IJIEEB Vol. 18, No. 1, 8 Feb. 2026
Cover page and Table of Contents: PDF (size: 1059KB)
PDF (1059KB), PP.92-104
Views: 0 Downloads: 0
Geotechnical Sensor, Graphite Cylinder, Jetson Nano, Parallel Dipole Line, Tiltmeter
Tiltmeters with high accuracy and sensitivity are indispensable for various geotechnical applications, including soil deformation monitoring, structural inclination analysis, and seismic activity assessment. This study proposes a novel tiltmeter system utilizing Parallel Dipole Line (PDL) technology, where a diamagnetic graphite cylinder is levitated within a camelback potential field generated by parallel magnetic dipoles. Variations in the vertical position of the graphite cylinder correspond to tilt angles, which are captured by a high-resolution imaging system and processed using a Jetson Nano microcomputer for real-time analysis. Experimental results show that shorter graphite lengths can increase the measurement range. One of the test results is that 6 mm graphite can measure inclination in the range of -1.00000° to +0.99999°. In contrast, longer graphite, such as 12 mm, only reaches a range of -0.60000° to +0.60434°. In addition, the increase in graphite length and the reduction in magnet dimensions significantly help reduce oscillations during measurement, which ultimately improves system stability. The optimized PDL-based tiltmeter is capable of detecting inclination with a high resolution of up to 10⁻⁵ degrees, with critical damping used to eliminate oscillatory interference. These findings confirm that the PDL tiltmeter system offers much better precision, stability, and durability than conventional methods, making it a potential innovative tool for high-resolution geotechnical and structural monitoring.
Indra Hartarto Tambunan, Andi Ray Hutauruk, Philippians Manurung, Amsal Sinambela, Febrian Cornellius Sidabutar, "Potential Study of Parallel Dipoles Line Technology as Tiltmeter Sensor for Geotechnical Applications", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.18, No.1, pp. 92-104, 2026. DOI:10.5815/ijieeb.2026.01.06
[1]J. N. Swenson and D. D. Dasenbrock, “A Retrospective on the Evolution of Geotechnical Sensing and Instrumentation for Monitoring at MnDOT,” Geo-Congress 2020: University of Minnesota 68th Annual Geotechnical Engineering Conference (GSP 321), pp. 142–155, Feb. 2020, doi: 10.1061/9780784482841.011.
[2]F. Freddi, L. Mingazzi, E. Pozzi, and N. Aresi, “Laboratory Assessment of an In-Place Inclinometer Chain for Structural and Geotechnical Monitoring,” Sensors, vol. 23, no. 20, Art. no. 20, Jan. 2023, doi: 10.3390/s23208379.
[3]M. W. Bo and J. Barrett, Geotechnical Instrumentation and Applications. Cham: Springer International Publishing, 2023. doi: 10.1007/978-3-031-34275-2.
[4]B. A. Malik and R. Koner, “Comprehensive review of the monitoring and sensing system in slopes with a special focus on the mining sector,” Environ Sci Pollut Res, vol. 31, no. 59, pp. 66588–66614, Dec. 2024, doi: 10.1007/s11356-024-35693-6.
[5]N. Ramalingam, D. Tan, K.-S. Lim, M. S. Mohd Sa’ad, and H. Ahmad, “Development of a biaxial fibre Bragg grating (FBG) extensometer with axis misalignment error compensation and cloud integration for advanced slope monitoring,” Eng. Res. Express, vol. 7, no. 1, p. 015110, Jan. 2025, doi: 10.1088/2631-8695/adad3b.
[6]Y. Zhou, Y. Tian, J. Ye, X. Bian, and Y. Chen, “Soil disturbance evaluation of soft clay based on stress-normalized small-strain stiffness,” Journal of Rock Mechanics and Geotechnical Engineering, vol. 16, no. 3, pp. 990–999, Mar. 2024, doi: 10.1016/j.jrmge.2023.08.019.
[7]V. Licata, M. Bonasera, D. D’Angiò, A. Fraccica, M. Perrotti, and S. Romeo, “The Static and Seismic Behaviour of a Slow-Moving Landslide: The Case of Montemartano (Umbria, Central Italy),” in Geotechnical Engineering in the Digital and Technological Innovation Era, A. Ferrari, M. Rosone, M. Ziccarelli, and G. Gottardi, Eds., Cham: Springer Nature Switzerland, 2023, pp. 527–535. doi: 10.1007/978-3-031-34761-0_64.
[8]A. Singha et al., “Characterization of the seismic field at Virgo and improved estimates of Newtonian-noise suppression by recesses,” Class. Quantum Grav., vol. 38, no. 24, p. 245007, Nov. 2021, doi: 10.1088/1361-6382/ac348a.
[9]S. Esmaeili, M. Talebi, A. Pourdeilami, and E. N. Farsangi, “Innovative cost-effective pendulum tiltmeter based on the moiré technique,” OE, vol. 62, no. 5, p. 054101, May 2023, doi: 10.1117/1.OE.62.5.054101.
[10]X. Xu et al., “Design of A High-Precision Component-Type Vertical Pendulum Tiltmeter Based on FPGA,” Sensors, vol. 23, no. 18, Art. no. 18, Jan. 2023, doi: 10.3390/s23187998.
[11]V. V. Gravirov, A. V. Deshcherevskii, Y. O. Kuzmin, D. V. Likhodeev, A. L. Sobisevich, and I. A. Shirokov, “Improvements in High-Precision Tiltmeter Instrument Systems Located in an Underground Geophysical Observatory,” Seism. Instr., vol. 58, no. 4, pp. 363–378, Aug. 2022, doi: 10.3103/S0747923922040041.
[12]T. Wu and W. Zhang, “Review on Key Development of Magnetic Bearings,” Machines, vol. 13, no. 2, Art. no. 2, Feb. 2025, doi: 10.3390/machines13020113.
[13]S. Ullmann and D. Lowke, “Suitability of subsequently installed vibrating wire sensors for direct stress measurement in concrete and mortar,” MATEC Web Conf., vol. 361, p. 07005, 2022, doi: 10.1051/matecconf/202236107005.
[14]N. V. Wheeler, K. Saitoh, B. Zhu, and K. Nakajima, “Preface to the special issue on hollow core optical fibers: Progress in design, fabrication and applications,” Optical Fiber Technology, vol. 86, p. 103843, Sep. 2024, doi: 10.1016/j.yofte.2024.103843.
[15]O. Gunawan and Y. Virgus, “The one-dimensional camelback potential in the parallel dipole line trap: Stability conditions and finite size effect,” Journal of Applied Physics, vol. 121, no. 13, p. 133902, Apr. 2017, doi: 10.1063/1.4978876.
[16]O. Gunawan, Y. Virgus, and K. F. Tai, “A parallel dipole line system,” Applied Physics Letters, vol. 106, no. 6, p. 062407, Feb. 2015, doi: 10.1063/1.4907931.
[17]C. W. Lewandowski, T. D. Knowles, Z. B. Etienne, and B. D’Urso, “High-Sensitivity Accelerometry with a Feedback-Cooled Magnetically Levitated Microsphere,” Phys. Rev. Appl., vol. 15, no. 1, p. 014050, Jan. 2021, doi: 10.1103/PhysRevApplied.15.014050.
[18]M. S. Ramadhani, E. Junirianto, and E. Maria, “System Monitoring and Controlling Agricultural Activities with Arduino-Based Internet of Things,” TEPIAN, vol. 3, no. 4, Art. no. 4, Dec. 2022, doi: 10.51967/tepian.v3i4.1567.
[19]Z. Deng, M. Huang, N. Wan, and J. Zhang, “The Current Development of Structural Health Monitoring for Bridges: A Review,” Buildings, vol. 13, no. 6, Art. no. 6, Jun. 2023, doi: 10.3390/buildings13061360.
[20]H. Thirugnanam, S. Uhlemann, R. Reghunadh, M. V. Ramesh, and V. P. Rangan, “Review of Landslide Monitoring Techniques With IoT Integration Opportunities,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 5317–5338, 2022, doi: 10.1109/JSTARS.2022.3183684.
[21]K. M. P. Ebrahim, S. M. M. H. Gomaa, T. Zayed, and G. Alfalah, “Recent Phenomenal and Investigational Subsurface Landslide Monitoring Techniques: A Mixed Review,” Remote Sensing, vol. 16, no. 2, Art. no. 2, Jan. 2024, doi: 10.3390/rs16020385.
[22]R. Hakani and A. Rawat, “Edge Computing-Driven Real-Time Drone Detection Using YOLOv9 and NVIDIA Jetson Nano,” Drones, vol. 8, no. 11, Art. no. 11, Nov. 2024, doi: 10.3390/drones8110680.
[23]D. M. Nazeer, M. Qayyum, and D. A. Ahad, “Real Time Object Detection And Recognition In Machine Learning Using Jetson Nano,” International Journal from Innovative Engineering and Management Research (IJIEMR), vol. 11, no. 10, 2022.
[24]M. Kubota, H. Miyaji, and H. Yamamoto, “Wide-Range Sensor Network System by Limited Sensors Based on Various Image Analysis Method,” in 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), Jul. 2024, pp. 1476–1479. doi: 10.1109/COMPSAC61105.2024.00199.
[25]C.-C. Tsai, J. P. Wang, T.-Y. Huang, and C.-Y. Sung, “Correlations between pore water pressure development in sandy soil and CAV-based ground motion intensity measures,” Engineering Geology, vol. 307, p. 106785, Sep. 2022, doi: 10.1016/j.enggeo.2022.106785.
[26]S. Valladares, M. Toscano, R. Tufiño, P. Morillo, and D. Vallejo-Huanga, “Performance Evaluation of the Nvidia Jetson Nano Through a Real-Time Machine Learning Application,” in Intelligent Human Systems Integration 2021, D. Russo, T. Ahram, W. Karwowski, G. Di Bucchianico, and R. Taiar, Eds., Cham: Springer International Publishing, 2021, pp. 343–349. doi: 10.1007/978-3-030-68017-6_51.
[27]K. Sarvajcz, L. Ari, and J. Menyhart, “AI on the Road: NVIDIA Jetson Nano-Powered Computer Vision-Based System for Real-Time Pedestrian and Priority Sign Detection,” Applied Sciences, vol. 14, no. 4, Art. no. 4, Jan. 2024, doi: 10.3390/app14041440.
[28]O. Gunawan, “Precision inclinometer with parallel dipole line trap system,” US10234286B2, Mar. 19, 2019 Accessed: Dec. 29, 2024. [Online]. Available: https://patents.google.com/patent/US10234286B2/en
[29]S. Cheng, X. Li, Y. Wang, and Y. Su, “Levitation Characteristics Analysis of a Diamagnetically Stabilized Levitation Structure,” Micromachines, vol. 12, no. 8, Art. no. 8, Aug. 2021, doi: 10.3390/mi12080982.
[30]I. Nemoianu, V. Manescu, G. Păltânea, and R. Ciuceanu, “ASSESSMENT OF TILT ANGLE MEASUREMENT BASED ON A DIAMAGNETICALLY STABILIZED ALL PERMANENT MAGNET LEVITATION STRUCTURE,” 2018. Accessed: Dec. 29, 2024. [Online]. Available: https://www.semanticscholar.org/paper/ASSESSMENT-OF-TILT-ANGLE-MEASUREMENT-BASED-ON-A-ALL-Nemoianu-Manescu/b3bbae7b52daed75366819484b69e6a008129b67
[31]J. Pleterski, G. Škulj, C. Esnault, J. Puc, R. Vrabič, and P. Podržaj, “Miniature Mobile Robot Detection Using an Ultralow-Resolution Time-of-Flight Sensor,” IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1–9, 2023, doi: 10.1109/TIM.2023.3318710.
[32]D. F. Chiper and D. M. Dobrea, “A Novel Low-Complexity and Parallel Algorithm for DCT IV Transform and Its GPU Implementation,” Applied Sciences, vol. 14, no. 17, Art. no. 17, Jan. 2024, doi: 10.3390/app14177491.
[33]G. Capparelli et al., “The Integrated Landslides Monitoring System of Gimigliano Municipality, Southern Italy,” in Progress in Landslide Research and Technology, Volume 3 Issue 1, 2024, B. Abolmasov, I. Alcántara-Ayala, Ž. Arbanas, D. Huntley, K. Konagai, S. Mihalić Arbanas, M. Mikoš, M. V. Ramesh, K. Sassa, S. Sassa, H. Tang, and B. Tiwari, Eds., Cham: Springer Nature Switzerland, 2024, pp. 341–352. doi: 10.1007/978-3-031-55120-8_24.
[34]F. Zhang, H. Pei, H. Zhu, and L. Wang, “Research review of large deformation monitoring of rock and soil,” IOP Conf. Ser.: Earth Environ. Sci., vol. 861, no. 4, p. 042030, Oct. 2021, doi: 10.1088/1755-1315/861/4/042030.
[35]Y. Zheng, D. Huang, and L. Shi, “A new deflection solution and application of a fiber Bragg grating-based inclinometer for monitoring internal displacements in slopes,” Meas. Sci. Technol., vol. 29, no. 5, p. 055008, Apr. 2018, doi: 10.1088/1361-6501/aab13d.
[36]Y. Xu, Q. Jiang, K. Yang, J. Zhou, and Q. Guo, “A novel ultra-high-resolution inclination sensor based on diamagnetic levitation,” Sensors and Actuators A: Physical, vol. 343, p. 113686, Aug. 2022, doi: 10.1016/j.sna.2022.113686.
[37]M. Dong et al., “Experimental study on the dynamic behavior of a new medium–low-speed maglev subgrade structure,” Transportation Geotechnics, vol. 48, p. 101298, Sep. 2024, doi: 10.1016/j.trgeo.2024.101298.
[38]P. Pinot and Z. Silvestri, “Pyrolytic carbon: applications of its diamagnetism in metrology,” Int. J. Metrol. Qual. Eng., vol. 10, p. 7, 2019, doi: 10.1051/ijmqe/2019008.
[39]Y. Hu et al., “Structured transverse orbital angular momentum probed by a levitated optomechanical sensor,” Nat Commun, vol. 14, no. 1, p. 2638, May 2023, doi: 10.1038/s41467-023-38261-7.
[40]D.-Y. Tan and J.-H. Yin, “Development of Optic Fiber Sensing Technology for Geotechnical Application - From Laboratory Measurement to Geotechnical Monitoring,” in Advances in Geoengineering along the Belt and Road, H.-H. Zhu, A. Garg, A. Zhussupbekov, and L.-J. Su, Eds., Singapore: Springer, 2022, pp. 71–80. doi: 10.1007/978-981-16-9963-4_6.
[41]F. Chen et al., “Two-dimensional vector bending sensor based on single excessively tilted fiber grating,” Opt. Express, OE, vol. 32, no. 21, pp. 37869–37882, Oct. 2024, doi: 10.1364/OE.537638.
[42]J. Á. B. Palma, M. N. I. Bonilla, and R. E. Grande, “Lane Line Detection Computer Vision System Applied to a Scale Autonomos Car: AutoModelCar,” in 2020 17th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), Nov. 2020, pp. 1–6. doi: 10.1109/CCE50788.2020.9299131.
[43]Q. Ji, “Computer graphics processing technology based on GIS model and its application,” Systems and Soft Computing, vol. 6, p. 200173, Dec. 2024, doi: 10.1016/j.sasc.2024.200173.
[44]R. Nebeluk et al., “Predictive tracking of an object by a pan–tilt camera of a robot,” Nonlinear Dyn, vol. 111, no. 9, pp. 8383–8395, May 2023, doi: 10.1007/s11071-023-08295-z.
[45]R. Dubey and R. Gajjar, “Real-Time Image Super-Resolution using Drone through GFPGAN and Nvidia Jetson Nano,” in 2023 9th International Conference on Signal Processing and Communication (ICSC), Dec. 2023, pp. 440–444. doi: 10.1109/ICSC60394.2023.10441545.
[46]I.-H. Chen, Y.-S. Lin, and M.-B. Su, “Computer vision–based sensors for the tilt monitoring of an underground structure in a landslide area,” Landslides, vol. 17, no. 4, pp. 1009–1017, Apr. 2020, doi: 10.1007/s10346-019-01329-x.
[47]M. R. Adinugroho, E. Junirianto, and A. Franz, “License Plate Recognition Integrated with Android and Mobile Vision,” TEPIAN, vol. 2, no. 3, Art. no. 3, Sep. 2021, doi: 10.51967/tepian.v2i3.503.
[48]N. Florian, D. Popescu, and A. Hossu, “Real-time Tiredness Detection System using Nvidia Jetson Nano and OpenCV,” Procedia Computer Science, vol. 242, pp. 536–543, Jan. 2024, doi: 10.1016/j.procs.2024.08.101.
[49]A. Basulto-Lantsova, J. A. Padilla-Medina, F. J. Perez-Pinal, and A. I. Barranco-Gutierrez, “Performance comparative of OpenCV Template Matching method on Jetson TX2 and Jetson Nano developer kits,” in 2020 10th Annual Computing and Communication Workshop and Conference (CCWC), Jan. 2020, pp. 0812–0816. doi: 10.1109/CCWC47524.2020.9031166.
[50]H. Niu, J. Liu, Z. Yu, D. Zheng, P. He, and F. Wang, “Real-time object tracking system using PTZ camera,” in 2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT), Oct. 2022, pp. 471–478. doi: 10.1109/ICCASIT55263.2022.9986912.
[51]T. D. Curi Busarello, S. Luiz Sambugari Junior, and N. da Silva, “Zero-Crossing Detection Frequency Estimator Method Combined with a Kalman Filter for Non-ideal Power Grid,” in 2019 IEEE 15th Brazilian Power Electronics Conference and 5th IEEE Southern Power Electronics Conference (COBEP/SPEC), Dec. 2019, pp. 1–6. doi: 10.1109/COBEP/SPEC44138.2019.9065661.
[52]Y. Cao, Q. Li, H. Ding, M. Xu, R. Tian, and X. Bu, “Infrared attitude measurement signal parameter estimation based on gradient zero-crossing method,” Infrared Physics & Technology, vol. 145, p. 105716, Mar. 2025, doi: 10.1016/j.infrared.2025.105716.
[53]S. Hwang, J. L. Lee, and H. Chun, “Applying artificial neural network to zero-crossing wave parameters for the wave spectrum,” Ocean Engineering, vol. 309, p. 118331, Oct. 2024, doi: 10.1016/j.oceaneng.2024.118331.