A method and device of controlling a moving hanger based on a movement of clothing are disclosed. A method of controlling a clothing styler includes determining a second moving pattern based on a dust amount in a processing chamber and movement information of clothes collected while a moving hanger operates in a first moving pattern, and controlling the moving hanger based on the determined second moving pattern. The controlling method can be associated with an artificial intelligence module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

A method and device of controlling a moving hanger based on a movement of clothing are disclosed. A method of controlling a clothing styler includes determining a second moving pattern based on a dust amount in a processing chamber and movement information of clothes collected while a moving hanger operates in a first moving pattern, and controlling the moving hanger based on the determined second moving pattern. The controlling method can be associated with an artificial intelligence module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

A washing machine according to an aspect of the disclosure includes: a drum; a tub accommodating the drum and storing water; a drum motor configured to provide a rotation force to the drum; a water supplier configured to supply water to the tub; a hot air supplier configured to supply hot air to the drum; a current sensor configured to output a current signal corresponding to a magnitude of current applied to the drum motor; and a controller configured to perform a washing operation while controlling the water supplier and the drum motor, and perform a drying operation while controlling the hot air supplier and the drum motor.

A washing machine according to an aspect of the disclosure includes: a drum; a tub accommodating the drum and storing water; a drum motor configured to provide a rotation force to the drum; a water supplier configured to supply water to the tub; a hot air supplier configured to supply hot air to the drum; a current sensor configured to output a current signal corresponding to a magnitude of current applied to the drum motor; and a controller configured to perform a washing operation while controlling the water supplier and the drum motor, and perform a drying operation while controlling the hot air supplier and the drum motor.

A laundry appliance includes a basket rotatably mounted within a cabinet and defining a chamber configured for receiving a load of clothes, a water supply valve for regulating a flow of water into the chamber, and a humidity sensor positioned within the cabinet for monitoring a chamber humidity. A controller is configured to determine that the water supply valve is open to permit the flow of water into the chamber, identify an anticipated humidity within the chamber based at least in part on the water supply valve being open, obtain the chamber humidity using the humidity sensor, and implementing a responsive action if the chamber humidity does not correspond to the anticipated humidity.

A laundry appliance includes a basket rotatably mounted within a cabinet and defining a chamber configured for receiving a load of clothes, a water supply valve for regulating a flow of water into the chamber, and a humidity sensor positioned within the cabinet for monitoring a chamber humidity. A controller is configured to determine that the water supply valve is open to permit the flow of water into the chamber, identify an anticipated humidity within the chamber based at least in part on the water supply valve being open, obtain the chamber humidity using the humidity sensor, and implementing a responsive action if the chamber humidity does not correspond to the anticipated humidity.

A laundry appliance includes a camera for determining the air flow through an appliance during operation. A controller is operably coupled to the camera. The controller is configured for obtaining one or more images of an air flow indicator positioned in the path of the air flow. An artificial intelligence image recognition process is used to perform image classification and determine whether air flow through the appliance is fully or partially obstructed based on the amount of deflection of the air flow indicator. In the event of an air flow obstruction, operation of the laundry appliance is adjusted.

A laundry appliance includes a camera for determining the air flow through an appliance during operation. A controller is operably coupled to the camera. The controller is configured for obtaining one or more images of an air flow indicator positioned in the path of the air flow. An artificial intelligence image recognition process is used to perform image classification and determine whether air flow through the appliance is fully or partially obstructed based on the amount of deflection of the air flow indicator. In the event of an air flow obstruction, operation of the laundry appliance is adjusted.

A prediction method includes acquisition step, prediction step, determination step, and processing step. In acquisition step, parameters for a drying operation are acquired. In prediction step, based on the acquired parameters, a drying time required for the drying operation is predicted by a first prediction method. In determination step, when the restart of the drying operation is detected while the drying operation is stopped, whether the first prediction method performed in prediction step is applicable is determined. In processing step, when the first prediction method is determined to be applicable, the first prediction method is continued and when the first prediction method is determined not to be applicable, predetermined processing is performed.

A prediction method includes acquisition step, prediction step, determination step, and processing step. In acquisition step, parameters for a drying operation are acquired. In prediction step, based on the acquired parameters, a drying time required for the drying operation is predicted by a first prediction method. In determination step, when the restart of the drying operation is detected while the drying operation is stopped, whether the first prediction method performed in prediction step is applicable is determined. In processing step, when the first prediction method is determined to be applicable, the first prediction method is continued and when the first prediction method is determined not to be applicable, predetermined processing is performed.