A washing machine control method is provided. A washing machine has a remote control function. After the washing machine is powered off and then restarted, the remote control function is controlled to be enabled/disabled according to an unlocked/locked state of a door lock. The washing machine control method is applicable to the field of Internet of Things (Internet of Things) washing machines, and may effectively guarantee the safety of an Internet of Things washing machine in remote control and avoid occurrence of safety accidents. Meanwhile, a washing machine using the washing machine control method is further disclosed.

A laundry appliance having a cabinet accommodating a laundry treatment chamber, a storage drawer comprising at least one compartment for containing laundry treatment agent and a drawer seat slidingly housing the storage drawer such that the storage drawer is slidable between a retracted position, in which the storage drawer is retracted inside the drawer seat, and an extracted position, in which the storage drawer is at least partially extracted from the drawer seat. The laundry appliance further comprises a drawer position detecting system for detecting when the drawer is in the retracted position. The drawer position detecting system comprises a target element on one of the cabinet and the drawer, and a sensor element on the other of the cabinet and the drawer. The detecting system is configured to sense a proximity of the target element to the sensor element.

A laundry appliance uses a determination of volumetric airflow rate after a steady state condition is reached to determine the accumulation of lint in filter. Based on the determination, various actions can be taken including notifying the user, shutting off the appliance, initiating an automatic cleaning sequence for one or more lint filters, and combinations thereof. One or more temperature sensors, relative humidity sensors, and weight sensors are used to provide measurements for determining the volumetric airflow rate.

A method of controlling the clothes dryer includes offering one or more preset dryness levels that may be selected using a programmable dryness level selector to establish a drying cycle. Each of the preset dryness levels may correspond to a stored remaining moisture content. The method additionally includes sensing a remaining moisture content of a load of fabric in the clothes dryer and displaying the remaining moisture content of the load of fabric to a user. The method further includes automatically stopping the clothes dryer using a controller configured to determine when the remaining moisture content of the load of fabric reaches the selected preset dryness level. The one or more preset dryness levels may be customizable by saving a target remaining moisture content for each preset dryness level.

A method of operating a washing machine appliance is provided. The washing machine appliance includes a wash basket rotatably mounted within a wash tub and defining a wash chamber configured for receiving of a load of articles. A camera is positioned with a view of the wash chamber. The method includes obtaining one or more images of the wash chamber with the camera, analyzing the one or more images using a machine learning image recognition process to determine that the articles are tangled, and adjusting at least one operating parameter of the washing machine appliance in response to determining that the articles are tangled.

Gasket (1) for washing machines (9), which comprises at least one annular body (2) of deformable material and is provided with at least one first perimetric lip (3), wherein the gasket (1) comprises at least one perimetric canal (6) which extends at least partially along the annular body (2) and is adapted to house at least partially an elongated sensor (12). The present description also relates to a washing machine (9) in which said gasket (1) is applied around an access opening (8) of the drum of the washing machine (9), which is provided with a door (10) suitable for closing this access opening (8). The present description also relates to a method for controlling this washing machine (9).

Provided is a home appliance that performs a washing or drying operation based on a start command input through artificial intelligence and voice recognition a method for controlling such a home appliance. According to the present disclosure, the home appliance and the method for controlling such a home appliance include a sensor that senses a state of a door installed in a washing unit and a controller that executes an operation command based on a change of a state of the door sensed by the sensor. At this time, when the door is changed from an open state to a close state after the power of the home appliance is turned on, the controller controls the operation of the washing unit based on the operation command extracted from the voice signal of the user. Thus, the present disclosure may enable performing an command to start an operation input based on voice recognition.

A method for detecting entrapment of an article between a laundry machine door and bellows, comprising: identifying a maximum startup motor torque value of the drum motor while accelerating the drum from a stop to a target rotation speed; identifying a maximum operating motor torque value while rotating the drum at the target rotation speed; comparing a difference between the maximum startup motor torque value and the maximum operating motor torque value to a predetermined torque difference value; and terminating operation if the difference exceeds the predetermined torque difference value. A laundry washing machine configured to perform the method is also provided.

Disclosed herein is a laundry treatment apparatus including a cabinet including an upper cover, a first side cover and a second side cover, a cover through hole formed through the upper cover, and an outlet formed in a front surface of the cabinet, a drawer including a drawer body, and a drawer panel fixed to the drawer body, a tub arranged in the drawer body, a drum rotatably arranged inside the tub, an operation part having one end rotatably fixed to the first side cover and a free end, a contact portion exposed to an outside of the cabinet and configured to move toward an inside of the cabinet and toward the cover through hole, a converter configured to move the free end, and a position sensor configured to sense a position of the free end when the outlet is closed to sense closure of the outlet.

A dryer appliance includes a microphone for monitoring sound generated during operation of the dryer appliance and a controller is operably coupled to the microphone. The controller is configured for obtaining a sound signal generated during operation of the dryer appliance and converting the sound signal into a spectrogram that represents a sound frequency and a sound amplitude over time. An artificial intelligence image recognition process is used to analyze the spectrogram to identify one or more sound signatures that are associated with particular operating conditions, and operation of the dryer appliance is adjusted based at least in part on the identification of the sound signature.