Refrigerator behavior control method and device based on machine learning and refrigerator
A machine learning and control method technology, applied in machine learning, household refrigeration devices, cooling fluid circulation devices, etc., can solve problems such as complex functions and unfavorable user experience, and achieve energy-saving and efficient operation.
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[0031] The present invention will be described in detail below in conjunction with specific embodiments shown in the accompanying drawings. However, these embodiments do not limit the present invention, and any structural, method, or functional changes made by those skilled in the art according to these embodiments are included in the protection scope of the present invention.
[0032] After long-term research and big data analysis based on user operation data statistics, it is found that user operations have certain regularity within a certain period. For example, a user will open the refrigerator at around 6:00 pm from Monday to Friday, store ingredients, and then adjust the temperature of the freezer compartment to -16 degrees; or a user will use WiFi or other smart module functions during the day, but not at night the functions of these modules; etc.
[0033] Based on the above cognition, the present invention provides a refrigerator behavior control method based on machi...
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