Software system for managing the network infrastructure of reference GNSS stations using cloud technologies

Nowadays, global navigation satellite systems are widely used to determine the location of various objects with an accuracy of meters. However, there are a number of industries that require high navigation accuracy, for example, for a satellite geodetic network, which is a coordinate-time basis. In...

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Bibliographic Details
Main Authors: M.M. Moldabekov, D.I. Yeryomin, D.G. Zhaxygulova, S. Trepashko, R.A. Kaliyeva
Format: Article
Language:English
Published: Al-Farabi Kazakh National University 2020-06-01
Series:Вестник КазНУ. Серия математика, механика, информатика
Subjects:
Online Access:https://bm.kaznu.kz/index.php/kaznu/article/view/764/563
Description
Summary:Nowadays, global navigation satellite systems are widely used to determine the location of various objects with an accuracy of meters. However, there are a number of industries that require high navigation accuracy, for example, for a satellite geodetic network, which is a coordinate-time basis. In order to improve the accuracy of navigation definitions, a differential mode of definitions is used. To implement the differential mode, the network infrastructure of GNSS reference stations and software, capable of both collecting, storing and displaying data, and calculating differential corrections, are required. In Kazakhstan, there is a system of reference GNSS stations that implements its functions on the equipment and software of Leica Geosystems AG, which, along with Trimble Navigation, occupy the main market share of satellite navigation equipment and related software. However, in order to ensure external independence in the field of high-precision navigation, the urgent task is to create a domestic system for managing the network infrastructure of GNSS reference stations, in particular, software development. In this regard, the present work is devoted to the development of specialized software for a system for managing the network infrastructure of reference GNSS stations using cloud technologies.
ISSN:1563-0277
2617-4871