A new method for dynamic prediction of mining subsidence

Abstract

The invention discloses a new method for dynamic prediction of mining subsidence, which utilizes a cellular automata model to realize dynamic prediction of mining subsidence and visual expression of evolution process of opening subsidence. The cellular space is composed of surface and underground coal seams, and it is linked up and down to reflect the process of subsidence evolution dynamically. The state of the surface cells is closely related to the spatial distance of the adjacent cells in the underground coal seam, and is also affected by the mining time. Based on the dimensionless magnitude of surface subsidence, the dimensionless subsidence value of each surface cell at a given time is calculated, and then the dimensionless subsidence value of the whole cell space is obtained, and then the deformation parameters such as tilt, curvature, horizontal deformation, horizontal movement and the rate of change can be analyzed. The invention utilizes the cellular automata model to realizethe dynamic prediction of mining subsidence, and realizes the visual expression of the evolution process of the open subsidence.

Description

technical field [0001] The invention relates to a new method for dynamic prediction of mining subsidence in a coal mining area. Background technique [0002] The subsidence of coal mining has resulted in the destruction of a large number of land resources, seriously affecting the sustainable development of the region. The reclamation of damaged land has also become an urgent problem to be solved. It is of great significance to control the degradation of the ecological environment and formulate reclamation measures if the relevant information of the damaged land can be obtained in advance before the mining of coal resources. Mining subsidence prediction is a key technology for land reclamation, but the traditional prediction methods are based on the termination state after the surface movement is stable, which cannot reflect the damage to the ecological environment caused by the change process, resulting in a difference between the result evaluation and the actual situation,...

AI Technical Summary

Problems solved by technology

Mining subsidence prediction is a key technology for land reclamation, but the traditional prediction methods are based on the termination state after the surface movement is stable, which cannot reflect the damage to the ecological environment caused by the change process, resulting in a difference between the result evaluation and the actual situation, leading to the reclamation measures. lack of targeting

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