公开(公告)号：US11137161B2

公开(公告)日：2021-10-05

申请号：US15941687

申请日：2018-03-30

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hyun-woo Ock ,  Min-kyong Kim ,  Tan Kim ,  Hyung-seon Song ,  Dong-jun Shin ,  Sung-bin Im ,  Hyeong-joon Seo ,  Young-ju Joo

IPC: F24F11/63 ,  G05B15/02 ,  F24F11/58 ,  F24F11/64 ,  F24F110/12 ,  G06N20/00 ,  F24F130/10 ,  F24F11/523 ,  F24F110/10 ,  F24F11/65 ,  F24F110/22

Abstract: An apparatus and a method for a data learning server is provided. The apparatus of the disclosure includes a communicator configured to communicate with an external device, at least one processor configured to acquire a set temperature set in an air conditioner and a current temperature of the air conditioner at the time of setting the temperature via the communicator, and a generate or renew a learning model using the set temperature and the current temperature, and a storage configured to store the generated or renewed learning model to provide a recommended temperature to be set in the air conditioner as a result of generating or renewing the learning model. For example, the data learning server of the disclosure may generate a learned learning model to provide a recommended temperature using a neural network algorithm, a deep learning algorithm, a linear regression algorithm, or the like as an artificial intelligence algorithm.

公开(公告)号：US12013134B2

公开(公告)日：2024-06-18

申请号：US17489084

申请日：2021-09-29

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hyun-woo Ock ,  Min-kyong Kim ,  Tan Kim ,  Hyung-seon Song ,  Dong-jun Shin ,  Sung-bin Im ,  Hyeong-joon Seo ,  Young-ju Joo

IPC: F24F11/64 ,  F24F11/58 ,  F24F11/63 ,  G05B15/02 ,  F24F11/523 ,  F24F11/65 ,  F24F110/10 ,  F24F110/12 ,  F24F110/22 ,  F24F130/10 ,  G06N20/00

CPC classification number: F24F11/63 ,  F24F11/58 ,  F24F11/64 ,  G05B15/02 ,  F24F11/523 ,  F24F11/65 ,  F24F2110/10 ,  F24F2110/12 ,  F24F2110/22 ,  F24F2130/10 ,  G05B2219/2614 ,  G06N20/00

Abstract: An apparatus and a method for a data learning server is provided. The apparatus of the disclosure includes a communicator configured to communicate with an external device, at least one processor configured to acquire a set temperature set in an air conditioner and a current temperature of the air conditioner at the time of setting the temperature via the communicator, and a generate or renew a learning model using the set temperature and the current temperature, and a storage configured to store the generated or renewed learning model to provide a recommended temperature to be set in the air conditioner as a result of generating or renewing the learning model. For example, the data learning server of the disclosure may generate a learned learning model to provide a recommended temperature using a neural network algorithm, a deep learning algorithm, a linear regression algorithm, or the like as an artificial intelligence algorithm.