Learable and trainable big data model suitable for smart home

Abstract

The invention discloses a learable and trainable big data model suitable for smart home, the model comprises a supporting table, the left part and the right part of the lower end of the supporting table are provided with adsorption devices respectively, the middle part of the lower end of the supporting table is provided with a clip-shaped groove, and the groove wall of the clip-shaped groove is provided with a battery storage device. Rolling adjusting devices are arranged on the left portions and the right portions of the front end and the rear end of the supporting table correspondingly, a model machine is fixedly installed at the upper ends of the two sets of supporting columns jointly, a screen storage groove is formed in the upper portion of the front end of the model machine, and an isolation device is arranged on the front side of the bottom of an inner cavity of the screen storage groove; a supporting device is arranged on the upper portion of an inner cavity of an H-shaped frame. According to the learable and trainable big data model suitable for the smart home, a telescopic rod drives a placement box to move downwards to be separated from the clip-shaped groove, so that the storage battery is conveniently taken out from the placement groove and replaced, manual disassembly is not needed, and time and labor are saved.

Description

technical field [0001] The invention relates to the field of smart home equipment, in particular to a learnable and trainable big data model suitable for smart homes. Background technique [0002] Smart home can also be called a smart home service platform. It is a comprehensive use of Internet of Things, cloud computing, mobile Internet and big data technology, combined with automatic control technology, to intelligently control home equipment, family environment perception, family health perception, home safety perception and Home life such as information exchange and consumer services are effectively combined to create a healthy, safe, comfortable, low-carbon, and convenient personalized home life. The existing learnable and trainable big data models suitable for smart homes need to be manually disassembled And replacing the battery is time-consuming and laborious. At the same time, the big data model is easy to move by itself when not in use, which reduces the stability....

AI Technical Summary

Problems solved by technology

[0002] Smart home can also be called a smart home service platform. It is a comprehensive use of Internet of Things, cloud computing, mobile Internet and big data technology, combined with automatic control technology, to intelligently control home equipment, family environment perception, family health perception, home safety perception and Home life such as information exchange and consumer services are effectively combined to create a healthy, safe, comfortable, low-carbon, and convenient personalized home life. The existing learnable and trainable big data models suitable for smart homes need to be manually disassembled And replacing the battery is time-consuming and laborious. At the same time, the big data model is easy to move by itself when not in use, which reduces the stability. Secondly, it will generate a lot of heat when working, and the accumulation of too much heat will easily damage the model; it does not have a protective effect on the display screen. It is easy to bump the display and damage it

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