US 11,739,464 B2
Washing machine providing fitted default washing options for user using learning method based on artificial intelligence and a system including the same
Sangwon Kim, Seoul (KR); and Jaehoon Lee, Seoul (KR)
Assigned to LG ELECTRONICS INC., Seoul (KR)
Filed by LG ELECTRONICS INC., Seoul (KR)
Filed on Jan. 27, 2020, as Appl. No. 16/773,867.
Claims priority of application No. 10-2019-0151567 (KR), filed on Nov. 22, 2019.
Prior Publication US 2021/0156068 A1, May 27, 2021
Int. Cl. D06F 33/30 (2020.01); D06F 34/08 (2020.01); G05B 13/02 (2006.01); G05B 13/00 (2006.01); G06N 20/00 (2019.01); D06F 105/52 (2020.01); D06F 101/20 (2020.01); D06F 34/32 (2020.01); D06F 101/02 (2020.01)
CPC D06F 34/32 (2020.02) [D06F 33/30 (2020.02); D06F 34/08 (2020.02); G05B 13/00 (2013.01); G05B 13/0265 (2013.01); G06N 20/00 (2019.01); D06F 2101/02 (2020.02); D06F 2101/20 (2020.02); D06F 2105/52 (2020.02); G05B 2219/2633 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A washing machine for setting default washing options of a washing course among a plurality of washing courses using a training method based on artificial intelligence (AI), the washing machine comprising:
an input interface configured to receive an input from a user; and
a processor configured to:
store the plurality of washing courses and default washing options corresponding to each of the plurality of washing courses, wherein the default washing options comprise at least one of a water temperature, a number of rinse cycles, a spin strength, a dry spin strength, or a number of dehydration cycles,
determine whether the user changed at least one default washing option of the washing course or whether the user selected the default washing options of the washing course according to the input;
acquire a use history of the washing course including the changed at least one default washing option or the selected default washing options;
acquire a result from an AI model using AI, wherein the AI model uses weights given to the changed at least one default washing option or the selected default washing options for each acquired use history among a plurality of acquired use histories for a predetermined period from a most recent acquired use history as an input, wherein a higher weight is given to the changed at least one default washing option or the selected default washing options based on how recently the acquired use history was acquired;
determine washing options to be reset as default washing options corresponding to the washing course based on the result of the AI model; and
reset the default washing options to the reset default washing options of the washing course to the determined washing options.