Abstract: Aimed at the increasingly serious rock-burst problems restricting the safety and efficient production of coal mines,and in order to improve the accuracy of rock-burst monitoring and early warning,following the continuous online monitoring and early warning technology towards regionalization,and the development trend of intelligent network,and based on GIS, cloud technology, mining geophysical techniques, a cloud platform for intelligent assessment of rock burst and multi-parameter monitoring and early warning has been built with the integration of monitoring methods in- cluding micro-seismic,stress and drilling cuttings. The platform is composed of three parts:hardware,platform support software and cloud technology. It collects and stores the data in a standardized format and uploads them to the cloud server,using the risk recognition mode embedded in the platform and the warning criterion of risk level to determine the risk state of the evaluated area. The platform selects 13 indices,of which the dynamic weights are given by using the method of F-score,and according to the relationship between indices and the seismic and stress,energy,setting up multi-parameter and field comprehensive early warning system. It overcomes the disadvantage of low early-warning effi- ciency of single monitoring index and realizes the transformation from point,local and single parameter monitoring to regional multi-field and multi-parameter comprehensive early-warning. With the information fusion of monitoring data and control measures,the field monitoring,prevention and control information are provided through the “ picture” in the form of a real-time warning. In the early warning of the risk,the site should be guided to strengthen the pressure re- lief and crisis relief in high-risk areas,and the accuracy of early warning information should be fed back according to the crisis relief effect. The platform has been successfully used in the Gucheng coal mine of Shandong province and other 13 coal mines.