Lg Electronics Inc.

Seonhwa Yu

Hwanjin Jung

Myunghun Im

Kyungchul Woo

Jaehyun Kim

Sunggyun Kim

Junghoon Lee

Kayeon Kim

Sangwoo Woo

Woo Hong

A washing machine is configured to rotate a cylindrical drum formed by processing a metal sheet about a horizontal axis. The drum includes a lifter, formed by processing the metal sheet, respectively provided at a plurality of points spaced along a circumferential direction, when viewed from a front side. The lifter includes a front lifter which is formed by protruding the metal sheet into the drum, and pressurized to be extended in a longitudinal direction of the drum, and a rear lifter disposed in a rear side of the front lifter. The rear lifter is disposed to form a certain phase angle with respect to the front lifter.

Washing machine

The present disclosure relates to a washing machine configured to rotate a cylindrical drum formed by processing a metal sheet about a horizontal axis. The drum includes a lifter, formed by processing the metal sheet, respectively provided at a plurality of points spaced along a circumferential direction, when viewed from a front side. The lifter includes a front lifter which is formed by protruding the metal sheet into the drum, and pressurized to be extended in a longitudinal direction of the drum, and a rear lifter disposed in a rear side of the front lifter. The rear lifter is disposed to form a certain phase angle with respect to the front lifter.

A control method of washing machine includes: a first detection step of acquiring amount of laundry accommodated in a washing tub; a first washing step of performing washing based on a first laundry amount, when the first laundry amount acquired in the first detection step is equal to or larger than a preset first threshold value; a second detection step of, acquiring the laundry amount accommodated in the washing tub by an output of an output layer of an artificial neural network while using a current value inputted to a motor for rotating and acceleration of the washing tub as an input data of an input layer of the artificial neural network previously learned by machine learning; and a second washing step of performing washing based on a second laundry amount, when the second laundry amount acquired in the second detection step is smaller than the first threshold value.

Artificial intelligence washing machine and controlling method therefor

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 rotated while being accelerated, and a current sensing unit configured to sense current of the motor, wherein the controller is configured to obtain laundry weight and 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 within a range within which the laundry moves in the washing tub.

Artificial intelligence laundry treatment apparatus and method of controlling the same

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.

Disclosed is a method of controlling a washing machine, the method including determining the state of laundry received in a washing tub from output of an output layer of an artificial neural network pre-trained based on machine learning using a current value supplied to a motor configured to rotate the washing tub during accelerated rotation of the washing tub as input data of an input layer of the artificial neural network (a first sensing step), selecting one of a plurality of washing modes classified in consideration of the wear degree of laundry or washing strength based on the state of the laundry, and performing washing according to the selected washing mode (a washing cycle step).

Artificial intelligence washing machine and method of controlling the same

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 rotated while being accelerated, and a current sensing unit configured to sense current of the motor at predetermined time intervals, wherein the controller is configured to input, to an input layer of an artificial neural network pre-trained based on machine learning, input data generated by processing current values sensed by the current sensing unit while the motor is accelerated within a range within which the laundry moves in the washing tub according to a predetermined parsing rule in order to obtain at least one of laundry weight or laundry quality from output of an output layer of the artificial neural network.

Disclosed is a heating circulation type drying module of a dishwasher using a fan module and PTC heaters. The dishwasher includes a cabinet defining the external appearance, a tub provided in the cabinet, a door for opening or closing the tub, a flow-path unit for circulating air inside the tub through a suction port and an exhaust port, which communicate with the tub, a suction duct for communicating with the suction port, an exhaust duct for communicating with the suction duct and the exhaust port, at least two heaters provided inside the exhaust duct for heating the air, and a fan for supplying the air to the heaters. The dishwasher may achieve improved drying performance via adjustment in the temperature of air to be discharged, and may reduce power consumption via omission of a rinsing water heating course.

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Seoul, South Korea

Seonhwa Yu