Spatial light environment AI adjusting system based on unsupervised learning technique

Abstract

The invention relates to a spatial light environment AI adjusting system based on an unsupervised learning technique. The spatial light environment AI adjusting system comprises a parameter collectiondevice, a behavior pattern collection device, an AI deep learning device and a light environment adjusting device, wherein the parameter collection device is used for acquiring physiological and psychological parameters of tested people in real time; the behavior pattern collection device is used for detecting the position and action of the tested people, realizing spatial positioning and acquiring a behavior pattern of the tested people; the AI deep learning device is connected with the parameter collection device and the behavior pattern collection device respectively through an informationtransmission and conversion device, is provided with a health light environment parameter model and is used for acquiring a real-time light environment parameter value according to the physiologicaland psychological parameters and behavior pattern of the tested people; and the light environment adjusting device is used for adjusting the spatial light environment according to the light environment parameter value acquired by the AI deep learning device. Compared with the prior art, the spatial light environment AI adjusting system has the advantages that the high self-adaption and autonomouscompletion of light environment parameters can be realized, the experimental period can be effectively shortened, the optimal light environment parameter can be rapidly acquired, and the like.

Description

technical field [0001] The invention relates to a space light environment adjustment system for the elderly, in particular to an AI space light environment adjustment system based on unsupervised learning technology. Background technique [0002] my country is facing a serious problem of social aging. The United Nations population data forecast shows that my country will become the country with the highest aging rate in the world around 2030. Due to degenerative changes in bodily functions, older adults spend most of their time indoors. The researchers found that the weight of light environment on the mental health of the elderly is greater than that of thermal environment and space. Therefore, it is of great practical and social significance to explore and study the correlation between the physical and mental health of the elderly and the indoor light environment. At present, most of the relevant research on the light environment of the elderly focuses on the correlation...

AI Technical Summary

Problems solved by technology

[0010] The above-mentioned experiments have a long period of experimentation, and no adjustments have been made to the light environment parameters, so it is impossible to obtain the influence of other light environment parameter values ​​on the experimental results

The place and time of the experiment are limited, and it is difficult to repeat the experiment

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