scholarly journals Adaptation of Coal Mine Floor Rating (CMFR) to Eastern U.S. Coal Mines

2020 ◽  
Author(s):  
Sena Cicek
Keyword(s):  
Coal Mine ◽  
Coal Mines ◽  
Mine Floor

A hybrid NRS- CART algorithm and its application on coal mine floor water-inrush prediction

2015 ◽  
Author(s):  
Fenglian Li ◽  
Xueying Zhang ◽  
Chunlei Du ◽  
Lixia Huang
Keyword(s):  
Coal Mine ◽  
Water Inrush ◽  
Floor Water Inrush ◽  
Cart Algorithm ◽  
Mine Floor

A new risk zoning method for water inrush from separated layers at coal mines: a case study, Cuimu coal mine, China

2021 ◽  
Vol 14 (23) ◽  
Author(s):  
Mengnan Liu ◽  
Wei Qiao ◽  
QiangQiang Meng ◽  
Zhongguo Bu
Keyword(s):  
Coal Mine ◽  
Water Inrush ◽  
Coal Mines ◽  
Risk Zoning

scholarly journals Methane Content Estimation in DuongHuy Coal Mine

2018 ◽  
Vol 35 ◽  
pp. 01005 ◽  
Author(s):  
Van Thinh Nguyen ◽  
Waldemar Mijał ◽  
Vu Chi Dang ◽  
Thi Tuyet Mai Nguyen
Keyword(s):  
Experimental Data ◽  
Coal Mining ◽  
Coal Mine ◽  
Coal Mines ◽  
Methane Content ◽  
Underground Coal Mining ◽  
Coal Seams ◽  
Underground Coal Mine ◽  
Different Depths ◽  
Quang Ninh

Methane hazard has always been considered for underground coal mining as it can lead to methane explosion. In Quang Ninh province, several coal mines such as Mạo Khe coal mine, Khe Cham coal mine, especially Duong Huy mine that have high methane content. Experimental data to examine contents of methane bearing coal seams at different depths are not similar in Duong coal mine. In order to ensure safety, this report has been undertaken to determine a pattern of changing methane contents of coal seams at different exploitation depths in Duong Huy underground coal mine.

scholarly journals Stress Distribution Around Mechanized Longwall Face at Deep Mining in Quang Ninh Underground Coal Mine

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Manh Tung BUI ◽  
Tien Dung LE ◽  
Trong Hung VO
Keyword(s):  
Stress Distribution ◽  
Sea Level ◽  
Coal Mine ◽  
Coal Mines ◽  
Longwall Face ◽  
Geological Condition ◽  
Deep Mining ◽  
Roof Fall ◽  
The Impact ◽  
Quang Ninh

Quang Ninh underground coal mines are currently in the phase of finishing up the mineralreserves located near the surface. Also, in this phase, a number of coal mines have opened and preparednew mine sites for the extraction of the reserves at greater depth. Several mines have mined at -350 mdepth and are driving opening excavations at -500 m depth below sea level. The mining at greater depthfaces many difficulties, such as a significant increase in support and excavation pressures. The longwallface pressure is mostly manifested in great magnitude that causes support overloaded and jumped andface spall/roof fall. This paper, based on the geological condition of the Seam 11 Ha Lam coal mine,uses the numerical program UDEC for studying the impact of mining depth on stress distribution aroundthe longwall face. The results show that the deeper the mining is, the greater the plastic deformationzone is. The peak front abutment stress moves closer to the coal wall, mainly concentrating on theimmediate roof and top coal. The top coal is greatly broken, and its bearing capacity is decreased. Somesolutions to the stability of roof strata are proposed, and a proper working resistance of support isdetermined. Additionally, the paper suggests that the starting depth for deep mining in Quang Ninhunderground coal mines should be -350 m below sea level.

Research on the Strategy of Multi Sensor Information Fusion in Coal Mine Disaster Scene

2012 ◽  
Vol 220-223 ◽  
pp. 1929-1933
Author(s):  
Yu Qing Wang ◽  
Yu Xin Qin ◽  
Zhi Guo Li ◽  
Le Deng
Keyword(s):  
Information Fusion ◽  
Coal Mine ◽  
Coal Mines ◽  
Outburst Flood ◽  
Roof Collapse ◽  
Gas Outburst ◽  
Different Types ◽  
Sensor Information

Different types of disasters occur frequently in coal mines. This paper analyzed the characteristics of different disasters, chosen the corresponding sensors to collect the information of disaster scene, and discussed the methods of multi sensor information fusion. Lastly, the multi-sensor information fusion strategies for fire, gas outburst, flood, and roof collapse were proposed in this research.

On Miner's Location in Underground Mines

2021 ◽  
pp. 80-83
Author(s):  
A.V. Novikov ◽  
K.V. Panevnikov ◽  
I.V. Pisarev
Keyword(s):  
Coal Mine ◽  
Coal Mines ◽  
Underground Mines ◽  
Mine Safety ◽  
National Standard ◽  
Positioning Systems ◽  
Safety Requirements ◽  
Safety Regulations ◽  
Mining Safety ◽  
Safety Systems

To ensure industrial and mining safety the established safety rules for coal mines envisage the use of a number of complexes and systems, combined into multifunctional safety systems. These automated systems provide for people to be involved in the management of technological processes. The purpose of this paper is to assess how the coal mine safety requirements are aligned with other regulatory documents as they apply to modern safety systems in coal mines. To achieve this goal, the personnel location (positioning) and emergency alert systems in coal mine workings are analyzed for compliance with the requirements of the national standard for multifunctional safety systems in coal mines. It is shown that the current requirements for positioning systems are met by systems that have high accuracy in determining the location coordinates of people. It is suggested that positioning systems of the zonal type should be either upgraded to increase the number of readout devices to bring them up to the requirements of safety regulations in coal mines or replaced.

Wireless Sensor Network

2017 ◽  
pp. 145-160 ◽  
Author(s):  
Pankaj Kumar Mishra ◽  
Pratik ◽  
Manish Kumar
Keyword(s):  
Wireless Sensor Network ◽  
Radio Frequency ◽  
Sensor Network ◽  
Coal Mine ◽  
Coal Mines ◽  
Wireless Sensor ◽  
Physical Parameters ◽  
Underground Coal Mine ◽  
Rf Signals ◽  
Underground Coal Mines

Wireless Sensor Network (WSN) has an enormous prospective in hazardous areas such as underground coal mines. However, there is a need to ensure safety while installing WSN in underground coal mine as it is hazardous in nature and WSN radiates Radio Frequency (RF) signals which can be an eminent source of ignition. Henceforth when the underground coal mines are equipped with WSN there is a need to set the threshold limits of different physical parameters in order to eradicate such hazards for enabling safety. Therefore, in the present chapter, attempts have been made to assess the required safety for WSN while installing in underground coal mines. In addition, various types of hazards associated with underground coal mines and their consequences are elaborated in details with a glimpse to mitigate them with the use of WSN.

scholarly journals Evaluating Targeted Intervention on Coal Miners’ Unsafe Behavior

2019 ◽  
Vol 16 (3) ◽  
pp. 422 ◽  
Author(s):  
Ruipeng Tong ◽  
Yanwei Zhang ◽  
Yunyun Yang ◽  
Qingli Jia ◽  
Xiaofei Ma ◽  
...  
Keyword(s):  
Coal Mine ◽  
Structural Equation ◽  
Positive Impact ◽  
Coal Mines ◽  
Evaluation Process ◽  
Behavior Intervention ◽  
Targeted Intervention ◽  
Intervention Effect ◽  
Unsafe Behavior ◽  
Mine Roof

Miners’ unsafe behavior is the main cause of roof accidents in coal mines, and behavior intervention plays a significant role in reducing the occurrence of miners’ unsafe behavior. However, traditional behavior intervention methods lack pertinence. In order to improve the intervention effect and reduce the occurrence of coal mine roof accidents more effectively, this study proposed a targeted intervention method for unsafe behavior. The process of targeted intervention node locating was constructed, and based on the analysis of 331 coal mine roof accidents in China, three kinds of targeted intervention nodes were located. The effectiveness of targeted intervention nodes was evaluated by using structural equation model (SEM) through randomly distributing questionnaires to miners of Pingdingshan coal. The results show that, in preventing roof accidents of coal mines, the targeted intervention nodes have a significant positive impact on the intervention effect. The method can also be applied to the safety management of other industries by adjusting the node location and evaluation process.

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