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Spontaneous combustion in coal mine is one of the main hazard sources that affect mine safety production. When there is a sign of spontaneous combustion, accurate identification of the degree of spontaneous combustion is helpful to take scientific and effective fire-fighting measures in time to ensure the safe production of the mine. Firstly, temperature programmed experiment is performed with collected coal samples, and the results of the experiment are standardized to eliminate the influence of dimension. Then, correlation analysis is used to analyze the correlation between gas indexes and temperature, as well as between gas indexes. Finally, a logarithmic mathematical model is constructed by using principal component analysis and principal component regression. The experimental gas is taken as independent variable and coal temperature as dependent variable in this model, which can be used to identify the spontaneous combustion degree of coal.