DATA LEARNING SERVER AND METHOD FOR GENERATING AND USING LEARNING MODEL THEREOF

    公开(公告)号:US20180283723A1

    公开(公告)日:2018-10-04

    申请号:US15941687

    申请日:2018-03-30

    摘要: 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.

    AIR CONDITIONER, AIR CONDITIONING SYSTEM AND CONTROL METHOD THEREOF

    公开(公告)号:US20220196275A1

    公开(公告)日:2022-06-23

    申请号:US17427042

    申请日:2021-07-27

    IPC分类号: F24F11/63 G05B19/042

    摘要: Disclosed are an air conditioner, an air conditioning system, and a control method thereof. The air conditioner includes an input interface, a communication interface configured to communicate with a server, and a processor configured to receive a main setting pattern from the server and operate according to the received main setting pattern, based on a setting value changing, transmit the changed setting value and first environment information at the time when the setting value is changed to the server, based on receiving a selection of an artificial intelligence control operation from a user, transmit current second environment information to the server, control the communication interface to receive the main setting pattern or a sub-setting pattern corresponding to the changed setting value from the server based on the first environment information and the second environment information, and operate according to the received main setting pattern or the received sub-setting pattern.

    DATA LEARNING SERVER AND METHOD FOR GENERATING AND USING LEARNING MODEL THEREOF

    公开(公告)号:US20220018567A1

    公开(公告)日:2022-01-20

    申请号:US17489084

    申请日:2021-09-29

    摘要: 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.

    AIR CONDITIONER AND CONTROL METHOD THEREOF

    公开(公告)号:US20210231336A1

    公开(公告)日:2021-07-29

    申请号:US17050984

    申请日:2019-05-14

    摘要: The present disclosure provides an air conditioner and a control method thereof. The control method of the air conditioner is capable of acquiring a voice of a user including a state of the user, transmitting the voice of the user to an external server, receiving, from the external server, a control command acquired by using a cooling tendency of the user and the state of the user determined on the basis of a usage history of the air conditioner, and controlling the air conditioner on the basis of the control command. In particular, at least a part of a method of acquiring a control command on the basis of a cooling tendency of a user may use an artificial intelligence model trained according to at least one of machine learning, a neural network, and deep learning algorithms.