Study of Top Coal Partition and Key Delayed-Action Region for Horizontal Sublevel Top Coal Caving in Deeply Inclined Seam

Zhang, Jiafan; Liu, Xiaoyu; Liu, Yang; Shao, Xiaoping; Zhang, Huimei

doi:10.1155/2021/8837678

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…Because of its abundant reserves and wide distribution compared with other energy sources, it plays an extremely important role in the development of China’s society, economy, and other aspects . Top coal caving is an efficient mining method suitable for the thick and extra-thick coal seams in China. , At present, the development status of the industry is high mining intensity and low caving technology level, resulting in a high gangue rate, which imposes additional burdens on the environment, economy, and other aspects. Under the background of China’s carbon peaking and carbon neutrality goals, it is of extreme significance to realize clean coal production by strengthening scientific and technological support.…”

Section: Introductionmentioning

confidence: 99%

Research on Coal Gangue Recognition Based on Multi-source Time–Frequency Domain Feature Fusion

Zhang,

Yang,

Zeng

2023

ACS Omega

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The over-exploitation of resources caused by the increasing coal demand has resulted in a sharp increase in solid waste emissions mainly gangue, which has made the burden on the environment, economy, resources, and society of our country heavier. In order to achieve a balance between energy consumption and solid waste emission in the process of top coal caving, this study carried out coal gangue recognition research based on multi-source time–frequency domain feature fusion (MS-TFDF-F). First, the process of coal gangue symbiosis and the harm of gangue in top coal caving are analyzed, and the fundamental method of comprehensive treatment of gangue is put forward, which is the accurate recognition of the coal gangue interface. Second, by building a top coal caving simulation test bed, the MS signals generated in the caving process of the coal gangue mixture with a gangue content of 0–100% are collected and the TFDFs are extracted. Third, the MS-TFDF-F-based coal gangue recognition model is established. Then, the recognition effect of the two TFDF-F sample sets was compared, and the results show that the time–frequency domain feature selection fusion method (TFDFS-FM) has higher accuracy. On this basis, this paper studies the variation law of the number of sensors on the coal gangue recognition accuracy of MS information fusion. Finally, the economic, social, environmental, and resource benefits of the model are qualitatively described. The final results show that the MS-TFDF-F-based coal gangue recognition model has the strongest recognition ability when fusing six sensor signals, and the recognition accuracy reaches 99% under the AdaBoost algorithm. The establishment of this model brings huge benefits to China’s environment, economy, resources, and society, and it is helpful to realize the balance between loss reduction mining and solid waste emission reduction in the process of top coal caving.

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Section: Introductionmentioning

confidence: 99%

Research on Coal Gangue Recognition Based on Multi-source Time–Frequency Domain Feature Fusion

Zhang,

Yang,

Zeng

2023

ACS Omega

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“…Chen Jianhang et al studied this with an improved numerical simulation method [27,28]. Du Taotao et al [29][30][31][32][33] and others believe that the mutual disturbances of mining and excavation in steep coal seams are the main inducements for the formation of rockbursts.…”

Section: Introductionmentioning

confidence: 99%

Study on Overburden Structure Characteristics and Induced Scour Mechanisms of Horizontal Sublevel Mining in Steep and Extra-Thick Coal Seams

Yuan

Chang

et al. 2022

Sustainability

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In order to study the space–time evolution law and the induced impact mechanism of overburden breaking in the tangential horizontal sublevel during the fully mechanized mining of extra-thick and steep coal seams, we took the Yaojie No. 3 mine as an example. Through the establishment of an overburden breaking mechanical model, the structural characteristics of hinged rock beams after overburden breaking and the space–time evolution law of overburden structure instability were analyzed, the static and dynamic load conditions that induce rockbursts were analyzed, and the induced impact mechanism of dynamic and static load superposition was revealed. Our research showed that, due to the asymmetry of the roof and floor, the coal body in the working face is in the strong shear stress zone at the end of the air inlet roadway, which easily produces shear failure. The lateral support pressure and the shear stress of the coal body in the goaf are the static load sources of the rockburst in the steep coal seam; after the roof overburden is broken, a hinge-bearing structure is formed under the support of the sliding force of the fault block and the floating gangue in the goaf. When the coal is mined in the lower section, the strong dynamic load formed by the impact of the fault block on the topmost coal is the main dynamic load source of the impact on the working face. Under the superpositions of the dynamic load and static load, the coal and rock lose stability and release energy in a large range, generating dynamic and static superimposed rockbursts. Furthermore, the internal mechanism of the occurrence of rockbursts during the mining of steep and extra-thick coal seams in the Yaojie No. 3 coal mine was revealed. The static load of the coal body comes from the clamping actions of the roof and floor, and the dynamic impact load comes from the clamping structure’s instability. The reason for the occurrence of rockbursts in the mining of steep and extra-thick coal seams in the Yaojie No. 3 coal mine was reasonably explained.

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Study of Top Coal Partition and Key Delayed-Action Region for Horizontal Sublevel Top Coal Caving in Deeply Inclined Seam

Cited by 2 publications

References 23 publications

Research on Coal Gangue Recognition Based on Multi-source Time–Frequency Domain Feature Fusion

Research on Coal Gangue Recognition Based on Multi-source Time–Frequency Domain Feature Fusion

Study on Overburden Structure Characteristics and Induced Scour Mechanisms of Horizontal Sublevel Mining in Steep and Extra-Thick Coal Seams

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