High-density polymer composite pipelines are widely used in oil industry due to its high strength, endurance and corrosion resistance. There is a practical need for monitoring oil temperature noninvasively for pipeline maintenance. However, real-time temperature measurement of oil is difficult based on sensors installed outside the insulation pipe wall. Thermal field calculation is harder for a microprocessor-based embedded device. This article proposed two theoretical models of temperature field in composite pipes with the help of Green's function. Analytical series forms were derived and implemented on microprocessors to determine fluid temperature indirectly. Computational and modelling complexity were discussed with respect to the integration transform and eigenfunctions. We showed experimentally that both the rigorous multilayer theory and equivalent heat transfer model have good accuracy in predicting temperature inside the composite pipe. The multilayer model has a better performance with maximum error lowered up to 0.15 K calculated by a commercial microprocessor.

高密度聚合物复合管道由于具有高强度，耐久性和耐腐蚀性而被广泛用于石油工业。实际需要无创地监测油温以进行管道维护。但是，基于安装在绝缘管壁外部的传感器，很难实时测量油的温度。对于基于微处理器的嵌入式设备，热场计算更加困难。借助格林函数，本文提出了两种复合管温度场的理论模型。导出了分析系列表格，并在微处理器上实施以间接确定流体温度。讨论了关于积分变换和本征函数的计算和建模复杂性。我们通过实验证明，严格的多层理论和等效传热模型在预测复合管内部温度方面均具有良好的准确性。多层模型具有更好的性能，通过商用微处理器计算，最大误差降低到0.15K。