Information Modeling for Virtual and Augmented Reality

Edoardo Patti, Angelo Mollame, David Erba, Daniele Dalmasso, Anna Osello, Enrico Macii, Andrea Acquaviva
2017 IT Professional Magazine  
The authors combine building information modeling (BIM) data with ambient information from devices deployed in smart buildings. Their Android-based application can then offer environmental building information integrated with BIM data in an augmented and virtual reality environment. Today's buildings are equipped with various types of sensor nodes-either wired or wirelessly connected to a home or building network-for monitoring and management purposes. These devices provide ambient information
more » ... bout environmental and energy-related parameters to increase awareness in building occupants and managers, and to facilitate feedback actions or plan interventions. Nevertheless, how to enable interoperability across devices adopting heterogeneous communication protocols or standards is the object of intensive research. Service-oriented middleware technologies attempt to address this issue. 1,2 In the context of smart buildings, effectively engaging users and exploiting so much potential information requires contextualizing physical data from sensors by combining it with other types of ambient information, such as building characteristics, topology, and infrastructures. To this end, building and energy managers can exploit building information modeling (BIM), 3 a methodology that provides an accurate virtual model, usually in 3D, of a building and its infrastructures. This model is created, updated, and consulted during the design, development, and management of the building itself. Here, we present a methodology and an associated Android-based mobile application that integrates sensor data with building models, allowing end users (that is, technicians and building and energy managers) to navigate in a virtual or augmented building environment and access context-related physical environmental parameters such as temperature, humidity, and energy consumption. The values of these parameters can be easily correlated with other building characteristics and infrastructural properties, such as gas, electricity, or heating networks. Our methodology leverages a distributed software architecture composed of underlying middleware services to access sensor data in a hardware-independent way and combine it with BIM models interactively. Our work's main aims are to
doi:10.1109/mitp.2017.43 fatcat:mwtqqw2ed5ezpn33j6c23aljtu