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Agricultural machinery equipment research and development usually has problems such as long research and development cycle, low efficiency and poor product reliability. The modular product architecture can shorten the research and development cycle, improve research and development efficiency and product reliability, and effectively solve the contradiction between largescale production and diverse customer needs. To solve the problem that the existing module division methods ignored the influence of indirect connection between components on the module division, which resulted in the loss of important design dependency information, a node similarity model was established based on capacitance analogy method, the joint effect of direct and indirect connection between components was quantified, and the accurate module division was realized. Firstly, the interval valued intuitionistic fuzzy set was used to analyze the comprehensive correlation between components, and the comprehensive correlation autocorrelation matrix was mapped to a complex network. Then, a node similarity model based on the capacitance analogy method was established, and the similarity model was used as a central measure to propose a network hierarchical clustering (NHC) algorithm, which realized the discovery of complex network communities. Finally, the effectiveness of the NHC algorithm was verified by dividing the threshing device module of the combine harvester. The average modularity of the division scheme obtained by the NHC algorithm was 24.6% higher than that of the improved GN algorithm, and it was more reasonable to obtain the product structure tree than the improved GN algorithm.