The separation of industrial azeotropes by a new integrated process of distillation-membrane separation has the prominent advantages for energy saving and environmental protection. In view of the variety of industrial azeotrope types, this paper proposes a comprehensive solution strategy based on intelligent genetic programming (GP) for the distillation-membrane separation integration process. Based on Visual Studio platform, GP is written by C++ language. This algorithm can quickly calculate the economic optimal distillation-membrane separation process for any azeotrope separation. In this paper, the tert-Butanol-water azeotrope, the 2-Propanol-water azeotrope and the Pervap® 2510 membrane are taken as calculation examples to verify the feasibility and extensibility of the algorithm. The cost of carbon dioxide emission is taken into account.The results show that the algorithm can quickly and accurately search the optimal integrative process of various feed conditions and carbon dioxide emission conditions. The analysis of multiple optimal data shows that the membrane area has great influenced by the change of feed composition, which further influences the membrane separation cost. The cost models of various kinds of membranes can be modified at any time, thus it can be helpful for the future industrial application and further modification of membrane which is still in the experimental stage.

采用新型的蒸馏膜分离一体化工艺分离工业共沸物具有节能环保的显着优势。鉴于工业共沸物类型的多样性，本文提出了一种基于智能遗传规划（GP）的蒸馏膜分离集成过程的综合解决方案。GP基于Visual Studio平台，是用C ++语言编写的。该算法可以快速计算出用于任何共沸物分离的经济最佳的蒸馏膜分离工艺。在本文中，叔丁醇-水共沸物2-以丙泊醇-水共沸物和Pervap®2510膜为计算示例，以验证该算法的可行性和可扩展性。结果表明，该算法可以快速，准确地搜索各种进料条件和二氧化碳排放条件下的最优集成过程。对多种最佳数据的分析表明，进料组成的变化对膜面积的影响很大，这进一步影响了膜分离成本。可以随时修改各种膜的成本模型，从而对将来的工业应用和仍处于实验阶段的膜的进一步修改有帮助。