中文摘要：

微差爆破延时的识别是爆破方案调整和优化的重要依据。采用HHT和分形组合方法对实际隧道工程采集到的爆破振动信号进行了分析。利用HHT变换中的EMD（Empirical Mode Decomposition）分解对采集到的典型爆破振动信号分解为12个imf（Intrinsic Mode Function）分量。通过分形盒维数算法,计算得到原信号及其各imf分量的分形盒维数值和自相似性因子值,并确定imf 4分量为信号的主分量。对其进行HHT变换取模,准确识别了微差爆破雷管实际延期时间。分析结果表明,HHT和分形组合方法对于微差爆破延时的识别可靠,精度高。

英文摘要：

The identification of delay of millisecond blasting is an important basis for the adjustment and optimization of blasting scheme. The differential delay of blasting vibration signal collected by the actual tunnel engineering is identi-fied by the combination of HHT and fractal theory. By using the EMD（ Empirical Mode Decomposition） of HHT trans- formation, the typical blasting vibration signal is decomposed, and 12 imf components are obtained. The fractal box dimension algorithm is used to calculate the fractal dimension value and self similarity factor of the original signal and its IMF （Mode Function Intrinsic） component. The main component is determined by the imf4 component of the signal. The HHT transform of IMF4 component is carried out, and the delay time of millisecond blasting cap is accurately iden- tified. The analysis results show that, the HHT and fractal combination method are reliable and accurate for the identification of millisecond blasting delay, which provides a new way for the identification of millisecond blasting delay.