Abstract: At present, quantitative research and analysis of the complex relationship between coal mine influential factors and coal seam gas content mostly use the Langmuir adsorption dynamics classical model, but the formula can not well target at the case of complex coal quality, special geological conditions or the influence of mining engineering factors, and the variables in the formula will become inaccurate under the influence of the above conditions, which will then interfere with the prediction results.Based on Langmuir's formula and industrial analysis, this paper carries out on-site sampling and analysis in different mines in Lu'an Mining Area, and adopts the methods of correlation analysis, multiple linear regression and comparative analysis to study, and incorporates the influential factors affecting the gas content into the multiple linear regression model, so as to establish a mathematical prediction model for the gas content and the influential factors, and finally, compares and verifies the predicted value of the model with the actual data.The results showed that in Lu'an mine, its gas pressure has the most significant effect on the content, followed by the adsorption constant a, and finally the volatile fraction, and the obtained mathematical regression model is W=-0.224V_daf+1.848P+0.242a-2.235.The obtained results can provide reliable support for the prdiction of mine gas content data, further supplement and improve the existing knowledge system in the field, and meanwhile offer new ideas and methods for related research.