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Method for adaptively adjusting working state of Internet-of-Things smart home product and reducing noise interference based on deep sleep

An adaptive adjustment and smart home technology, applied in the direction of comprehensive factory control, comprehensive factory control, control/regulation system, etc., can solve the problems of no smart home products to reduce noise, and details are not handled well.

Inactive Publication Date: 2020-07-28
宋彦震
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current system of smart home system control is in its infancy, and many detailed issues have not been handled well.
For example: during sleep, there is no maximum noise reduction process for smart home products in the process of switching working states in the prior art

Method used

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  • Method for adaptively adjusting working state of Internet-of-Things smart home product and reducing noise interference based on deep sleep
  • Method for adaptively adjusting working state of Internet-of-Things smart home product and reducing noise interference based on deep sleep
  • Method for adaptively adjusting working state of Internet-of-Things smart home product and reducing noise interference based on deep sleep

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Experimental program
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no. 1 example

[0075] Such as figure 1 , figure 2 and image 3 , first of all, multiple noise sensors are embedded in the pillow. When the sleeper sleeps, the noise sensor detects the breathing sound of the sleeper in real time, and the main control unit processes the data collected by multiple noise sensors to obtain The sleeper's T breathing cycle, the maximum noise amplitude value when MAX1 is inhaling and the maximum noise amplitude value when MAX2 is exhaling.

[0076] In multiple respiratory cycles of the sleeper, it is obtained by subtracting the time point P1 corresponding to the maximum noise amplitude value of adjacent MAX1 when inhaling or subtracting the time point P2 corresponding to the maximum noise amplitude value of adjacent MAX2 when exhaling Sleeper's T breathing cycle.

[0077] In the T breathing cycle, set the time interval corresponding to the maximum noise amplitude value greater than 0.6 times MAX1 when inhaling, that is, V1-V2, as the best adjustment time for inh...

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Abstract

According to the invention, the breathing sound and exhaling sound generated by a sleeper during breathing-and exhaling are processed in real time through a noise sensor to obtain the breathing and exhaling cycle of the sleeper, the maximum noise amplitude value during inspiration and the maximum noise amplitude value during expiration. In a plurality of breathing and exhaling cycles of the sleeper, the time points corresponding to the maximum noise amplitude value during adjacent inspiration or the time points corresponding to the maximum noise amplitude value during adjacent expiration aresubtracted to obtain the breathing-exhaling cycle of the sleeper. In each breathing-exhaling cycle, a time interval corresponding to the maximum noise amplitude value greater than 0.6 time is set as the optimal adjustment time; the time length of multiple breathing and exhaling cycles of the sleeper and the optimal adjustment time are averaged so as to predict the starting time and the time length of the next breathing and exhaling cycle and the optimal adjustment time of the sleeper. The working state of the smart home product is adjusted within the optimal adjustment time period, so that the interference of excessive noise generated by the smart home product due to the change of the working state on a sleeper is reduced.

Description

technical field [0001] The invention relates to the technical field of smart home, in particular to a deep sleep-based method for adaptively adjusting the working status of smart home products in the Internet of Things and reducing noise interference. Background technique [0002] Sleep is divided into four stages. [0003] Stage 1: Falling asleep stage: Muscles relax into light sleep, breathing and heartbeat gradually slow down, and it is easy to be woken up. [0004] Stage 2: Light sleep stage: Breathing and heartbeat are slower than the previous stage, body temperature is slightly lower, and body movement is relatively active. [0005] Stage 3: Deep sleep stage: Breathing and heartbeat become slower than the previous stage, muscles relax, the body hardly moves, the brain is inactive, and there is no dream. It takes time to recover after being woken up at this stage. [0006] Non-eye movement / NREM stages include: falling asleep stage, light sleep stage and deep sleep sta...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B15/02G05B19/418
CPCG05B15/02G05B19/418G05B2219/2642Y02P90/02
Inventor 宋彦震宋彦国
Owner 宋彦震