钢厂噪声特性分析
Analysis of Noise Characteristics of Steel Mill
作者: 赵 岩 :东北大学材料与冶金学院,辽宁 沈阳; 翟继涛 , 雷 洪 , 张红伟 :东北大学材料电磁过程研究教育部重点实验室,辽宁 沈阳;
关键词: 噪声; 采样频率; 倍频程图; 总声级; 总声能; Noise; Sampling Frequency; Octave Diagram; Total Sound Level; Total Sound Energy
摘要:Abstract: In order to study the current condition about noise pollution in the steel mill, a noise measurement system was applied to collect the sound data of the equipments in the steel-quality-testing workshop, the steel-making workshop and the steel-rolling workshop. And the sampling frequency was set to be 44,100 Hz. Then, the FORTRAN source codes were applied to obtain the noise signal octave diagram and the total sound level in order to find the noise frequency distribution cha-racteristics of each device. The experimental data showed that the greatest noise appears in the cutting bed of steel-quality-testing workshop, RH furnace of steel-making workshop and straigh-tening process of steel-rolling workshop, and the noise strength reaches 98.46 dB (A), 101.04 dB (A) and 100.44 dB (A) respectively. Further, their key noise frequency scopes focus on 250 - 8000 Hz, 1000 - 16,000 Hz and 250 - 8000 Hz, and their contributions to the total sound energy are 76.56%, 64.68% and 76.67% respectively. The noise of the casting key-control room is the greatest in all lounges of the steel mill. The total sound level reaches 87.54 dB (A); the key noise frequency ranges from 63 to 2000 Hz; and the contribution to the total sound energy is 73.09%. Therefore, the noise reduction scheme should be designed to deal with the three workshops and key-control room. The workers should wear acoustic earplugs when working in the workshops. The sound insulation walls and windows are installed in the key-control rooms.
文章引用: 赵 岩 , 翟继涛 , 雷 洪 , 张红伟 (2015) 钢厂噪声特性分析。 冶金工程, 2, 76-83. doi: 10.12677/MEng.2015.22012
参考文献
[1] 张海澜 (2012) 理论声学. 高等教育出版社, 北京, 1-7.
[2] Jalan, V., Shepard Jr., W.S. and Lim, T.C. (2004) Noise control approaches for an air-compressor in a fuel-cell auxiliary power unit. Noise Control Engineering Journal, 52, 197-209.
[3] Stanef, D., Hansen, A. and Morgans, C.H.R.C. (2004) Active control analysis of mining vehicle cabin noise using finite element modeling, Journal of Sound & Vibration, 277, 277-297.
[4] Familier, E. and Galton, I. (2013) A fundamental limitation of DC-free quantization noise with respect to nonlinearity- induced spurious tones. IEEE Transaction on Signal Processing, 16, 4172-4180.
[5] 翟继涛, 雷洪 (2014) 基于Matlab的音频数据采集系统的分析与评价. 电脑知识与技术, 17, 4134-4136.
[6] Gu, K.H., Iickho, S., Seokho, Y., et al. (2011) A class of spectrum-sensing schemes for cognitive radio under impulsive noise circumstance: Structure and performance in non-fading and fading environments. IEEE Transaction on Vehicular Technology, 59, 4322-4339.
[7] Swaminathan, A., Panigada, A., Masry, E. and Galton, I. (2007) A digital requantizer with shaped requantization noise that remains well behaved after nonlinear distortion. IEEE Transaction on Signal Process, 11, 5382-5394.
[8] Georgiadis, A.T. and Mulgrew, B. (2011) Adaptive Bayesian decision feedback equaliser for alpha-stable noise environments. Signal Pro-cession, 81, 1603-1623.
[9] 陈克安, 曾向阳, 杨有粮 (2010) 声学测量. 机械工业出版社, 北京, 43-62.
[10] Brouse, C., Bumont, G.A., Herrmann, F.J. and Ansermino, J.M. (2006) A wavelet approach to detecting electrocautery noise in the ECG. IEEE Engineering in Medicine and Biology Magazine, 4, 76-82.