Ir directamente a la navegación principal Ir directamente a la búsqueda Ir directamente al contenido principal

Industrial Training Platform Using Augmented Reality for Instrumentation Commissioning

  • Gustavo Caiza
  • , Jennifer K. Bologna
  • , Carlos A. Garcia
  • , Marcelo V. Garcia

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

Augmented reality (AR) platforms are poised to have great potential for industries when it comes to complex processes like maintenance or instrument commissioning in the Oil and Gas industry. The human-centered technology displays context-specific 3-D information in a real environment related to a specifically targeted object. Immersive experiences are expected to boost task efficiency, the quality of training, and maintenance purposes. This research shows an AR system that allows users to train in the calibration of HART instrumentation, using the Unity 3D platform and Meta 2 glasses. This application offers a platform that has advantages for users since it can train in the operation of expensive industrial equipment in an error-prone system. The validation of the system was carried out through an evaluation module, which allows the user to determine the level of training and autonomously build their own learning, obtaining positive responses that show that around 82% of the population evaluated.

Idioma originalInglés
Título de la publicación alojadaAugmented Reality, Virtual Reality, and Computer Graphics - 7th International Conference, AVR 2020, Proceedings
EditoresLucio Tommaso De Paolis, Patrick Bourdot
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas268-283
Número de páginas16
ISBN (versión impresa)9783030584672
DOI
EstadoPublicada - 2020
Evento7th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, AVR 2020 - Lecce, Italia
Duración: 7 sept 202010 sept 2020

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen12243 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia7th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, AVR 2020
País/TerritorioItalia
CiudadLecce
Período7/09/2010/09/20

Nota bibliográfica

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Areas de Conocimiento del CACES

  • 417A Electrónica, automatización y sonido
  • Diseño de metodologías para Fog Computing y controladores inteligentes basadas en IEC 61499

    Perez Pineda, R. E. (Investigador Secundario), Caiza Guanochanga, G. J. (Investigador principal), Saeteros Ortiz, C. M. (Investigador Secundario), Paucar Paucar, W. F. (Estudiante Investigador), Sigcha Tipan, D. S. (Investigador Secundario), Oñate Amaguaña, W. P. (Investigador Secundario), Arguero Tello, J. D. (Estudiante Investigador), Ortiz Sosa, M. G. (Estudiante Investigador), García Sánchez, M. V. (Investigador Externo), Molina Andrade, J. C. (Estudiante Investigador), Chiliquinga Tierra, G. F. (Estudiante Investigador), Calupiña Gálvez, L. R. (Estudiante Investigador), Rivera Muñoz, M. D. (Estudiante Investigador) & Gallardo Cabezas, D. Y. (Estudiante Investigador)

    24/03/1923/04/21

    Proyecto: Investigación y Desarrollo

Citar esto