A multi-parameter dynamic trend early warning method for rock burst

Abstract

The invention provides a multi-parameter dynamic trend early warning method of rock burst, belonging to the technical field of underground excavation engineering and coal rock dynamic disaster early warning. The method includes: according to the real-time monitoring data of the on-site microseismic monitoring system, using the Mann-Kendall trend test method to describe the change trend of the "time-space-strong" multivariate precursory early warning indicators in the process of rockburst gestation and evolution. According to the pre-warning rule of the rockburst precursor, the early warning is carried out; the early warning efficiency of each index is evaluated; the index is optimized based on the principle of maximizing early warning efficiency; the early warning efficiency corresponding to the optimized index is used as the weight to carry out multi-index fusion to obtain the comprehensive shock risk comprehensive abnormal index; The comprehensive anomaly index of impact risk is compared with the corresponding quantitative grading standard to determine the impact risk level; the index selection and weight update are carried out regularly driven by the actual monitoring data on site. The invention can provide efficient and accurate decision-making basis for prevention and control of downhole rock burst.

Description

technical field [0001] The invention relates to the technical field of underground excavation engineering and coal and rock dynamic disaster early warning, in particular to a multi-parameter dynamic trend early warning method of rock burst. Background technique [0002] Rockburst is one of the main dynamic disasters affecting underground production in coal mines, often causing serious consequences such as casualties and major property losses. In recent years, with the depletion of shallow mineral resources, coal mining continues to expand deep into the earth, the coal seam structure of the stope and the occurrence conditions of surrounding rocks around the roadway have become increasingly complex, and the internal dynamic response characteristics of the coal and rock mass have become more intense, resulting in shock The frequency of ground pressure accidents is rising rapidly, and accurate and efficient monitoring and early warning methods for this disaster are the key to en...

AI Technical Summary

Problems solved by technology

However, the judgment of the change trend of the early warning indicators of the shock risk precursor depends on manual experience, which is inefficient and not reliable. At the same time, because the dimensions reflected by each early warning index on the evolution process of rock burst are different, the results may conflict with each other. Misjudgment of the actual dangerous state by the relevant personnel

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