Prognostics Health Management Of Hinge Joint Of Soft Yoke Mooring System Based On Digital Twin

Offshore oil and gas is an important strategic resource to ensure China's national security.Floating Production Storage and Offloading(FPSO),as one of the main equipment for offshore oil and gas development,is widely used in Bohai Sea and South China Sea.The Soft Yoke Mooring System(SYMS)is an important device for realizing FPSO positioning,which can ensure long-term stable operation and safe production of offshore platform.Due to the complexity of the structure and the combined effect of long-term endurance of various marine environmental loads,the mooring system is prone to degradation and failure.If it is not maintained in time,it will cause huge economic losses.Therefore,it is necessary to carry out the research of digital and intelligent prognostics health management with real-time evaluation of mooring system status.Driven by intelligent sensor system,digital twin(DT)completes the high fidelity mapping of physical equipment in virtual space,which can accurately reproduce and predict the health status of offshore engineering equipment in the whole life cycle,effectively avoid the huge property loss and safety risk caused by premature failure of vulnerable structures,and provide a safe and stable working environment for offshore oil and gas production.Aiming at the prognostics health management of hinge joints of FPSO soft yoke mooring system,this paper summarizes and carries out the research on the key technologies of intelligent operation and maintenance digital twin method process of soft yoke mooring system,and puts forward the prognostics health management scheme of soft yoke mooring system driven by digital twin technology based on the five dimensional digital twin conceptual model.As one of the vulnerable structures of the soft yoke mooring system,the healthy operation and maintenance of the hinge joint in the whole life cycle is the guarantee of the safety of the mooring system.In this paper,BIM(Building Information Modeling)technology is used to visually express and integrate the physical and functional characteristics of FPSO offshore platform.Based on the prototype monitoring data,the response surface method is used to identify the parameters of the finite element model of the hinge joint,which improves the fidelity of the virtual model of the hinge joint.Considering the change of friction coefficient and load characteristics in the degradation process of hinge joint,the dynamic simulation conditions are set.The high fidelity virtual model of hinge joint is used to simulate the operation status of different stages of its whole life cycle.The BP neural network is used to establish the prediction model of hot spot stress of hinge joint to monitor its in-situ status in real time,The operation and maintenance method based on the health state of hinge joint is proposed.Finally,the visual prognostics health management platform for intelligent operation and maintenance of mooring system is built,and the preliminary application of digital twin technology in prognostics health management of soft yoke mooring system is realized.This work can provide support and auxiliary reference for the application of digital twin technology in marine engineering.