Optimisation of 3D point cloud model for asset navigation

An indoor asset is extremely important in building management and maintaining or increasing a building’s value. However, this indoor asset is hardly being tracked due to cumbersome methodology and techniques in the past. Hence, this study looked at the possibility of using a Terrestrial Laser Scanne...

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Main Author:	Heng, Joe Eu
Format:	Thesis
Language:	English
Published:	2022
Subjects:	G70.212-70.215 Geographic information system
Online Access:	http://eprints.utm.my/id/eprint/99915/1/HengJoeEuMFABU2022.pdf
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spelling	my-utm-ep.999152023-03-29T06:02:57Z Optimisation of 3D point cloud model for asset navigation 2022 Heng, Joe Eu G70.212-70.215 Geographic information system An indoor asset is extremely important in building management and maintaining or increasing a building’s value. However, this indoor asset is hardly being tracked due to cumbersome methodology and techniques in the past. Hence, this study looked at the possibility of using a Terrestrial Laser Scanner (TLS) to acquire the internal dimension of the building in addition to the indoor asset. Furthermore, this study aimed to investigate an optimised approach to acquiring point cloud data for asset navigation applications. The objectives of this study were to identify the optimal configuration required, investigate the effect of multi-resolution, and access the navigation application with points cloud data. After a thorough investigation of the subject - namely the two resolutions of 6.3mm and 12.5mm, TLS was used to acquire points cloud data. The points cloud was processed and reduced with the “remove redundant points” function to check the size of the file. In the end, the points cloud was exported in image format to the navigation application. The optimal resolution obtained to scan a small indoor asset was 6.3mm resolution, even though the time to acquire it doubled the amount of time acquired by 12.5mm resolution. The higher resolution is not recommended for acquiring data on-site as the total columns of points across 80mm is only 21columns with a 3m distance from equipment to target. As a result, it is recommended to use 6.3mm to acquire a small indoor asset no further than 6m in the distance from the equipment. The user feedback concluded that the importance of the indoor asset navigation application is based on the point cloud data, and most of them were pleased to see such an application which can develop to help them in building management and maintenance. In conclusion, this study shows that the navigation application with points cloud data can improve building management and maintenance performance. 2022 Thesis http://eprints.utm.my/id/eprint/99915/ http://eprints.utm.my/id/eprint/99915/1/HengJoeEuMFABU2022.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:150105 masters Universiti Teknologi Malaysia, Faculty of Built Environment & Surveying Faculty of Built Environment & Surveying
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	G70.212-70.215 Geographic information system
spellingShingle	G70.212-70.215 Geographic information system Heng, Joe Eu Optimisation of 3D point cloud model for asset navigation
description	An indoor asset is extremely important in building management and maintaining or increasing a building’s value. However, this indoor asset is hardly being tracked due to cumbersome methodology and techniques in the past. Hence, this study looked at the possibility of using a Terrestrial Laser Scanner (TLS) to acquire the internal dimension of the building in addition to the indoor asset. Furthermore, this study aimed to investigate an optimised approach to acquiring point cloud data for asset navigation applications. The objectives of this study were to identify the optimal configuration required, investigate the effect of multi-resolution, and access the navigation application with points cloud data. After a thorough investigation of the subject - namely the two resolutions of 6.3mm and 12.5mm, TLS was used to acquire points cloud data. The points cloud was processed and reduced with the “remove redundant points” function to check the size of the file. In the end, the points cloud was exported in image format to the navigation application. The optimal resolution obtained to scan a small indoor asset was 6.3mm resolution, even though the time to acquire it doubled the amount of time acquired by 12.5mm resolution. The higher resolution is not recommended for acquiring data on-site as the total columns of points across 80mm is only 21columns with a 3m distance from equipment to target. As a result, it is recommended to use 6.3mm to acquire a small indoor asset no further than 6m in the distance from the equipment. The user feedback concluded that the importance of the indoor asset navigation application is based on the point cloud data, and most of them were pleased to see such an application which can develop to help them in building management and maintenance. In conclusion, this study shows that the navigation application with points cloud data can improve building management and maintenance performance.
format	Thesis
qualification_level	Master's degree
author	Heng, Joe Eu
author_facet	Heng, Joe Eu
author_sort	Heng, Joe Eu
title	Optimisation of 3D point cloud model for asset navigation
title_short	Optimisation of 3D point cloud model for asset navigation
title_full	Optimisation of 3D point cloud model for asset navigation
title_fullStr	Optimisation of 3D point cloud model for asset navigation
title_full_unstemmed	Optimisation of 3D point cloud model for asset navigation
title_sort	optimisation of 3d point cloud model for asset navigation
granting_institution	Universiti Teknologi Malaysia, Faculty of Built Environment & Surveying
granting_department	Faculty of Built Environment & Surveying
publishDate	2022
url	http://eprints.utm.my/id/eprint/99915/1/HengJoeEuMFABU2022.pdf
_version_	1776100675486220288

Optimisation of 3D point cloud model for asset navigation

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