Signal monitoring system using the UPTC Satellite Ground Station
DOI:
https://doi.org/10.17981/ingecuc.15.1.2019.04Keywords:
ETS-UPTC Satellite Earth Station, weather station, remote monitoring of signals on earth, sensor node, percentage of use, meteorological variablesAbstract
Introduction: The Satellite Earth Station, corresponds to a technological infrastructure made up of hardware and software devices that allow communication from the ground with a satellite.
Objective: The main purpose of this article is to describe the phases developed with the implementation of a remote monitoring system of ground signals, for the analysis of meteorological variables, and thus increase the percentage of use of the devices that make up the infrastructure of Estación Terrena Satelital de la Universidad Pedagógica y Tecnológica de Colombia (ETS-UPTC).
Methodology: The methodological design allowed to validate the increase in the percentage of daily use of the ETS-UPTC. It allowed the identification of the applications susceptible to be monitored on land, the description of the general structure of the system, the adaptation of the sensor node and the treatment of data for its later visualization in the coordinating node.
Results: It was possible to develop a sensor node, whose implementation and adaptation with the ETSUPTC allowed to increase its level of daily use by approximately 20%.
Conclusions: The integration of the monitoring system of meteorological variables with the ETS-UPTC, serve as an alternative, to be replicated in other satellite earth stations built under the traditional monolithic design, or as a reference to implement other monitoring solutions that require the use of different areas of knowledge in their design and implementation. The development of the project constitutes a social contribution that the Universidad Pedagógica y Tecnológica de Colombia can offer to the departments of Boyacá and Casanare, through the consolidation and distribution of information on the behavior of meteorological variables, data that could be used for the early warning system and risk prevention.
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