Abstract: To prevent personnel casualties and accident losses in coal mine production,a risk analysis method based on functional resonance analysis model (FRAM) and complex network (CN) was proposed. Firstly, the characteristics of coal mines were analyzed based on the investigation reports of 96 major coal mine accidents in recent years,and the causes of the sorted accidents were linked to the coal mining process to establish a FRAM model for coal mining production with 14 functional modules. Then,the coal mining production complex network model was constructed based on the FRAM model. Finally,based on the CN theory, the structural features of the coal mining production network were analyzed from the perspectives of nodes and links using node centrality and co-occurrence rate,and the risk evolution path from production start to accident occurrence was identified. Based on the analysis results,preventive measures for coal mine production accidents were proposed. The research results are of great significance for preventing coal mine production accidents and improving coal mine production safety levels.