A Comparison Analysis into Flange Survey Techniques

Lee, Greg (2019) A Comparison Analysis into Flange Survey Techniques. [USQ Project]

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The surveying industry is a rising at a rapid rate through advancements in technology. Other specific industries such as industrial metrology which were once segregated from surveying are now closely aligned through the form of measurement. The oil and gas industry provides an avenue for both to co-exist given the specifications and tolerances required to undertake highly accurate surveys. Flange surveys require a specialised form of measurement given the intent of the survey is predominantly for design and reverse engineering applications. Current techniques are not familiar in the surveying industry nor the accuracies that can be achieved.

In this study, a Leica AT402 laser tracker is used as a baseline reading to survey two existing flanges and a spool fabrication joining them. Two conventional survey methods will then be surveyed with the results then analysed and compared. The two conventional survey methods will be based on a Leica TS15 total station and a Leica HDS7000 laser scanner. The results will be based on three main components for calculation – Flange centreline coordinates, plane inclination and bolt hole rotation.

The datasets found that the total station performed better than expected with accurate and consistent results compared to the laser scanner readings and ultimately the baseline readings of the laser tracker. The flange centreline coordinate errors for the total station were submillimetre reading 0.69mm and 0.75mm respectively. The plane inclination and bolt hole rotation results were also similar if not more accurate. The laser scanner results varied between 1mm and 3mm with inconsistent results achieved due to a couple of factors mainly contributed to the manipulation of the point cloud when cleaning and trimming. The laser scanner results provide room for further research to investigate more advanced techniques when working with point clouds.

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Item Type: USQ Project
Item Status: Live Archive
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 - 31 Dec 2021)
Supervisors: Simmons, Shane
Qualification: Bachelor of Spatial Science (Honours) (Surveying)
Date Deposited: 16 Aug 2021 04:01
Last Modified: 26 Jun 2023 22:44
URI: https://sear.unisq.edu.au/id/eprint/43119

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