underground coal mine
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2021 ◽  
Vol 6 (4) ◽  
pp. 241-251
Author(s):  
Q. L. Nguyen ◽  
Q. M. Nguyen ◽  
D. T. Tran ◽  
X. N. Bui

The paper is devoted to studying the possibility of using artificial neural networks (ANN) to estimate ground subsidence caused by underground mining. The experiments showed that the most suitable network structure is a network with three layers of perceptrons and four neurons in the hidden layer with the back propagation algorithm (BP) as a training algorithm. The subsidence observation data in the Mong Duong underground coal mine and other parameters, including: (1) the distance from the centre of the stope to the ground monitoring points; (2) the volume of mined-out space; (3) the positions of the ground points in the direction of the main cross-section of the trough; and (4) the time (presented by cycle number), were used as the input data for the ANN. The findings showed that the selected model was suitable for predicting subsidence along the main profile within the subsidence trough. The prediction accuracy depended on the number of cycles used for the network training as well as the time interval between the predicted cycle and the last cycle in the training dataset. When the number of monitoring cycles used for the network training was greater than eight, the largest values of RMS and MAE were less than 10 % compared to the actual maximum subsidence value for each cycle. If the network training was less than eight cycles, the results of prediction did not meet the accuracy requirements.


2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Cao Khai NGUYEN ◽  
Van Thinh NGUYEN ◽  
Phi Hung NGUYEN ◽  
Van Quang NGUYEN

In the process of underground mining, the mining system changes for various reasons. One ofthe main reasons is changes in the mining production plans, especially the scales and outputs. Nowadays,coal mines in Vietnam have been expanding in width and depth, and so have the mines’ ventilationsystems. Consequently, there will be changes in the alteration of the structure of the design ventilationsystem, which reduces the effectiveness of the ventilation and does not meet the main objective of mineventilation, directly affect the safety of the working environment in the mine. Therefore, it is necessary toresearch the improvement of the ventilation system with the development and specific conditions ofunderground coal mines in Vietnam, improving the efficiency of the ventilation work and assuring thesafety of the mine environment. Cam Thanh coal mine, Ha Long coal company, Vietnam, is the case studyfor this research. The article considers the plan of increases the mining output by more than 1.5 times,propose solutions to improve the ventilation system accordingly, helping the company proactivelyimplement the production plan, ensure the working environment's safety, and reduce the costs of mineventilation.


Data in Brief ◽  
2021 ◽  
Vol 39 ◽  
pp. 107457
Author(s):  
Michał Kozielski ◽  
Marek Sikora ◽  
Łukasz Wróbel

Author(s):  
Dao Van Chi ◽  
Dung Le Tien ◽  
Xuan Ha Tran

Determining a proper operation mode of the main ventilation fan at an underground coal mine primarily uses the theoretical characteristic curves of the fan’s manufacturer. Because these curves are developed in laboratory-standard conditions, the characteristic curves under different conditions in practice significantly change, seriously impacting the ventilation efficiency and environmental safety of mine. This paper presents a determination of the main fan's actual characteristic curve using a field measurement method. The method involves the (i) simultaneous measurement of airflow and air pressure at designated locations in fan drift and ventilation crosscut and (ii) statistical analysis and interpolation of the measured data. The results show that the fan actual pressure curve is permanently displaced to the left and steeper than the corresponding theoretical pressure curve in an on-site operating mode. The finding points out that on-site fans operate in overload mode that can quickly damage their mechanical components. This method provides mining engineers with an easy-to-apply tool for proper adjustment of the operation mode. This improves ventilation efficiency, increases environmental safety, and reduces the underground coal mine operational costs.


Author(s):  
Ali Gul ◽  
Waheed Noor ◽  
Junaid Babar ◽  
Ali Nawaz ◽  
Syed Owais Athar

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