The spatiotemporal grid visualization of big data volume usually involves a huge amount of data, and the data types are diverse and the structure is complex. At the same time, the dynamic nature of data over time also presents challenges. Processing and analyzing such a large and complex data set requires powerful data processing methods and spatiotemporal data sequencing technology. Therefore, a visualized intelligent management method for spatiotemporal grid of large data volumes is designed. Preprocess spatiotemporal data, eliminate redundant spatiotemporal data and supplement missing spatiotemporal data, and develop spatiotemporal grid process of big data. On this basis, the spatio-temporal grid is coded and sorted according to the importance of spatio-temporal data, and the priority of spatio-temporal grid is determined. The visualization function of geographic information technology is taken as the basic base map, the spatio-temporal grid and spatio-temporal data are visualized in the form of maps, and the spatio-temporal data is stored in the HBase database. The design of visualization intelligent management method of spatiotemporal grid of big data volume. Experimental data show that under different experimental conditions, the maximum matching rate of spatio-temporal data grid after application of the method is 98 %, and the maximum spatial and temporal data visualization resolution is 960 ppi, which fully proves that the application effect of the method is better.