酒店通风系统噪声治理及降噪效果模拟预测

本文结合某酒店通风系统噪声治理实例,根据进、排风口空间分布,气流噪声频谱特性等参数,采用Cadna/A软件对噪声源进行了建模,预测了不同楼层进、排风口安装具有不同消声量的消声器后关心点处降噪量。结果表明,酒店通风系统室外进、排风口消声器的消声量可根据各风口噪声对关心点的噪声贡献值大小合理确定消声量,在此基础上根据进、排风口气流噪声频谱等参数设计消声器;只要声学建模合理(特别是声源声功率级等参数取值),借助Cadna/A可较为有效地进行声源识别,确定各进、排风口对各关心点的噪声贡献值大小。

NOISE CONTROL OF HOTEL VENTILATION SYSTEM AND PREDICTION OF NOISE REDUCTION

The modeling of noise sources of a certain hotel ventilation system was developed to predict noise reduction of various treatment measures at a sensitive point using Cadna/A software.Results showed that,muffling volume of each muffler installed at the air inlets or outlets of the hotel ventilation system can be determined based on its noise contribution to the noise level of the sensitive point.And on that basis,mufflers can be designed combined with the flow noise spectrum of air inlets and outlets and other parameters.As long as the acoustic modeling is reasonable,especially the value of sound power level of sound sources,it is effective to recognize sound sources and determine the noise contribution of each air inlet and outlet to the noise levels of sensitive points utilizing Cadna/A software.