Lg Electronics Inc.

Junseong Jeong

Junsoo Han

Cholok Han

Younghun Yang

Yonghwan Eom

Sangoh Kim

Seokhyun Kim

The present disclosure relates to a refrigerator. The refrigerator according to an embodiment of the present disclosure includes: a compressor configured to compress a refrigerant; an evaporator configured to perform heat exchange using the refrigerant compressed by the compressor; an RF output device configured to output an RF signal to the evaporator for removing frost on the evaporator; and a controller configured to control the RF output device, wherein the controller is configured to: based on the RF signal, control the frost to phase change into a liquid by heat radiated from a plurality of metal fins of the evaporator; and after the phase change, control temperature of the phase changed liquid to increase by a water molecule movement based on the RF signal. Accordingly, defrosting may be performed using the RF signal.

Refrigerator

An artificial intelligent food refrigerating device and a method for refrigerating food by using the same are disclosed. An artificial intelligent food refrigerating device according to the present disclosure identifies the size, volume, type, and quantity of food to be put into it and determines a target refrigeration temperature and refrigeration time for the food based on an identification result. The artificial intelligent food refrigerating device and method according to the present disclosure may be associated with an artificial intelligent module, a robot, an augmented reality (AR) device, a virtual reality (VR) device, a 5G service-related device, etc.

Artificial intelligence enabled food refrigerating device

A refrigerator comprising a fan to operate for supplying cold air to a cooling chamber; an RF output device disposed in the cooling chamber, and for outputting an RF signal into a cavity in the cooling chamber; and a controller for controlling the RF output device, wherein the controller is configured to output the RF signal to goods in the cavity, and to operate in a first section in which temperature of the goods falls, and a second section in which the temperature of the increases after the first section and maintains, wherein when the RF output device operates, a temperature of the cavity is higher than a temperature of other area in the cooling chamber. Accordingly, the freshness of the goods in the refrigerator can be maintained by using the RF signal.

An artificial intelligent refrigerator is disclosed. The artificial intelligent refrigerator includes: one or more first temperature sensor that senses refrigerating compartment-internal temperature in a refrigerating compartment of the refrigerator; one or more second temperature sensor that senses freezing compartment-internal temperature in a freezing compartment of the refrigerator; and a refrigerator processor that calculates a load accumulation amount for food put in the refrigerator on the basis of the refrigerating compartment-internal temperature or the freezing compartment-internal temperature, and performs a load correspondence operation using the calculated load accumulation amount. According to the artificial intelligent refrigerator of the present disclosure, one or more of a user terminal, and a server of the present disclosure may be associated with an artificial intelligence module, a drone ((Unmanned Aerial Vehicle, UAV), a robot, an AR (Augmented Reality) device, a VR (Virtual Reality) device, a device associated with 5G services, etc.

Artificial intelligent refrigerator

An intelligent inspection device is disclosed. The intelligent inspection device comprising a sound collection collecting a first operation sound generated in a refrigerator and storing the collected first operating sound a reference sound set-up comparing the first operation sound stored in the sound collection with a preset normal sound of the refrigerator, learning a result of the comparison to set a reference sound, and setting a reference sound range based on the set reference sound and a processor collecting, through the sound collection, a second operation sound generated in the refrigerator after the reference sound range has been set, comparing the second operation sound with the reference sound range, and inspecting whether the refrigerator fails based on the result of the comparison. According to the intelligent inspection device or the artificial intelligent refrigerator of the present disclosure, one or more of a user terminal, and a server of the present disclosure may be associated with an artificial intelligence module, a drone ((Unmanned Aerial Vehicle, UAV), a robot, an AR (Augmented Reality) device, a VR (Virtual Reality) device, a device associated with 5G services, etc.

Intelligent inspection device and refrigerator with the same

An intelligent inspection device is disclosed. The intelligent inspection device includes a camera configured to photograph a refrigerator that is installed and a processor configured to position a first refrigerator image photographed by the camera in a preset area of an inspection frame, compare the first refrigerator image with the inspection frame, inspect whether a step is present in the refrigerator based on a result of the comparison, and learn a solution corresponding to a result of the inspection to provide the solution to a user. The intelligent inspection device may be associated with an artificial intelligence module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

Intelligent inspection devices

Disclosed is an artificial refrigerator. The artificial refrigerator according to the present disclosure includes at least one sensor for sensing an operation state of the refrigerator and obtaining operation information about the operation state of the refrigerator and a processor that determines whether the operation state of the refrigerator is normal or abnormal using a deep-learning-based first diagnosis engine based on the operation information obtained using the at least one sensor and diagnoses, upon determination of the abnormality, a cause of the abnormality using a deep-learning-based second diagnosis engine. In the artificial refrigerator of the present invention, at least one of a user terminal or a server may be associated with an artificial intelligence module, a drone (Unmanned Aerial Vehicle, UAV) robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to a 5G service, and the like.

Growing community of inventors

Seoul, South Korea

Junseong Jeong