Lighting control system and light regulation mapping device based on sleep efficiency factor

A lighting control system and efficiency technology, applied in lighting devices, energy-saving control technology, light sources, etc., can solve problems such as pertinence and limited effectiveness

Active Publication Date: 2019-08-09
中国计量大学上虞高等研究院有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Although there are currently various solutions to detect sleep, or to help users fall asleep by switching the lighting to a soft yellow light; however, for different specific users, even in the same light environment, their sleep efficiency will be very different. In the past, one or a limited number of lighting schemes with low color temperature and low illumination were simply provided at night, and the pertinence and effectiveness would be very limited.

Method used

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  • Lighting control system and light regulation mapping device based on sleep efficiency factor
  • Lighting control system and light regulation mapping device based on sleep efficiency factor
  • Lighting control system and light regulation mapping device based on sleep efficiency factor

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Experimental program
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Effect test

Embodiment 1

[0133] The human biological clock is the physiological and biochemical processes, morphological structures, and behaviors that change periodically in the human body with time. There are many kinds of biological clocks in the human body, and various physiological indicators of the human body, such as pulse, body temperature, blood pressure, physical strength, emotion, intelligence, etc., will change periodically with the change of day and night.

[0134] Such as figure 1As shown, at 2 o'clock in the morning, people's sleep reaches the maximum depth, at 4:30 in the morning, body temperature reaches the lowest, blood pressure rises fastest at 6:45 in the morning, and the secretion of melatonin at 7:30 in the morning Stop, at 8:30 in the morning, intestinal peristalsis occurs frequently, at 9:00 the secretion of testosterone reaches the highest, at 10:00 in the morning is the most clear-headed moment for people, and at 14:30 in the afternoon, people's limb activities match to In ...

Embodiment 2

[0261] Different from Embodiment 1, this embodiment increases the duration parameter of falling asleep in the input amount of the Elman neural network, and the falling asleep sign parameter in its training samples is obtained as follows:

[0262] Continuously detect the user's eye opening, and when it is found that the eye opening value is continuously less than (1-Δ%) times the eye opening value in the initial stage of falling asleep within a set period of time, the current time is used as the timing zero point of the duration of falling asleep , while discarding the sample records before the zero point, the Δ can be an integer between 5 and 10.

[0263] The rate of change of the user's eye opening k eo , the rate of change of eye-closed duration k ec , heart rate change rate k h , Body motion frequency change rate k b , body temperature change rate k p These five physical sign parameters are all calculated by moving average filtering, for example, for the rate of change ...

Embodiment 3

[0269] Different from Embodiment 1, in this embodiment, the system also includes a ready-to-sleep button. When the user is ready to fall asleep, press this button,

[0270] Define a sleep transition time t sl It is the length of time from when the button is pressed to when the eyes are continuously closed for more than 1 minute,

[0271] Add a falling asleep transition duration parameter in the output of the Elman neural network, and correspondingly increase a falling asleep transition duration evaluation value f in the light environment evaluation function 6 ,

[0272]

[0273] in,

[0274] In the formula, t slT1 and t slT2 are the thresholds of the two sleep transition times, respectively.

[0275] f 6 for t slT1 is the score function of the semi-trapezoidal distribution of the endpoint, and the lower the evaluation value is when the transition time of falling asleep is longer.

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Abstract

The invention discloses a lighting control system and a light regulation mapping device based on a sleep efficiency factor. The system comprises a light color identification unit, a sleep identification unit, a light adjustable lamp set, a light regulation mapping unit and a control unit. The control unit takes light color parameters such as the illumination, the color temperature and the color ofthe reading surface illumination as input quantities, and takes physical parameters such as the eye opening change rate, the eye closing duration change rate, the heart rate change rate, the body movement frequency change rate and the body temperature change rate as output quantities to establish a dynamic recursive Elman neural network to represent the mapping relation between the environmentalillumination and the sleeping efficiency of the user; the trained network is used for predicting the sleep efficiency parameters in the field light environment, the predicted values are used for calculating the sleep efficiency evaluation value of the light color conditions in the process of optimizing the light color parameters based on the multi-objective optimization algorithm, and the optimization result is converted into the driving current value of the lamp set by the light regulation mapping unit, so that the lighting beneficial to the user to fall asleep in different environments is achieved.

Description

technical field [0001] The invention relates to the field of intelligent lighting and sleep assistance, in particular to a lighting control system and a dimming mapping device based on sleep efficiency factors. Background technique [0002] The human biological clock is the physiological and biochemical process, morphological structure and behavior that change periodically in the human body with time. The biological clock in the human body is reflected in the periodic changes of various physiological indicators of the human body such as pulse, body temperature, blood pressure, physical strength, emotion, and intelligence. Take the 24-hour biological clock of the human body as an example. At 2 o'clock in the morning, people's sleep reaches the maximum depth. When people are most clear-headed, at 17:00 in the afternoon, the efficiency of the cardiovascular work of the human body is the highest, and the muscle strength is the greatest. , At 21 o'clock in the evening, the secr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H05B33/08H05B44/00
CPCH05B47/11H05B45/20H05B45/10H05B45/325Y02B20/40
Inventor 邹细勇胡晓静徐伟夏浩陈亮
Owner 中国计量大学上虞高等研究院有限公司
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