Roca-Musach Marc, Crespo Cabillo Isabel, Coch Helena
Architecture, Energy and Environment Research Group (AiEM) - Universitat Politècnica de Catalunya, Spain.
Data Brief. 2024 Aug 2;56:110798. doi: 10.1016/j.dib.2024.110798. eCollection 2024 Oct.
This dataset presents 9596 photos of the East and West façades of a university building in Barcelona (Spain). Images were taken every hour for one year with two identical GoPro Hero 10 cameras. The façades are composed of a grid of 28×7 windows in the East and 28×6 windows in the West. Every window has a portion of fixed glass and an operable part for natural ventilation, and mobile solar protections (roller shutters) that users can control manually. These images are of special interest due to the lack of observation data on the user-building interaction with manually controlled adaptive façades. These data are a valuable source of information for interpreting and understanding the actual use of manually controlled adaptive façades, as well as developing usage models that could be implemented in energy simulations. Also, cropping all the windows from the full-façade photos result in 1.7 M images of individual windows, which can be easily used as a computer vision and machine learning exercise to read the position of the solar protections or the operable part of the windows.
该数据集展示了西班牙巴塞罗那一座大学建筑东、西立面的9596张照片。使用两台相同的GoPro Hero 10相机，每隔一小时拍摄一次，持续一年。东立面由28×7的窗户网格组成，西立面由28×6的窗户网格组成。每个窗户都有一部分固定玻璃和一个用于自然通风的可操作部分，以及用户可以手动控制的活动遮阳设施（卷帘）。由于缺乏关于用户与手动控制的自适应立面之间互动的观测数据，这些图像具有特殊意义。这些数据是解释和理解手动控制的自适应立面实际使用情况的宝贵信息来源，也是开发可用于能源模拟的使用模型的重要依据。此外，从全立面照片中裁剪出所有窗户，可得到170万张单个窗户的图像，这些图像可轻松用于计算机视觉和机器学习练习，以读取遮阳设施或窗户可操作部分的位置。
