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Geometry Extraction for High Resolution Building Energy Modelling Applications from Point Cloud Data: A Case Study of a Factory Facility

机译:点云数据高分辨率建筑能量建模应用的几何提取 - 以工厂设施为例

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The industrial sector accounts for 17% of end-use energy in the UK, and 54% globally. Therefore, there is substantial scope for simulating and assessing potential energy retrofit options for industrial buildings. Building Energy Modelling (BEM) applied to industrial buildings poses a complex but important opportunity for reducing global energy demand, due to years of renovation and expansion. Large and complex industrial buildings make modelling existing geometry for BEM difficult and time consuming. This paper presents a potential solution for quickly capturing and processing as-built geometry of a factory to be utilized in BEM. Laser scans were captured from the interior of an industrial facility to produce a Point Cloud. The existing capabilities of a Point Cloud processing software were assessed to identify the potential development opportunities to automate the conversion of Point Clouds to building geometry for BEM applications. In conclusion, scope exists for increasing the speed of 3D geometry creation of an existing industrial building for application in BEM and subsequent thermal simulation.
机译:工业部门占英国最终用途的17%,全球54%。因此,模拟和评估工业建筑的潜在能源改装选项存在实质性范围。建筑能源建模(BEM)适用于工业建筑的复杂,但由于多年的改造和扩张,降低了全球能源需求的复杂但重要的机会。大型和复杂的工业建筑使建模现有的几何形状进行BEM困难和耗时。本文提出了一种潜在的解决方案,可以在BEM中快速捕获和处理厂家的竣工几何形状。激光扫描被从工业设施的内部捕获以产生点云。评估点云处理软件的现有功能,以确定潜在的开发机会,以自动化点云转换为BEM应用的几何形状。总之,由于在BEM和随后的热仿真中增加了现有工业建筑的3D几何形状的速度,因此存在范围。

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