Abstract
During the process of coal road excavation, various interference signals, induced by environmental noise, drilling, and scraper loader, will affect the risk assessment of coal and gas outburst using acoustic emission (AE) and electromagnetic radiation (EMR) monitoring technology. To distinguish between different interference signals and danger signals, discrete wavelet transform (DWT) was used to decompose and reconstruct signals, and continuous wavelet transform (CWT) was used to obtain the time-frequency plane. The research results show that: (1) interference signals generally exhibit fluctuating changes within small ranges; in comparison, the intensity of AE and EMR signals caused by coal and rock fracture is found to continuously rise for a long period (longer than 2 h). (2) Different interference signals and danger signals differ significantly in their time-frequency plane. (3) Through decomposition and reconstruction of original signal, obvious precursor information can be found in the time-frequency plane of reconstructed signals.
Highlights
With the increase in the mining depth and intensity of coal resources, coal and rock dynamic disaster, such as rockburst, coal and gas outburst, and water inrush, are becoming more and more serious and complicated, which seriously threatens the safe and efficient production of coal resources [1,2,3,4]
The time-frequency plane was obtained and compared between interference signals caused by environmental noise, drilling, and scraper loader and danger signals caused by coal and rock fractures using the wavelet transformation (WT) method
According to interference of different processes during roadway exon the monitoring signals, the interference signals can be divided into several types: cavation on the monitoring signals, the interference signals can be divided into several environmental noise, drilling signals, signals, and operating signals of scraper loader
Summary
With the increase in the mining depth and intensity of coal resources, coal and rock dynamic disaster, such as rockburst, coal and gas outburst, and water inrush, are becoming more and more serious and complicated, which seriously threatens the safe and efficient production of coal resources [1,2,3,4]. It is of great importance for the accurate monitoring and early warning of coal and rock dynamic disaster. The MS monitoring technology mainly locates the seismic source and calculates the energy through the elastic waves released by the coal and rock fractures, and the monitoring range can cover the entire coal mine
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