摘要
在巷道掘进时,若能实时探测前方工作面地质状况,将进一步促进煤矿开采的自动化及智能化。但目前的探测方法多为单一随掘探测方法,实时性及准确性方面仍存在提升空间。结合电法探测及地震类探测的优势,设计了一种新的煤矿工作面地质探测方法。首先,根据2种探测方法的特点,对光纤电流传感器及检波器的布设进行规划设计;同时,针对地震类探测方法存在的噪声干扰问题,利用独立分量分析方法和人工蜂群算法进行信号分离,实现降噪,并利用交叉梯度约束实现了2种探测数据的联合反演。实验结果表明,联合反演结果的拟合度皆在0.84以上,有效避免了地震类单一反演的过拟合情况;通过与实际跟踪调查结果对比,研究设计的探测方法探测结果均准确反映了各地层异常。该方法能够实时为煤矿开采工作提供更为精准且有效的探测结果。
If the geological conditions of the working face ahead can be detected in real-time during tunnel excavation,it will further promote the automation and intelligence of coal mining.However,the current detection methods are mostly single mining detection methods,and there is still room for improvement in real-time performance and accuracy.To this end,a new geological exploration method for coal mine working faces was designed by combining the advantages of electrical detection and seismic detection.The study first plans and designs the deployment of fiber optic current sensors and detectors based on the characteristics of the two detection methods.At the same time,in response to the problem of noise interference in seismic detection methods,research is being conducted on the use of independent component analysis and artificial bee colony algorithm for signal separation to achieve noise reduction.And the joint inversion of two types of detection data was achieved using cross gradient constraints.The experimental results show that the fitting degree of the joint inversion results is above 0.84,and it effectively avoids overfitting in seismic inversion alone.And by comparing with the actual tracking investigation results,the detection results of the research and design detection methods accurately reflect anomalies in various layers.Research and design methods can provide more accurate and effective detection results in real-time for coal mining work.
作者
刘旭东
王子伟
田欢
Liu Xudong;Wang Ziwei;Tian Huan(Xinjiang Energy Co.,Ltd.,CHN Energy,Urumqi 830002,China)
出处
《能源与环保》
2025年第2期140-146,共7页
CHINA ENERGY AND ENVIRONMENTAL PROTECTION
关键词
随掘探测
工作面地质
电法探测
地震类探测
联合反演
along with excavation detection
geological conditions of the working face
electrical detection
seismic detection
joint inversion
