Abstract: The safety management of coal mine enterprises has long been the top priority in coal mine management. Coal mining enterprises store and sort out all kinds of data by investing in environmental monitoring equipment, equipment management system, personnel management system and other systems. However, there are still great limitations, such as independent operation between systems, heterogeneous data, insufficient pre-control ability, limited manual data processing ability and so on. The purpose of this study is to deeply analyze the current situation of coal mine safety management system by using data mining technology, combined with the theories and methods of safety management, system engineering and data mining. The result is that the big data model, functional framework and technical framework of coal mine safety management platform supported by data mining are studied and designed. The conclusion is that the value of this platform can effectively improve the risk prevention and control ability and decision-making efficiency of coal mining enterprises.