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作 者:陈广振 CHEN Guangzhen(Yankuang Heze Energy Chemical Co.,Ltd.,Zhaolou Coal Mine,Heze 274700,China)
机构地区:[1]充煤菏泽能化有限公司赵楼煤矿,山东菏泽274700
出 处:《电声技术》2025年第2期86-88,共3页Audio Engineering
摘 要:研究探讨声音增强技术在煤矿巷道掘进冲击地压监测中的应用,旨在提升微震信号的信噪比、特征提取效果及预警可靠性。通过结合小波分解、希尔伯特变换及谱减法,优化信号降噪处理;构建基于混合分解框架的特征提取方法,为冲击地压预警提供可靠依据;采用融合多模型的预警方案,提高监测效果。实验结果表明,所提方法在信号增强、特征识别及预警准确性方面均表现优异,可为冲击地压风险预测提供可靠技术支撑。This study investigates the application of sound enhancement technology in monitoring rock bursts during coal mine roadway excavation,aiming to improve the signal-to-noise ratio,feature extraction effectiveness,and reliability of microseismic signal warnings.By combining wavelet decomposition,Hilbert transform,and spectral subtraction,the signal denoising process was optimized;a feature extraction method based on a hybrid decomposition framework was constructed to provide a reliable basis for rock burst early warning;and a multi-model fusion warning scheme was employed to enhance monitoring performance.Experimental results indicate that the proposed method excels in signal enhancement,feature recognition,and warning accuracy,providing reliable technical support for rock burst risk prediction.
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