Method, device, and system for detecting dynamic imbalance of washing machine

    公开(公告)号:US11255034B2

    公开(公告)日:2022-02-22

    申请号:US16561924

    申请日:2019-09-05

    Abstract: A dynamic imbalance detection system capable of whether a washing machine is in a dynamically imbalanced position by using big data and executing an AI algorithm or a machine learning algorithm in a 5G communications network environment built for IoT. The system includes a washing machine and a server communicating with the washing machine. The washing machine includes a vibration sensor attached to a washing machine cabinet and a controller receiving a vibration signal detected by the vibration sensor during the operation of the washing machine and processing the vibration signal into vibration data. The server receives the vibration data from the controller and trains a machine learning algorithm on a training dataset that is obtained by processing one or more features among a displacement magnitude, a displacement ratio, and a displacement phase, and determines result values of dynamic balance and dynamic imbalance labeled with the one or more features.

    METHOD, DEVICE, AND SYSTEM FOR DETECTING DYNAMIC IMBALANCE OF WASHING MACHINE

    公开(公告)号:US20220136160A1

    公开(公告)日:2022-05-05

    申请号:US17574382

    申请日:2022-01-12

    Abstract: A dynamic imbalance detection system capable of whether a washing machine is in a dynamically imbalanced position by using big data and executing an AI algorithm or a machine learning algorithm in a 5G communications network environment built for IoT. The system includes a washing machine and a server communicating with the washing machine. The washing machine includes a vibration sensor attached to a washing machine cabinet and a controller receiving a vibration signal detected by the vibration sensor during the operation of the washing machine and processing the vibration signal into vibration data. The server receives the vibration data from the controller and trains a machine learning algorithm on a training dataset that is obtained by processing one or more features among a displacement magnitude, a displacement ratio, and a displacement phase, and determines result values of dynamic balance and dynamic imbalance labeled with the one or more features.

    Apparatus and method for predicting freezing of washing machine

    公开(公告)号:US11326291B2

    公开(公告)日:2022-05-10

    申请号:US16678957

    申请日:2019-11-08

    Abstract: An apparatus and a method for predicting freezing of a washing machine, which predicts freezing of the washing machine based on a change of air temperature through an artificial intelligence algorithm and provides a freeze prediction result to a user terminal associated with the washing machine in a 5G environment, thereby preventing freezing of the washing machine. The apparatus for predicting freezing of the washing machine determines, based on temperature data sensed by a temperature sensor disposed in the washing machine and air temperature data received from a meteorological administration server, an association of temperature change of the washing machine according to the air temperature data, through the freezing prediction algorithm, and predicts freezing of the washing machine based on the association of temperature change of the washing machine and an air temperature forecast received from the meteorological administration server.

    METHOD, DEVICE, AND SYSTEM FOR DETECTING DYNAMIC IMBALANCE OF WASHING MACHINE

    公开(公告)号:US20190390389A1

    公开(公告)日:2019-12-26

    申请号:US16561924

    申请日:2019-09-05

    Abstract: A dynamic imbalance detection system capable of whether a washing machine is in a dynamically imbalanced position by using big data and executing an AI algorithm or a machine learning algorithm in a 5G communications network environment built for IoT. The system includes a washing machine and a server communicating with the washing machine. The washing machine includes a vibration sensor attached to a washing machine cabinet and a controller receiving a vibration signal detected by the vibration sensor during the operation of the washing machine and processing the vibration signal into vibration data. The server receives the vibration data from the controller and trains a machine learning algorithm on a training dataset that is obtained by processing one or more features among a displacement magnitude, a displacement ratio, and a displacement phase, and determines result values of dynamic balance and dynamic imbalance labeled with the one or more features.

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