隧道爆破振动信号时频谱增强优化分析  

Optimization analysis of time frequency spectrum enhancement of tunnel blasting vibration signal

作　　者：付晓强 麻岩 俞缙[3] 戴良玉 黄凌君 Fu Xiaoqiang;Ma Yan;Yu Jin;Dai Liangyu;Huang Lingjun(College of Architecture and Civil Engineering,Sanming University,Sanming Fujian 365004,China;Fujian Sanming Yihong Construction Engineering Co.,Ltd.,Sanming Fujian 365499,China;Fujian Research Center for Tunneling and Urban Underground Space Engineering,Huaqiao University,Xiamen Fujian 361021,China;Sanming Coffer Fine Chemical Industrial Co.,Ltd.,Sanming Fujian 365500,China)

机构地区：[1]三明学院建筑工程学院,福建三明365004 [2]福建省三明市翼宏建设工程有限公司,福建三明365499 [3]华侨大学福建省隧道与城市地下空间工程技术研究中心,福建厦门361021 [4]三明科飞产气新材料股份有限公司,福建三明365500

出　　处：《矿业科学学报》2023年第3期348-356,共9页Journal of Mining Science and Technology

基　　金：福建省自然科学基金(2020J01390);三明学院国家基金培育计划(PYT2008);国家自然科学基金(51874144,51679093)。

摘　　要：针对隧道爆破振动信号时频解析度不足的难题,运用基于卷积神经网络的时频图像增强算法,增强实测隧道爆破信号时频图像,捕获到爆破信号能量在时频域上的聚集范围,从而重构得到反映爆破特征的真实信号;根据真实信号对爆破网络中雷管的起爆时刻进行了精确判别,识别隧道爆破雷管灾害源特征。分析表明:基于卷积神经网络的时频图像增强算法可有效抑制信号中的交叉项,最大限度地保留信号自有项,提高爆破信号能量聚集性和时频解析度;不同批次雷管混用是隧道安全的主要致灾因素,应加强监管以实现隧道安全高效施工。Aiming at the problem of insufficient time-frequency resolution of tunnel blasting vibration signal,a time-frequency image enhancement algorithm based on convolutional neural network is applied,through the time-frequency image enhancement of the measured tunnel blasting signal,the aggregation range of the blasting signal energy in the time-frequency domain is captured,and the real signal reflecting the blasting characteristics is reconstructed;according to the real signal,the initiation time of detonator in blasting network is accurately distinguished,and the characteristics of tunnel blasting detonator disaster source are identified.The analysis shows that the time-frequency image enhancement algorithm based on convolutional neural network can effectively suppress the cross-terms in the signal,retain the auto-terms of the signal to the greatest extent,and improve the energy aggregation and time-frequency resolution of the blasting signal;The mixed use of different batches of detonators is the main disaster causing factor of tunnel safety.Supervision should be strengthened to realize safe and efficient tunnel construction.

关 键 词：隧道爆破 时频谱 灾害源 特征提取 爆破安全 

分 类 号：TD235.1[矿业工程—矿井建设]