Spatial light environment AI adjusting system based on unsupervised learning technique

An unsupervised learning and adjustment system technology, applied in the field of spatial light environment AI adjustment system, can solve the problems of no adjustment of light environment parameters, limitations of site and experiment time, difficulty in repeated experiments, etc., to achieve highly adaptive light environment parameters, The effect of expanding the training sample size and improving the accuracy

Inactive Publication Date: 2018-10-30
TONGJI UNIV
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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 t

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  • Spatial light environment AI adjusting system based on unsupervised learning technique
  • Spatial light environment AI adjusting system based on unsupervised learning technique
  • Spatial light environment AI adjusting system based on unsupervised learning technique

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Embodiment Construction

[0041] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0042] Such as figure 1 As shown, this embodiment takes the elderly as the subjects to be tested, and provides an AI adjustment system for the elderly-friendly space light environment based on unsupervised learning technology. Automatically complete the experimental process, collect and analyze experimental data independently, improve model parameters, and effectively shorten the light environment experiment cycle. The system includes a parameter collection device 1, a behavior pattern collection device 2, an AI deep learning device 3, and a light environment adjustment device 4, whe...

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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...

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Application Information

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IPC IPC(8): G16H50/30G16H40/67G16H10/00G06N99/00H05B37/02
CPCG16H10/00G16H40/67G16H50/30H05B47/105Y02B20/40
Inventor 崔哲俞源杰施雯苑
Owner TONGJI UNIV
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