Abstract: Based on the big data of hidden dangers of coal mine accidents, revealing the temporal and spatial distribution characteristics of hidden dangers of coal mine accidents can not only provide important and comprehensive information for the investigation, treatment and management decisions of hidden dangers of coal mine accidents, but also improve the understanding and cognition level of coal mine safety management personnel on hidden dangers of coal mine accidents. Combined with the characteristic information of coal mining enterprises, this study analyzes the historical data of coal mine accident hazards from 2017 to 2022 by using visualization methods and statistical analysis methods such as box chart, Sankey chart and area chart, and excavates the spatial and temporal distribution law of coal mine accident hazards. The results show that: based on the characteristic information of coal mine enterprises, the standardized value of unit coal mine accident hidden danger has different change trend and difference in different years and different regions, which can provide guidance for formulating targeted and effective coal mine accident hidden danger investigation program and policy.