Virtual simulation experimental teaching usually involves a large amount of data, which may come from different sensors, measurement devices and simulation software.In order to effectively manage and integrate these data, a multi feature fusion method is proposed to construct a virtual simulation teaching data extraction model, ensuring completeness and accuracy, and optimizing the extraction of correlations. Experimental verification, multi feature fusion data extraction method, high consistency between reality and chance.which proves that the designed teaching data extraction method has a better extraction effect, is reliable, it has a great promoting effect on improving the teaching quality of virtual simulation experiments.