Self-departing system based on big data and using method thereof

Abstract

The invention discloses a self-departing system based on big data and a using method thereof, and belongs to the field of big data, the self-departing system based on big data comprises a placing frame, a base placed beside the bed and a telescopic module installed on the base. The telescopic module comprises a transverse telescopic module and a vertical telescopic module; an angle adjusting module is connected between the transverse telescopic module and the placing rack; a camera module in signal connection with cloud big data is mounted at the front end of the placing frame; a brightness detection module is mounted at the rear end of the placing frame; the mobile phone can be mounted on the placing frame so as to conveniently monitor and analyze the sleep condition of the owner in realtime through the camera module and cloud big data at night; after the owner plays a mobile phone and falls asleep, the placing frame can be controlled to move upwards to a safe distance, the sleep quality of the owner is not easily influenced by mobile phone radiation, and meanwhile, the standby module is arranged, so that the mobile phone is not easily always in a playing state and the power consumption is not easily reduced.

Description

technical field [0001] The present invention relates to the field of big data, and more specifically, to a self-isolation system based on big data and a method for using the same. Background technique [0002] Today's society is a rapidly developing society, with advanced technology, information flow, people's communication is getting closer and closer, and life is becoming more and more convenient. Big data is the product of this high-tech era. With the advent of the cloud era, Big data is also attracting more and more attention. Big data is a collection of data whose scale is so large that it greatly exceeds the capabilities of traditional database software tools in terms of acquisition, storage, management, and analysis. characteristics, which include structured, semi-structured, and unstructured data, with unstructured data increasingly becoming a major part of data. [0003] In the existing life, more and more users use mobile phones, and the users are getting younger...

AI Technical Summary

Problems solved by technology

[0003] In the existing life, more and more users use mobile phones, and the users are getting younger and younger, which leads to many bad habits, such as liking to play with mobile phones on the bed, especially at night, but playing with mobile phones After falling asleep during the process, the mobile phone is very close to the human body, and the radiation generated by the mobile phone is likely to have an adverse effect on the human body, which makes the quality of sleep not high, and when using the mobile phone to watch TV, the mobile phone is usually in the playback state all the time. The screen will automatically turn off, which is very easy to consume power

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