Assessment of Deformation of Coal Seam and Longwall	through the Identification of Top Coal Caving Parameters

Kurlenya, M. V.; Mirenkov, V. E.

doi:10.1134/s1062739120046799

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…The area S of the vertical coal section on the conveyor can be calculated in accordance with Equation (5). Given the consistent running speed of the conveyor, the instantaneous coal quantity on the conveyor can be estimated by considering the coal quantity within a specific section and the velocity of the conveyor.…”

Section: Real-time Monitoring Of the Top Coal Caving Amount For The P...mentioning

confidence: 99%

“…These prominent coal seams are pivotal in ensuring a stable coal supply. Longwall top coal caving (LTCC) is a primary technique employed for mining thick coal seams, wherein the seam is vertically divided into two sections: bottom and top coal [4][5][6]. A conventional working face is then established at the location of the bottom coal, where mine pressure leads to top coal fragmentation.…”

Section: Introductionmentioning

confidence: 99%

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Application of an Automated Top Coal Caving Control System: The Case of Wangjialing Coal Mine

Huo,

Zhao,

Zhu

et al. 2024

Sustainability

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China has made notable advancements in the intelligent construction of coal mines. However, for longwall top coal caving (LTCC) mining faces, a key obstacle impeding the intelligent transition of the coal-cutting process is automated control. This paper focuses on the aforementioned issue and comprehensively considers the pre-, intra-, and post-coal-caving stages. In this work, diverse detection and monitoring technologies are integrated at various stages through a computer platform, facilitating the construction of an automated coal caving control system with self-perception, self-learning, self-decision-making, and self-execution capabilities. Key technologies include ground-penetrating radar-based top coal thickness detection, inertial navigation-based shearer positioning, tail beam vibration-based identification of coal and gangue, and magnetostrictive sensor-based monitoring of the tail beam and insert plate attitude. In this study, the 12309 working face of the Wangjialing Coal Mine was experimentally validated, and the efficacy of the aforementioned key technologies was assessed. The results demonstrated that the control requirements for automated coal caving are satisfied by the maximum errors. Automatic regulation of coal caving was realized through the implementation of this system, thereby facilitating initiation and cessation and yielding promising experimental outcomes. Overall, this system offers practical insights for intelligent construction in current LTCC mining faces and the sustainable development of coal resources.

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Section: Real-time Monitoring Of the Top Coal Caving Amount For The P...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of an Automated Top Coal Caving Control System: The Case of Wangjialing Coal Mine

Huo,

Zhao,

Zhu

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…18 Owing to the coal loss in the drawing process, the recovery ratio of the LTCC mining method is not satisfactory. To improve the top-coal recovery ratio and reduce the gangue content, many scholars studied cavability, 1,2,7,19,20 deformational characteristics, 9,13,[21][22][23] caving mechanisms, 3,[24][25][26] drawing laws or flow characteristics 5,[27][28][29][30] of top coal through theoretical analysis, numerical simulation, and laboratory tests. Top-coal caving characteristics and the migration law are closely related to the recovery ratio and gangue mixing ratio.…”

Section: Introductionmentioning

confidence: 99%

CDEM simulation of top‐coal caving characteristics under synchronous multiwindow drawing in longwall top‐coal caving mining of extra‐thick coal seam

Zhao

Zhou

et al. 2022

Energy Science & Engineering

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Traditionally, longwall top coal caving (LTCC) panels adopt the single‐window drawing mode and their drawing efficiency is relatively low. The synchronous multi‐window drawing (SMWD) mode is a remarkable approach to resolve the incompatibility between shearer coal mining and top‐coal drawing. The present paper analyzes the caving characteristics of top coal under SMWD in LTCC mining of extra‐thick coal seam. The caving and migration of top‐coal fragments were simulated by using the continuum–discontinuum element method (CDEM). The results show that the SMWD mode can effectively improve the drawing smoothness with larger caving channels compared to the traditional single‐window drawing mode. The main caving channel for top‐coal fragments was directly above the assembled multi‐window (AMW), and the size of the AMW had a great influence on the distribution of the velocity field. Additionally, the simulated draw body of the initial drawing adopted an elliptical shape, which changed into a variation ellipse with the increasing size of the AMW. The boundary of the simulated draw body of the initial drawing presented an irregular shape that deviated from the results predicted by the Bergmark–Roos model. Furthermore, the drawing efficiency increased with the expansion of the AMW, whereas the recovery ratio first increased and then decreased with the expansion of the AMW. Finally, field tests revealed that the SMWD mode can greatly improve the drawing efficiency. Thus, the recovery ratio under A2 and A3 SMWD modes was higher than that of the traditional single‐window drawing mode. Based on the results of field tests and CDEM simulation, it is recommended to adopt A2 and A3 SMWD modes to enhance the top‐coal recovery ratio and drawing efficiency. These research results could constitute a technical reference for automated highly efficient top‐coal drawing and high‐yield LTCC panel extracting extra‐thick coal seam.

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“…8 In addition, the past few years have witnessed a series of successful applications of LTCC mining in Australia, India, Russia and so on. 2,[10][11][12] In LTCC mining, the recovery ratio and the mining efficiency depend on fragmentation and caving of the top…”

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confidence: 99%

An acoustic wave method for evaluating the effectiveness of blast to enhance fragmentation in longwall top coal caving

Zhao

Zhou

Gao

2021

Energy Science & Engineering

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Longwall top coal caving (LTCC) mining is the most efficient method to extract thick or extra-thick coal seam and extensively used in western China. [1][2][3][4][5] With high productivity and efficiency, LTCC mining plays an ultimate important role in the development and reform of the traditional coal mining method. The prototype of LTCC could date back to the 1960s and 1970s, when some European countries, especially the French and Yugoslavia, used the total soutirage method to extract thick and irregular coal seams. 6 The poor recovery has been a major problem for the early soutirage longwall caving mining. 7 In the early 1980s, LTCC mining was first introduced in China. 5,8,9 Since then, with significant modifications and improvements, the LTCC mining method has experienced rapid development and achieved great success in China. 8 In addition, the past few years have witnessed a series of successful applications of LTCC mining in Australia, India, Russia and so on. 2,[10][11][12] In LTCC mining, the recovery ratio and the mining efficiency depend on fragmentation and caving of the top

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Assessment of Deformation of Coal Seam and Longwall through the Identification of Top Coal Caving Parameters

Cited by 6 publications

References 7 publications

Application of an Automated Top Coal Caving Control System: The Case of Wangjialing Coal Mine

Application of an Automated Top Coal Caving Control System: The Case of Wangjialing Coal Mine

CDEM simulation of top‐coal caving characteristics under synchronous multiwindow drawing in longwall top‐coal caving mining of extra‐thick coal seam

An acoustic wave method for evaluating the effectiveness of blast to enhance fragmentation in longwall top coal caving

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