Dynamic intelligent prediction and platform development of slope deformation and failure in high and steep open-pit mine

Abstract

This study is devoted to the quantitative study of the influence of rock and soil factors such as the physical properties of rock mass, the mechanical strength of rock mass, the shape of slope and the structural plane of rock mass on the displacement of high and steep open pit slope, and the coupling of mining factors, environmental factors and rock and soil factors. Based on a large number of engineering example data, using the integration ability of big data to build a sample library as a slope displacement training sample, in order to quickly grasp the development law of slope displacement change. On the basis of this research, an accurate and standardized slope displacement prediction system is formed, so as to build a dynamic intelligent prediction platform for slope deformation and failure of high and steep open-pit mines, and apply it to engineering practice, in order to provide support for the dynamic evaluation of slope stability of high and steep open-pit mines and the safe and efficient development and utilization of mineral resources.