Abstarct: Coal spontaneous combustion is the most important cause of fire and one of the avoidable hazards in coal mines and other coal-related industries worldwide. Self-combustion of coal can occur in underground, open-pit, old and abandoned mines, coal accumulation and coal storage, during transportation, especially sea transportation, and in places where mining waste is disposed of. This phenomenon causes a lot of human and financial damages, so it is very important. Considering the environmental and economic effects of this phenomenon, many methods have been used to investigate the phenomenon of coal self-combustion. In this research, after examining the scientific history of the subject, this test was performed for 40 coal samples from different coal mining areas. For these 40 samples, the inherent characteristics of coal including moisture, ash, volatile matter and fixed carbon have been measured. None of these coal samples have self-combustion, so it can be said that these mines are safe from the risk of coal self-combustion. Finally, the CART empirical model, which follows the regression rules, has been fitted on these data and a model has been obtained where the inputs of the coal intrinsic characteristics model and the output of the model are the temperature of the intersection point. Finally, the CART empirical model, which follows the regression rules, has been fitted on these data and a model has been obtained where the inputs of the coal intrinsic characteristics model and the output of the model are the temperature of the intersection point. Hence, there will be two intersection point temperatures; One is measured temperature and the other is predicted. The coefficient of determination is 0.9 for the test data and 0.96 for the training data, which is a very good number and shows the reliability of the model.