Preliminary analyses of the accuracy of a control network using the notion of modular networks

Tadeusz Gargula , Pelagia Gawronek


The preliminary analysis of network accuracy is the basis for assessing the correctness of network design. The next step should be to modify the structure of the network or adjust the a priori presupposed measurement accuracy. Such an analysis facilitates determining the target network accuracy model for results of adjustment of the observational set. A control network established to determine the displacement of civil engineering objects should be structurally sufficiently accurate, reliable, and flexible. These criteria can be met if the modular network technology is used. This paper reports a study that involved a comparative analysis of this measurement method (modular networks) and several variants of classic measurement methods (using a total station). Other indices of the technical quality of a geodetic network (determinability, reliability) were also considered. An attempt was made to develop a methodology for determining as realistic as possible values of mean observational errors as well. A procedure for estimating mean errors of observations is presented. The conclusions may help design control networks for investigating the stability of civil engineering objects, for example.
Author Tadeusz Gargula (FoEEaLS / DoG)
Tadeusz Gargula,,
- Department of Geodesy
, Pelagia Gawronek (FoEEaLS / DoG)
Pelagia Gawronek,,
- Department of Geodesy
Publication size in sheets0.5
Book 19th International Multidisciplinary Scientific GeoConference SGEM2019 : Conference proceedings, vol. 19 : Informatics, Geoinformatics and Remote Sensing, Issue 2.2 : Geodesy and Mine Surveying, Photogrammetry and Remote Sensing, Cartography and GIS, International Multidisciplinary Scientific GeoConference & EXPO SGEM, vol. 19, no. 2.2, 2019, STEF92 Technology, ISBN 978-619-7408-80-5, 1086 p., DOI:10.5593/sgem2019/2.2
Keywords in EnglishPreliminary analysis of network; Modular network; Control network design
Languageen angielski
Score (nominal)5
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WoSnieindeksowane (5.09.2019)
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