Hidden Point Bar Method for High-Precision Industrial Surveys
Publication: Journal of Surveying Engineering
Volume 131, Issue 4
Abstract
Precise three-dimensional positioning by the hidden point bar method is investigated. The investigation includes development of both closed form and least squares solutions, as well as calibration of the hidden point bar. The method is applied in the field at the University of Calgary Central Heating and Cooling Plant. In this application, known movements are introduced and then recovered using the hidden point bar method. The differences between known and recovered movements are or less. Special advantages of the hidden point bar method are that the target point does not have to be visible from the measurement instrument and the bar placed on the target can be set at any convenient orientation.
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Acknowledgments
The writers would like to thank Henry Inglebart, Chief Operating Engineer, University of Calgary Central Heating and Cooling Plant, for arranging access to the plant, and Rob Radovanovic and Dan Adler for assistance in testing the hidden point bar method. Research funding provided by the National Sciences Engineering Research Council of Canada is gratefully acknowledged.
References
Clapham, C. (1990). The concise Oxford dictionary of mathematics, Oxford University, Oxford, U.K.
Radovanovic, R. S., and Teskey, W. F. (2003). “A novel method of high-precision height determination for industrial applications.” Proc., 11th Int. FIG Symp. on Deformation Measurement, International Federation of Surveyors, Frederiksberg, Denmark.
Sebert, L. M. (1996). “Resections revisited.” Geomatica, 50(3), 310–311.
Teskey, W. F. (1998). “Instrumentation and methodologies for high-precision industrial surveys.” Retrospective and commemorative collection of papers in honour of Dr. Adam Chrzanowski, Dept. of Geodesy and Geomatics Engineering, University of New Brunswick, Fredericton, Canada.
Teskey, W. F., Fox, R. J., and Adler, D. H. (2004). “Hidden point bar method for precise heighting.” J. Surv. Eng., 130(4), 179–182.
Wolf, P. R., and Ghilani, C. D. (1997). Adjustment computations, statistics, and least squares in surveying and GIS, Wiley, New York.
Information & Authors
Information
Published In
Journal of Surveying Engineering
Volume 131 • Issue 4 • November 2005
Pages: 103 - 106
Copyright
© 2005 ASCE.
History
Received: Aug 9, 2004
Accepted: Dec 29, 2004
Published online: Nov 1, 2005
Published in print: Nov 2005
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