Research on the Prediction Model of Mine Subsidence Based on Object-Oriented and Probability Integration Method

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Abstract

The movement of rock formations caused by mining eventually leads to the mining subsidence damage of the surface. In order to accurately and efficiently predict the surface subsidence caused by mining, an object-oriented method combined with the classical probability integration method is introduced in this paper, and an object-oriented probability integration prediction model framework is established. MATLAB2019 is used to develop the application program of the prediction model, the reliability of the prediction model is tested by engineering cases, and the main influencing factors of mining subsidence are analyzed at the same time. The results show that the predicted results of the model are basically consistent with the case. The prediction model developed in this paper using the object-oriented method combined with the probability integration method is reliable. It is feasible to apply the object-oriented method to mining subsidence prediction.

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Gu, Z., Zhao, Y., Gao, R., & Wu, L. (2022). Research on the Prediction Model of Mine Subsidence Based on Object-Oriented and Probability Integration Method. Geofluids, 2022. https://doi.org/10.1155/2022/8107024

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