A dryer appliance includes a drum rotatably mounted within a cabinet for receiving a load of clothes during a drying cycle. A temperature sensor measures a temperature of air circulated through the drum and a controller obtains a remaining moisture content of the load of clothes from a washing machine appliance, obtains a measured air temperature using the temperature sensor, determines a restriction level of a vent based at least in part on the measured air temperature, and adjusts at least one operating parameter of the dryer appliance based at least in part on the remaining moisture content and the restriction level.

Disclosed herein is an artificial intelligence-based laundry treating apparatus. The artificial intelligence-based laundry treating apparatus according to an embodiment of the present invention receives big data about information of an external environment capable of affecting laundry and life log data including activity information of a user wearing the laundry and automatically sets an optimal laundry management course for the laundry based on input factors including the big data and the life log data. Further, the artificial intelligence-based laundry treating apparatus may operate based on the optimal laundry management course to clean the laundry. A washing machine of the present invention may be associated with an artificial intelligence module, a drone (Unmanned Aerial Vehicle, UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to a 5G service, and the like.

A clothes care apparatus includes a chamber, an upper fan provided above the chamber and configured to move air to a lower side of the chamber, and a lower fan provided under the chamber and configured to move air to an upper side of the chamber. A first motor is configured to rotate the lower fan and a steam generating device is configured to generate steam by heating water. A controller is configured to control on-off states of the steam generating device and the first motor, configured to turn on the steam generating device in a first period for supplying the generated steam to the chamber, and configured to turn on the first motor in a second period for allowing the steam to be dispersed by air moving to the chamber.

A laundry appliance includes a blower that delivers process air through an airflow path. A rotating drum defines a processing chamber. The processing chamber is part of the airflow path. A steam generating system disposes steam into the processing chamber. A plurality of fluid nozzles direct the steam into the processing chamber according to an operating pattern. The plurality of fluid nozzles include a first nozzle that is positioned within an upper portion of the processing chamber and a second nozzle that is positioned in a lower portion of the processing chamber.

A drying air duct, a clothing treatment device and a method for cleaning a drying air duct are provided. The drying air duct includes a condensing section air duct, a heating section air duct and a fan; the fan is provided at a connection position of the condensing section air duct and the heating section air duct, a cleaning device is provided in the condensing section air duct, the cleaning device is provided at an end of the condensing section air duct adjacent to the fan and is capable of cleaning a side of the condensing section air duct away from the fan. The drying air duct can effectively clean the pipe sudden expansion area of the condensing section air duct, preventing the accumulation of soft flocks in the condensing section air duct.

A clothes care apparatus includes a chamber, a first damper, a second damper, a heat exchanger, at least one blower fan, a sensor portion, and a controller. The first damper is configured to control an airflow from inside the chamber to outside the chamber. The second damper is configured to control the airflow into the chamber from the outside. The heat exchanger is provided with a compressor and configured to exchange heat with air in the chamber. The at least one blower fan is configured to generate the airflow. The sensor portion is configured to obtain a temperature and humidity inside and outside of the chamber. The controller is configured to start a drying cycle, control the first and second damper to be opened or closed, and control the heat exchanger and the at least one blower fan by comparing the internal humidity with the external humidity.

A method to control a laundry drying machine having a rotatable drum, a motor for rotating the drum, and a hot air generator for supplying a drying airflow to the drum. The method includes: collecting physicals quantities during an initial phase of said drying cycle, performing an estimation of polynomial coefficients of a cubic polynomial model indicative of an estimated change of a laundry moisture value over the time based on respective linear polynomial models comprising the collected physicals quantities, performing an estimation of the laundry moisture value by the cubic polynomial model based on the estimated polynomial coefficients, and controlling the motor and hot air generator during a drying cycle, based on one or more physicals quantities associated with the drum loaded with laundry, the electric motor and the hot air generator.

The present disclosure relates to an artificial intelligence (AI) dryer. The AI dryer according to an embodiment of the present disclosure includes: a casing; a washing tub disposed in the casing; a motor configured to rotate the washing tub; a driver configured to drive the motor and including an output current detector for detecting an output current flowing through the motor; a heat supplier configured to supply heat to the washing tub; and a controller configured to control the driver, wherein the controller performs learning using DNN based on the output current detected by the output current detector, determines a load of laundry in the washing tub by the learning, and determines operation course information based on information of load of the laundry, thereby providing optimal operation course information corresponding to the information of load of the laundry.

Provided is a clothing management apparatus. The clothing management apparatus includes a steam generator configured to generate steam, a steam discharging member configured to receive steam generated by the steam generator through a hose and discharge the received steam to clothing, a temperature sensor configured to sense a temperature in the clothing management apparatus, and a processor configured to identify a connection state of the hose based on the temperature sensed by the temperature sensor.

A laundry treating appliance for treating laundry according to an automatic cycle of operation includes a cabinet defining a cabinet interior. A drum is rotatable within the cabinet interior, and at least partially defines a treating chamber. The treating chamber has a treating chamber air inlet and a treating chamber air outlet. A drying air circuit is fluidly coupled to the treating chamber air inlet and to the treating chamber air outlet. The laundry treating appliance can include first and second air temperature sensors, at least a first humidity sensor, and a controller operably coupled with the sensors.