运动人因视角下体育馆光环境评价预测模型研究  

Research on the Prediction Model of Lighting Environment Assessment of Gymnasium Based on the Perspective of Exercisers'Ergonomics

作　　者：史立刚[1,2] 邱靖涵 李思盈 SHI Ligang;QIU Jinghan;LI Siying(HIT;School of Architecture and Design,HIT;Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology,Ministry of Industry and Information Technology)

机构地区：[1]哈尔滨工业大学建筑与设计学院 [2]寒地城乡人居环境科学与技术工业和信息化部重点实验室 [3]哈尔滨工业大学

出　　处：《世界建筑》2024年第7期94-100,共7页World Architecture

基　　金：国家自然科学基金,项目批准号:51878200。

摘　　要：体育馆光环境设计直接影响运动者的舒适水平。为探究运动者对天然光环境的舒适需求反馈,本文基于主观调查与客观生理测量的互证方法,确定运动者光环境评价影响因素,利用神经网络算法构建以运动人因健康为导向的体育馆光环境评价预测模型,并结合遗传算法优化迭代得出适宜全民健身的体育馆天然光环境视觉舒适亮度阈值。The design of the gymnasium lighting environment significantly impacts exercisers'comfort levels.To investigate exercisers'comfort requirements and responses to natural light environment,a combination of subjective surveys and objective physiological measurements was employed to identify factors influencing exercisers'assessment of the light environment.Furthermore,a prediction model for evaluating gymnasium lighting environment was constructed by neural network algorithms.Ultimately,the optimal range for visual comfort luminance thresholds in natural light environments suitable for national fitness activities was determined by genetic algorithms.

关 键 词：体育馆 天然光环境 视觉舒适 生理反馈 神经网络 

分 类 号：TU245.2[建筑科学—建筑设计及理论] TU113.66