A method for controlling a laundry treating apparatus includes a dry cloth sensing operation of sensing an amount of clothes put into a drum, a wet cloth sensing operation of sensing a washing load based on a moisture content of the clothes by supplying water into a tub, and a cloth material sensing operation of sensing a cloth material of the clothes put into the drum based on a rpm gap and a motor-constrained state where rotation of a motor is restricted. The rpm gap is a difference between a target rpm of a rotator in the drum and an actual rpm of the rotator.

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.

According to an embodiment of the present invention, a method of controlling wash timing using an intelligent washer comprises determining to perform a wash, calculating a required time for the wash, predicting a return time of the user, and determining a start time of the wash to terminate the wash corresponding to the return time. According to an embodiment, the washer may be related to artificial intelligence (AI) modules, unmanned aerial vehicles (UAVs), robots, augmented reality (AR) devices, virtual reality (VR) devices, and 5G service-related devices.

The laundry treating appliance can comprise a wash basket defining a washing chamber, having a clothes mover in the treating chamber to agitate the clothes during a cycle of operation for cleaning. The method can comprise supplying a wash liquid to the treating chamber and rotating the clothes mover within the treating chamber with an electric motor operating at a high duty cycle wash phase and a low duty cycle wash phase.

The present disclosure discloses a clothing course control system including a clothing treating course controller according to a clothing material and a server. The clothing treating course controller includes a hanger, a motor configured to vibrate the hanger, a motor current sensor configured to sense a motor current pattern, a clothing material classifier configured to classify a clothing material based on the motor current pattern, and a course controller configured to execute a clothing treating course according to the classified clothing material, the server includes an artificial intelligence model learner configured to generate a clothing material classifying engine trained with data related to the received motor current pattern through an artificial neural network. According to the present disclosure, a clothing treating course of a clothing treating device may be controlled using an artificial intelligence (AI) based clothing material classifying technique and a 5G network.

A clothes care apparatus according to a disclosed embodiment includes: a chamber; an upper fan provided on an upper side of the chamber and configured to move air in a lower side direction of the chamber; a lower fan provided on a lower side of the chamber and configured to move air in an upper side direction of the chamber; a first motor configured to rotate the lower fan; a steam generating device configured to generate steam by heating water; and a controller configured to control on/off of the steam generating device and the first motor and turn on the steam generating device in a first section for supplying the generated steam into the chamber and turn on the first motor in a second section for dispersing the steam by the air moving into the chamber.

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 motor assembly selectively rotates the wash basket, a drain pump assembly selectively drains wash fluid from the wash tub, and a camera assembly is used to monitor an out-of-balance value to minimize out-of-balance issues. Specifically, a controller of the washing machine appliance uses the camera assembly to obtain one or more images of the wash chamber, analyze the one or more images using a machine learning image recognition process to determine the out-of-balance value of the load of clothes in the wash basket, and perform a cloth redistribution process based at least in part on determining that the out-of-balance value is greater than a predetermined out-of-balance threshold.

A washing machine appliance and a method for operating a washing machine appliance are provided. The method includes estimating a mass of articles within a wash chamber of a drum based at least in part on an inertia of the drum and articles within the wash chamber of the drum, gauging the mass of articles within the wash chamber of the drum based at least in part on a volume of water within a tub, and establishing a load type of articles within the wash chamber of the drum based at least in part on the mass of articles within the wash chamber of the drum from the step of estimating and the mass of articles within the wash chamber of the drum from the step of gauging.

The present disclosure discloses a clothing information processing method, comprises: the server receives the clothing information sent by a washing device and saves it; the server receives request information sent by an intelligent terminal; the server obtains the corresponding clothing information according to the request information and sends it to the intelligent terminal. In this disclosure, the server receives the clothing information sent by the washing device and stores the clothing information. In this way, in the whole washing cycle, even after this washing cycle, the user can obtain the clothing information from the server through the intelligent terminal, which avoids that in the prior art, after the stage of uploading clothing information by the washing device is completed, the intelligent terminal can no longer obtain clothing information.

A control method for a clothing treatment apparatus. The clothing treatment apparatus includes an air washing device for performing air washing on clothing. The control method includes: obtaining the material of clothing; obtaining the type of a clothing detergent; obtaining the type of a stain on the clothing; and determining a parametric range of air washing according to the material of the clothing, the type of the clothing detergent, and the type of the stain on the clothing. The embodiments allow clothing to be subjected to air washing treatment within an optical parametric range, i.e., a detergent can exert an activation function to the greatest extent, and also allows a stain to be removed and cleaned within the most suitable parametric range to improve the clothing decontamination capability, thereby improving a clothing treatment effect and improving user experience.