Author ORCID Identifier

https://orcid.org/0009-0005-0605-1399

Document Type

Theses, Masters

Disciplines

Architecture engineering, Construction engineering, Municipal and structural engineering

Abstract

Many governments agencies and private owners are demanding up-to-date information related to the current conditions of their facilities. Conventional QA is time-consuming and inefficient; thus, 3D terrestrial laser scanning (TLS) technology has been adopted due to the fast speed and high accuracy in acquiring data. Automated QA analysis can reduce the labour and time needed, reduce the costs, and improve the overall project efficiency. However, very few research efforts have been made to study the benefits of the automated QA analysis in a quantitative way. The process of the TLS-based geometric QA based in an automated data analysis process is described and the data is collected from a case study. It is analysed the performance between the approach with the verity software using a RCP file and the approach with the verity software using a LGS file. The results show for QA time that TLS based QA automated analysis approach with verity software using a LGS file is slightly more efficient ( is 1.464 m2/h) than using verity software using a RCP file is 1.398 m2/h). For QA cost, the results show that TLS based QA automated analysis using TLS approach with verity software using a RCP file and LGS file tended to have the same cost efficiency . With the increase of GFA values the is higher on the purchase than the rental of TLS equipment. Variations of the cost of QA automated analysis are affected by the fluctuation of the labour cost, equipment cost and software cost. New costs can easily input into the proposed model developed in this study for further analysis

DOI

https://doi.org/10.21427/7R6V-3N60

Creative Commons License

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.


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