Abstract
Coal and gas outburst is one of the major disasters in the safety production of coal mine. According to the mechanism of coal and gas outburst, based on the comprehensive analysis of various influencing factors of coal and gas outburst, with the principles of selected early warning indicator, the basic information database of coal and gas outburst warning is constructed, and the information data query function is realized. The mathematical model of coal and gas outburst warning is established by the logistic regression analysis based on the gas concentration, the gas desorption index of drill cuttings, and the initial velocity of gas emission from the borehole. The multivariate information coupled warning was conducted according to the selected early warning indicator system, and the early warning level was divided with the result of early warning. The design and research of the coal and gas outburst warning system are carried out based on the geographic information system (GIS). The coal and gas outburst warning system was verified by taking the Tunliu mine of Lu’an Group as an example. The establishment of the early warning system is a new technical way to the early warning management of coal and gas outburst and can provide a guarantee for coal and gas outburst prevention.
Highlights
Coal and gas outburst is an extremely complex dynamic phenomenon in the process of coal mining [1]
Coal and gas outburst is the result of various factors, such as ground stress, coal seam gas, and physical and mechanical properties of coal [2, 3]
A lot of research work has been conducted in mine and gas outburst prediction and warning [4,5,6]. e prediction of coal and gas outburst is based on the process of understanding coal and gas outburst and its influencing factors
Summary
Coal and gas outburst is an extremely complex dynamic phenomenon in the process of coal mining [1]. Coal and gas outburst is the result of various factors, such as ground stress, coal seam gas, and physical and mechanical properties of coal [2, 3]. E coal and gas outburst is controlled by the combination of ground stress, coal seam gas, and physical properties of coal [9, 10]. In the process of outburst disaster development, the influence degree of each factor is different, so the traditional single factor prediction method is difficult to meet the needs of production. Ere are complex nonlinear relationships among influencing factors of coal and gas outburst. Erefore, the development of logistic and GIS multi-information coupling monitoring and early warning index system provides a new forecasting method for the prediction of coal and gas outburst Logistic and GIS analysis methods have strong nonlinear approximation ability and have the function of real-time regional prediction. erefore, the development of logistic and GIS multi-information coupling monitoring and early warning index system provides a new forecasting method for the prediction of coal and gas outburst
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