Disclosed are a dryer and a method of controlling the same, the dryer which is capable of: quickly and accurately determining an amount of laundry loaded in the dryer and controlling a drying operation according to the amount of the laundry: measuring a current supplied to rotate the drum and extracting a force applied to laundry in the drum to measure an amount of the laundry, thereby minimizing an error in the amount of laundry and thus enhancing accuracy of the measurement and improving a drying time; setting a drying time in consideration of both a calculated amount of laundry and a type of the laundry, such that damage to the laundry is prevented and over-drying or less-drying of the laundry is solved, thereby efficiently drying the laundry; and setting a drying time or a rotation speed during a drying operation according to an amount of laundry.

A laundry treating apparatus is disclosed, which is provided with a first treating apparatus washing laundry, a second treating apparatus arranged at a side of the first treating apparatus, washing laundry, and a third treating apparatus provided to be mounted on the second treating apparatus, drying laundry.

A washing machine includes a washing tub configured to accommodate laundry therein, a motor configured to rotate the washing tub, and a controller. The controller is configured to: determine a laundry amount and a laundry-tangled degree by using a plurality of types of data that are measured while rotating the washing tub at a specific rotational speed; set an allowable unbalance (UB) value corresponding to the laundry amount and the laundry-tangled degree; determine a UB value based on rotating the washing tub during a dewatering stroke; and control the motor to stop rotating the washing tub based on the UB value exceeding the allowable UB value.

The present disclosure relates to a laundry treating apparatus providing a plurality of courses or options for a wash cycle or a dry cycle that may request a user's feedback and allow the user to change a setting of the course or option and reflect the feedback by changing the setting based on the feedback, and an online system including the same.

A method for detecting drain standpipe height in a washing machine appliance includes activating a drain pump such that the drain pump flows wash fluid from a tub to a drain standpipe, determining a height of the drain standpipe, and adjusting operation of the washing machine appliance in response to the determined height of the drain standpipe.

An additive dispensing system and method for dispensing wash additive from an additive reservoir of a washing machine appliance is provided. The additive dispensing system includes a tank level sensor and a Venturi pump for drawing wash additive from the additive reservoir. The method includes measuring a level of wash additive in the additive reservoir using the tank level sensor and/or the viscosity of the wash additive, determining an additive dispense rate based at least in part on the level of wash additive and/or the viscosity of the wash additive, and selectively dispensing the flow of water through the Venturi pump based at least in part on the additive dispense rate to dispense a target volume of the wash additive.

A laundry treatment device includes a washing module configured to perform operation related to washing, a camera configured to capture an image of a tag attached to a laundry, and a processor configured to acquire laundry information of a plurality of laundries, to convert the acquired laundry information into encoding data, and to acquire values of laundry control variables corresponding to the converted encoding data based on a laundry course learning model learned using a plurality of reference data through a deep learning algorithm.

The present invention relates to a clothing processing apparatus comprising: a drum which provides a space for storing clothing therein; a driving part which rotates the drum; a storage part, which is fixed on at least one surface of the front surface of the drum and the rear surface of the drum and provides a space for storing liquid therein; a plurality of balancers which are fixed on the circumferential surface of the drum and provide a space for storing liquid therein; a plurality of flow paths which connect the storage part and each of the balancers; and a plurality of valves which open and close each of the flow paths.

A laundry treatment device includes a wireless communication unit, at least one sensor, and a processor configured to apply a learning model learned through a supervised learning algorithm to sensing information including a sensing value collected from the at least one sensor and a measurement time of the sensing value, to acquire microorganism information including a type of microorganism and a proliferation rate of the microorganism, to acquire laundry guide information based on the acquired microorganism information, and to transmit the acquired laundry guide information to a terminal through the wireless communication unit.

Disclosed herein is a washing machine including a first data acquirer configured to collect data related to a laundry pattern of a user, a second data acquirer configured to collect data related to context information, and a processor configured to provide the laundry pattern of the user and the context information to a reinforcement learning model as an environment and to train the reinforcement learning model using feedback of the user on a recommended laundry course when the reinforcement learning model recommends the laundry course.