scholarly journals Research and application of coal and gas outburst early warning system based on gas geological features

2021 ◽  
Vol 329 ◽  
pp. 01086
Author(s):  
Yunlong Zou
Keyword(s):  
Coal Seam ◽  
Coal Mine ◽  
Early Warning ◽  
Early Warning System ◽  
Coal Mines ◽  
Warning System ◽  
Geological Structure ◽  
Gas Outburst ◽  
Coal And Gas Outbursts ◽  
Gas Disasters

The geological structure of coal mines has always been a dangerous object of attention in coal mine outburst prevention work. In order to realize coal mine safety information management and early warning of gas disasters, comprehensive use of gas geological theory, coal mine disaster warning theory, computer information technology and other analysis methods, considering the influence of geological structure, coal seam occurrence parameters, and gas parameters, an early warning indicator system for identifying the risk of coal and gas outbursts reflecting the geological characteristics of gas has been constructed. The coal and gas outburst risk identification and early warning system is constructed using the principle of multi-index step-by-step identification and extreme value determination, and it is applied on-site in the 3303 Measure Lane in the East Shaft Area of Sihe Mine. The research results show that the constructed early warning system can provide accurate early warning for the area (belt) affected by the geological structure by 10m, and can provide accurate early warning of coal and gas outbursts based on the outburst signs of gas geology such as the thickness of soft layers and changes in coal seam thickness. This technology provides effective support for coal mines to effectively prevent gas disasters and ensure coal mine production safety.

scholarly journals Construction and application of comprehensive early warning system for coal and gas outburst in Xinjing Coal Mine

2021 ◽  
Vol 329 ◽  
pp. 01016
Author(s):  
Yunlong Zou
Keyword(s):  
Real Time ◽  
Coal Mine ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Coal Industry ◽  
Coal And Gas Outburst ◽  
Mine Safety ◽  
Time Dynamic ◽  
Gas Outburst

In order to further strengthen the prevention and control of coal and gas outburst in Xinjing Coal Mine, the online comprehensive analysis and early warning index system and rules of coal and gas outburst suitable for Xinjing Coal Mine were studied. Based on the corresponding early warning computer system and guarantee mechanism, a comprehensive early warning system for coal and gas outbursts in Xinjing Coal Mine was established, realizing real-time intelligent early warning of outburst dangers in working faces. The system realizes the standardization and dynamic management of outburst prevention information at the working face, as well as the real-time dynamic update and sharing of outburst prevention information, which improves the efficiency of mine outburst prevention management and the level of mine safety. The actual application of the system in Xinjing Coal Mine shows that the system can provide an effective reference for the comprehensive early warning of outbursts in other outburst mines of Yangquan Coal Industry Group.

Smart safety early warning system of coal mine production based on WSNs

2020 ◽  
Vol 124 ◽  
pp. 104609 ◽  
Author(s):  
Kansong Chen ◽  
Chenqi Wang ◽  
Liangqing Chen ◽  
Xinxin Niu ◽  
Yan Zhang ◽  
...  
Keyword(s):  
Coal Mine ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Mine Production ◽  
Smart Safety

Study on early warning system of coal and gas outburst

2013 ◽  
Author(s):  
Liu Xianglan ◽  
Hu Qianting ◽  
Zhao Xusheng ◽  
Dong Guigang
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Coal And Gas Outburst ◽  
Gas Outburst

Hazard identification and early warning system based on stochastic forest algorithm in underground coal mine

2021 ◽  
pp. 1-10
Author(s):  
Yifan Zhao ◽  
Shuicheng Tian
Keyword(s):  
Coal Mine ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Test Sample ◽  
Hazard Identification ◽  
Underground Coal Mine ◽  
Identification Error ◽  
Warning Response ◽  
Decision Forest

Aiming at the problem of large error and long time of early warning response in the traditional system, this paper designs a hazard identification early warning system based on random forest algorithm in underground coal mine. By random classification decision forest created dangerous content in different areas of the downhole information input into the decision tree as a test sample, according to the result of the output of the leaf node determine the risk level of decision trees, and USES the high precision of decision forest classification ability the threat level assessment test sample, radically reducing hazards identification error. Then, based on the evaluation results, combined with the threshold value of warning criteria to identify the gas exceeding limit area, and determine the fire source warning level, so as to realize the hazard source identification and warning. The simulation results show that the average hazard location identification error of the system is only 4.1%, and the warning response time can be controlled within 9 s.

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