F25D2500/04

Refrigerator and method of controlling same based on an estimation of a varying state

A refrigerator includes a compressor configured to circulate a refrigerant, a condenser configured to condense the refrigerant circulated by the compressor, a cooling component configured to cool a storage compartment using the refrigerant condensed by the condenser, and a processor configured to control driving of the cooling component, acquire a load variation of the storage compartment of the refrigerator, the load variation having an effect on a refrigeration cycle, determine a drive value for driving a component forming the refrigeration cycle based on the load variation, drive the cooling component based on the drive value, and acquire the load variation with a lapse of time during at least one cooling period in which the refrigeration cycle cools the storage compartment.

ARTIFICIAL INTELLIGENCE DEVICE FOR FREEZING PRODUCT AND METHOD THEREFOR
20210239338 · 2021-08-05 · ·

An artificial intelligence device includes a temperature sensor configured to measure a temperature of a product to be frozen, and a processor configured to acquire, via the temperature sensor, temperature distribution information about at least a part of the product, acquire frozen state information including at least one of freezing progress information, surface temperature information, or ambient temperature information about the product, based on the temperature distribution information about the product, and acquire a remaining freezing time until the product is frozen to a target frozen state, based on the frozen state information about the product.

AN ARTIFICIAL INTELLIGENCE ENABLED FOOD REFRIGERATING DEVICE

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.

TEMPERATURE CONTROL SYSTEM

A temperature control system is used for controlling a temperature of a control target to a target temperature that changes with lapse of time. The system includes: a first adjustment apparatus that includes a first tank that stores a first heat transfer medium, adjusts the temperature of the first heat transfer medium to a first set temperature, and supplies the temperature-adjusted first heat transfer medium; a first circulation circuit through which the first heat transfer medium flows from the first adjustment apparatus to a first flow-through path and returns to the first adjustment apparatus; an adjustment section that adjusts an amount of heat supplied from the first flow-through path to the control target; a memory that stores a relation between the lapse of time and the target temperature; and a controller.

Refrigerator and humidity control method

The present invention discloses a refrigerator and a humidity control method for the same. The refrigerator comprises a humidity controller to controllably maintain moisture and/or perform humidification. The humidity controller is configured to: set a target humidity value, measure an actual relative humidity value of a target space, and calculate a target water replenishing mass W based on a difference between the two values and a current temperature of the target space; measure and calculate a water replenishing time T, and adjust the humidity controller so as to maintain its maximum humidifying rate V.sub.max within the time T to achieve the humidification purpose; and adjust the humidity controller so as to maintain a humidifying rate consistent with a water vapor loss rate in the target space to achieve the moisture maintaining purpose.

REFRIGERATOR HAVING A COLD AIR SUPPLY MEANS AND CONTROL METHOD THEREFORE

A control method for a refrigerator includes sensing a temperature of a storage room; operating a cool air supply at a cooling power when the sensed temperature of the storage room is equal to or above a first reference temperature; operating the cool air supply at a delay power, which is less than the cooling power, when the sensed temperature of the storage room is equal to or below a second reference temperature, which is less than the first reference temperature while the cool air supply is operating at the cooling power; and adjusting the cooling power or the delay power of the cool air supply according to the temperature of the storage room while the cool air supply is operating at the delay power, and operating the cool air supply at the determined adjusted cooling power or delay power.

Meat aging chamber and system utilizing a communications network
11006657 · 2021-05-18 ·

A meat aging chamber suitable for residential or portable use is provided. An aging apparatus comprises a refrigerated aging cabinet having a climate created by environmental apparatus. A server in a cloud resource communicates with a control circuit in the aging apparatus and with a portable interactive device. In a setup mode the portable interactive device communicates with a control circuit in the aging apparatus via a communications interface to identify the user to the control circuit. In an operating mode the communications interface enables communication between the cloud resource and the control circuit. A sensor module provides current values to the cloud resource for controlling operation in accordance with a software program embodying the aging protocol. The cloud resource can inform the smartphone of aging progress and alarm conditions. Physical features enable embodying the functions of a commercial aging chamber in a residential sized unit.

Refrigerator having a cold air supply means and control method therefore

A control method for a refrigerator includes sensing a temperature of a storage room; operating a cool air supply at a cooling power when the sensed temperature of the storage room is equal to or above a first reference temperature; operating the cool air supply at a delay power, which is less than the cooling power, when the sensed temperature of the storage room is equal to or below a second reference temperature, which is less than the first reference temperature while the cool air supply is operating at the cooling power; and adjusting the cooling power or the delay power of the cool air supply according to the temperature of the storage room while the cool air supply is operating at the delay power, and operating the cool air supply at the determined adjusted cooling power or delay power.

Predictive maintenance of refrigeration cases

Embodiments of the present invention disclose a method, a computer program product, and a computer system for predictive maintenance of refrigeration cases. A computer collects a temperature time series for a refrigeration case and, based on the temperature time series, learns a refrigeration case signature for both non-frost and defrost cycles. The computer generates features based on the refrigeration case signature and compares the refrigeration case signature to real time, or observed, temperatures and features using a rule-based and/or machine learning framework. Based on determining that the real time data varies beyond a threshold from the refrigeration case signature, the computer identifies a failure symptom of the refrigeration case and diagnoses a root cause of the symptom or failure. In addition, the computer may activate an alarm and open a work order corresponding to the root cause of the symptom or failure.

Predictive maintenance of refrigeration cases

Embodiments of the present invention disclose a method, a computer program product, and a computer system for predictive maintenance of refrigeration cases. A computer collects a temperature time series for a refrigeration case and, based on the temperature time series, learns a refrigeration case signature for both non-frost and defrost cycles. The computer generates features based on the refrigeration case signature and compares the refrigeration case signature to real time, or observed, temperatures and features using a rule-based and/or machine learning framework. Based on determining that the real time data varies beyond a threshold from the refrigeration case signature, the computer identifies a failure symptom of the refrigeration case and diagnoses a root cause of the symptom or failure. In addition, the computer may activate an alarm and open a work order corresponding to the root cause of the symptom or failure.