Refrigerator behavior control method and device based on machine learning and refrigerator

Abstract

The invention discloses a refrigerator behavior control method and device based on machine learning and a refrigerator. The method comprises the steps of obtaining current time of the refrigerator; inputting the current time into a refrigerator behavior prediction model, and outputting identification information of a forecasting behavior, wherein the refrigerator behavior prediction model is obtained based on a machine learning algorithm according to running data of history time points of the refrigerator; and according to the identification information of the forecasting behavior, controllingthe refrigerator to carry out the behavior corresponding to the forecasting behavior. Compared with the prior art, the refrigerator behavior control method based on machine learning has the advantages that according to statistics of the running data of the history time points of the refrigerator, the refrigerator behavior prediction model based on machine learning is built, the refrigerator behavior is predicted, according to the predicted behavior, the refrigerator is controlled, the refrigerator provides a humanized service for a user, and meanwhile, running of the refrigerator is more energy-saving and efficient.

Description

technical field [0001] The invention relates to the field of home appliance control, in particular to a machine learning-based refrigerator behavior control method, device and refrigerator. Background technique [0002] At present, most of the functions of traditional home appliances such as refrigerators require manual operation, such as switching to smart mode or holiday mode, adjusting the temperature of the refrigerator, and connecting to wifi. With the development of refrigerators, their functions are becoming more and more complicated, which is not conducive to user experience. [0003] Machine learning (Machine Learning, ML) is a multi-field interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other disciplines. Specializes in the study of how computers simulate or implement human learning behaviors to acquire new knowledge or skills, and reorganize existing knowledge structures to...

AI Technical Summary

Problems solved by technology

With the development of refrigerators, their functions are becoming more and more complicated, which is not conducive to user experience

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