Abstract: 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.

Key words: steam pipeline, hydraulic thermodynamic coupling, support vector machine, hybrid model, error correction