noise of the user that is equal to or lower than a threshold noise level.