Monitoring method for borehole images of changes in overlying rock structure during coal mining

The migration of overlying rock layers caused by underground coal seam mining is the root cause of all mining pressure manifestations in the mining area. In order to visually record the changes in the overlying rock structure during coal seam mining, this paper proposes a borehole image monitoring method suitable for monitoring the changes in the overlying rock structure during coal seam mining. Firstly, based on the characteristics of rock structure borehole images collected in actual borehole environments, a preprocessing method for rock structure borehole images that can weaken the brightness and darkness features caused by lighting intensity is constructed to improve the recognition ability of borehole images. Subsequently, in response to the complexity and uncertainty of changes in the overlying rock mass structure, a method for locating the characteristic areas of rock mass structure is proposed to achieve the localization of structural characteristic areas at different times. Finally, a three state expression method is constructed to achieve dynamic tracking of the evolution process of rock mass structure. At the same time, combined with practical case analysis, the feasibility and correctness of the method proposed in this paper have been verified. This study not only contributions to to deepen the understanding of the evolution process and laws of the overlying rock mass structure, improve the ability of coal mine disaster prevention and control, but also provides useful references and guidance for the further development and application of coal mine video surveillance technology.

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Publication Details

Journal
Scientific Reports
Published
2025-05-03
DOI
https://doi.org/10.1038/s41598-025-00513-5
Citations
3
Primary Topic
Geoscience and Mining Technology
Type
article
Field-Weighted Citation Impact
3.91

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article

Monitoring method for borehole images of changes in overlying rock structure during coal mining

Zengqiang Han, Zou Junpeng, Ming Chen, Xiaobin Li et al.
3 citations
Scientific Reports
Geoscience and Mining Technology
3.91
article

Monitoring method for borehole images of changes in overlying rock structure during coal mining

Zengqiang Han, Zou Junpeng, Ming Chen, Xiaobin Li, Jinchao Wang, Wang Chao
article en
3 citations

Abstract

The migration of overlying rock layers caused by underground coal seam mining is the root cause of all mining pressure manifestations in the mining area. In order to visually record the changes in the overlying rock structure during coal seam mining, this paper proposes a borehole image monitoring method suitable for monitoring the changes in the overlying rock structure during coal seam mining. Firstly, based on the characteristics of rock structure borehole images collected in actual borehole environments, a preprocessing method for rock structure borehole images that can weaken the brightness and darkness features caused by lighting intensity is constructed to improve the recognition ability of borehole images. Subsequently, in response to the complexity and uncertainty of changes in the overlying rock mass structure, a method for locating the characteristic areas of rock mass structure is proposed to achieve the localization of structural characteristic areas at different times. Finally, a three state expression method is constructed to achieve dynamic tracking of the evolution process of rock mass structure. At the same time, combined with practical case analysis, the feasibility and correctness of the method proposed in this paper have been verified. This study not only contributions to to deepen the understanding of the evolution process and laws of the overlying rock mass structure, improve the ability of coal mine disaster prevention and control, but also provides useful references and guidance for the further development and application of coal mine video surveillance technology.

Scientific ReportsVol. 15(1)
Geological Institute (RU), Institute of Rock and Soil Mechanics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 8%
Geoscience and Mining Technology
3.91
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