组件级住宅建筑材料库存表征使用计算机视觉技术
Menglin Dai1, Jakub Jurczyk2, Hadi Arbabi2
1College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
Environmental science & technology
|February 9, 2024
概括
本研究介绍了一种有效的方法,用于在英国使用街景图像进行住宅建筑材料的会计. 该方法准确地估计了物质质量,支持循环经济目标.
科学领域:
- 建筑环境分析分析
- 可持续材料科学科学 可持续材料科学
- 地理空间数据科学数据科学
背景情况:
- 住宅建筑材料库存是建筑环境的重要组成部分.
- 以前的研究集中在建筑物质量的空间分析上,忽视了组件级的库存,需要昂贵的调查.
- 对建筑材料的准确表征对于资源管理和循环经济倡议至关重要.
研究的目的:
- 开发一种高效的组件级方法,用于英国的住宅建筑材料库存会计.
- 为了利用驱动路径街景图像和建筑足迹数据进行材料质量估计.
- 为评估材料再利用潜力和支持循环经济目标提供基础.
主要方法:
- 开发了一种用于组件级住宅建筑库存会计的新方法.
- 采用了车间路况图像和建筑足迹数据.
- 使用自动提取的物理尺寸和预测的材料类型来计算,石头,砂和玻璃的质量.
主要成果:
- 对于砂的误差率为5%,玻璃为22%,为8%,石材质量估计为7%.
- 与传统方法相比,证明了提高效率和准确性.
- 已知墙壁类型的验证结果,突出了该方法的可靠性.
结论:
- 开发的方法在建筑材料库存表征方面取得了重大进展.
- 该方法提高了管理各种建筑结构的效率和准确性.
- 该方法提供了评估组件级重复使用材料的基础,与循环经济原则保持一致.
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