基于混合建模的蒸汽管道参数计算

提出一种结合机理建模和数据驱动建模的混合模型用于蒸汽管道的参数计算。在机理模型的基础上，采用向量机算法建立数据驱动误差预测模型，对机理模型计算所造成的机理误差进行预测，并将该模型的误差预测结果用于修正机理模型计算结果。为验证混合建模计算的有效性，通过实例建立机理模型和基于向量机算法的蒸汽参数预测模型计算管道末端蒸汽参数，并与混合模型的计算结果进行比较。结果证明，混合模型具有更高的计算精度，可为供热管道的运行优化提供参考。

Parameter Calculation of Steam Pipeline Based on Hybrid Modeling

This paper proposes a hybrid model combining mechanism modeling and data-driven modeling together for the calculation of parameters of steam pipelines. Based on the mechanism model, this paper establishes a data-driven error prediction model by virtue of the vector machine algorithm to predict the mechanism error caused by the mechanism model calculation, then uses the error prediction result of the model to correct the mechanism model calculation results. In order to verify the validity of the hybrid modeling calculation, through the case studies, the pipe end steam parameters are calculated by using the mechanism model and the steam parameter prediction model based on vector machine algorithm, and then compared with the mixed model calculation results. The results show that the hybrid model has higher calculation accuracy, which can provide reference for the operation optimization of the heating pipeline.