基于HDR图像的高校教室侧窗采光亮度研究OA
Study on the assessment of daylighting luminance of side windows in college classrooms based on HDR images
建筑天然采光亮度研究是拓展建筑采光评价指标应用、实现建筑采光设计可持续发展的有效途径.文章基于高动态范围(high dynamic range,HDR)图像技术,构建含亮度、亮度比(luminance ratio,LR)和不舒适眩光概率(daylight glare probability,DGP)等指标的多维评价体系,系统量化分析不同时刻、位点及视觉任务下的亮度特征,并结合采光模拟探讨教室采光的优化策略.结果表明:14:00 窗口亮度峰值为1 351 cd/m2、亮度比为165.22,易引发眩光风险;视觉任务由工作面切换为黑板面时,近窗侧亮度比超临界值导致视觉不适,优化模拟表明,采用透光率 0.4~0.5 的玻璃或 0.6~0.8 m的遮阳板可降低DGP,有效采光度大于或等于 10.73%,验证了高动态范围图像技术结合模拟分析方法在采光优化中的有效性.
Investigating the luminance of natural daylight in buildings constitutes an effective pathway for expanding the application of daylighting performance metrics and for achieving sustainable development in architectural daylighting design.This research employs high dynamic range(HDR)imaging technology to construct a multidimensional evaluation framework incorporating luminance,luminance ratio(LR),and daylight glare probability(DGP).This framework systematically quantifies luminance characteristics across time,spatial positions,and visual tasks,and combines daylighting simulations to explore optimization strategies for classroom daylighting.The results indicate that peak window luminance 1351 cd/m2 and luminance ratio is 165.22 at 14:00 heighten glare risks.Visual task switching from workplace to blackboard triggers window-side luminance ratios exceeding the critical threshold,causing visual discomfort.Simulation-based optimizations demonstrate that using glass with transmittance 0.4-0.5 or 0.6-0.8 m external shading can reduce DGP and increasing effective daylight availability to at least 10.73%,validating the effectiveness of this HDR-based multidimensional evaluation system combined with simulation analysis for optimizing luminous environments.
刘琦;钟凯洁
山东建筑大学 建筑城规学院,山东 济南 250101山东建筑大学 建筑城规学院,山东 济南 250101
建筑与水利
天然采光采光测量高动态范围图像亮度分析
daylightingdaylight measurementhigh dynamic range imageluminance analysis
《山东建筑大学学报》 2026 (1)
65-74,10
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