Posteriori optimization of accuracy and reliability of active geodetic monitoring network of the Dniester HPP
Journal Title: Геодезія, картографія і аерофотознімання - Year 2014, Vol 79, Issue 1
Abstract
Aim. To work out the methods for the a posteriori optimization of measurement results of active geodesic networks of monitoring with taking into account the parameter of accuracy and reliability. To verify experimentally its trustworthiness on the active precision geodesic network of monitoring the Dniester HPP. Methodology. Filtering the measurement results of active geodetic monitoring networks is alternate exclusion of vectors with maximum corrections, which are determined from successive iterations of network adjustment. After each iteration it’s determined the mean square error of unit weight and the parameter of network reliability. Sifting vectors with maximal errors leads to accuracy improving and reliability deterioration of network. That’s why we need to identify a group of vectors in which the correlation of the accuracy and reliability of the network is optimal. To determine the optimal quantity of vectors the entropic approach is used. Results. It is developed the technique of a posterior optimization of measurement results of active geodesic monitoring networks with taking into account the parameters of accuracy and reliability. The trustworthiness of the developed method while processing the results of daily measurements accomplished by automated monitoring system of the Dniester HPP was experimentally verified. Originality. It is proposed a new technique for a posterior optimization of measurement results of active geodesic monitoring networks with taking into account the parameters of accuracy and reliability. Using entropy approach the group of vectors in which the value of accuracy and reliability is optimal is defined. Practical significance. Using the developed method a posteriori optimization of active precision geodesic monitoring network of the Dniester HPP performed. The represented method can also be used for the optimization of any active geodesic monitoring networks with large number of redundant measurements.
Authors and Affiliations
K. R. Tretyak, J. v. Cranenbroeck, A. Yu. Balan, O. V. Lompas, I. SAVCHYN
Keywords
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