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.

scholarly journals Study on Early Warning System of Coal and Gas Outburst

2013 ◽  
Vol 7 (1) ◽  
pp. 116-122 ◽  
Author(s):  
Xianglan Liu ◽  
Xusheng Zhao ◽  
Qinghua Zhang
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Local Area Network ◽  
Warning System ◽  
Implementation Process ◽  
Local Area ◽  
Coal And Gas Outburst ◽  
Mine Safety ◽  
Area Network ◽  
Gas Outburst

Coal and gas outburst is an extremely complex and serious gas dynamic phenomenon. Therefore, building an early warning system based on computer system, safety monitoring systems of coal mines and local area network is a precondition for effectively preventing coal and gas outburst. The early warning system for coal and gas outburst is a complicated system project and has blended together the coal mine safety theory, the information technology and the early warning technology. Combining the hardware conditions, organization management structures and characteristics of preventing outburst technology systems, this paper discusses the principle, logic structure and implementation process of gas outburst warning, devises the software and hardware structure of the warning system and therefore offers theoretical thought and methods for the forecasting of coal and gas outburst.

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

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.

Study on early Warning System of Coal and Gas Outburst

2013 ◽  
Vol 694-697 ◽  
pp. 1146-1150
Author(s):  
Xiang Lan Liu ◽  
Xu Sheng Zhao ◽  
Gui Gang Dong
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Local Area Network ◽  
Warning System ◽  
Implementation Process ◽  
Local Area ◽  
Coal And Gas Outburst ◽  
Area Network ◽  
Organization Management ◽  
Gas Outburst

Coal and gas outburst is an extremely complex and serious gas dynamic phenomenon. Therefore, building an early warning system based on computer system, safety monitoring systems of coal mines and local area network is a precondition for effectively preventing coal and gas outburst. Combining the hardware conditions, organization management structures and characteristics of preventing outburst technology systems, this paper discusses the principle, logic structure and implementation process of gas outburst warning, devises the software and hardware structure of the warning system and therefore offers theoretical thought and methods for the forecasting of coal and gas outburst.

A Reliability-Based Early Warning System for Real-Time Monitoring on RC Buildings

2012 ◽  
Vol 446-449 ◽  
pp. 3422-3427
Author(s):  
Wang Sheng Liu ◽  
Ming Zhao
Keyword(s):  
Probability Distribution ◽  
Real Time ◽  
Early Warning ◽  
Early Warning System ◽  
Limit State ◽  
Warning System ◽  
State Function ◽  
Real Time Monitoring ◽  
Rc Buildings ◽  
Load Effect

Today there is an urgent need for effective monitoring whether for old buildings or new ones. While conventional early warning system for real-time monitoring is based on safety factor, this paper proposes a new reliability-based framework to monitor the safety of RC buildings probabilistically. The framework includes modeling resistance, predicting probability distribution of load effect, calculating reliability and setting reliability index threshold. The in-situ test data enables to update the resistance model through a Bayesian process. Meanwhile, the observed monitoring data predicts the probability distribution of load effect. FORM is used to calculate the reliability because the limit state function for real-time monitoring is linear and simple. This study shows that the reliability-based early warning system is of more scientific sense in quantifying the safety and may be applied to many engineering fields.

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