基于天然气脱碳工艺的溶液循环量组合预测模型

Combined prediction model of solution circulation based on natural gas decarburization process

在天然气脱碳工艺工业生产中,优化脱碳工艺流程可以有效提高生产效益。文章首先对脱碳工艺参数进行分析,采用Shapley值法对单预测模型进行分配权重,构建组合预测模型。实验对比表明,基于Shapley值的组合预测模型可以有效提高预测模型的稳定性,在优化脱碳工艺参数中具有一定的参考价值。

In natural gas decarburization process industry production,optimization of decarburization process flow can effectively improve production efficiency.Firstly,the decarburization process parameters are analyzed,and the Shapley value method is used to assign weights to the single prediction model and build the combined prediction model.Experimental comparison shows that the combined prediction model based on Shapley value can effectively improve the stability of the prediction model,and has certain reference value in the optimization of decarburization process parameters.