Method for reconstructing advanced support pressure evolution model of deep stope based on DFOS strain

Abstract

The invention discloses a method for reconstructing an advanced support pressure evolution model of a deep stope based on DFOS strain. The method comprises the following steps: construction of a monitoring system, strain body data acquisition of advance support pressure, processing and analysis of massive strain data bodies, reconstruction of a stope advance support pressure evolution model, correction of the stope advance support pressure evolution model and the like. In the method for reconstructing an advanced support pressure evolution model of a deep stope based on DFOS strain, a BOTDR technology in a DFOS technology is adopted; a strain state of a rock stratum in a certain depth range of a stope bottom plate is dynamically captured in a coal seam stoping process; the two-dimensionalgeological model of advance support pressure distribution in the mining process is established, the method has the advantages of being high in applicability and convenient and fast to operate, and good safety guarantee can be provided for preventing roadway surrounding rock instability, rock burst, coal and gas outburst and the like.

Description

technical field [0001] The invention relates to the technical field of monitoring and controlling the stability of roadway surrounding rocks in coal mine stopes, in particular to a method for reconstructing an evolution model of advanced support pressure in deep stopes based on DFOS strain. Background technique [0002] At present, deep coal mining has entered the implementation stage. With the increase of mining depth, the stress distribution of coal and rock mass in the underground space becomes more and more complex, and related rock mechanics problems frequently occur. In the process of coal seam mining, fully understanding the distribution characteristics of bearing pressure plays a key role in the prevention and control of mine geological disasters, such as: rock burst, coal (rock) mass outburst, roadway deformation, floor water inrush, etc. Coal mine safety production poses a great threat. Therefore, the study of stope bearing pressure distribution is of great signif...

AI Technical Summary

Problems solved by technology

In the actual application process, the above methods all have certain deficiencies, the degree of quantification is not high, it is difficult to obtain effective data dynamically in real time, the data volume is small, and it cannot accurately reflect the spatiotemporal characteristics of rock formation changes, etc.

Moreover, the acquisition of stress data mostly uses resistive and vibration-suspension sensors in point sensors. In the harsh operating environment of coal mines, the survival rate of conventional sensors is low and it is easy to miss detection.

Therefore, the obtained data volume is difficult to reconstruct the distribution characteristics and development rules of bearing pressure in the whole mining process.

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