US 12,013,134 B2
Data learning server and method for generating and using learning model thereof
Hyun-woo Ock, Suwon-si (KR); Min-kyong Kim, Seongnam-si (KR); Tan Kim, Suwon-si (KR); Hyung-seon Song, Suwon-si (KR); Dong-jun Shin, Seoul (KR); Sung-bin Im, Yongin-si (KR); Hyeong-joon Seo, Suwon-si (KR); and Young-ju Joo, Seoul (KR)
Assigned to Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed by Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed on Sep. 29, 2021, as Appl. No. 17/489,084.
Application 17/489,084 is a continuation of application No. 15/941,687, filed on Mar. 30, 2018, granted, now 11,137,161.
Claims priority of provisional application 62/479,207, filed on Mar. 30, 2017.
Claims priority of application No. 10-2017-0123239 (KR), filed on Sep. 25, 2017.
Prior Publication US 2022/0018567 A1, Jan. 20, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. F24F 11/64 (2018.01); F24F 11/58 (2018.01); F24F 11/63 (2018.01); G05B 15/02 (2006.01); F24F 11/523 (2018.01); F24F 11/65 (2018.01); F24F 110/10 (2018.01); F24F 110/12 (2018.01); F24F 110/22 (2018.01); F24F 130/10 (2018.01); G06N 20/00 (2019.01)
CPC F24F 11/63 (2018.01) [F24F 11/58 (2018.01); F24F 11/64 (2018.01); G05B 15/02 (2013.01); F24F 11/523 (2018.01); F24F 11/65 (2018.01); F24F 2110/10 (2018.01); F24F 2110/12 (2018.01); F24F 2110/22 (2018.01); F24F 2130/10 (2018.01); G05B 2219/2614 (2013.01); G06N 20/00 (2019.01)] 8 Claims
OG exemplary drawing
 
1. An air conditioner, comprising:
a blowing fan configured to discharge cooling air to an outside;
a temperature sensor configured to sense a current temperature around the air conditioner;
a display; and
at least one processor configured to:
obtain a recommended temperature, which is a result obtained by applying the current temperature of the air conditioner at a time of setting one of a plurality of operation modes of the air conditioner, to a learning model corresponding to a set operation mode of the air conditioner,
control the display to display the obtained recommended temperature, and
set the obtained recommended temperature in the air conditioner,
wherein the learning model is a learning model learned to identify the recommended temperature based on a plurality of set temperatures previously set in the set operation mode of the air conditioner and a plurality of current temperatures previously sensed in the set operation mode of the air conditioner.