Ground depression simulation method and system based on cellular automaton

Abstract

The invention discloses a ground depression simulation method and system based on a cellular automation. The method comprises the steps that ground space data, mining working face arrangement situations and mining geological data are acquired; spatial interpolation is conducted on the ground space data to form grid DEM region data with the preset resolution ratio; the grid DEM region data, the mining working face arrangement situations and the mining geological data are analyzed to determine a mining depression influencing area, and a cellular automaton model is established; the established cellular automation model is used for simulating the ground depression process. According to the ground depression simulation method and system based on the cellular automation, the depression process caused by mining explosion under a complex geological mining condition can be simulated, the mining influencing range, the depression active strength, the area and the like of mining subsidence can be dynamically simulated, and a ground depression result close to a true situation can be obtained. Accordingly, the accuracy of ground depression prediction of mining explosion under the complex geological mining condition can be improved to a large extent.

Description

technical field [0001] The present application relates to the technical field of industrial monitoring, and more specifically, relates to a simulation method and system for surface subsidence based on cellular automata. Background technique [0002] While the development and utilization of large-scale mineral resources has brought huge economic and social benefits to human beings, it has also brought huge damage to the environment in which human beings live. During the mining of underground mineral resources, the overlying strata of the mining layer will be displaced and deformed, and the resulting mining subsidence can lead to a series of environmental problems, and even lead to major geological disasters, resulting in huge economic losses and serious social problems. . According to incomplete statistics, since the 1990s in my country, the surface subsidence caused by coal mining has been about 22,000 hm per year. 2 , by the beginning of this century, my country's mining ...

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Problems solved by technology

Because the data it uses are discrete point set data located on the observation line, that is, only the limited observation point data on the observation line laid out by the land subsidence observation station are used, the reliability of the prediction results obtained is poor, which leads to the occurrence of surface subsidence during mining. Can not be accurately predicted, resulting in environmental damage and huge economic losses

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