Research on Smart Home Assistance Control Model Based on Machine Learning

This paper studies how smart homes provide users with convenient and comfortable services. The data generated by users’ daily lives can accumulate after a certain period of time and can form a huge basic data set. It contains many valuable information, but usually the information values of these data sets cannot be obtained intuitively, and their distribution is sparse. How to use them effectively and mine out effective information to provide users with intelligent life services are always the goals pursued by researchers. In this paper, machine learning technology is applied to smart home, and a smart home assisted control model based on machine learning is proposed. The model’s machine learning unit will fuse the data of the two aspects, and then predict the status of home equipment, and do some home systems. Behavior feedback, which in turn helps the user to do some secondary control of smart home system operation. Experiments have proved that the assistance system designed in this paper has a high accuracy in the intelligent control of equipment.