Method for dynamic prediction of coal mine gas emission amount based on GIS

Abstract

The invention discloses a method for dynamic prediction of coal mine gas emission amount based on GIS. The method uses the GIS as a platform, and on the basis of coal mine gas geological dynamic analysis, combining with high negative pressure and low negative pressure gas extraction data of a working face, a different-source prediction method is used to dynamically predict coal-mass gas emission amount in front of a coal mine excavation working face. The method gives full consideration on influence of gas geologic dynamic variation and high and low negative pressure gas extraction on gas emission prediction, and the gas emission different-source prediction method and a gas geologic data model processed by rasterization by the GIS platform are organically combined, dynamic prediction of mine gas emission amount is realized, and prediction precision is improved, and the method is beneficial for prevention and cure of mine gas disasters.

Description

technical field [0001] The invention belongs to the technical field of coal mine safety, and in particular relates to a GIS-based dynamic prediction method for coal mine gas emission. Background technique [0002] my country is the largest coal-producing country in the world, and the dominant position of coal resources in my country's energy structure will be difficult to change for a long period of time. At the same time, my country is also one of the countries with serious coal mine gas disasters. There are many coal and gas outburst mines and high gas mines, and they are widely distributed; especially with the increase of mining depth, the difficulty of gas control is gradually increasing. In recent years, accidents such as gas explosions caused by gas gushing out of coal mines have been on the rise, especially when coal seams are mined at close distances, and are likely to cause major accidents such as abnormal gas gushing and group deaths and injuries. Therefore, effect...

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Problems solved by technology

[0003] At present, the prediction of gas emission in coal mines usually adopts the separate source prediction method (AQ1018-2006) and the method of mine statistics. Using manual and parameter average value calculations, there is a static disadvantage that the gas emission cannot be updated in time with the progress of the "pumping, excavation, mining" process of the working face; in recent years, some scholars have also carried out dynamic prediction of gas emission Exploration, such as using neural network, gray model and other methods to dynamically predict gas gushing, but there are defects such as complicated model selection, inability to reflect gas geological dynamic information and working face mining information in a timely manner, and the dynamic prediction method is still in the exploratory stage

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