Design of electrical lines with the DLTCAD software and the improvement in the times of installation processes of electrical lines of antennas in rural areas

Authors

  • Freddy Jhonatan Meléndez Ramírez Universidad Nacional Mayor de San Marcos, Facultad de Ingeniería Electrónica y Eléctrica, Lima, Perú https://orcid.org/0000-0002-0852-2204

DOI:

https://doi.org/10.15381/risi.v16i1.25493

Keywords:

Design, electrical lines, DLTCAD, process times, installation, antennas, rural areas

Abstract

This work aims to present the design of power lines with the DLTCAD software and the improvement in the process times for the installation of power lines for antennas in rural areas. Currently in rural areas of Peru the telecommunications service is limited and scarce, with 68.6% access to "Mobile Telephony" and 68.7% access to "Internet" (Source: ERESTEL "Residential Survey of Telecommunications Services", 2021, OSIPTEL), hence the importance of having antennas in rural areas, necessary to provide the telecommunications service to: schools, hospitals, police stations, municipalities, others, and to be able to begin to gradually close the digital gap in our country. DLTCAD is a Peruvian software and one of the best in the world in the calculation and design of power lines. The antennas located in rural areas require electricity for the proper functioning of their equipment, and to be able to operate and radiate the telecommunications service for the benefit of the most needy population with high rates of extreme poverty that do not have basic services such as: water , light and even more so in telecommunications, hence the importance of installing antenna power lines in rural areas, and the importance of designing these power lines with the use of an electrical design tool or software.

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Published

2023-08-21

Issue

Section

Original Research Articles

How to Cite

[1]
“Design of electrical lines with the DLTCAD software and the improvement in the times of installation processes of electrical lines of antennas in rural areas”, Rev.Investig.sist.inform., vol. 16, no. 1, pp. 59–70, Aug. 2023, doi: 10.15381/risi.v16i1.25493.