Realidad Aumentada Aplicada en la Supervisión, Mantenimiento de Equipos y Procesos Industriales

Grace Muñoz Macias; Byron Álvarez Brito; Henry Mero Briones; Carolina Muñoz Macias

doi:10.37431/conectividad.v5i2.130

Authors

Grace Muñoz Macias Instituto Superior Tecnológico Luis Arboleda Martínez https://orcid.org/0000-0001-8613-6977
Byron Álvarez Brito Instituto Superior Tecnológico Luis Arboleda Martínez https://orcid.org/0009-0004-9669-7291
Henry Mero Briones Universidad Laica Eloy Alfaro de Manabí https://orcid.org/0000-0002-8099-2710
Carolina Muñoz Macias Universidad Laica Eloy Alfaro de Manabí https://orcid.org/0000-0003-2919-3611

DOI:

https://doi.org/10.37431/conectividad.v5i2.130

Keywords:

Aumented reality, Efficiency, Supervision, Industrial maintenance

Abstract

In the current era of the industry, the application of Augmented Reality (AR) has emerged as a fundamental tool for enhancing supervision and maintenance of industrial equipment and processes. This study focused on addressing the growing need to optimize efficiency and safety in complex industrial environments. The central issue addressed was the lack of effectiveness in traditional supervision and maintenance, which often results in unplanned downtime and significant costs. The object of study was the implementation of AR solutions to improve real-time data visualization and provide guided assistance to field technicians. The research field is framed within the intersection of AR technology in the industry, exploring its practical applications and potential benefits. The aim of this research is to reduce downtime, improve decision-making, and increase operational efficiency. The methodology employed includes cases of AR implementation in the industry. Specific AR technologies, such as asset tracking systems, real-time data visualization, and technician training, have been examined. In conclusion, this study demonstrates that the application of Augmented Reality in industrial supervision and maintenance is highly effective in improving efficiency and safety, reducing costs, and increasing productivity. AR emerges as an innovative and promising solution to address current challenges in the management of industrial equipment and processes.

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