A drying apparatus including a drying unit and a processor configured to control an operation of the drying unit. The processor is configured to, based on a drying request being received, identify whether the drying request is an initial drying command for a material to be dried or an additional drying request for the material to be dried, and based on the drying request being identified as the additional drying command, control the drying unit to perform an additional drying operation for the material to be dried based on a drying operation method corresponding to a previous drying command for the material to be dried.

A method of operating a pair of laundry appliances is provided. The pair of laundry appliances includes a washing machine appliance and a dryer appliance. The method includes determining a first moisture extraction curve of a spin cycle of the washing machine appliance and determining a second moisture extraction curve of the dryer appliance. The method further includes rotating a basket of the washing machine appliance at an extraction speed for a predetermined period of time. The predetermined period of time is based on the first moisture extraction curve and the second moisture extraction curve.

A washing machine and method for operating a washing machine having a suds container for holding washing liquid, a non-ribbed drum provided with stamped portions rotatably mounted in the suds container for holding laundry, a motor for driving the drum, and a control device. During rotation of the drum in a subcritical rotational speed range, the method includes sampling a variable related to the drum or the motor over a predetermined period of time to determine time signals of the variable, executing a frequency analysis of the time signal of the variable to determine frequency components of the variable in a predetermined frequency range, summing the frequency components at predetermined frequencies of the predetermined frequency range, and detecting, depending on the sum of the summed up frequency components, whether a loading situation where laundry is sliding in the drum is present.

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 appliance includes a wash basket that is rotatably mounted within a wash tub and that defines a wash chamber for receiving a load of clothes. A dispensing assembly selectively dispenses wash fluid through a discharge nozzle into the wash tub and a camera assembly is used to monitor the load of clothes and diagnose the presence of excessive bubbles after a wash cycle. Specifically, a controller of the washing machine appliance uses the camera assembly to obtain one or more images of the load of clothes after the drain phase of the wash cycle and analyzes the one or more images using a machine learning image recognition process to determine a bubble level within the wash tub. If the bubble level is greater than a predetermined bubble threshold, corrective action is taken to reduce the bubbles and detergent concentration.

A method of operating a washing machine appliance includes filling a wash tub with a wash liquid during a first cycle. The method also includes receiving a pause input after filling the wash tub and before draining the wash tub during the first cycle. In response to the pause input, the first cycle is paused for a pause duration. The method further includes incrementing a pause counter in response to the pause input and storing the pause duration after pausing the first cycle. The method also includes filling the wash tub with a wash liquid during a second cycle after the first cycle and automatically pausing the second cycle after filling the wash tub with the wash liquid during the second cycle, based on the pause counter and the stored pause duration

The invention relates to a laundry treating appliance and method for controlling the operation of the laundry treating appliance by determining the surface area of the laundry based on image data of the laundry.

Disclosed are a washing apparatus and a control method thereof using an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for Internet of things (IoT). A washing apparatus including a container in which laundry is accommodated includes a controller, a motor electrically connected to the controller and configured to rotate the container, a weight sensor electrically connected to the controller and configured to measure a weight of the laundry accommodated in the container, and a current sensor electrically connected to the controller and configured to measure a current value applied to the motor.

Disclosed is an artificial intelligence laundry treatment apparatus including a washing tub configured to receive laundry, the washing tub being configured to be rotatable, a motor configured to rotate the washing tub, a controller configured to control the motor such that the washing tub is accelerated to a predetermined target speed at an acceleration gradient of 1.5 to 2.5 rpm/s within a range within which the laundry moves in the washing tub, and a current sensing unit configured to sense current of the motor, wherein the controller is configured to obtain at least one of laundry weight or laundry quality from output of an output layer of an artificial neural network pre-trained based on machine learning using a current value sensed by the current sensing unit during accelerated rotation of the washing tub as input of an input layer of the artificial neural network.

A washing machine and method for operating a washing machine having a suds container and a non-ribbed drum. During rotation of the drum in a subcritical rotational speed range, the method includes determining an average value, a minimum, and a maximum of an oscillation of a physical variable relating to the drum or the motor, forming an overall average value from the determined average values, subtracting the overall average value formed from the corresponding minimum determined per oscillation and the corresponding maximum determined per oscillation to calculate a maximum value and a minimum value per oscillation, respectively. In each case an amount is formed from the respective calculated maximum value and an amount is formed from the respective calculated minimum value, a standard deviation from the amounts is determined, and a loading situation where laundry is rolling in the drum is determined based on the determined standard deviation.