Multi-parameter comprehensive monitoring and early warning method for tunneling face

Abstract

The invention discloses a multi-parameter integrated monitoring and early-warning method for an excavation working face, and belongs to the field of coal mine dynamic disaster monitoring and early-warning. The method comprises the steps that 1, partitioned monitoring is performed on the excavation working face; 2, at least two of a coal bed stress monitoring system, a ground sound and microquake monitoring system and an anchor rod and anchor cable stress monitoring system are arranged in an excavation roadway; 4, certain weight is assigned to all monitoring and early-warning indexes, and accumulation is performed to obtain an integrated early-warning index. According to the multi-parameter integrated monitoring and early-warning method for the excavation working face, the thought of partitioned monitoring of the excavation working face is presented according to the excavation working face impact ground pressure occurrence mechanism, coupling is performed on the change conditions of all the monitoring indexes in the different partitions, and the multi-parameter integrated monitoring indexes serve as early-warning parameters to achieve integrated early-warning of the impact dangerousness of the excavation working face; the problem that in the prior art, the purpose of predicting the impact ground pressure dangerousness of the excavation working face only depending on a single-index monitoring method for the impact ground pressure of the excavation working face cannot be achieved is solved.

Description

technical field [0001] The invention relates to the field of coal mine dynamic disaster monitoring and early warning, in particular to a multi-parameter comprehensive monitoring and early warning method for an excavation working face. Background technique [0002] In recent years, rockburst accidents in excavation working face are common in mining, and some impact ranges reach more than 100m, resulting in roadway equipment damage, casualties, and huge losses to coal mines. Due to the rheological characteristics of coal and rock mass, it takes a certain period of time after the excavation of the working face to form a relatively stable area. In the actual process, due to the rapid excavation of the mine, after the mining space is formed, the inhomogeneity of the geological structure in the coal body and the unevenness of the stress distribution in the coal body will make it too late to fully release the stress accumulated in the coal body in front of the working face. The ex...

AI Technical Summary

Problems solved by technology

This method only monitors the vibration signal generated by the rupture, and the monitoring effect on the induced rock burst is better, and the monitoring effect on the spontaneous rock burst is poor.

[0008] At present, the comprehensive mechanized excavation speed is generally fast, and the amount of information on the surrounding rock rupture on site is insufficient. It is impossible to grasp the distribution of the surrounding rock active area and stable area of ​​the surrounding rock in the excavation roadway, and it is impossible to understand the degree of surrounding rock rupture and activity trend; the excavation space of the excavation working face Small, the stress disturbance area is relatively small, the stress transfer range is limited, and the change of the stress field that can be monitored is not large; after a certain distance is excavated in the roadway, it is impossible to know the surrounding rock support in real time, and there is a lack of information on the working status of the support structure and the bearing pressure. and the real-time evaluation of the safety of surrounding rock; the early warning indicators and criteria of various monitoring methods are relatively independent, and it is impossible to uniformly characterize the impact risk of the roadway, and it is also difficult to reveal the inner relationship between the indicators from the theory of mine pressure

[0009] For the early warning of rock burst disasters, the existing monitoring methods have their own shortcomings; in addition, the existing single monitoring method only monitors a certain phenomenon in the process of rock burst occurrence, and it is difficult to monitor indicators with only a single parameter. To achieve the purpose of accurate early warning

In view of this, some scholars have put forward gray relational degree analysis method, comprehensive index method, fuzzy comprehensive evaluation method, neural network analysis method, etc. to comprehensively evaluate the impact risk, but these methods are based on fuzzy mathematics, and the conclusions obtained are all macro-evaluation methods. , the judgment error for the degree of danger in the local area is relatively large

Images