Abstract
Taking the dynamic time series data of gas emission in mining face as the research object, the early warning model of coal and gas outburst was established based on single-time gas emission information function. Based on the data of 21118 heading face before outburst of Panyi Mine in Huainan, the single-time gas emission information function diagram was drawn, named as G-line diagram in short. The result showed that during normal production period, the entity of G-line diagram was small, which was close to a stable horizontal line. And before the outburst, the G-line diagram showed an upward trend. The negative and positive entity of G-line diagram became larger. At the same time, there were many times positive lines in the process of rising. According to the different shape, colour, length and other characteristics of G-line diagram, the change trend of coal body state in front of working face can be judged. Based on that, the outburst symptoms in the incubation stage of coal and gas outburst can be identified, and the early warning of outburst can be realized. It is of great significance to ensure the safety of mine production.
Highlights
The coal industry is a high-risk industry fighting against water, fire, gas, ground temperature, coal dust and roof disasters
By the end of 2020, more than 20000 coal and gas outbursts have occurred in China's mines
There is a similar functional relationship between cause and result. It provides the possibility for using causal relationship to establish model for coal and gas outburst early warning
Summary
The coal industry is a high-risk industry fighting against water, fire, gas, ground temperature, coal dust and roof disasters. Among all kinds of natural disasters in mines, coal and gas outburst is serious. By the end of 2020, more than 20000 coal and gas outbursts have occurred in China's mines. A large number of coal and rock flow caused by outburst will destroy roadway support, ventilation facilities and production equipment; on the other hand, it will bury people, suffocate people and even lead to gas explosion accidents, which seriously threaten the safety of workers. Whether the gas emission rises or fluctuates, it is the precursor information of outburst danger [2,3,4,5]. Based on the data sequence of gas emission from monitoring system, the precursor information of gas outburst can be mined. The future state of coal body can be identified, too
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