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在微差爆破工程中,由于延期微差时间往往与实际延期时间有较大出入,影响了微差爆破的效果和顺利实施.基于这一现状,利用小波变换具有突出被分析信号局部特征的能力,通过分析爆破工程中所监测到的振动信号.有效地识别出微差爆破中各段雷管的起爆时刻,进而可以确定爆破中所用雷管的实际延期时间.以某地下矿山进行的微差爆破监测到的爆破振动信号进行小波分析为例,验证了此方法的有效性.图3,表3,参7.
In the case of micro-blasting, the delay time is often different from the actual postponement time, which affects the effect and smooth implementation of the micro-blasting.Based on this situation, the wavelet transform has the ability of highlighting the local characteristics of the signal being analyzed , By analyzing the vibration signals detected in the blasting project, effectively identify the detonating time of each detonator in the differential blasting, and then determine the actual detonation time of the detonator used in the blasting. To blasting vibration signal wavelet analysis, for example, validated the effectiveness of this method.Figure 3, Table 3, reference 7.