Abstract: In view of the current technologies for preventing and controlling shock pressure disasters, which are mainly based on single physical quantity monitoring, Bayan Gaole Coal Mine combines "cloud technology" to integrate stress monitoring, microseismic monitoring, and cuttings monitoring and other data using a multi-parameter coupling early warning algorithm system The integration and establishment of a comprehensive intelligent monitoring and early warning platform for the impact of ground pressure risk realized the cloud real-time synchronous storage of raw data and analysis results. The application results show that the comprehensive intelligent monitoring and early warning platform for the risk of ground pressure can realize the automatic collection of multi-parameter data, joint monitoring and early warning and analysis, and the ability to perform the first analysis of ground pressure based on multiple parameters, which greatly improves the detection efficiency of ground pressure and reduces The economic loss of the mine.