Electromagnetic Signals Analysis Method of Coal-rock While Drilling for Anti-punching Drilling Robots

Drilling pressure relief is the primary measure for preventing and controlling impact ground pressure in high stress mines, while accurate identification of coal and rock in the drilling process is a prerequisite for improving the efficiency of drilling pressure relief and guaranteeing intelligent drilling operation. In this paper, we propose a novel time-frequency analysis method of electromagnetic reflected waves of coal and rock while drilling based on CWT and GAPSO-ROA to extract the key time-frequency information of electromagnetic signals for enhancing the accuracy of coal and rock recognition. First, coal and rock drilling electromagnetic detection experiment is carried out to obtain the electromagnetic signals, including lignite, bituminous, anthracite, shale, mudstone, and sandstone. Then, time-frequency analysis method is designed combining the continuous wavelet transform (CWT) and the hybrid swarm intelligence optimization algorithm (GAPSO-ROA) to extract the key time-frequency information of the electromagnetic signals, which more accurately identifies the coal and rock. The experimental results verified the superiority and feasibility of the proposed method.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/eecr64516.2025.11077263
Primary Topic
Geomechanics and Mining Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Electromagnetic Signals Analysis Method of Coal-rock While Drilling for Anti-punching Drilling Robots

Lei Si, Yang Liu, Zhongbin Wang
Geomechanics and Mining Engineering
article

Electromagnetic Signals Analysis Method of Coal-rock While Drilling for Anti-punching Drilling Robots

Lei Si, Yang Liu, Zhongbin Wang
article en

Abstract

Drilling pressure relief is the primary measure for preventing and controlling impact ground pressure in high stress mines, while accurate identification of coal and rock in the drilling process is a prerequisite for improving the efficiency of drilling pressure relief and guaranteeing intelligent drilling operation. In this paper, we propose a novel time-frequency analysis method of electromagnetic reflected waves of coal and rock while drilling based on CWT and GAPSO-ROA to extract the key time-frequency information of electromagnetic signals for enhancing the accuracy of coal and rock recognition. First, coal and rock drilling electromagnetic detection experiment is carried out to obtain the electromagnetic signals, including lignite, bituminous, anthracite, shale, mudstone, and sandstone. Then, time-frequency analysis method is designed combining the continuous wavelet transform (CWT) and the hybrid swarm intelligence optimization algorithm (GAPSO-ROA) to extract the key time-frequency information of the electromagnetic signals, which more accurately identifies the coal and rock. The experimental results verified the superiority and feasibility of the proposed method.

China University of Mining and Technology (CN)
National Natural Science Foundation of China, Priority Academic Program Development of Jiangsu Higher Education Institutions
Openalex Percentile: Top 78%
Geomechanics and Mining Engineering
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Electromagnetic Signals Analysis Method of Coal-rock While Drilling for Anti-punching Drilling Robots — Lei Si, Yang Liu, et al. · (2025) | TGRS Research Map | TGRS