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Patent Searching and Data


Title:
AIR CONDITIONER AND METHOD FOR CONTROLLING AIR CONDITIONER
Document Type and Number:
WIPO Patent Application WO/2019/198857
Kind Code:
A1
Abstract:
The present disclosure relates to a system which applies a user's location and ambient temperature of an air conditioner to a learned model trained using an artificial intelligence algorithm to obtain at least one of a recommended temperature and an operation mode to be set in the air conditioner, and sets at least one of the obtained recommended temperature and operation mode to the air conditioner. In this case, the learning model may be, for example, a model generated by using at least one of machine learning, a neural network, or a deep learning algorithm as an artificial intelligence algorithm.

Inventors:
LEE, Sang-kyung (B-101, 16 Ildong-ro 204beon-gil,,Dongan-gu, Anyang-si, Gyeonggi-do, 13939, KR)
KIM, Jae-hong (411-802, 60 Seocheondong-ro,,Giheung-gu, Yongin-si, Gyeonggi-do, 17108, KR)
SUH, Hee-jin (405-103, 28 Sinbong 1-ro,,Suji-gu, Yongin-si, Gyeonggi-do, 16845, KR)
LEE, Chang-soo (203-1503, 10 Jeongja-ro 76beon-gil,,Bundang-gu, Seongnam-si, Gyeonggi-do, 13612, KR)
CHOI, Bo-kun (1021-1006, 400 Mokdongseo-ro,,Yangcheon-gu, Seoul, 08090, KR)
Application Number:
KR2018/004747
Publication Date:
October 17, 2019
Filing Date:
April 24, 2018
Export Citation:
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Assignee:
SAMSUNG ELECTRONICS CO., LTD. (129 Samsung-ro, Yeongtong-guSuwon-si, Gyeonggi-do, 16677, KR)
International Classes:
F24F11/65; G01S11/14; G06F3/16; G10L15/02; G10L21/0272; F24F110/10; F24F120/12
Foreign References:
JP2010091228A2010-04-22
KR20150015886A2015-02-11
KR20110034360A2011-04-05
KR20120056781A2012-06-04
KR20160087565A2016-07-22
Attorney, Agent or Firm:
Y.P.LEE, MOCK & PARTNERS (12F Daelim Acrotel, 13 Eonju-ro 30-gilGangnam-gu, Seoul, 06292, KR)
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