Simulation and risk assessment of rolling stone disaster on highway slope based on big data

Rockfall, as a more common form of geological disaster in mountainous areas, is caused by geological structure, formation lithology, topography and other factors, and usually appears in natural slopes, artificially excavated road slope and other areas. According to the accumulated experience of research on rolling stone disaster movement of highway slope in recent years, in order to reduce the adverse impact of falling rocks on highway traffic safety, people will set up protective facilities around the slope to effectively intercept the stones falling down the hillside. From a practical point of view, the design must understand the falling speed, height and movement trajectory of the falling rock, and propose effective prevention and control measures according to the movement characteristics of the falling rock, so as to reduce the adverse effects caused by the rolling stone on the highway slope. Therefore, after understanding the characteristics of highway slope rockfall movement and the risk identification process of slope engineering, this paper constructs a highway rockfall risk assessment system based on big data, takes a certain highway slope rockfall movement as an example for simulation analysis, and finally puts forward effective prevention and control management measures.