Coal and gas outburst hazard early warning system and early warning method

Abstract

The invention relates to the field of coal mine safety technique, specifically to a down-hole coal and gas outburst hazard early warning system and early warning method. The coal and gas outburst synthesized early-warning system, uses the existing local area network to connect a synthesized early-warning data server, an early-warning data management system and the existing coal mine safety monitoring system; analyzes the coal and gas outburst early-warning data in the synthesized early-warning data server by an outburst early-warning module; and emits early-warning information based on the analyzed result. The inventive coal and gas outburst synthesized early warning system and early warning method can perform centralized management and comprehensive analysis of the geological structure, coal seam occurrence, gas occurrence, mining production, daily forecast indicators, outburst forecast, gas emission and other security information that originally scatter in various functional sections of coal mine on the geographical information system GIS platform, integrates the existing resources, improves the accuracy of early warning, so that the early warning is both real-time and forward-looking, and can effectively prevent the occurrence of coal and gas outburst in coal mine.

Description

technical field [0001] The invention relates to the technical field of coal mine safety, in particular to an early warning system and an early warning method for underground coal and gas outburst disasters. Background technique [0002] Coal and gas outburst (hereinafter referred to as "outburst") is an extremely complex dynamic phenomenon that occurs underground in coal mines. Gas, which produces dynamic effects such as overturning mine cars, destroying supports, and causing roadway wind flow reversal, often damages underground facilities and ventilation systems, and easily causes casualties such as coal burial personnel, gas suffocation, and gas explosions. serious threat. my country is one of the countries with the most serious outburst disasters in the world. There are many outburst mines, wide distribution areas, many outburst accidents, high intensity, and many casualties. Key research content. After decades of research and practice, my country has formed a set of "f...

AI Technical Summary

Problems solved by technology

However, the current outlier prediction methods and indicators have the following main deficiencies: ①The commonly used outlier prediction methods are static in time and discontinuous in space, and cannot predict the outlier risk in real time and continuously; ②The outlier risk is It is determined according to the measured individual predictive index values. However, most of the commonly used predictive indexes are indirect and partial reflections of the three major factors that affect the outstanding risk (the stress on the coal body, the occurrence of gas, and the physical and mechanical properties of the coal). There are still certain limitations in the objective indicators; ③The commonly used forecasting methods are mostly to predict the state of outstanding risk, without considering the development trend of the risk, which is not conducive to taking measures in advance; ④The commonly used forecasting methods are generally only based on the measurement indicators The size of the gas is simply determined without dynamically considering the gas geological conditions around the working face, the mining layout, the implementation of outburst prevention technical measures, the gas gushing out of the working face, the outburst omen, and the changes in daily outburst risk prediction indicators. etc., highlighting that the prediction accuracy rate needs to be improved; ⑤The prediction results are generally divided into two types: dangerous and non-dangerous. When there is danger, the danger level cannot be given

[0004] At present, most coal and gas outburst mines in my country have installed coal mine safety monitoring systems (such as KJ90 comprehensive coal mine safety monitoring system, KJ101 mine monitoring system, KJ95 coal mine monitoring and monitoring system, KJF2000 mine safety production comprehensive monitoring system, etc.), However, there is almost no in-depth analysis of the monitoring data to achieve outstanding predictions, and the role of the monitoring system has not been fully utilized

With the development of information technology, most coal mines have established their own coal mine local area network, which can realize the sharing of some safety information. It is still very lacking in sharing, which is not conducive to outstanding comprehensive analysis and early warning

In terms of mine map drawing, most mines use CAD drawing, but this electronic mine map cannot meet the needs of digitization. At present, some software companies have developed mine map drawing based on geographic information system (GIS) The system has been promoted and applied in some mines, laying the foundation for the digitalization and informatization of mines, and also providing conditions for the research and development of coal and gas outburst early warning technology

[0005] At present, my country has not yet established an early warning system for coal and gas outburst, and the research on outburst early warning methods has just begun

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