A model-based approach for data integration to improve maintenance management by mixed reality

Authors:
DanúBia Bueno EspíNdola;Luca Fumagalli;Marco Garetti;Carlos E. Pereira;Silvia S. C. Botelho;Renato Ventura Henriques
Affiliations:
Center of Computational Sciences, Federal University of Rio Grande - FURG, Rio Grande, RS, Brazil;Dipartimento di Ingegneria Gestionale - POLIMI (Politecnico di Milano), Milano, Italy;Dipartimento di Ingegneria Gestionale - POLIMI (Politecnico di Milano), Milano, Italy;Department of Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil;Center of Computational Sciences, Federal University of Rio Grande - FURG, Rio Grande, RS, Brazil;Department of Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
Venue:
Computers in Industry
Year:
2013

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Abstract

Facilitating interaction with maintenance systems through intuitive interfaces is a competitive advantage in terms of time and costs for industry. This work presents the CARMMI approach, which aims to integrate information coming from CAx tools, mixed/augmented reality tools and embedded intelligent maintenance systems. CARMMI aims to provide support to operators/technicians during maintenance tasks through mixed reality, providing an easier access, understanding and comprehension of information from different systems. Information about where, when and which data will be presented in interface are defined by CARMMI. The paper presents three test cases that were performed using the proposed concepts and infrastructure. The main benefit of the approach is to provide an extensive and generic model for the integration and management of maintenance data through the use of CARMMI.