A coal mine rockburst detection method

Abstract

The invention relates to a coal mine rock burst detection method, which specifically includes coal mine rock burst early warning detection, coal mine rock burst dangerous area division and coal mine rock burst segmentation. The invention installs a mine vibration detector and a microseismic detection system in advance in the mine to carry out early warning detection of the rock burst in the coal mine, and then divides the dangerous area of ​​the coal mine rock burst to accurately detect the dangerous area, and then carries out the coal mine impact The ground pressure is divided to cut off the energy-gathering rock formation in the mining area, so that the energy can be fully released during the blasting process and the safety of mining can be improved. The invention carries out early warning, detection and division and danger treatment on coal mine rock burst, thereby making mine mining more accurate and safe.

Description

technical field [0001] The invention relates to a detection method, in particular to a coal mine rock burst detection method. Background technique [0002] The coal industry is the basic industry of our country. Its healthy, stable and sustainable development is a major issue related to the national energy security. However, the number of mine wells and the total number of rock bursts did not decrease. Especially in the eastern mines, there are not a few mines with a depth of 1,000 meters, and there will be more and more mines. From the perspective of coal mining practice, the number of rock burst mines will gradually increase, and rock burst disasters will become more serious. If the pressure in the coal and rock mass exceeds the strength limit of the coal and rock mass, the energy accumulated in the coal and rock mass around the roadway or stope will be released suddenly, and an explosive accident will occur in the roadway. Sound is a kind of mine earthquake induced by m...

AI Technical Summary

Problems solved by technology

The existing method is to infer whether there is a risk of impact based on the magnitude of the stress, but there is no direct relationship between the magnitude of the stress and the risk of impact, so this method has great limitations and low accuracy

At the same time, the existing methods lack early warning means, and cannot detect problems in time, resulting in serious losses.