Implementation and Performance Analysis of Remote Inclination Monitoring System

Key Findings & Data: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.

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Conclusion & Impact:Long-term test on a high-rise building have revealed that the inclinometer system is suitable for structural health monitoring applications.

🔬Design:Research Article

📍Scope:Comprehensive Sample

⚙️Variables:Domain Parameters

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.

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Cite This Article

AKPINAR, B., GÜRKAN, K., DİNDAR, A. A. (2022). Implementation and Performance Analysis of Remote Inclination Monitoring System. Balkan Journal of Electrical and Computer Engineering, Cilt: 9 - Sayı: 4, 348–353. https://ajindex.com/articles/460463

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References (12)

J. Cai, G. Bu, C. Yang, Q. Chen, and Z. Zuo, “Calculation methods for inter-story drifts of building structures,” Adv. Struct. Eng., vol. 17, no. 5, 2014, doi: 10.1260/1369-4332.17.5.735
G. Artese, M. Perrelli, S. Artese, S. Meduri, and N. Brogno, “POIS, a low cost tilt and position sensor: Design and first tests,” Sensors (Switzerland), vol. 15, no. 5, 2015, doi: 10.3390/s150510806
M. Labibi and M. Mehran, “Novel liquid-based linear capacitive inclination micro-sensor with totally 360° dynamic range,” IET Circuits, Devices Syst., vol. 13, no. 5, 2019, doi: 10.1049/ietcds.2018.5007
Y. Zhuang, Y. Chen, C. Zhu, R. E. Gerald, Y. Tang, and J. Huang, “A High-Resolution 2-D Fiber Optic Inclinometer for Structural Health Monitoring Applications,” IEEE Trans. Instrum. Meas., vol. 69, no. 9, 2020, doi: 10.1109/TIM.2020.2972171
B. Andò, S. Baglio, V. Marletta, and A. Pistorio, “A Magnetic Fluid-Based Inclinometer Embedding an Optical Readout Strategy: Modeling and Characterization,” IEEE Trans. Instrum. Meas., vol. 69, no. 8, 2020, doi: 10.1109/TIM.2020.2964937
M. Han et al., “Sensitivity improvement of a thermal convection based tilt sensor using carbon nanotube,” Jpn. J. Appl. Phys., vol. 56, no. 6S1, p. 06GF05, Jun. 2017, doi: 10.7567/JJAP.56.06GF05
D. W. Ha, H. S. Park, S. W. Choi, and Y. Kim, “A wireless MEMSbased inclinometer sensor node for structural health monitoring,” Sensors (Switzerland), vol. 13, no. 12, 2013, doi: 10.3390/s131216090
H. Huang, R. Xu, and W. Zhang, “Comparative Performance Test of an Inclinometer Wireless Smart Sensor Prototype for Subway Tunnel,” Int. J. Archit. Eng. Constr., 2013, doi: 10.7492/ijaec.2013.003
S. Zhao, Y. Li, E. Zhang, P. Huang, and H. Wei, “Note: Differential amplified high-resolution tilt angle measurement system,” Rev. Sci. Instrum., vol. 85, no. 9, 2014, doi: 10.1063/1.4894527
S. Hou, C. Zeng, H. Zhang, and J. Ou, “Monitoring interstory drift in buildings under seismic loading using MEMS inclinometers,” Constr. Build. Mater., vol. 185, 2018, doi: 10.1016/j.conbuildmat.2018.07.087
B. Andò, S. Baglio, and A. Pistorio, “A low cost multi-sensor system for investigating the structural response of buildings,” Ann. Geophys., vol. 61, no. 2, 2018, doi: 10.4401/ag-7702
B. Akpinar, K. Gürkan, A. A. Dindar, N. O. Aykut, and E. Gülal, “Development of national measurement system for structural health monitoring,” in International Congress on Advances in Civil Engineeri