Application of GNSS-PPP on Dynamic Deformation Monitoring of Offshore Platforms

• Published in: China ocean engineering Vol. 38; no. 2; pp. 352 - 361
• Main Authors: Yu, Li-na, Xiong, Kuan, Gao, Xi-feng, Li, Zhi, Fan, Li-long, Zhang, Kai
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2024; Springer Nature B.V
• Subjects: Accuracy; Ambient noise; Background noise; Coastal Sciences; Deformation; Empirical analysis; Engineering; Excitation; Feasibility; Fluid- and Aerodynamics; Global navigation satellite system; Kinematics; Marine & Freshwater Sciences; Monitoring; Navigation; Navigation satellites; Navigation systems; Navigational satellites; Noise monitoring; Numerical and Computational Physics; Oceanography; Offshore; Offshore Engineering; Offshore platforms; Offshore structures; Real time; Satellites; Simulation; Vibration; Vibration monitoring; Vibration response; dynamic deformation monitoring; GNSS-PPP; improved CEEMDAN de-noising; offshore platform
• ISSN: 0890-5487; 2191-8945
• DOI: 10.1007/s13344-024-0029-7

The real-time dynamic deformation monitoring of offshore platforms under environmental excitation is crucial to their safe operation. Although Global Navigation Satellite System-Precise Point Positioning (GNSS-PPP) has been considered for this purpose, its monitoring accuracy is relatively low. Moreover, the influence of background noise on the dynamic monitoring accuracy of GNSS-PPP remains unclear. Hence, it is imperative to further validate the feasibility of GNSS-PPP for deformation monitoring of offshore platforms. To address these concerns, vibration table tests with different amplitudes and frequencies are conducted. The results demonstrate that GNSS-PPP can effectively monitor horizontal vibration displacement as low as ±30 mm, which is consistent with GNSS-RTK. Furthermore, the spectral characteristic of background noise in GNSS-PPP is similar to that of GNSS-RTK(Real Time Kinematic). Building on this observation, an improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) has been proposed to de-noise the data and enhance the dynamic monitoring accuracy of GNSS-PPP. Field monitoring application research is also undertaken, successfully extracting and analyzing the dynamic deformation of an offshore platform structure under environmental excitation using GNSS-PPP monitoring in conjunction with improved CEEMDAN de-noising. By comparing the de-noised dynamic deformation trajectories of the offshore platform during different periods, it is observed that the platform exhibits reversible alternating vibration responses under environmental excitation, with more pronounced displacement deformation in the direction of load action. The research results confirm the feasibility and potential of GNSS-PPP for dynamic deformation monitoring of offshore platforms.