Research On Digital Twin Technology Of Pipeline Structure In Geohazards Area

Geohazards have become one of the major threats for pipeline safety as catastrophic consequences can be induced by the ground displacement.Digital twin as important branch in the intelligent network development prospect,to realize intelligent control geological hazard section of the pipeline structure safety provides a new train of thought,but the number of twin pipeline structure security domain at present is still in the stage of data visualization,lack of core technical support,The requirements of "simultaneous growth" of twin model and physical entity and "real-time perception,accurate prediction and evaluation" of pipeline safety state cannot be realized.Therefore,the research on digital twinning technology of pipeline structure has important practical significance and theoretical value.A data regularization reconstruction method based on cubic spline interpolation is proposed in this paper.Continuous curves are obtained by regularization reconstruction of three-dimensional coordinate points of discrete pipelines and the surface.On the basis of considering the process loads such as internal pressure and temperature of pipelines,a calculation model of axial stress and strain of pipelines considering initial stress is established.The initial stress and strain distribution of the pipeline in geological hazard section under process load is calculated.Consider pipe soil interaction is proposed numeric method for computing the ground deformation under the action of pipe stress and strain,for the eastern route between China and Russia as the representative of large diameter pipes,contrast analysis of the engineering of the possible continuous,mutant,non-uniform continuous type and ladder type four types of ground deformation and displacement of pipeline under the action of change and axial stress distribution,the results show that: Among the four displacement forms,the axial stress of the pipeline under the action of abrupt subsidence is the largest.Therefore,when the pipeline crosses the fault,loess subsidence and other abrupt geological disaster areas,the stress is large and the pipeline is relatively dangerous.Based on the finite element model of pipeline numerical calculation under ground deformation,three kinds of parameters affecting pipeline stress and strain distribution are as follows: The parameters of pipe-soil interaction parameters,process load parameters and displacement load parameters were established and parameter analysis matrix was established to obtain the pipeline stress-strain database by batch calculation.Combined with the pipe stress-strain monitoring results,a high-precision reconstruction simulation model was established by using particle swarm optimization algorithm to accurately invert the real stress-strain distribution along the pipeline.The accurate perception of stress state of pipeline in geological disaster area is realized.Based on the model,considering the variation range of pipeline parameters under operating conditions,a stress-strain prediction method based on data drive was proposed to realize the rapid prediction of pipeline stress state in geological disaster area.The highprecision simulation model of pipeline stress state reconstruction and data-driven prediction model provide the kernel technology support for the construction of digital twin of pipeline structure in geological disaster area.For the Heihe-Changling section of the north section of the China-Russia Eastern Line,a twin computing engine based on the digital twin architecture of "two cores at both ends" was developed,and the twin scenario of crack state prediction of girth weld in pipeline under the effect of geological disasters was constructed.The twin scenario realized the monitoring,simulation,evaluation,prediction and other functional services as well as the virtual and real symbiosis interaction mechanism.It provides intelligent service scheme for the efficient,economical and safe production and operation of the whole life cycle of oil and gas pipe network.