Monitoring method of ultra-low frequency electromagnetic induction monitoring and early warning of coal-rock dynamic disasters

Abstract

An ultra-low frequency electromagnetic induction monitoring and early warning coal rock dynamic disaster system and method, belonging to the field of mine safety and monitoring. The method is to monitor the ultra-low frequency electromagnetic induction signal generated by the loaded coal and rock mass in real time at a long distance through multiple measuring points, and provide an early warning of the risk of coal and rock dynamic disasters according to the signal strength and change rule. Install the monitoring host and antenna at the selected measuring point, and align the effective receiving direction of the antenna with the monitored coal and rock mass. The signals received by the antenna are conditioned, collected, processed, analyzed, stored, and displayed by the monitoring host. Through the communication interface , Monitoring sub-stations, real-time transmission of monitoring data to the monitoring center, to achieve 24-hour uninterrupted monitoring. The monitoring host and monitoring center analyze the monitoring data to determine whether it is dangerous. The system is easy to install and move, and has a high degree of automation in monitoring, analysis and early warning. It can be applied to monitoring and early warning of rock burst, coal and gas outburst, coal and gas extrusion, and water inrush.

Description

technical field [0001] The invention relates to a monitoring method for ultra-low frequency electromagnetic induction monitoring and early warning of coal-rock dynamic disasters, which belongs to the field of mine safety and monitoring. Background technique [0002] Common coal-rock dynamic disasters in coal mines mainly include coal (rock) and gas (methane or carbon dioxide) outburst, rock burst (also known as rock burst or mine earthquake), roof collapse, and water inrush. With the increase of coal mining depth and mining intensity, coal-rock dynamic disasters such as mine gas outburst and rock burst have become increasingly serious and complex, and the risk of disasters has increased significantly. Gradually, it seriously threatens the life safety of underground workers and the normal production of mines. [0003] At present, the monitoring of coal-rock dynamic disasters in my country can be roughly divided into two categories: static method and dynamic method. The stat...

AI Technical Summary

Problems solved by technology

However, since the collected electromagnetic signals are mainly concentrated in 3-3000kHz, the effective propagation distance of signals in this frequency band is relatively short. Cannons or vibrations cannot be effectively monitored, and are greatly affected by electromagnetic interference signals from electromechanical equipment

Compared with the current monitoring frequency band, the transmission distance of ultra-low frequency and ultra-low frequency electromagnetic induction signals is longer, but there is still a lack of corresponding mining monitoring equipment and methods

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