Abstract: The paper aims to prevent the occurrence of serious and extraordinary accidents and solve the existing problems in application of current risk and hidden danger information system in coal mines.The risk pre-control process and hidden danger closed-loop management process are optimized on the basis of investigation and research.Then the overall architecture of the system is developed,which includes the data acquisition layer, communication transmission layer, information service layer, application layer, and access layer.Using J2EE as the development platform,SSM as the development architecture,and Java as language,a dual preventive mechanism information system is developed which includes security risk grading control, hidden danger detection and management,safety production standardization, and system management. The risk data of the system is evaluated by the method of entropy weight-gray correlation degree and the hidden danger data is mined by FP-Growth algorithm which can provide assistant decision-making for coal mines. The results show that the system is deployed on the cloud server to ensure that employees can log in through browser and mobile APP at anytime and anywhere.The business process of the system meets the actual needs of coal mine work,and the statistical and analytical modules can provide reliable decision-making suggestions for coal mine risk management and hidden danger management.