Abstract
In this paper, we present the preliminary results of an indoor location estimation campaign using real data collected from vibration sensors mounted throughout an instrumented smart building. The Virginia Tech Smart Infrastructure Laboratory house a unique testbed featuring a fully instrumented operational building with over 240 accelerometers permanently mounted to the steel structure. It is expected that in the future, more and more buildings will be constructed with sensors scattered about their infrastructures, in no small part due to the envisioned promises of such systems which include improved energy efficiency, health and safety monitoring, stronger security, improved construction practices, and improved earthquake resistance. One of the most promising uses of this smart infrastructure is for indoor localization, a scenario in which traditional radio-frequency based techniques often suffer. The detection and localization of indoor seismic events has many potential applications, including that of aiding in meeting indoor positioning requirements recently proposed by the FCC and expected to become law in the near future. The promising initial results of a simplistic time-difference-of-arrival based localization system presented in this paper motivate further study into the use of vibration data for indoor localization.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhang J, Lutes RG, Liu G Brambley MR (2013) Energy savings for occupancy-based control (OBC) of variable-air-volume (VAV) systems, vol. PNNL-22072, Pacific Northwest National Laboratory
Federal Communications Commission, Wireless E911 Location Accuracy requirements: third further notice of proposed rulemaking, PS Docket No. 07-114, February 21 2014
Torrieri DJ (1984) Statistical theory of passive location systems. IEEE Trans Aerosp Electron Syst AES-20(2):183–198
Stein S (1981) Algorithms for ambiguity function processing. IEEE Trans Acoust Speech Signal Process 29(3):588–599
Stein S (1993) Differential delay/Doppler ML estimation with unknown signals. IEEE Trans Signal Process 41(8):2717–2719
Chan YT, Ho KC (1994) A simple and efficient estimator for hyperbolic location. IEEE Trans Signal Process 42(8):1905–1915
Patwari N, Ash JN (2005) Locating the nodes: cooperative localization in wireless sensor networks. IEEE Signal Process Mag 22(4):54–69
Zekavat R, Buehrer RM (2012) Handbook of position location: theory, practice, and advances. Wiley, New York
Buehrer RM, Anderson CR, Martin RK, Patwari N, Rabbat MG (2014) Introduction to the special issue on non-cooperative localization networks. IEEE J Sel Areas Signal Process 8(1):2–4
Nerguizian C, Despins C, Affes S (2006) Geolocation in mines with an impulse response fingerprinting technique and neural networks. IEEE Trans Wireless Commun 5(3):603–611
Lee H, Park JW, Helal A (2009) Estimation of indoor physical activity level based on footstep vibration signal measured by MEMS accelerometer in smart home environments. Springer, Berlin
Bahroun R, Michel O, Frassati F, Carmona M Lacoume J (2014) New algorithm for footstep localization using seismic sensors in an indoor environment. J Sound Vib 333:(3):1046–1066
Richman MS, Deadrick DS, Nation RJ, Whitney S (2001) Personnel tracking using seismic sensors. Aerospace/defense sensing, simulation, and controls, International Society for Optics and Photonics, pp. 14–21
Pakhomov A, Sicignano A, Sandy M Goldburt ET (2003) Single-and three-axis geophone: footstep detection with bearing estimation, localization, and tracking. AeroSense 2003, International society for optics and photonics, pp. 155–161
Pan S, Bonde A, Jing J, Zhang L, Zhang P, Noh, HY (2014) BOES: building occupancy estimation system using sparse ambient vibration monitoring, SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring, International Society for Optics and Photonics, pp. 90611O–90611O
Gezici S (2008) A survey on wireless position estimation. Wirel Pers Commun 44(3):263–282
Acknowledgements
The authors are thankful for the support and collaborative efforts provided by VTI Instruments, PCB Piezotronics Inc. and Dytran Instruments Inc. The work was conducted under the patronage of the Virginia Tech Smart Infrastructure Laboratory and its members.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 The Society for Experimental Mechanics, Inc.
About this paper
Cite this paper
Schloemann, J., Malladi, V.V.N.S., Woolard, A.G., Hamilton, J.M., Buehrer, R.M., Tarazaga, P.A. (2015). Vibration Event Localization in an Instrumented Building. In: De Clerck, J. (eds) Experimental Techniques, Rotating Machinery, and Acoustics, Volume 8. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-15236-3_24
Download citation
DOI: https://doi.org/10.1007/978-3-319-15236-3_24
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15235-6
Online ISBN: 978-3-319-15236-3
eBook Packages: EngineeringEngineering (R0)