In response to the simplistic circadian regulation mode and insufficient personalized matching in current intelligent healthy lighting systems, the work aims to develop a personalized adaptation scheme that translates user circadian characteristics into precise light environment interventions, thereby enhancing the health benefits of home lighting environments. Based on the correlation mechanism between photobiological effects and circadian rhythms, the core parameters of circadian light effects were systematically sorted out. Multi-source data were integrated, and four types of user circadian profiles were constructed through K-means clustering. A three-layer design strategy of "state perception-strategy formulation-light effect execution" was proposed, forming a differentiated light recipe mapping logic. Finally, parametric simulation and three-dimensional visualization analysis of a typical bedroom scene were conducted using Dialux evo software, and comparative verification was performed to assess the differences in lighting environment needs among different circadian groups as well as the adaptation capability of the proposed strategy. Simulation comparisons demonstrated that under the scenarios of morning awakening, daytime activity, and nighttime rest, key parameters such as core illuminance and correlated color temperature showed significant differences among different profiles and the strategy could effectively achieve dynamic matching between the light environment and user circadian characteristics. This study has developed an integrated personalized circadian light effect adaptation strategy that combines the photobiological theory with user profiles, and its differential adaptation capability for various circadian groups has been verified through digital simulation. The research provides a systematic design methodology and theoretical reference for the personalized development of intelligent healthy lighting products.
Key words
healthy lighting /
intelligent lighting fixtures /
circadian light effects /
user profile /
personalized adaptation
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References
[1] BERSON D M.Phototransduction by Retinal Ganglion Cells That Set the Circadian Clock[J]. Science, 2002 (295): 1070-1073.
[2] 中国照明电器协会. 2023中国健康照明产业发展报告[R]. 北京: 中国照明电器协会, 2023.
China Association of Lighting Industry (CALI). 2023 China Healthy Lighting Industry Development Report[R]. Beijing: China Association of Lighting Industry (CALI), 2023.
[3] 张昕, 韩晓伟, 陈雪. 基于光生物效应的智能照明系统研究现状与展望[J]. 建筑科学, 2022, 38(8): 150-157.
ZHANG X, HAN X W, CHEN X.Research Status and Prospects of Intelligent Lighting Systems Based on Photobiological Effects[J]. Building Science, 2022, 38(8): 150-157.
[4] CIE. CIE TN 003:2018, Report on the Assessment of Light Sources for Non-Visual Effects[S]. Vienna: Commission Internationale de l'Éclairage, 2018.
[5] 上海企一实业有限公司. KEEY iS智能节律照明系统技术白皮书[R]. 2025.
Shanghai Qiyi Industry Co., Ltd. KEEY iS Intelligent Circadian Lighting System Technical White Paper[R]. 2025.
[6] LLENAS A, HURLBERT A, LAM F, et al.Testing the Use of Spectrally Tunable Lighting Systems to Improve Comfort, Alertness and Sleep Quality in Indoor Working Environments[C]//Proceedings of the 29th CIE SESSION, Vienna: CIE, 2019: 830-837.
[7] PAPATSIMPA C, LINNARTZ J-P.Personalized Office Lighting for Circadian Health and Improved Sleep[J]. Sensors, 2020, 20(16): 4569.
[8] GALABOV B, IVANOV Z.Adapted Lighting Control Model for Human Centric Lighting[C]//2019 11th Electrical Engineering Faculty Conference (BulEF), Sofia: IEEE, 2019: 1-6.
[9] 孟昭娜. 基于STS理论的智能家居照明系统设计及应用策略研究[J]. 包装工程, 2025(7): 481-490.
MENG Z N.Design and Application Strategy of Smart Home Lighting Systems Based on STS Theory[J]. Packaging Engineering, 2025, 46(7): 481-490.
[10] 郝洛西, 曹亦潇. 面向人居健康的光环境循证研究与设计实践[J]. 时代建筑, 2020(5): 22-27.
HAO L X, CAO Y X.Evidence-Based Research and Design Practice of Light Environments for Human Settlement Health[J]. Time + Architecture, 2020, 31(5): 22-27.
[11] GOLOMBEK D A, ROSENSTEIN R E.Physiology of Circadian Entrainment[J]. Physiological Reviews, 2010, 90(3): 1063-1102.
[12] BROWN T M, BRAINARD G C, CAJOCHEN C, et al.Recommendations for Daytime,Evening, and Nighttime Indoor Light Exposure to Best Support Physiology, Sleep, and Wakefulness in Healthy Adults[J]. PLoS Biology, 2022, 20(3): e3001571.
[13] LUCAS R J. How Rod, Cone, and Melanopsin Photoreceptors Come Together to Enlighten the Mammalian Circadian Clock[J]. Progress in Brain Research, 2022, 273(1): 1-31.
[14] 中国睡眠研究会, 华为运动健康. 2025 中国睡眠健康研究白皮书[R]. 2025.
Chinese Sleep Research Society, Huawei Sports Health.2025 China Sleep Health Research White Paper[R]. 2025-03-24.
[15] 中国睡眠研究会. 2025年中国睡眠健康调查报告[R]. 2025.
Chinese Sleep Research Society (CSRS). 2025 China Sleep Health Survey Report[R]. 2025.
[16] 张安慧, 余敏, 徐玉祥, 等. 卧室夜间光暴露与大学生客观睡眠参数的关联[J]. 中国学校卫生, 2025, 46(8): 1098-1101.
ZHANG A H, YU M, XU Y X, et al.Association between Nighttime Light Exposure in Bedrooms and Objective Sleep Parameters of College Students[J]. Chinese Journal of School Health, 2025, 46(8): 1098-1101.
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