Method for predicting coal and gas outburst based on cumulative transient characteristics of gas monitoring data

Abstract

The invention relates to a method for predicting coal and gas outburst by accumulating transient characteristics of gas monitoring data, belonging to the technical field of coal mine safety. The method is as follows: divide the gas monitoring data of the working face into N shifts according to the underground operation time, and obtain the minute mean value of gas monitoring; calculate the mode X of the gas monitoring data of the i-th shift i or median Y i , calculate the instantaneous change y of gas monitoring data within the i-th shift i,j ;Get the instantaneous change y of the shift gas monitoring data i,j Absolute value; calculate the cumulative amount of instantaneous change of the gas monitoring data of the shift; obtain the 1-5th smallest instantaneous change of the gas monitoring data of the shift; calculate the characteristic index P of the transient accumulation of the gas monitoring data of the i-th shift i ; Calculate the relative instantaneous cumulative change characteristic index PH of the gas monitoring data of the i-th shift i ; when P i , PH i When larger or larger, there is a gas hazard on the working face. The present invention has great significance for using monitoring data to warn working face gas disaster.

Description

technical field [0001] The invention belongs to the technical field of coal mine safety, and relates to a method for predicting coal and gas outbursts by accumulating transient characteristics of gas monitoring data. Background technique [0002] Before most outburst accidents, gas gushing shows a certain abnormal phenomenon, but the change of abnormal phenomenon is often affected by the underground production operation process, stress activity state, and coal quality changes, resulting in certain differences in the identification criteria for gas gushing abnormality. . In recent years, the gas gushing anomaly analysis method headed by the gas gushing volume characteristic index A and the gas desorption characteristic index B has achieved certain success in industrial applications. The application effect of the A index has obviously surpassed other indicators, but the B index There are some deficiencies in the analysis of gas gushing and desorption characteristics, which ma...

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Problems solved by technology

[0002] Most of the outburst accidents before the gas gushing show certain abnormal phenomena, but the changes of the abnormal phenomena are often affected by the underground production operation process, stress activity state, and coal quality changes, resulting in certain differences in the identification standards of gas gushing abnormalities

In recent years, the gas emission anomaly analysis method headed by the gas emission characteristic index A and the gas desorption characteristic index B has achieved certain success in industrial applications. The application effect of the A index has obviously surpassed other indexes, but the B index There are certain deficiencies in the analysis of gas gushing desorption characteristic changes, which mainly include the flaws in the calculation method and the advanced nature of the alarm

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