Abstract
The risk of gas disaster in the low-gas tunnel is easy to be ignored. By tracking and analyzing the gas monitoring data of the low-gas tunnel, it is found that the cyclic abnormal gas emission occurred many times during the construction period, leading to local gas accumulation, which greatly increases the risk of gas explosion accidents. To scientifically predict the abnormal gas emission in low-gas tunnels, the idea of K-line diagram-based prediction of abnormal gas emission in low-gas tunnels is put forward, and in combination with the field monitoring data of low-gas tunnel (Huangguashan Tunnel), the prediction results with different prediction indexes of K-line diagram are compared and analyzed. The results show that the K-line diagram can reflect the changing trend of gas concentration in real time accurately and show the change law of gas concentration during different construction processes; the moving average (MA) of the K-line diagram can accurately reflect the time of abnormal gas emission, the moving average convergence divergence (MACD) index can reflect the upward or downward power and trend of gas, and the Bollinger Band (BOLL) index can reflect the fluctuation range of gas concentration. The research results can provide a reference for the prediction and prevention of abnormal gas emission in low-gas tunnels.
Highlights
Gas is one of the important disaster factors of gas tunnels
In case of abnormal gas emission during low-gas tunnel construction, local gas overrun and accumulation will occur, which will greatly increase the risk of gas explosions and other disasters, and seriously threaten the safety of tunnel construction [1,2,3]
When the gas concentration is greater than 0.5%, both the “yellow line” and “green line” turn red, which can express the situation of gas concentration overrun more intuitively In Figure 4, except for the small fluctuation of gas concentration in the blasting stage, the gas concentration in other stages is consistent with the actual situation in the previous section, indicating that it is feasible to express the change of gas concentration with the K-line diagram
Summary
Gas is one of the important disaster factors of gas tunnels. The gas emission quantity and gas content of exposed coal seam in low-gas tunnels are low, which leads to the risk of gas disaster underestimated during the construction period. Scientific prediction of abnormal gas emission in low-gas tunnels can provide important early-warning information for gas disaster prevention and control and help to take targeted measures to intervene and reduce the probability of gas explosion and other disaster accidents. The K-line diagram based on time series can weaken the influence of objective factors such as geological conditions and external disturbances and scientifically and reasonably analyze the gas monitoring information and identify the hidden gas disaster characteristics. The introduction of the K-line diagram analysis method into tunnel gas data analysis allows us to analyze and study the changing trend of gas concentration from different angles, which is helpful to the study of gas emission law. This paper puts forward the idea of the K-line diagram-based prediction of abnormal gas emission in low-gas tunnels and forecasts and analyzes the gas emission in low-gas tunnels, to reduce the possibility of gas disasters
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