Dimensioning Method of Floating Offshore Objects by Means of Quasi-Similarity Transformation with Reduced Tolerance Errors

Sensors
Grzegorz StępieńTomasz Ziębka

Abstract

The human activities in the offshore oil and gas, renewable energy and construction industry require reliable data acquired by different types of hydrographic sensors: DGNSS (Differential Global Navigation Satellite System) positioning, attitude sensors, multibeam sonars, lidars or total stations installed on the offshore vessel, drones or platforms. Each component or sensor that produces information, unique to its position, will have a point that is considered as the reference point of that sensor. The accurate measurement of the offsets is vital to establish the mathematical relation between sensor and vessel common reference point in order to achieve sufficient accuracy of the survey data. If possible, the vessel will be put on a hard stand so that it can be very accurately measured using the standard land survey technique. However, due to the complex environment and sensors being mobilized when the vessel is in service, this may not be possible, and the offsets will have to be measured in sea dynamic conditions by means of a total station from a floating platform. This article presents the method of transformation by similarity with elements of affine transformation, called Q-ST (Quasi-Similarity Transformation). The Q-ST h...Continue Reading

References

Nov 1, 2006·Psychological Bulletin·Markus Graf

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Citations

Apr 4, 2021·Sensors·Leszek ChybowskiMaciej Kozak

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Methods Mentioned

BETA
PCA

Software Mentioned

Spatial Analyzer ( SA )
Leica )
Dimensional
Geonet Dimensional Control
SC4W
Mathcad Professional
ST
Geonet
Geonet DC
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