Ground Pressure Hazard Monitoring and Early Warning in Complex Areas Research

Abstract In order to solve the problems of MaKeng Iron Mine original ground pressure disaster prediction and warning indicators are single, the forecast accuracy is seriously insufficient, and there is a lack of intuitive on-line monitoring and early warning of ground pressure, the ground pressure indicators are screened through the improvement of XGBoost algorithm, and the key indexes of multi-source evaluation of the degree of danger of the ground pressure in the mining area are determined, and the results show that: The multi-indicator comprehensive early warning model based on the improvement of XGBoost algorithm The early warning results are consistent with the actual site, overcoming the defects of one-sided warning of single indicator and improving the reliability of early warning; the system realizes the remote configuration of the equipment as well as the automatic collection, analysis, early warning and visualisation of monitoring data, which is of important guiding significance for the monitoring and early warning of geopressure hazards of ground pressure hazards in complex areas.