Mine dynamic disaster real-time monitoring and early warning method based on three-field comprehensive parameters

Abstract

The invention discloses a mine dynamic disaster real-time monitoring and early warning method based on three-field comprehensive parameters. A monitoring area is divided into a plurality of monitoring units with regular sizes; selecting and installing an intelligent seismic source and a seismic sensor in a monitoring area; determining a monitored sampling interval; micro-seismic generated by nonstandard rock stratum changes is used as an auxiliary seismic source, and a three-dimensional seismic full-wave imaging technology is combined to invert a speed model of a monitoring area; mechanical parameters, resistivity and temperature values are determined; calculating a three-field comprehensive index of time and moment in each monitoring unit; calculating a long-term average value; calculating a short-term average value; comparing the short-term average value with the long-term average value to determine the type of the dynamic disaster; determining a final alarm level according to the distance between the three comprehensive parameter early warning units and the mining project; and displaying a final alarm level and a potential disaster type, and giving an optimal processing scheme and basis. According to the method, the mine dynamic disaster can be early warned more accurately, and sufficient processing time and an effective solution can be provided for disaster processing.

Description

technical field [0001] The invention belongs to the technical field of coal mine safety production, and in particular relates to a real-time monitoring and early warning method for mine dynamic disasters based on three-field comprehensive parameters. Background technique [0002] In recent years, with the increase of coal mining depth and the high modernization of mining equipment, the development of coal resources will face a series of problems and difficulties that have not been encountered in shallow mining. new and higher requirements. With the increase of mining depth and intensity, the number of mines, accident frequency and damage intensity of dynamic disasters also increase. Among them, water inrush, coal and gas outburst and rock burst are the most important coal mine dynamic disasters, with sudden, It has the characteristics of sharpness and violence, the degree of harm is large, the impact is wide, and it is easy to induce other major accidents. Coal mine dynami...

AI Technical Summary

Problems solved by technology

Therefore, the current detection and early warning technology of coal mine dynamic disaster factors is not mature enough, and the detection accuracy and early warning technology cannot fully meet the needs of safe and efficient production in coal mines. It is a passive monitoring method and cannot really provide early warning. the goal of

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