Influence of the Bachatsky Earthquake on Methane Emission in Roadways in Coal Mines

Kurlenya, M. V.; Tsupov, M. N.; Savchenko, A. V.

doi:10.1134/s1062739119056051

Cited by 7 publications

(4 citation statements)

References 6 publications

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“…Analyzing and researching mine monitoring data and guiding production based on the analysis results are of great significance to coal mine enterprises to achieve high-quality development of the coal industry and related industries in the new era. Gas monitoring data are related to coal mine production safety, and many abnormal data points often appear in gas monitoring data [18][19][20]. Although the underground coal mine gas monitoring system has gradually become more complete, the analysis and processing of the data collected by the system remain insufficient.…”

Section: Introductionmentioning

confidence: 99%

Research on Early Warning for Gas Risks at a Working Face Based on Association Rule Mining

et al. 2021

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In the process of gas prediction and early warning, outliers in the data series are often discarded. There is also a likelihood of missing key information in the analysis process. To this end, this paper proposes an early warning model of coal face gas multifactor coupling relationship analysis. The model contains the k-means algorithm based on initial cluster center optimization and an Apriori algorithm based on weight optimization. Optimizing the initial cluster center of all data is achieved using the cluster center of the preorder data subset, so as to optimize the k-means algorithm. The optimized algorithm is used to filter out the outliers in the collected data set to obtain the data set of outliers. Then, the Apriori algorithm is optimized so that it can identify more important information that appears less frequently in the events. It is also used to mine and analyze the association rules of abnormal values and obtain interesting association rule events among the gas outliers in different dimensions. Finally, four warning levels of gas risk are set according to different confidence intervals, the truth and reliable warning results are obtained. By mining association rules between abnormal data in different dimensions, the validity and effectiveness of the gas early warning model proposed in this paper are verified. Realizing the classification of early warning of gas risks has important practical significance for improving the safety of coal mines.

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Section: Introductionmentioning

confidence: 99%

Research on Early Warning for Gas Risks at a Working Face Based on Association Rule Mining

et al. 2021

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“…The scraper conveyor reliability can directly influence the safe and highly efficient production of modern coal mines as a key equipment for coal mining on a fully mechanised coal mining face [1,2]. Statistics show that fault is most likely to occur in the scraper chain of which the ratio of the faults, including chain disconnection, jumping and dropping, is 40% out of the total number of scraper conveyor faults [3,4].…”

Section: Introductionmentioning

confidence: 99%

Characteristics of new permanent magnetic eddy current drive system of the scraper conveyor

Wang

2021

J. eng.

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This study provides a new permanent magnetic eddy current drive system to solve the energy-saving drive problem of the scraper conveyor working under bad conditions, including overload startup, severe abrasion and pollution. Considering the practical conveying conditions of the scraper chain on a fully mechanised coal mining face, this study creates a mathematical model for the new permanent magnetic eddy current drive system of the scraper conveyor based on its characteristics and indicates the motion characteristics of the scraper chain driven by two wheels. This study verifies the model accuracy with a pre-startup technology depending on the scraper conveyor on the No. 12318 working face of the 8th coal mine in the West No. 1 mining area of the Pansan Coal Mine of the Huainan Mining Group. According to the results, the motion acceleration of the scraper chain based on the new permanent magnetic eddy current drive is lower than that of the scraper chain with a hydraulic coupler under the same running and load during startup and acceleration and declines by approximately 14.7%. Consequently, this can decline the startup impact due to the serious abrasion and frequent overload of the scraper chain working under bad conditions.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Underground coal mines are gradually affected by mine earthquakes with increased coal mining depth [12,13]. In the limited deep space, mine earthquakes may cause a series of other coal mine disasters, such as rock explosion, coal and gas outburst [14], and water penetration [15][16][17][18][19][20]. erefore, the response of deep underground coal mine structure should be analyzed under the seismic load.…”

Section: Introductionmentioning

confidence: 99%

Seismic Response Analysis of Deep Underground Roadways and Coal Pillars under the Influence of the Adjacent Goaf

Cao

Han

2021

Advances in Civil Engineering

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In this work, a numerical study is conducted on the seismic response of deep-buried roadways in coal mines under the influence of goafs, and a 3D numerical model of the seismic response simulation of deep-buried roadways is established using the coupling model of the finite difference method and the distinct element method. This model simulates the seismic response of different coal pillar widths and the seismic conditions of the deep-buried roadways under the influence of the adjacent goafs. The deformation, stress distribution, and plastic area distribution of roadways and coal pillars are systematically studied, and the situations under the static load and the roadways, which are not affected by the goafs, are compared and analyzed. A reasonable width of the coal pillar is proposed on the basis of the stability of the roadway and the coal pillars. In the end, suggestions for the reasonable setting of coal pillars under seismic load are provided.

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Influence of the Bachatsky Earthquake on Methane Emission in Roadways in Coal Mines

Cited by 7 publications

References 6 publications

Research on Early Warning for Gas Risks at a Working Face Based on Association Rule Mining

Research on Early Warning for Gas Risks at a Working Face Based on Association Rule Mining

Characteristics of new permanent magnetic eddy current drive system of the scraper conveyor

Seismic Response Analysis of Deep Underground Roadways and Coal Pillars under the Influence of the Adjacent Goaf

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