公开(公告)号：US12065773B2

公开(公告)日：2024-08-20

申请号：US17271932

申请日：2019-08-30

Applicant: LG Electronics Inc.

Inventor： Myunghun Im ,  Hwanjin Jung ,  Sunggyun Kim ,  Jaehyun Kim ,  Kyungchul Woo

IPC: D06F23/02 ,  D06F33/34 ,  D06F33/36 ,  D06F34/18 ,  D06F35/00 ,  D06F37/06 ,  D06F37/30 ,  D06F39/08 ,  D06F103/04 ,  D06F103/18 ,  D06F105/02 ,  D06F105/48

CPC classification number: D06F33/36 ,  D06F23/025 ,  D06F33/34 ,  D06F34/18 ,  D06F35/006 ,  D06F37/06 ,  D06F37/304 ,  D06F39/087 ,  D06F39/088 ,  D06F2103/04 ,  D06F2103/18 ,  D06F2105/02 ,  D06F2105/48 ,  Y02B40/00

Abstract: A front-loading washing machine and a control method therefor are disclosed. The control method includes: when a sensed amount of laundry in a drum is equal to or less than a preset amount, rubbing step at which the drum is rotated in both directions, wherein the rubbing step comprises: a first rotation step at which the drum is rotated in a first direction by a preset one-direction rotational angle; and a second rotation step at which the drum is rotated by the one-direction rotational angle in a second direction opposite to the first direction, and wherein the first rotation step and the second rotation step are performed alternately and repeatedly. Accordingly, it is possible to perform a washing motion which improves washing performance and reduces wear and tear of the laundry.

公开(公告)号：US11821128B2

公开(公告)日：2023-11-21

申请号：US16557411

申请日：2019-08-30

Applicant: LG Electronics Inc.

Inventor： Myunghun Im ,  Hwanjin Jung ,  Seonhwa Yu ,  Sunggyun Kim ,  Kyungchul Woo

IPC: G06N3/08 ,  D06F39/00 ,  D06F34/18 ,  D06F103/46 ,  D06F103/24 ,  D06F103/04

CPC classification number: D06F34/18 ,  G06N3/08 ,  D06F2103/04 ,  D06F2103/24 ,  D06F2103/46

Abstract: 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.

公开(公告)号：US11447904B2

公开(公告)日：2022-09-20

申请号：US16557947

申请日：2019-08-30

Applicant: LG Electronics Inc.

Inventor： Myunghun Im ,  Hwanjin Jung ,  Seonhwa Yu ,  Sunggyun Kim ,  Kyungchul Woo

IPC: D06F33/00 ,  D06F34/18 ,  D06F33/36 ,  D06F103/46

Abstract: 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).

公开(公告)号：US12264297B2

公开(公告)日：2025-04-01

申请号：US17563342

申请日：2021-12-28

Applicant: LG Electronics Inc.

Inventor： Jongseok Lee ,  Sunggyun Kim ,  Myunghun Im

IPC: C11D1/38 ,  C11D1/46 ,  C11D1/62 ,  C11D3/00

Abstract: A fabric softener composition for liquid carbon dioxide-based cleaning includes: an organic solvent expressed as chemical formula 1, and a cationic surfactant, where the chemical formula 1 is R1-O—(CO)—O—R2, and R1 and R2 are hydrogen (H) or an alkyl group having 1 to 4 carbon atoms.

公开(公告)号：US11725329B2

公开(公告)日：2023-08-15

申请号：US16557398

申请日：2019-08-30

Applicant: LG Electronics Inc.

Inventor： Myunghun Im ,  Hwanjin Jung ,  Seonhwa Yu ,  Sunggyun Kim ,  Kyungchul Woo ,  Jaehyun Kim

IPC: D06F34/18 ,  D06F37/30 ,  D06F21/10

CPC classification number: D06F37/304 ,  D06F21/10 ,  D06F34/18

Abstract: 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.

公开(公告)号：US11618986B2

公开(公告)日：2023-04-04

申请号：US16557995

申请日：2019-08-30

Applicant: LG Electronics Inc.

Inventor： Myunghun Im ,  Hwanjin Jung ,  Seonhwa Yu ,  Sunggyun Kim ,  Kyungchul Woo ,  Jaehyun Kim

IPC: G06N3/08 ,  D06F33/32 ,  D06F34/18 ,  D06F103/02 ,  D06F103/46 ,  D06F105/46 ,  D06F105/48

Abstract: 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.