Research on Deep-Sea Pipeline Tube Bundle Heating System

In order to ensure the safety of deep-sea submarine pipelines, this paper focuses on the analysis of the axial temperature distribution model of the submarine pipeline and the distribution parameter circuit model of the tube bundle heating system. Combined with these two models, theoretical analysis shows that the heating effect of the tube bundle heating system depends on the distributed circuit parameters and power frequency of the system. In order to improve the heat tracing efficiency, the power frequency needs to be adjusted according to the change of the load temperature, so the power supply frequency of the tube bundle heating system based on the Hammerstein model is optimized. Using a neuro-fuzzy algorithm, not only the theoretical values of heating power and power frequency are obtained, but also the drawbacks of determining the above parameters based on engineering experiments are avoided. Moreover, the pipeline heating is efficient and stable, the dynamic response is fast, and the working condition is also well adapted.