Remote control system based on real-time sleep monitoring data

Abstract

The invention relates to a remote control system based on real-time sleep monitoring data. The remote control system comprises a multifunctional pillow, an environment detection module, a cloud computing platform and a mobile terminal. The cloud computing platform acts as the center of the remote control system. The multifunctional pillow comprises a pillow body and built-in functional modules. The built-in functional modules include an ARM chip, an intelligent adjusting module, a sleep detection module and a first wireless communication module. The ARM chip is connected with the sleep detection module, the intelligent adjusting module and the wireless communication module. The wireless communication module communicates with the cloud computing platform. The system has low front-end computational burden and low memory consumption. The function of remotely adjusting the sleep environment can be realized, and the advantages of cloud computing and big data processing can be fully exertedso that intelligent adjusting and setting of the comfortable sleep environment can be realized, a good sleep environment can be created and the system helps the human body to sleep better.

Description

technical field [0001] The invention relates to the field of remote control, in particular to a remote control system based on real-time sleep monitoring data. Background technique [0002] In the process of human sleep, in addition to the differences in the physiological state of the human body, the environment has a great impact on the quality of sleep. The temperature, humidity, light noise, acoustic noise, electromagnetic and air quality in the sleeping environment will all affect human sleep. Existing monitoring is mainly reflected in the single monitoring of human sleep status and environmental data, and only sends out an alarm signal when an abnormality is found. Users may need to manually change the sleeping environment, but at night, people often do not get up to perform these manual operations. Performing various operations may further affect the quality of sleep, resulting in inability to fall asleep for a long time. At the same time, for infants and young childr...

AI Technical Summary

Problems solved by technology

The existing monitoring is mainly reflected in the single monitoring of the human sleep state and environmental data, and only sends out an alarm signal when an abnormality is found. The user may need to manually change the sleeping environment, but at night, people often do not get up to perform these manual operations. Performing various operations may further affect the quality of sleep, resulting in inability to fall asleep for a long time

At the same time, for infants and young children, the elderly or patients with limited mobility, when the guardian is not with him, he cannot know their situation in real time, which brings a lot of inconvenience to the guardian

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