Seismic Location Station for Detection of Unobserved Moving Military Machineries

Year 2016, Volume: 4 Issue: 2, 61 - 66, 09.01.2016

Azad Bayramov Elshan Hashimov

https://doi.org/10.17858/jmisci.82365

Cited By: 1

Abstract

The main purpose of this paper is to develop a seismic location station that can detect unobserved, moving military objects, and heavy military machineries behind a forest or a mountain at a distance of 1-2 kilometers from the determined location. Seismic location station includes specific 3D seismic detectors based on the very sensible piezoelectric sensors. The proposed piezoelectric detectors are based on the PVDF+BaTiO₃+PZT polymer hybrid composite fabricated based on nano sized BaTiO₃ (or SiO₂) and micro sized PZT (plumbum zirconate titanate) piezoelectric material. A polyvinylidene fluoride (PVDF) was taken as polymer filler. This study presents the results of the development of seismic wave cells based on 3D seismic detectors.  Additionally, a plan is developed and offered for a solution to detect unobserved moving military trucks.

Keywords

Seismic waves, seismic location station, piezoelectric detector, moving military machineries, seismic wave’s cell

References

• Anderson T. S., Ketcham S. A., Moran M. L., and Greenfield R. J. (2001). FDTD Seismic Simulation of Moving Battlefield Targets, Proceedings of SPIE, 4393 (pp.1-13), Edward M. Carapezza, Ed.
• Daniel H. (1976). Cress Seismic methods of locating military ground targets. Miscellaneous paper M-76-113. Final Report. Mobility and Environmental Systems Laboratory, US Army Engineer Waterways Experiment Station, (73 p.).
• Edwards C. and Robinson C. (2004). Networked Enabled Sensors for the Future Soldier in Urban Warfare, Proc. SPIE 5611, (pp, 1168-1175), Unmanned/Unattended Sensors and Sensor Networks, Edward M. Carapezza, Ed.
• Hashimov E. G. (2015). Physical prinsiples of unobserved target detection. Military Learning. 2(134), 16-22.
• Hashimov E. G., Bayramov A. A. (2015). Detection unobserved moving armored vehicles by seismic method. National Security and Military Sciences. 1(01), 128-132.
• Jinhui Lan, Tian Lan, and Saeid Nahavandi (2004). A Novel Application of a Microaccelerometer for Target Classification. IEEE SENSORS Journal, 4(4), (p.519-524).
• Kerimov M. K., Kurbanov M. A., Bayramov A. A., Mamedov A. I. (2011). Matrix Active Micro- and Na¬no¬composites Based on the Polymer, Semiconductive and Ferropiezoceramic Materials. Nano composites and Polymers with Analytical Methods. Book 3. Book edited by: John Cuppoletti, INTECH Open Access Publisher. (pp.375-404).
• Kurbanov M. A., Bayramov A. A., Mammadov T. G., Kuliev M. M. (2013). Piezoelectric properties of polymer composite dielectrics. Fizika, XIX (1), sec:.En., (pp. 63-66).
• Маrchacshinov А. L. (2009). Evolution of local characteristics of object movement in seismic zone / Маrchacshinov А. L., Spector А. А. Аutometric, № 5 (pp.48-53). (In Russian)
• Маrchacshinov А. L. (2010). Correlated measurement of navigation parameters in seismic guard system / Маrchacshinov А. L., Rayfeld М. А., Spector А.А. Scientific News of NGTU, 3(40) (pp. 161-166). (In Russian)
• Pakhomov A. and Goldburt T., (2006). Seismic Systems for Unconventional Target / Detection and Identification Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense V, edited by Edward M. Carapezza, Proc. of SPIE 6201, 62011I.
• Panfilov А. К. (2010). Identification in seismoacoustic detection systems / Panfilov А. К., Кuzmenkov I. V., Sisoyev S.N. // New technologies, №4 (pp. 54-59).(In Russian)
• Tubaishat, M., & Madria, S. (2003). Sensor networks: an overview. Potentials, IEEE, 22(2), 20-23.
• Xin Jin, Soumalya Sarkar, Asok Ray, Shalabh Gupta, Thyagaraju Damarla. (2012). Target Detection and Classification Using Seismic and PIR Sensors. IEEE SENSORS JOURNAL, 12(6), (pp.1709-1718).
• Zvejinski S. S. (2005). Increase information capability of passive perimeter detection sets. Zvejinski S.S., Ivanov V.А. Modern technologies safety, 1 (pp.6-11).