Abstract: Based on the intelligent early warning platform for impact pressure, this paper analyzes the current situation of impact pressure in Zhang Shuanglou Coal Mine and the effectiveness of monitoring and early warning based on the complex causes of impact pressure and the low accuracy of early warning caused by a single early warning monitoring. In the background of intelligent mine concept, the monitoring and early warning framework is "stress field-energy vibration field-deformation field", and the multi-participant monitoring and early warning method with stress, vibration wave, drill chip volume and ground sound value as parameters is proposed from two dimensions of internal and external causes of impact ground pressure initiation, which is combined with parametric analysis technology to systematically and comprehensively evaluate the change characteristics of each monitoring data before the occurrence of impact ground pressure. This method is used to evaluate the change characteristics of the monitoring data before the occurrence of impact pressure, and to provide a basis for early warning and scientific and timely relief of the impact pressure in Zhang Shuanglou coal mine. The results of the field application show that the comprehensive warning capability and accuracy of the multi-parameter monitoring and warning method are significantly better than that of the single-indicator warning system, which provides a reference value for the promotion of safe mining and intelligent mine construction.