Experiment of Water Tank Model for Displacement Ventilation Using Image Processing
Experiment of Water Tank Model for Displacement Ventilation Using Image Processing
复制标题
基于图像处理的置换通风水箱模型实验
DOI：
10.3154/jvs.19.supplement2_107
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发表时间：
1999
期刊：
影响因子：
--
通讯作者：
K. Yamaguchi
中科院分区：
文献类型：
--
作者：
A. Kaga;A. Tani;Y. Inoue;Tomoyuki Abe;K. Yamaguchi
置换通风提供了更好的空气质量和更高的通风效率，并相对于传统的扩散通风降低了空调成本。置换通风受自然对流的影响，流场复杂，传统的流速、温度和示踪剂浓度测量方法难以准确评价置换通风的特性。对具有位移的几何相似比的室内水槽模型进行了温度和示踪剂浓度分布的实验研究通过应用图像处理技术进行通风。根据示踪剂浓度分布的时间变化，采用逐步下降法计算局部换气效率的分布。结果表明，PTV法用于速度测量和示踪剂浓度法用于局部换气效率计算是评价DV特性的有效方法，液晶测温法的动态范围应扩大。
Displacement Ventilation offers improved air quality and high ventilation effectiveness, and reduces air-conditioning costs relative to conventional Diffusion Ventilation. However, it is difficult for traditional techniques to measure flow velocity, temperature and tracer concentration to evaluate the characteristics of displacement ventilation since it is influenced by natural convection and has a complex flow field In this study, a series of experiments to measure flow velocity, temperature and tracer concentration distribution was performed for geometrically similar scale water tank model of room space equipped with displacement ventilation by applying image processing techniques. The distribution of local air exchange effectiveness was calculated from temporal change of tracer concentration distribution by the step-down method. It was confirmed that PTV for velocity measurement and tracer concentration measurement for local air exchange effectiveness calculation were useful to evaluate the characteristics of DV The dynamic range of liquid crystal thermometry should be expanded.