应申, 唐茉, 张馨月, 胡振宇, 郭晗. 三维城市的玻璃幕墙光污染分析[J]. 武汉大学学报 ( 信息科学版), 2021, 46(5): 610-619. DOI: 10.13203/j.whugis20200492
引用本文: 应申, 唐茉, 张馨月, 胡振宇, 郭晗. 三维城市的玻璃幕墙光污染分析[J]. 武汉大学学报 ( 信息科学版), 2021, 46(5): 610-619. DOI: 10.13203/j.whugis20200492
YING Shen, TANG Mo, ZHANG Xinyue, HU Zhenyu, GUO Han. Sunlight Pollution Analysis of Glass Curtain Wall in 3D City[J]. Geomatics and Information Science of Wuhan University, 2021, 46(5): 610-619. DOI: 10.13203/j.whugis20200492
Citation: YING Shen, TANG Mo, ZHANG Xinyue, HU Zhenyu, GUO Han. Sunlight Pollution Analysis of Glass Curtain Wall in 3D City[J]. Geomatics and Information Science of Wuhan University, 2021, 46(5): 610-619. DOI: 10.13203/j.whugis20200492

三维城市的玻璃幕墙光污染分析

Sunlight Pollution Analysis of Glass Curtain Wall in 3D City

  • 摘要: 城市环境中由建筑玻璃幕墙引起的光污染给城市的道路交通安全、消防安全、居民健康带来了巨大的威胁。当前对于玻璃幕墙的光污染研究主要是针对具体建筑采用模拟或实测的方法在局部小范围内进行计算。面向城市环境,从真实街景中构建道路、玻璃幕墙立面和太阳光线之间的三维空间关系,利用基于深度学习的识别方法提取玻璃幕墙,采用眩光评价方式在汽车驾驶者的视角上建立三维城市的玻璃幕墙光污染模型。以中国广东省深圳市福田区为例,对三维城市的玻璃幕墙光污染进行定点、定路线和区域的多层次分析,实现即时即地的光污染计算、评估和路径选择,为驾驶者的行车安全、建筑物的规划管理提供参考依据。

     

    Abstract:
      Objectives  Sunlight pollution caused by glass curtain walls of buildings in urban environment has brought great threats to traffic safety, fire control and residents?? health. At present, most researches on architecture sunlight pollution traditionally focus a local small range at specific construction based on simula-tion or measurement methods. We keep the way of three-dimensional (3D) computation, dissimilarly inte-grates geographic resources to expand the perception range of city sunlight pollution brought by building glasses.
      Methods  The calculation technique of sunlight pollution builds 3D spatial relationship among road, building facade and sunlight in real urban environment, using deep-learning image segmentation to extract glass curtain walls. Then, combined with glare evaluation model, we develop an innovative sunlight pollu-tion model from perspective of drivers to evaluate the suitability for people.
      Results  Taking Shenzhen Fu-tian Center as an example, the multi-level analyses of sunlight pollution are implemented by means of calcu-lation under real time and real location, and path selection based on evaluation. Through these instances, the time sequence regularity, the spatial distribution characteristics and the path estimation of architecture sunlight pollution are revealed.
      Conclusions  The analyses retain space computation mode with innova-tions, fully utilize street view resources, and provide people the macroscopic concept, which indicates rela-tive strength of building sunlight pollution. Additionally, the method ensures instantaneity of urban sunlight pollution acquisition and computation, to a certain extent covers shortages of current researches, and is fur-ther capable of reference evaluation in environment protection, accurate warnings and predictions of glare intensity for pedestrians and drivers.

     

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