Abstract: In order to investigate the main factors of coal mining subsidence in Lu'an Mining Area, selecting nine factors that may be related to subsidence from both geological conditions and mining processes, nine factors that may be related to surface subsidence were selected from geological occurrence conditions and mining technology, based on the data of geological, mining and observation of 10 typical working faces in Lu'an Ming Area, by using grey correlation analysis and regression prediction methods, the relationship between the maximum surface subsidence coefficient and factors of geological and mining was analyzed. The research results show that the main influencing factors of coal mining subsidence in Lu'an Ming Area are comprehensive hardness of overburden, mining height, working face inclination length and disturbance coefficient; at the same time,by taking the maximum subsidence coefficient as the dependent variable and the main influencing factors as the independent variable, the regression model of coal mining subsidence is established. The model well reflects the quantitative relationship between the maximum subsidence coefficient and its main influencing factors in this area. It also provides theoretical basis for the prediction of coal mining subsidence in Lu'an Ming Area.