基于快速傅立叶变换的打桩锤击信息的识别
Recognition of Piling Sound Based on Fast Fourier Transform
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摘要: 针对常规人工记录锤击数的低效情况,在此将打桩现场采集的声音信号运用快速傅立叶变换到频率域,对频谱进行多个统计量的分析,并同时考虑了锤击声音可能受到附近噪音的干扰,从中选取平均绝对值偏差这个统计量作为识别锤击次数的特征,由此探测得到一组可以较为精确识别锤击数目的特征参数,实现了锤击数准确识别的自动化。Abstract: On the basis of the analysis of fast Fourier transform and some basic statistical variables,the piling sound is analyzed in frequency domain;then the character,mean absolute deviation,and corresponding parameters on the piling sound recognition are acquired;thus an algorithm can be developed to count the number of piling sound by rule and line.