Learning Predictive Models for Underground Coal Mine Environment Using Sensor Data

Author(s):  
Ali Gul ◽  
Waheed Noor ◽  
Junaid Babar ◽  
Ali Nawaz ◽  
Syed Owais Athar
Sensors ◽  
2017 ◽  
Vol 17 (10) ◽  
pp. 2426 ◽  
Author(s):  
Jingchao Zhao ◽  
Junyao Gao ◽  
Fangzhou Zhao ◽  
Yi Liu

2019 ◽  
Vol 37 (2) ◽  
pp. 593-604 ◽  
Author(s):  
Gopi Bylapudi ◽  
A. J. S. (Sam) Spearing ◽  
Kanchan Mondal ◽  
Anand Bhagwat

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.


2012 ◽  
Vol 58 (3) ◽  
pp. 31-38
Author(s):  
Lukáš Otte ◽  
Vladislav Vančura ◽  
Roman Danel ◽  
Michal Řepka

Abstract Underground coal mine environment is an environment with dynamic manifestations of methane. In this environment it is quite difficult to control various technological processes occurring therein. The technological process of collapse preventing inertisation is carried out by supply of compressed nitrogen to areas at risk of spontaneous combustion of coal. Petri nets allow the modelling of parallel dynamic systems and systems with discrete time. In conjunction with the software HPSim or WinPeSim, the individual processes can be modelled and then the results processed using a spreadsheet (Excel). Based on the results of the performed simulations, it is then much easier to determine the optimal solution or decision


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