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ESTIMATION OF AUTOLOCK MODE ACCURACY OF ROBOTIC TOTAL STATIONS WITH VARIOUS CONFIGURATIONS REFLECTORS

Mikhail Vystrchil, Sergei Novozhenin

First published: 2017-06-20https://doi.org/10.5593/sgem2017/22/s09.035View metrics

Abstract

The paper presents the research results of the accuracy of robotic total stations automatic sighting using standard and panoramic пїЅ360пїЅ reflectors, which are used for geodesy and mining surveying purposes. Based on the statistical processing of laboratory and field observation data, the relationships between the automatic sighting precision and the various survey conditions were determined. The hypotheses for the correspondence of the statistical law of the obtained errors to the normal and uniform law are verified. The hypothesis of a normal distribution of automatic sighting errors using standard prisms has been verified. The relationship between the accuracy of automatic sighting on single prisms and their distance from the device is power-law. Research has shown that an error caused by the rotation of the пїЅ360пїЅ prism is added to the existing targeting errors. This error is random, unpredictable and inevitable. A power function connecting the distance of prisms from the instrument and cumulative errors of automatic sighting is obtained. The received error values significantly exceed the potential accuracy of the instrument and the operator's sighting errors. Researches of independent measurements using a circular prism have shown that the differential law of error distribution of sight has a very low kurtosis with practically zero asymmetry. The hypothesis of the correspondence between the distribution of errors due to the rotation of the prism and the uniform law is verified. Based on the obtained relationships, recommendations for carrying out measurements are formulated which increase their accuracy and reliability.

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Publication details

Title
ESTIMATION OF AUTOLOCK MODE ACCURACY OF ROBOTIC TOTAL STATIONS WITH VARIOUS CONFIGURATIONS REFLECTORS
Authors
Mikhail Vystrchil, Sergei Novozhenin
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
281-288
SWS Citekey
Vystrchil20179281288
ISSN
1314-2704
ISBN
978-619-7408-02-7
Language
en
Publication type
Conference Paper
Keywords
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