Method and system for realizing adaptive management of intelligent gateway through AI edge calculation

Abstract

The invention discloses a method and system for realizing adaptive management of an intelligent gateway through AI edge calculation. The method comprises the steps: constructing a human body activityscene portrait model, carrying out discrimination of content layering and grading, and obtaining the original data of each layering and grading of a motion state in real time; obtaining scene data after edge calculation, constructing and self-adaptively perfecting an identification model, and optimizing a scene portrait model sample of the motion state of the smart home product; finely distinguishing part of portrait features by using an optimized SVM algorithm and combining different levels of data; and through a deep learning algorithm, carrying out self-learning on the plurality of model samples, and optimizing and perfecting a scene portrait model of the motion state of the smart home product. According to the invention, motion conditions of smart home equipment, a human body and the like are collected in real time through the terminal nodes, the activity scene portrait model is established, regular downloading of the user Internet portrait feature model is realized through edge calculation, model verification is carried out through a supervised learning mode of an SVM, and the calculation amount is reduced.

Description

technical field [0001] The present invention specifically relates to the technical field of smart home and equipment, and in particular to a method and system for realizing self-adaptive management of smart gateways through AI edge computing. Background technique [0002] On the one hand, advertisers in the Internet advertising industry usually need to collect consumer information (such as age, region, income, etc.) The daily Internet behavior portrait judges that someone is a group of people who are sensitive to promotional advertisements. However, at a certain moment, the individual happens to be unavailable, inconvenient, or in a bad mood. Internet portraits cannot fully understand the user's current real-time situational status. , Pushing at an inappropriate time may cause the user's disgust, which in turn affects the marketing effect and customer perception. [0003] On the other hand, most of the wearable devices, such as wristbands, watches, crutches, and smart shoes...

AI Technical Summary

Problems solved by technology

However, the time series and time signals of wearable devices and smart homes are constantly being generated, and node computing power, power consumption, and delay bring huge challenges to feature modeling.

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