针对传统噪声测量仪器的不足,利用传感器技术和虚拟技术相结合的方法,以B&K公司的传声器、放大器和NI公司的数据采集卡为硬件,搭建硬件采集平台并编写虚拟仪器应用程序,实现对粉碎机噪声信号的实时采集、声压级分析、1/3倍频程分析以及计权分析.测试结果表明:粉碎机平均噪声为94.2 dB(A),噪声信号中主要包含6种不同的频率成分,主要来源于47 Hz/180 Hz/200 Hz/361 Hz/893 Hz/1263 Hz频率段的信号.最后,用B&K公司的2250精密型声级计在上述相同环境下做1/3倍频程频谱测量,二者所测结果基本吻合,确定系统的精确性,为后续噪声源识别和降噪提供基础.%Aiming at the shortcomings of the traditional noise measuring instruments,this article used the method that combines sensor technology and virtual technology,taking B&K company's microphone,amplifier and NI company's data acquisition card as hardware,built hardware platform, written the application program of virtual instrument and realized the real-time acquisition of the mill noise signals, sound pressure level analysis, 1/3 octave analysis and weighted analysis.Test results showed that the average noise of the mill was 94.2 dB(A),and noise signal mainly contained six different frequency components, mainly coming from 47 Hz/180 Hz/200 Hz/361 Hz/893 Hz/1263 Hz frequency signal. Finally, B&K company's 2250 precise sound level meter was applied to 1/3 octave spectrum measurement in the same environment,the measured results were basically consistent, determining the accuracy of the system and providing the basis for subsequent noise recognition and noise reduction.
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