Advertisement

Abstract

Structural Health Monitoring (SHM) plays a crucial role in environmental hazards like earthquake, fire, etc. The important aspect of building safety analysis is continuous monitoring using sensors. In the conventional method of analysis, the limitation is overcomes based on proposed method. The proposed frame work is an efficient way to analyze the structural behavior under vibration utilizing wireless sensor network (WSN). The development of the system includes a frame structure connected with accelerometer and ZigBee module that can send the signal to base station. A manual vibration shaker is used to make vibration in the developed frame structure in x-y direction at different conditions like normal to fully collapsing state. The controller output is fed to a graph generating software like MATLAB to simulate the corresponding plots of the building structure motions. The graphs are used to analyze the damage level of the building structure. Therefore, it helps in building risk diagnosis.

Keywords

Wireless sensor network (WSN) Structural health monitoring Risk diagnosis Accelerometer 

Notes

Acknowledgements

We would like to show our gratitude towards Dr. Sudha Balagopalan, Principal, Vidya Academy of Science and Technology for giving us sole co-operation and encouragement. I thank Dr. S. Swapna Kumar, HoD for assistance and Sruthi. M, Co-ordinator for the comments that greatly improved the manuscript. We thank our colleagues who provide insight and expertise that greatly assisted the project work.

References

  1. 1.
  2. 2.
    Kurata, N., Spencer, B.F., Ruiz-Sandoval, M.: Building risk monitoring using wireless sensor network. In: 13th World Conference on Earthquake Engineering, Vancouver, B.C., Canada, 1–6 August, Paper No. 1406 (2004)Google Scholar
  3. 3.
    Rangel-Magdaleno, J., Peregrina-Barreto, H., Ramirez-Cortes, J., Morales-Caporal, R., Cruz-Vega, I.: Vibration analysis of partially damaged rotor bar in induction motor under different load condition using DWT, Hindawi Publishing Corporation Shock and Vibration, vol. 2016, Article ID 3530464, 11 pages (2016)Google Scholar
  4. 4.
    Jaber, A.A., Bicker, R.: Design of a wireless sensor node for vibration monitoring of industrial machinery. Int. J. Electr. Comput. Eng. (IJECE) 6(2), 639–653 (2016)CrossRefGoogle Scholar
  5. 5.
    Albarbar, A., Teay, S.H.: MEMS accelerometers: testing and practical approach for smart sensing and machinery diagnostic. In: Zhang, D., Wei, B. (eds.) Advanced Mechatronics and MEMS Devices II, Microsystems and Nanosystems. Springer, Switzerland (2017)Google Scholar
  6. 6.
  7. 7.
  8. 8.
  9. 9.
  10. 10.
  11. 11.
  12. 12.

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringVidya Academy of Science and TechnologyThrissurIndia

Personalised recommendations