Research on Fatigue Life Intelligent Control System of Deepwater Jacket Platform based on Digital Twin

Abstract

With the improvement of the design and manufacturing level of jacket platforms, there is a breakthrough in the design, manufacturing, and installation of the platform in China. There are many rods of deep-water jacket platforms. If the manual operation and maintenance mode is continued, the maintenance cost is very expensive, and the safety and reliability of the platform are difficult to guarantee. Through the two-way data transmission between the physical layer and the model layer of the digital twin system, the virtual and real image comparison is realized to obtain the stress data results of dangerous nodes, realize the real-time stress state data analysis, early warning function, and fatigue life prediction of the platform, and use the three-dimensional data simulation visual effect expression to feedback the detection results to the on-site workers to ensure the safety of underwater facilities.