Patent ID: 11868881
Assignee: LG ELECTRONICS INC.
Field: Other consumer goods (Other fields)
Classification: CPC G  D | IPC D  G

Claim 0:
1. An artificial intelligence laundry drying machine comprising:
a communication circuit configured to receive, from a washing machine, washing information including at least one of a type of laundry, laundry weight before washing, water temperature, dehydration information, drying information, laundry loading ratio, or laundry weight after washing;
a dryer configured to dry laundry;
a humidity sensor configured to collect humidity information inside a drum of the dryer; and
a processor configured to:
provide the washing information to a first artificial intelligence model that is a neural network trained by using washing information and labeling a dryness degree to washing information,
acquire information about a first dryness degree of the laundry from the first artificial intelligence model,
provide the information about the first dryness degree of the laundry acquired from the first artificial intelligence model, a drying mode based on a type of the laundry, and the laundry loading ratio to a second artificial intelligence model to acquire a drying strength in the drying mode,
set a drying strength of the artificial intelligence laundry drying machine,
cause the dryer to perform drying based on the set drying strength,
acquire the humidity information inside the drum using the humidity sensor after performing the drying,
acquire a second dryness degree of the laundry based on the humidity information,
retrain the first artificial intelligence model by labeling the acquired second dryness degree, wherein if the acquired second dryness degree is lower than a predetermined value, the first artificial intelligence model is retrained by labeling the acquired second dryness degree lower than the first dryness degree, and if the acquired second dryness degree is higher than the predetermined value, the first artificial intelligence model is retrained by labeling the acquired second dryness degree higher than the first dryness degree,
retrain the second artificial intelligence model by labeling a second drying strength higher than the drying strength to a specific input value,
receive a user input for performing additional drying, and
retrain the first artificial intelligence model by labeling an additional dryness degree lower than the first dryness degree.