Abstract
Abstract. With the rapid development in infrastructure, the need to document man-made structures is in increasing demand and inevitable. Such a process of digital documentation of buildings is called Building Information Modelling (BIM). Conventional techniques of BIM involve manual drafting & modelling using computer aided design, drafting & modelling software. Although these techniques are more accurate, given the increase in the size and complexity of modern structures, it would be tedious and time consuming for such manual work. It is in this context LiDAR shows great potential to simplify this task. Laser scanning enables rapid mapping of a building with a high degree of spatial accuracy. Since the spatial point sampling distance of any LiDAR scanner is usually in the order of centimetres or millimetres, this has potential not only to generate high density scans of the building but also to identify even the smallest defects in a structure. This facilitates using LiDAR to study the serviceability of a building. In this project, the feasibility of using a terrestrial laser scanner (TLS) to scan a multi-storey building was investigated. Additionally, the reliability of Potree for visualising point cloud data was tested. Potree is an open-source WebGL based point cloud renderer. Potree enables us to render point clouds and visualise in a portable web application. This application is also capable of making measurements of high accuracy on the 3D model of the library. This could serve to be of great utility in surveying applications. The object of study was chosen as a six-storey building, each floor having differing layouts. Two of these storeys were below ground surface level which also proved to be a test for the reliability of TLS in challenging terrain. The building has a towering height and large footprint which made it a perfect candidate for this project. A total of 54 scans (44 interior scans and 10 exterior scans of the library) were acquired with each subsequent scan station not more than 10m apart from the previous one. This data was brought to the lab for further processing. The processing was carried out using open-source software packages (LAStools, CloudCompare, etc). After processing, the complete point cloud data had 483,292,994 points. In order to make the data easier to handle, spatial sub-sampling of the data was done after which the final point cloud had 87,789,548 points. Finally, this sub-sampled point cloud was published using the open source Potree Converter into an interactive web application.
Highlights
IntroductionThe burgeoning of infrastructure has impacted the entirety of the globe
1.1 Building Information ModellingIn this modern era, the burgeoning of infrastructure has impacted the entirety of the globe
With such a rapid boom in infrastructure projects, it becomes increasingly important to document the schematics of these projects. This is especially important in developing nations like India, where the need for improved infrastructure often necessitates documentation of existing structures and facilities. In earlier days, such documents were prepared by means of manual drafting which was time consuming, tedious and prone to error
Summary
The burgeoning of infrastructure has impacted the entirety of the globe With such a rapid boom in infrastructure projects, it becomes increasingly important to document the schematics of these projects. This is especially important in developing nations like India, where the need for improved infrastructure often necessitates documentation of existing structures and facilities. With recent advancements in computer aided drafting, digital drafting and documentation of these buildings has greatly reduced the time consumption of this process In this regard, one of the newer approaches is to construct a complete information model of a structure, called a Building Information Model (BIM). With BIM technology, an accurate virtual model of a building can be digitally constructed (Azhar, 2011)
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