Effective Building Surveying Using Laser Scanning for Heritage Building Documentation

In conservation works, a thorough pathology survey is required to identify building defects. Early detection of defects can prevent the increase in cost during conservation works. Conventionally, common defects that occur in heritage buildings can be observed and recorded during a walk-by inspection...

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Bibliographic Details
Published in:INTERNATIONAL JOURNAL OF SUSTAINABLE CONSTRUCTION ENGINEERING AND TECHNOLOGY
Main Authors: Said, Shahrul Yani; Shahrin, Muhammad Shahir; Johari, Muhammad Naqiuddin; Abdullah, Ahmad Shahrim; Harun, Siti Norlizaiha; Abd Latif, Zulkiflee; Salleh, Nurul Hamiruddin; Wongso, Jonny
Format: Article
Language:English
Published: UNIV TUN HUSSEIN ONN MALAYSIA 2023
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Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001108645300015
Description
Summary:In conservation works, a thorough pathology survey is required to identify building defects. Early detection of defects can prevent the increase in cost during conservation works. Conventionally, common defects that occur in heritage buildings can be observed and recorded during a walk-by inspection; however, the process is often time consuming. Furthermore, all recorded defects require a precise but conventional data collection to identify, test, and observe the level of defects. This study aims to compare the effectiveness of manual walk-in building condition assessment with the point cloud data analysis that utilises the Light Detection and Ranging (LiDAR) technology. A building condition assessment was conducted involving the Ipoh Town Hall and Post Office, Galeri Kraftangan Seremban, and Bangunan Dato' Jaafar in Johor Bahru using both conventional walk-in survey and the laser scanning process. This study concludes that combining digital tools with the traditional methods promotes a more accurate and effective assessment for heritage building assessment, which is crucial for ensuring the sustainability of historic structures. Additionally, 3D point cloud data allows the exploration of building deterioration from a wider perspective.
ISSN:2180-3242
DOI:10.30880/ijscet.2023.14.05.008