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能源改造点 (PointER):一个点云数据集,包含一百万个与能源特征相关的建筑物
Sebastian Krapf1, Kevin Mayer2, Martin Fischer3
1Institute of Automotive Technology, Department of Mechanical Engineering, TUM School of Engineering and Design, Technical University of Munich, Boltzmannstr. 15, 85748, Garching b. München, Germany. sebastian.krapf@tum.de.
Scientific data
|September 21, 2023
概括
这项研究引入了一个新的建筑点云数据集,用于大规模的能源性能评估. 它使得基于数据的建筑能源特征分析成为可能,这对于减缓气候变化至关重要.
科学领域:
- 地理空间科学 地理空间科学
- 建筑科学 建筑科学
- 环境科学 环境科学
背景情况:
- 为了应对气候变化,欧洲低效的建筑需要快速翻新.
- 目前的建筑能源评估是缓慢,昂贵和局部化的现场考察.
- 需要可扩展的,数据驱动的方法来评估建筑物的能源性能.
研究的目的:
- 为大规模3D建筑分析提供全面的建筑点云数据集.
- 为了加强研究,将建筑几何与能源性能数据联系起来.
- 提供开源工具,用于在新地区生成构建点云.
主要方法:
- 通过与地理引用的LiDAR数据交叉建筑足迹来生成建筑点云.
- 将点云数据与英国的能源性能数据库联系起来,使用唯一属性参考号码 (UPRN).
- 策划一百万个建筑物的数据集,其中50万与能源特征相关,来自英国不同地区.
主要成果:
- 创建了一个新的,大规模的建筑点云数据集,代表了英国各式各样的建筑库.
- 该数据集成功地将3D建筑表示与关键的能源性能属性联系起来.
- 公布了开源代码,使得新地理区域可以生成构建点云.
结论:
- 开发的数据集有助于在建筑能源建模和气候变化减缓方面进行数据驱动的研究.
- 该方法允许通过整合UPRN或地理位置数据来扩展建筑特征分析.
- 这种方法支持用于政策和研究的可扩展和高效的建筑能源性能评估.
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