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5 Oct 2021
On October 5, 2021, a business meeting was held between representatives of the EPAM Systems IT Company Denis Grinev and Sergey Garashchuk with the Rector of the State University “Odessa Polytechnic” Gennadii Alexandrovich Oborskiy
17 Sept 2021
International Summer School
15 July 2021
Until November 1, 2021, enrollment in the double degree program of Slovakia 2ouble Degree is carried out.
SECONDARY INFORMATION PROCESSING METHODS WHILE ESTIMATING THE SPATIAL ORIENTATION OF OBJECTS
The study is devoted to solving the scientific problem of ensuring unbiasedness and increasing the efficiency of assessing the spatial orientation of objects by applying new methods of secondary information processing in software and hardware components of computer systems. The paper describes a developed method for compensating for magnetic anomalies that affect magnetically sensitive sensors of the inclinometer rotation angles. It is based on recording the inclinometer readings and the angle of rotation of the drill pipe as it rotates in the mouth of well in a range of 360 degrees. This makes it possible to determine and further take into account the value of the magnetic deviation from the drill string in the readings of the inclinometer. A method is described for determining the parameters of a magnetic anomaly from an external stationary source of a constant magnetic field by using redundant information from the readings of inclinometery transducers in the mouth of well and at the point of assessment. This allows to expand the boundaries and scope of magnetometric transducers in difficult conditions. Methods for calculating the desired azimuth, as well as the parameters of the intensity vector of the magnetic anomaly are proposed. The errors of inclinometers based on sensor devices of various physical nature (fluxgates, gyroscopes, accelerometers), both rigidly fixed and with the use of gimbals pendulum suspensions, are considered. The factors influencing the bias of the estimation of the angles of the spatial orientation of the drilling tool, expressed through the Euler angles, are analyzed. The analysis took into account the effect of various reasons: deviations of the transducers' sensitivity axes from mutual orthogonality and the reference trihedron of the axes associated with the body; changes in the zero signal and transfer ratios under the influence of temperature; non-identical electrical parameters; inaccurate installation of the pendulum gimbal sensor frames in the tilt plane and along the vertical of the place. The permissible boundary values of each of the given errors have been determined. Consideration of these errors can significantly increase the unbiasedness of the assessment of the position of the object in difficult conditions. The practical significance of the results presented in the paper is the development of software and hardware components for assessing the spatial orientation of objects on the basis of the designed inclinometers capable of operating in difficult operating conditions and having a small diameter of the protective casing. Similar software and hardware components for assessing the spatial orientation of objects can be used: for the construction of underground communications; for the assembly of large-sized and remote objects; for static sounding of soils; for monitoring the state of building structure elements during operation.
Igor Victorovych Ryzhkov
, Cand. of Tech. Sciences, Associate Professor
( email@example.com )
spatial orientation; magnetic anomalies; orientation sensor; inclinometer; azimuth; zenith angle; deflector installation angle; bias in the assessment of orientation; mathematical model
1. Cheng-Yu, H., Yi-Fan, Z., Meng-Xi, Z., Leung, L. M. G. & Li-Qiang, L. “Application of FBG sensors for geotechnical health monitoring, a review of sensor design, implementation methods and packaging techniques”. Sens. Actuators A, Phys. Jun. 2016; Vol. 244: 184–197.
2. Inclinometer GNAMG [Electronic resource]: Product catalog “BaumerIVO”. – Available from: http://www.germany-electric.ru/48 – Title from the screen. – [Accessed: 11.14.2020] (in Russian).
3. IMG – 36A [Electronic resource]: Product catalog of Geosystems, Kyiv. Ukraine: – Available from: http://geosystems.com.ua/ – Title from the screen. – [Accessed: 11.14.2020] (in Russian)
4. Miller, G. A. “Fabrication of a multifiber optical inclinometer”. IEEE Photon. Technol. Lett. Jun. 15, 2015; Vol. 27 No. 12: 1289–1292.
5. Xiong, H. B., Cao, J. X. & Zhang, F. L. “Inclinometer-based method to monitor displacement of high-rise buildings”. Structural Monitoring and Maintenance. 2018; Vol.5 No.1: 111-127. DOI: https://doi.org/10.12989/smm.2018.5.1.111.
6. Li, Q., He, Y., Wang, H., Zhou, K. & Yan, B. “Monitoring and time dependent analysis of vertical deformations of the tallest building in China”. Struct Control Health Monit. 2017; 24. e1936. DOI: org/10.1002/stc.1936.
7. Mikkelsen, P. E. & DiBiagio, E. “Depth position errors in inclinometer surveys and false displacement results”. In Proceedings of the Ninth Symposium on Field Measurements in Geomechanics. Sydney. Australia: 8-10 September 2015. p. 117–123.
8. Bausk, E. A. Matyushenko, I. N. & Ryzhkov, I. V. “Operation of the Technological Complex of Monitoring of NPP Building Structures”. General Provisions. Standard of the State Enterprise “National Atomic Energy Generating Company” Energoatom “. SOU NAEC 109: 2016. Kyiv. Ukraine: 2016. 48 p. (in Russian)
9. Stavychny, E. M., Pyatkivsky, S. A., Plitus, M.M., Prytula, L. Ya. & Kovalchuk, M. B. “Restoration of wells – a promising direction to increase carbohydrate production in the Western oil region of Ukraine”. Oil and gas industry of Ukraine. 2014; No. 6: 3–6 (in Ukrainian).
10. Nikonenko, V.M., “Fuel and energy resources of Ukraine: present and future prospects”. Scientific Bulletin of Uzhhorod University. Series: Economics. 2014; Vip. 3(44): 54–59 (in Ukrainian).
11. “Oil and gas industry of Ukraine”. Information reference. [Electronic resource]. – Available from: https://www.naftogaz.com/files/Oil_Gas_Industry_Ukraine.pdf. – Title with the screen. – [Accessed: 11.14.2020] (in Ukrainian).
12. Ryzhkov, I. V., “Inclinometric instruments. Designs and methods of increasing accuracy”. Saarbrucken, Deutschland: LAPLAMBERT Academic Publishing. 2016. 274 p. (in Russian).
13. “National Joint Stock Company “NAFTOGAS of Ukraine”” [Electronic resource]. – Hydrocarbon production. – Available from: https://www.naftogaz.com/www/3/nakwebru.nsf/0/ 74B2346ABA0CBC69C22570D80031A365? OpenDocument. – Title from the screen. – [Accessed: 14.11.2020] (in Ukrainian).
14. Maheshwari, Muneesh, Yang, Yaowen, Upadrashta, Deepesh & Chaturvedi, Tanmay. “A Rotation Independent In-Place Inclinometer/Tilt Sensor Based on Fiber Bragg Grating”. IEEE Transactions on Instrumentation and Measurement. 2018. р. 1–11.
15. Moreira, L. & Guedes Soares, C. “Neural network model for estimation of hullbending moment and shear force of ships in waves”. Ocean Eng. DOI: org/10.1016/j.oceaneng. 2020. 107347.
16. Dongrui Yang, Xiaosu Xu & Yiqing Yao. “Hull Deformation Measurement with Large Angles Based on Inertial Sensors”. Access IEEE. 2020; Vol. 8: 191413–191420.
17. Allasia, P., Lollino, G., Godone, L. & Giordan, D. G. “Deep displacements measured with a robotized inclinometer system”. In Proceedings of the 10th International Symposium on Field Measurements in GeoMechanics. Rio de Janeiro. Brasil: July 2018. p.16-20.
18. Kovchov, G. N., Zhivtsova, L. I. & Ryzhkov, I.V. “Mathematical model of one-axis inclinometer transducer of inclination and sighting angles”. Scientific bulletin of National Mining University. State Higher Educational Institution “National Mining University”. Dnipro. Ukraine: 2015; No.2: 118–123.
19. Xu, H., Zhao, Y., Zhang, K. & Jiang, K. A. “Capacitive MEMS Inclinometer Sensor with Wide Dynamic Range and Improved Sensitivity”. Sensors. 2020.
20. Dai, K., Wang, X., Yi, F., Jiang, C., Li, R. & You, Z. “Triboelectric nanogenerators as self-powered acceleration sensor under high-g impact”. Nano Energy. 2018; 45: 84–93.
21. Anandan, N. & George, B. “A wide-range capacitive sensor for linear and angular displacement measurement”. IEEE Trans. Ind. Electron. 2017; 64: 5728–5737.
22. Pu, H., Liu, H. & Liu, X. “A novel capacitive absolute positioning sensor based on time grating with nanometer resolution”. Mech. Syst. Signal Process. 2018; 104: 705–715.
23. Giordan, D., Adams, M.S., Aicardi, I., Alicandro, M., Allasia, P., Baldo, M., De Berardinis, P., Dominici, D., Godone, D., Hobbs, P., et al. “The use of unmanned aerial vehicles (UAVs) for engineering geology applications”. Bull. Int. Assoc. Eng. Geol. 2020. р. 1–45.
24. Jeng, C.-J., Yo, Y.-Y. & Zhong, K.-L. “Interpretation of slope displacement obtained from inclinometers and simulation of calibration tests”. Nat. Hazards. 2017; 87: 623–657.
25. Yang, R., Bao, H., Zhang, S., Ni, K., Zheng, Y. & Dong, X. “Simultaneous measurement of tilt angle and temperature with pendulumbased fiber Bragg grating sensor”. IEEE Sensors J., Nov.2015; Vol.15 No.11: 6381–6384.
26. Ryzhkov, I.V. “Les systèmes inclinometriques dans les conditions d’un champ magnetique anomal”. Langues, Sciences ET Pratiques: du 2 Collogue international francophone en Ukraine. Dnipro. Ukraine: 2018. p.181–182.
27. Ken Shoemake. “Animating Rotation with Quaternion Curves Proc”. Publ.SIGGRAPH. 1985. p.245–254.
28. Jeng, C. J., Yo, Y. Y. & Zhong, K. L. “Nat Hazards Interpretation of slope displacement obtained from inclinometers and simulation of calibration tests. Publ. Natural Hazards. 2017; Vol.87 Iss.2: 623–657.
29. Fatemi Aghda, S. M. Ganjalipour, K. & Nabiollahi, K. “Comparison of performance of inclinometer casing and TDR technique”. Journal of Applied Geophysics. 2018; Vol.150: 182–194. DOI: org/10.1016/j.jappgeo.2018.01.022.
Vol. 3 № 4, 2020
24 Oct 2021
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