板集煤矿5煤层顶板离层临界值预测研究

doi:10.19286/j.cnki.cci.2024.06.001

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Abstract The aim of this study is to explore the predictive patterns of the roof caving critical value in the 5th coal seam of Banji Coal Mine, analyze the impact of various factors, and apply grey system theory in the prediction process. Through sensitivity analysis, we have identified the key factors influencing the roof caving critical value, ranked as follows: roadway width (hw) > immediate roof thickness (hz) > old roof thickness (hj) > anchor cable length (Gj) > 5th coal thickness (hm) > mining depth (H). Furthermore, linear and nonlinear fitting were performed to establish the functional relationships for the roof caving critical value. Based on the fitted curves, the critical values for shallow and deep roof caving were calculated as 46mm and 27mm, respectively, with a total critical value of 73mm. In addition, grey system theory was employed to predict the roof caving amount after 377 days, and a grey forecasting model was trained using the GM(1,1) model. The prediction results indicate that the total roof caving amount at the 2# measuring point is 65mm, which aligns with the expected values and roof caving patterns. In summary, this study, through sensitivity analysis, has clarified the primary controlling factors and proposed targeted measures to reduce roof caving. Furthermore, we applied the grey model for caving prediction, demonstrating its advantages and potential applications in this field. This provides a viable forecasting method for coal mine safety production.

Key words： roof de-lamination critical value prediction gray model Sensitivity analysis

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	Articles by authors
	Yue Xizhan1
	Li Yingfu2
	Zhao Jiangmei2
	Wang Guopu1
	Sun Maoru1

Cite this article:

Yue Xizhan1,Li Yingfu2,Zhao Jiangmei2等. Prediction of the critical value of the top slab of the 5-seam coal bed in Banji Mine[J]. CCI, 2024, 47(6): 1- 6，13..

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http://www.mtyhg.com.cn/EN/10.19286/j.cnki.cci.2024.06.001 OR http://www.mtyhg.com.cn/EN/Y2024/V47/I6/1

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