Personalized health management method for air conditioners based on complex network and image recognition

Abstract

A personalized health management method for air conditioners based on complex network and image recognition: obtain home environment data, user physiological data and physical examination data; build a deep convolutional neural network A to analyze and process home picture data; DataX 1 And the user's ECG data X 2 Perform feature extraction to obtain network indicators in different periods; build and train a deep convolutional neural network B, and use the deep convolutional neural network B to classify network indicators in different periods; adjust the operating mode of the air conditioner, including according to the established The deep convolutional neural network A, the deep convolutional neural network B, and the real-time acquired home picture data and user physiological data are automatically adjusted, and manual adjustments are performed through the mobile terminal. In the process of air conditioning regulation, the present invention is not based on the user's subjective experience, but combines the home environment scene and the user's physical health status, and can achieve more accurate temperature and humidity regulation.

Description

technical field [0001] The invention relates to an air conditioner management method. In particular, it involves a personalized health management method for air conditioners based on complex networks and image recognition. Background technique [0002] With the development of science and technology and the improvement of people's living standards, air conditioners have become an indispensable household appliance in daily life, and their applications are becoming more and more extensive. At present, the control methods of air conditioners are usually remote control and button control. Remote control cannot achieve control effects outside a specific area, and the acceptable range of the air conditioner is limited; button control needs to be controlled next to the air conditioner. For wall-mounted units and other types of air conditioners , it is difficult to control by button method. Moreover, these two methods cannot automatically adjust and control. When indoor activities ...

AI Technical Summary

Problems solved by technology

At present, the control methods of air conditioners are usually remote control and button control. Remote control cannot achieve control effects outside a specific area, and the acceptable range of the air conditioner is limited; button control needs to be controlled next to the air conditioner. For wall-mounted units and other types of air conditioners , difficult to control by key method

Moreover, these two methods cannot automatically adjust and control. When indoor activities and personnel change, the adjustment of the control plan cannot be made in time, and the local resources cannot be reasonably allocated, which will cause potential waste.

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