# US 11,994,339 B2 · Artificial intelligent refrigerator and system and method for controlling temperature thereof > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,994,339 B2 - Document ID: US11994339B2 - Status: Granted - Kind: B2 - Application number: 16/487,028 - Filed: 2019-05-30 - Published: 2021-11-25 - Granted: 2024-05-28 - Earliest claimed: 2019-05-30 - Assignees: LG Electronics Inc. - Applicants: LG Electronics Inc. - Inventors: Yunsik Park - Web page: https://patentgrep.com/patent/US11994339B2 ## CPC - F25D 29/00: Arrangement or mounting of control or safety devices - G05B 15/02: electric - G05B 13/027: {using neural networks only} - G05B 19/4155: characterised by program execution, i.e. part program or machine function execution, e.g. selection of a program - G06N 3/02: Neural networks - G06N 3/0499: Feedforward networks - G06N 3/08: Learning methods - G06N 3/09: Supervised learning - G06Q 10/08776: {by management of storage life of perishable or hazardous products} - F25D 2600/04: Controlling heat transfer - F25D 2600/06: Controlling according to a predetermined profile - F25D 2700/06: Sensors detecting the presence of a product - F25D 2700/12: Sensors measuring the inside temperature - F25D 2700/14: Sensors measuring the temperature outside the refrigerator or freezer - G05B 2219/2654: Fridge, refrigerator - G06Q 10/08: Logistics, e.g. warehousing, loading or distribution; Inventory or stock management - G06Q 10/087: Inventory or stock management, e.g. order filling, procurement or balancing against orders - G06Q 10/08772: {Inventory counting methods} - G06Q 20/203: {Inventory monitoring} - F25D: REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR (refrigerated showcases A47F3/04; thermally-insulated vessels for domestic use A47J41/00; refrigerated vehicles, see the appropriate subclasses of classes B60 - B64; containers with thermal insulation in general B65D81/38; heat-transfer, heat-exchange or heat-storage materials, e.g. refrigerants, or materials for the production of heat or cold by chemical reactions other than by combustion C09K5/00; thermally-insulated vessels for liquefied or solidified gases F17C; air-conditioning or air-humidification F24F; refrigeration machines, plants, or systems F25B; cooling of instruments or comparable apparatus without refrigeration G12B) - G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR ## Abstract Disclosed is an artificial intelligent refrigerator including a cold-storage chamber; a temperature information receiver for receiving external temperature information of a location in which a purchased item is located; an arrival time information receiver for receiving expected arrival time information to be taken until the item is stored in the cold-storage chamber; and a temperature controller for setting in advance a target cooling temperature of the cold-storage chamber for the item based on an artificial intelligence (AI) processor in which a neural network model is mounted before the item is stored in the cold-storage chamber. Here, the temperature controller inputs the external temperature information and the expected arrival time information to the neural network model to estimate a temperature change of the item and sets in advance a target cooling temperature of the cold-storage chamber based on an estimated temperature change of the item. ## Claims ### Claim 1 An artificial intelligent refrigerator, comprising: a cold-storage chamber; a temperature information receiver for receiving external temperature information of a location in which a purchased item is located; an arrival time information receiver for receiving expected arrival time information to be taken until the item is stored in the cold-storage chamber; and a temperature controller inputting the external temperature information and the expected arrival time information into a neural network model of an artificial intelligence (AI) processor to estimate a temperature change of the item until the item is stored in the cold-storage chamber, and setting a target cooling temperature of the cold-storage chamber in advance based on the estimated temperature change of the item before the item is stored in the cold-storage chamber. ### Claim 2 (depends on 1) The artificial intelligent refrigerator of claim 1, wherein the temperature controller sets in advance the target cooling temperature of the cold-storage chamber to be inversely proportional to the estimated temperature change of the item before a door of the cold-storage chamber is opened. ### Claim 3 (depends on 1) The artificial intelligent refrigerator of claim 1, further comprising a communication unit for transferring the external temperature information received through a first communication network to the temperature information receiver and transferring the expected arrival time information received through a second communication network to the arrival time information receiver. ### Claim 4 (depends on 1) A temperature control system of an artificial intelligent refrigerator, the temperature control system comprising: the artificial intelligent refrigerator of claim 1; a temperature information transmitter for transmitting the external temperature information to the temperature information receiver; and an arrival time information transmitter for transmitting the expected arrival time information to the arrival time information receiver. ### Claim 5 (depends on 4) The temperature control system of claim 4, wherein the temperature information transmitter comprises a user mobile terminal provided to a user who carries the item to the refrigerator to sense an external temperature of a location in which the item is located through an activated temperature sensing application and for transmitting the external temperature information obtained through sensing to the temperature information receiver. ### Claim 6 (depends on 4) The temperature control system of claim 4, wherein the arrival time information transmitter comprises a navigation device mounted in an item transport device for transferring the item to the refrigerator to transmit the expected arrival time information according to an activated map application to the arrival time information receiver. ### Claim 7 (depends on 4) The temperature control system of claim 4, wherein the arrival time information transmitter comprises a user mobile terminal provided to a user who carries the item to the refrigerator to transmit the expected arrival time information according to an activated map application to the arrival time information receiver. ### Claim 8 An artificial intelligent refrigerator, comprising: a cold-storage chamber; a temperature information receiver for receiving external temperature information of a location in which a purchased item is located; an arrival time information receiver for receiving expected arrival time information to be taken until the item is stored in a cold-storage chamber; an item purchase information receiver for receiving item purchase information comprising a kind and a quantity of the item; and a temperature controller inputting the external temperature information, the expected arrival time information, and the item purchase information into a neural network model of an artificial intelligence (AI) processor to estimate a temperature change of the item until the item is stored in the cold-storage chamber, and setting a target cooling temperature of the cold-storage chamber in advance based on the estimated temperature change of the item before the item is stored in the cold-storage chamber. ### Claim 9 (depends on 8) The artificial intelligent refrigerator of claim 8, wherein the temperature controller sets in advance the target cooling temperature of the cold-storage chamber to be inversely proportional to the estimated temperature change of the item before a door of the cold-storage chamber is opened, but differently sets the target cooling temperature of the cold-storage chamber by temperature sensitivity according to a kind and an amount of a purchased item. ### Claim 10 (depends on 9) The temperature control system of claim 9, wherein the temperature information transmitter comprises: a temperature sensor mounted in an item transport device for transferring the item to the refrigerator to sense an external temperature of a location in which the item is located; and a navigation device mounted in the item transport device to transmit the external temperature information obtained from the temperature sensor to the temperature information receiver. ### Claim 11 (depends on 8) The artificial intelligent refrigerator of claim 8, further comprising a communication unit for transferring the external temperature information received through a first communication network to the temperature information receiver, transferring the expected arrival time information received through a second communication network to the arrival time information receiver, and transferring the item purchase information received through a third communication network to the item purchase information receiver. ### Claim 12 (depends on 11) The temperature control system of claim 11, wherein the temperature information transmitter comprises: a temperature sensor mounted in an item transport device for transferring the item to the refrigerator to sense an external temperature of a location in which the item is located; and a navigation device mounted in the item transport device to transmit the external temperature information obtained from the temperature sensor to the temperature information receiver. ### Claim 13 (depends on 8) A temperature control system of an artificial intelligent refrigerator, the temperature control system comprising: the artificial intelligent refrigerator of claim 8; a temperature information transmitter for transmitting the external temperature information to the temperature information receiver; an arrival time information transmitter for transmitting the expected arrival time information to the arrival time information receiver; and an item purchase information transmitter for transmitting the item purchase information to the purchase information receiver. ### Claim 14 (depends on 13) The temperature control system of claim 13, wherein the item purchase information transmitter comprises: a sensor module comprising a photo sensor for detecting a row position and a column position of a plurality of items displayed on an item shelf provided at a store of the item, a load cell sensor for sensing a weight of the plurality of items, and an image sensor for sensing an image of the plurality of items; an item recognition unit for recognizing the plurality of items based on a sensing value input from the sensor module; and a purchase list transmitter for uploading information on an item in which a movement has occurred by the user among the plurality of items to a purchase list corresponding to user information and transmitting a purchase list comprising the item purchase information to the item purchase information receiver. ### Claim 15 (depends on 13) The temperature control system of claim 13, wherein the item purchase information transmitter comprises a user mobile terminal provided to a user who purchases the item to transmit the item purchase information to the item purchase information receiver through a purchase list application. ### Claim 16 A method of controlling a temperature of an artificial intelligent refrigerator, the method comprising: receiving external temperature information of a location in which a purchased item is located; receiving expected arrival time information to be taken until the item is stored in a cold-storage chamber; inputting the external temperature information and the expected arrival time information into a neural network model of an artificial intelligence (AI) processor to estimate a temperature change of the item until the item is stored in the cold-storage chamber; and setting a target cooling temperature of the cold-storage chamber in advance based on the estimated temperature change of the item before the item is stored in the cold-storage chamber. ### Claim 17 (depends on 16) The method of claim 16, wherein the setting in advance of the target cooling temperature of the cold-storage chamber comprises setting in advance the target cooling temperature of the cold-storage chamber to be inversely proportional to the estimated temperature change of the item before a door of the cold-storage chamber is opened. ### Claim 18 A method of controlling a temperature of an artificial intelligent refrigerator, the method comprising: receiving external temperature information of a location in which a purchased item is located; receiving expected arrival time information to be taken until the item is stored in a cold-storage chamber; receiving item purchase information comprising a kind and a quantity of the item; inputting the external temperature information, the expected arrival time information, and the item purchase information into a neural network model of an artificial intelligence (AI) processor to estimate a temperature change of the item until the item is stored in the cold-storage chamber; and setting a target cooling temperature of the cold-storage chamber in advance based on the estimated temperature change of the item before the item is stored in the cold-storage chamber. ### Claim 19 (depends on 18) The method of claim 18, wherein the setting in advance of the target cooling temperature comprises setting in advance the target cooling temperature of the item to be inversely proportional to the estimated temperature change of the item before a door of the cold-storage chamber is opened. ### Claim 20 (depends on 19) The method of claim 19, wherein the setting in advance of the target cooling temperature of the cold-storage chamber comprises setting in advance the target cooling temperature of the cold-storage chamber to be inversely proportional to the estimated temperature change of the item before a door of the cold-storage chamber is opened, but differently setting the target cooling temperature of the cold-storage chamber by temperature sensitivity according to a kind and an amount of a purchased item.