The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 28, 2024

Filed:

May. 30, 2019
Applicant:

Lg Electronics Inc., Seoul, KR;

Inventor:

Yunsik Park, Seoul, KR;

Assignee:

LG ELECTRONICS INC., Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
F25D 29/00 (2006.01); G05B 13/02 (2006.01); G05B 19/4155 (2006.01); G06N 3/02 (2006.01); G06N 3/08 (2023.01); G06Q 10/08 (2023.01); G06Q 10/087 (2023.01); G06Q 20/20 (2012.01);
U.S. Cl.
CPC ...
F25D 29/00 (2013.01); G05B 13/027 (2013.01); G05B 19/4155 (2013.01); G06N 3/02 (2013.01); G06N 3/08 (2013.01); F25D 2600/04 (2013.01); F25D 2600/06 (2013.01); F25D 2700/06 (2013.01); F25D 2700/12 (2013.01); F25D 2700/14 (2013.01); G05B 2219/2654 (2013.01); G06Q 10/08 (2013.01); G06Q 10/087 (2013.01); G06Q 20/203 (2013.01);
Abstract

Disclosed is an artificial intelligent refrigerator including a cold-storage chamber; a temperature information receiver for receiving external temperature information of a location in which a purchased item is located; an arrival time information receiver for receiving expected arrival time information to be taken until the item is stored in the cold-storage chamber; and a temperature controller for setting in advance a target cooling temperature of the cold-storage chamber for the item based on an artificial intelligence (AI) processor in which a neural network model is mounted before the item is stored in the cold-storage chamber. Here, the temperature controller inputs the external temperature information and the expected arrival time information to the neural network model to estimate a temperature change of the item and sets in advance a target cooling temperature of the cold-storage chamber based on an estimated temperature change of the item.


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