Pashchenko O., Zabolotna Yu., Koroviakа Ye., Rastsvietaiev V. Using GNSS technologies for high-precision geodetic monitoring of infrastructure objects

Geoteh. meh. 2024, 171, 128-141

https://doi.org/10.15407/geotm2024.171.128

 

USING GNSS TECHNOLOGIES FOR HIGH-PRECISION GEODETIC MONITORING OF INFRASTRUCTURE OBJECTS

Pashchenko O. 

Zabolotna Yu. 

Koroviakа Ye. 

Rastsvietaiev V. 

Dnipro University of Technology

UDC 528.4:624.1:629.7.05

Language: English

Abstract. The structural integrity of infrastructure objects like bridges, roads, and railway tracks is crucial for ensuring public safety, economic stability, and operational continuity, yet these assets are vulnerable to deformations and displacements caused by environmental factors, heavy loads, and material fatigue, necessitating advanced monitoring techniques. This article investigates the application of GNSS technologies (Global Navigation Satellite Systems, including GPS, Galileo, and BeiDou) for high-precision geodetic monitoring of such infrastructure assets, focusing on their ability to detect subtle changes in real-world conditions. The study emphasizes the integration of GNSS data into a unified framework to ensure accurate monitoring of deformations, displacements, and structural stability, enabling proactive infrastructure management. A comprehensive approach is employed, combining field measurements with GNSS receivers installed on a 200-meter suspension bridge and a 1-km highway segment, data analysis using special software to filter out noise, and software modeling in GNSS Solutions to simulate deformation scenarios. Over a six-month period, the methodology achieved a high measurement accuracy of 2–5 mm, detecting a 3-mm vertical displacement on the bridge midspan and a 4-mm pavement uplift on the highway, enabling timely identification of potential risks like foundation settlement and subsurface shifts. The article also addresses limitations of GNSS technologies, such as signal disruptions from atmospheric conditions (e.g., ionospheric delays increasing errors by 1–2 mm during high humidity), and proposes solutions like differential methods (e.g., Real-Time Kinematic positioning) and multi-channel receivers to mitigate these issues. The conclusion offers practical recommendations for implementing GNSS monitoring in infrastructure projects, including the use of multi-constellation receivers and regular calibration, and outlines prospects for further research, such as integrating GNSS with IoT sensors for continuous data collection and leveraging AI technologies for predictive analytics to forecast deformation trends and enhance infrastructure resilience.

Keywords: GNSS technologies, geodetic monitoring, infrastructure objects, bridges, roads, deformations, measurement accuracy, structural stability, differential methods, real-time.

 

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About the authors:

Pashchenko Oleksandr, Candidate of Technical Sciences (Ph.D), Director of the Interbranch Institute of Continuing Education (MIBO), Associate Professor at the Department of Oil and Gas Engineering and Drilling, Dnipro University of Technology, Dnipro, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it. , ORCID 0000-0003-3296-996X

Zabolotna Yuliia, Candidate of Technical Sciences (Ph.D), Associate Professor, Associate Professor of the Department of Geodesy, Dnipro University of Technology, Dnipro, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it. , ORCID 0000-0003-4360-5707

Koroviakа Yevhеnii, Candidate of Technical Sciences (Ph.D), Associate Professor, Head of the Department of Oil and Gas Engineering and Drilling, Dnipro University of Technology, Dnipro, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it. , ORCID 0000-0002-2675-6610

Rastsvietaiev Valerii, Candidate of Technical Sciences (Ph.D), Associate Professor, Associate Professor of the Department of Oil and Gas Engineering and Drilling, Dnipro University of Technology, Dnipro, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it. е (Corresponding author), ORCID 0000-0003-3120-4623