Monitoring and analysis of dynamic deformation of offshore platform using GNSS PPP

doi:10.13474/j.cnki.11-2246.2022.0303

Abstract

Abstract: It is of great significance to monitor the dynamic deformation of offshore platforms under environmental excitation in real time to ensure their safe operation. GNSS PPP technology can achieve precise single-point positioning only by relying on single-point monitoring stations, which does not need to set up base station, thus GNSS PPP has potential application value in the field of marine platform deformation monitoring. Aiming at the problem of low accuracy of GNSS PPP monitoring signal interfered by background noise, the improved CEEMDAN algorithm is proposed to filter and denoise the monitoring signa and applied to the dynamic deformation monitoring of an offshore platform. The results show that:① The GNSS PPP technology combined with the improved CEEMDAN can effectively monitor the dynamic deformation of the offshore platform structure. ② The improved CEEMDAN can effectively eliminate the interference of background noise of GNSS PPP. ③ The clear 3D displacement trajectory of the monitoring point can be obtained based on the denoised signal, which can provide references for structural safety assessment.

Key words: GNSS PPP, offshore platform, dynamic deformation monitoring, improved CEEMDAN, signal denoising

CLC Number:

P229

XIONG Zhinan, YE Zuoan, CHEN Shi, YU Lina. Monitoring and analysis of dynamic deformation of offshore platform using GNSS PPP[J]. Bulletin of Surveying and Mapping, 2022, 0(10): 110-113.

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