照明工程学报2024，Vol.35Issue(4)：69-80,12.DOI:10.3969/j.issn.1004-440X.2024.04.010
开放办公空间智能遮阳百叶天然采光眩光预测模型建构研究
Research on the Construction of Glare Prediction Model for Daylighting with Intelligent Sunshade Louvers in Open Office Spaces
摘要
Abstract
In multi-window and multi-zone an open office spaces,it is challenging to regulate the glare caused by natural daylighting using intelligent sunshade louvers.It is necessary to coordinate the best visual comfort in different areas and also consider the combined influence effects under different sunshade forms of louvers.Benefiting from the wave of artificial intelligence technology,using machine learning algorithms to construct effective glare prediction models has become a powerful means to solve the glare regulation of intelligent sunshade louvers in open office spaces.Based on this,through relevant experiments,this study comprehensively compares the construction performance of glare prediction models of different machine learning algorithms and obtains the best machine learning algorithm to achieve the construction of an effective glare prediction model for natural daylighting with intelligent sunshade louvers in open office spaces.关键词
智能遮阳/眩光调控/眩光预测模型/机器学习Key words
smart shading/glare control/glare predictive model/machine learning分类
建筑与水利引用本文复制引用
骆肇阳,齐轩宁,董琪..开放办公空间智能遮阳百叶天然采光眩光预测模型建构研究[J].照明工程学报,2024,35(4):69-80,12.基金项目
国家自然科学基金青年项目(52008129) （52008129）
哈尔滨工业大学助理教授科研启动项目"基于机器学习的办公建筑室内天然采光智能调控研究"(AUGA5630109423) （AUGA5630109423）
中央高校基本科研任务费专项资助(HIT.DZJJ.2023083) （HIT.DZJJ.2023083）
