Combining photogrammetry and augmented reality towards an integrated facility management system for the oil industry

Lei Hou, Ying Wang, Xiangyu Wang, Nicoleta Maynard, Ian Cameron, Shaohua Zhang, Yi Maynard

Research output: Contribution to journalArticleResearchpeer-review

43 Citations (Scopus)

Abstract

The capabilities of applying smart information management systems for facility management (FM) in oil refining context have not yet been fully exploited. This paper presents a study that investigates the applicability of integrating advanced technologies such as augmented virtuality (AV), augmented reality (AR), and server-sustained information modeling (IM) in facilitating FM activities for a petroleum refinery. The paper starts with a thorough review on previous work in which multiple information processing technologies are applied to aid FM. The following section presents the conceivable merits when the novel visualization is formulated to enhance the conventional IM application. It then proposes a novel system framework based on technological feasibility and further describes the development of a system prototype that boosts immersive and interactive experiences to FM toward a multitude of electrical components. It is noted that this paper focuses on the method for the technological realization of the system. With the successful development of the system, it is able to deal with the management of complex information flows, support the users' navigation in geo-coordinates, and enables a succinct smart IM interface with switchable AV/AR scenes. In view that IM has been proved suitable in supporting real-time communication and information management while AV/AR can be effectively used to improve the way how information is exhibited into real workspaces, the system proves the concept of IM+AV/AR in the context of FM in a refinery. Future work will be conducted on the evaluation of system effectiveness and system optimization, with the aim of functional improvement and performing a feasibility study.

Original languageEnglish
Pages (from-to)204-220
Number of pages17
JournalProceedings of the Institute of Electrical and Electronics Engineers (IEEE)
Volume102
Issue number2
DOIs
Publication statusPublished - Feb 2014
Externally publishedYes

Keywords

  • Augmented reality (AR)
  • augmented virtuality (AV)
  • facility management
  • information modeling (IM)

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