The hot spot temperature of a transformer is a crucial indicator for assessing its safe operation and load capacity. Under the same operating conditions, a lower hot spot temperature signifies safer transformer operation and greater load-bearing capability. The winding structure of the transformer and the oil channel formed by the baffle plates can significantly influence the hot spot temperature. Therefore, it is necessary to establish a simulation model for the transformer's hot spot temperature. During modeling, oil channels formed by windings and baffle plates of different structures are drawn to investigate the impact of the transformer's internal structure on the hot spot temperature. A parametric modeling method based on SpaceClaim scripting language is proposed, where the transformer's relevant structural and positional parameters are set as variable inputs, and automatic modeling is achieved by running the script, enabling rapid transformer modeling. Based on the proposed parametric modeling method, transformer models with different winding and baffle plate structures are drawn, and the hot spot temperature distribution under various winding and oil channel structures is calculated using the finite volume method. The research findings are of great significance for guiding the design of transformer winding and oil duct structures.