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

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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.Fur-thermore,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.

GNSS-PPPoffshore platformdynamic deformation monitoringimproved CEEMDAN de-noising

YU Li-na、XIONG Kuan、GAO Xi-feng、LI Zhi、FAN Li-long、ZHANG Kai

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Institute of Ocean Energy and Intelligent Construction,Tianjin University of Technology,Tianjin 300384,China

China Railway Construction Bridge Engineering Bureau Group Co.LTD,Tianjin 300300,China

School of Civil Engineering,Tianjin University,Tianjin 300072,China

Department of Land Surveying and Geo-Informatics,The Hong Kong Polytechnic University,Hong Kong,China

State Key Laboratory of Precision Blasting,Jianghan University,Wuhan 430056,China

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National Key R&D Program of ChinaNational Natural Science Foundation of China

2022YFB420070552109146

2024

10.1007/s13344-024-0029-7

中国海洋工程(英文版)
中国海洋学会

中国海洋工程(英文版)

CSTPCDEI
影响因子：0.338
ISSN：0890-5487
年,卷(期)：2024.38(2)
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