Research on Simulation of Mining Subsidence Based on Cellular Automata Model

Xiudong Qi; Zihao Jiang; Ziheng Zhou

doi:10.62051/ijnres.v5n1.03

Authors

Xiudong Qi
Zihao Jiang
Ziheng Zhou

DOI:

https://doi.org/10.62051/ijnres.v5n1.03

Keywords:

Cellular Automata; Mining Subsidence; 3D Visualization; 3D Laser Scanning.

Abstract

In response to a series of safety and environmental issues caused by displacement and deformation of overlying rock layers during the mining process of mineral resources, the cellular space is constructed by combining three-dimensional laser scanning data and traditional observation station data. Based on the research of subsidence mechanism and prediction methods in subsidence areas, a spatiotemporal model based on extended cellular automata for dynamic simulation of mining subsidence is proposed with DEM and subsidence acceleration parameters as mandatory constraints, and verified with examples. Compared with traditional method based on monitoring point, the fine surface model can better reflect the spatial change characteristics of monitoring surface objects and is more suitable for prediction of mining subsidence.

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