Study on Real-Time Calculation Method of Fpso Soft Yoke Mooring System Response Based on Long and Short Time Memory Network

2021 ◽  
Author(s):  
Yu Sun ◽  
Liping Sun ◽  
Peng Li ◽  
Gang Ma
Author(s):  
Yu Sun ◽  
Liping Sun ◽  
Peng Li ◽  
Gang Ma

Abstract Due to the complex marine environment factors such as wind and waves, FPSO (Floating Production Storage Offloading) relies on the mooring system for positioning and reducing the serious consequences when excessive hull movement happens. Therefore, the production, storage, and unloading operation of FPSO are directly affected by the safety of the mooring system. At present, installing the fiber grating strain sensor on the mooring system of FPSO is the primary way of system condition monitoring. However, the problems of sensors like dropping, deformation and short circuit reduce the reliability and increase costs in monitoring. In view of the above considerations, this paper proposes a real-time calculation method for motion response of mooring system of FPSO, basing on LSTM (Long and short-term memory) algorithm. In the case where the shipborne GPS (Global Positioning System) provides six degree of freedom, the force at the specific position on SYM (Soft Yoke Mooring) system can be directly calculated. The feasibility of the load response calculation involving the critical position like pendant-hull interface and of YOKE head in FPSO SYM system is proved by comparison with the numerical simulation, providing a new method support for gradually replacing the force sensor based mooring response acquisition method, and an economical and efficient way for the real-time calculation of the key position response in the FPSO mooring system.


2020 ◽  
Vol 35 (1) ◽  
pp. 977-987 ◽  
Author(s):  
Junpeng Ma ◽  
Xiongfei Wang ◽  
Frede Blaabjerg ◽  
Wensheng Song ◽  
Shunliang Wang ◽  
...  

2014 ◽  
Vol 644-650 ◽  
pp. 2133-2136
Author(s):  
Tian Shi Li

Because urban tail transit becomes the preferred way to travel for more travelers, the passenger flow of rail transit is increasing fast. Due to the increased passenger, the congestion on platform reduces the comfort and puts passengers in danger. This article analyses the model of island platform short-time arrivals based on the probability theory and historical statistics. The calculation method is studied and the Feasibility and algorithm is testified by setting numerical examples.


2020 ◽  
Vol 20 (11) ◽  
pp. 182
Author(s):  
Cong-Si Wang ◽  
Yue-Fei Yan ◽  
Qian Xu ◽  
Na Wang ◽  
Yuan-Peng Zheng ◽  
...  

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