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Localization of Bluetooth Smart Equipped Assets Based on Building Information Models

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Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

Indoor positioning systems are utilized to locate physical objects indoors without using GPS. Their applications include but are not limited to industry, business, and healthcare. This paper provides an analysis of a model and simulation of an indoor localization method which tracks physical assets relying on Bluetooth Smart. The system receives the desired building’s floor plan and the materials of all walls and surfaces from the Building Information Model. The walls and surfaces have their own particular radio frequency (RF) absorption efficiency and transmission loss; when any propagated wave signal reaches a barrier, some of the signal will be reflected, some will be absorbed, and the rest will be transmitted through the barrier. This study implements the floor plan of a building and simulates the reflection and transmission of all signals (building’s RF fingerprint map). To do so, the system generates a mesh for each Bluetooth reader, and calculates the level of received signal strength indicator (RSSI) for any points on the mesh. For each of these points, the simulation shows the propagation of RF signals in all directions and finds the summation of signals that may reach the reader to find the RSSI of that point.

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Acknowledgements

This work has been supported by the Curtin University and Commonwealth’s support through Curtin Research Scholarship (CRS) and Research Training Program (RTP) respectively.

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Authors and Affiliations

  1. Curtin University, Bentley, WA, Australia

    Mahtab Nezhadasl & Ian Howard

Authors
  1. Mahtab Nezhadasl
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  2. Ian Howard
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Corresponding author

Correspondence to Mahtab Nezhadasl .

Editor information

Editors and Affiliations

  1. The Asset Institute, Queensland University of Technology, Brisbane, QLD, Australia

    Joseph Mathew

  2. Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong SAR, China

    C.W. Lim

  3. School of Chemistry, Physics, Mechanical Engineering, Queensland University of Technology, Brisbane, QLD, Australia

    Lin Ma

  4. Synengco Pty Ltd, Highgate Hill, QLD, Australia

    Don Sands

  5. School of Chemistry, Physics, Mechanical Engineering, Queensland University of Technology, Brisbane, QLD, Australia

    Michael E. Cholette

  6. School of Mechanical and Manufacturing Engineering, UNSW Sydney, Sydney, NSW, Australia

    Pietro Borghesani

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Nezhadasl, M., Howard, I. (2019). Localization of Bluetooth Smart Equipped Assets Based on Building Information Models. In: Mathew, J., Lim, C., Ma, L., Sands, D., Cholette, M., Borghesani, P. (eds) Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-95711-1_42

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  • DOI: https://doi.org/10.1007/978-3-319-95711-1_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95710-4

  • Online ISBN: 978-3-319-95711-1

  • eBook Packages: EngineeringEngineering (R0)

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