Implementation and Performance Analysis of Remote Inclination Monitoring System

Abstract

This paper presents design, implementation, and test stages of internet based inclinometer system. MEMS based two-axis inclinometer sensor, isolated data acquisition board, Raspberry Pi based microcomputer, and remote FTP server are the main parts of the system. Verification, noise characterization with Allan deviation, and temperature dependency measurements are conducted. Compensation and signal processing algorithms are performed in Google Colab. Long-term test on a high-rise building have revealed that the inclinometer system is suitable for structural health monitoring applications.

Keywords

• Analog-digital conversion
• Data Acquisition
• MEM/NEMS
• Sensors: Inertial
• Time-Domain Measurements

References

1. Cai, J., Bu, G., Yang, C., Chen, Q., & Zuo, Z., “Calculation methods for inter-story drifts of building structures,” Advances in Structural Engineering, vol. 17, no. 5, pp. 735-745, 2014.
2. M. Vágner and P. Beneš, “Start-up response improvement for a MEMS inclinometer,” in Proc. IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Pisa, 2015, pp. 1363-1366.
3. R. Schmidt, P. O'Leary, R. Ritt and M. Harker, “MEMS based inclinometers: Noise characteristics and suitable signal processing,” in Proc. IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Turin, 2017, pp. 1-6.
4. Ha, D., Park, H., Choi, S., and Kim, Y., “A wireless MEMS-based inclinometer sensor node for structural health monitoring”, Sensors, vol. 13, no. 12, pp. 16090-16104, Nov. 2013.
5. Huang, H. W., Ran Xu, and Wei Zhang, “Comparative performance test of an inclinometer wireless smart sensor prototype for subway tunnel,” International Journal of Architecture, Engineering and Construction, vol. 2, no.1, pp. 25-34, Mar. 2013.
6. Zhao, S., Li, Y., Zhang, E., Huang, P., and Wei, H., “Note: Differential amplified high-resolution tilt angle measurement system,” Review of Scientific Instruments, vol. 85, no. 9, pp. 096104, Sep. 2014.
7. Hou, S., Zeng, C., Zhang, H., and Ou, J., “Monitoring interstory drift in buildings under seismic loading using MEMS inclinometers,” Construction and Building Materials, vol. 185, pp. 453-467, Jul. 2018.
8. Andò, Bruno, Salvatore Baglio, and Antonio Pistorio, “A low cost multi-sensor system for investigating the structural response of buildings,” Annals of Geophysics, vol. 6, no. 2, pp. 217, Jan. 2018.

9. Akpinar B., Gürkan K., Dindar A. A., Aykut N. O., Gülal E., “Development of national measurement system for structural health monitoring,” in Proc. International Congress on Advances in Civil Engineering (ACE 2016), Turkey, 2016, pp.1-4.
10. Dindar A.A., Akpinar B., Gürkan K., Gülal E., Aykut N.O., “Development of low-cost hybrid measurement system,” in Proc. European Conference on Earthquake Engineering (16ECEE), Greece, 2018, pp. 1-8.
11. Martino, Salvatore, Luca Lenti, and C. Bourdeau, “Composite mechanism of the Büyükçekmece (Turkey) landslide as conditioning factor for earthquake-induced mobility,” Geomorphology, vol. 308, pp. 64-77, Jan. 2018.