摘要
山体爆破中振动压力传感互联监控方法是爆破学重要应用方向,该技术的难点是如何准确地对较大规模山体爆破产生的非线性压力波进行检测。山体爆破产生的振动信号非线性很强,受到干扰也较为复杂,传统的频域变换分析方法很难准确分析。为此提出一种基于过滤短时傅里叶(STFT)时频分析方法,对山体爆破中的非线性山体振动信号进行分析,通过提取不同介质层压力信号时频特征差异,利用聚类分析理论去除外界干扰的影响。实验结果表明,该方法能有效地监测山体爆破中的压力信息,准确率较高。
Landslides in blasting vibration pressure sensing Internet monitoring method is blasting learn important application direction,the technology difficulty is how to accurate to a large-scale mountain blasting produce nonlinear pressure wave testing.Produced by blasting vibration signal nonlinear is very strong,interference is relatively complex,traditional frequency domain transformation analysis method is difficult to accurate analysis.Therefore this paper puts forward a filter based on short-time Fourier(STFT) time-frequency analysis method,the blasting of nonlinear mountain mountain vibration signal analysis,through the extraction different medium layer pressure signal frequency characteristic difference, make use of cluster analysis theory to remove the influence of outside interference.The experimental results show that change method can effective monitoring by the pressure of the blasting information,high accuracy.
出处
《科技通报》
北大核心
2013年第6期164-166,共3页
Bulletin of Science and Technology
关键词
山体爆破
振动信号
傅里叶变换
mountain blasting
vibration signal.clustering analysis
fourier transform