可靠度下多测点实测值的噪声源声功率反演算法

Sound Power Inversion Algorithm of Noise Sources Based on Multi-point Measurement and Reliability Theory

随着城市化和工业化进程的推进,我国环境问题日益凸显,工业噪声已经成为一大焦点。在工业企业噪声预测及控制中,方便、准确获得工业设备的声功率级,提高噪声预测精度尤为重要。根据国际标准ISO9613-2给出的户外传播计算方法中,通过多测点噪声实测数据与理论计算,利用可靠度理论及优化思想,构建基于声源声功率级反推的数学模型,实现声功率级反演计算。应用该方法对江西某水泥厂噪声预测模型进行研究,通过设置不同可靠度,识别并剔除测点数据中偏差较大的点,可最大限度减小测点噪声值不确定度,实现声源声功率级反演计算,从而减小预测值与实测值的综合误差,提高了噪声预测模型精度。

With the advancement of urbanization and industrialization, our domestic environmental problems are becoming more and more prominent, and industrial noise has become a major focus. In the noise prediction and control of industrial enterprises, it is especially important to obtain the sound power level of industrial equipment conveniently and accurately and to improve the accuracy of noise prediction. According to the outdoor propagation calculation method given by the international standard ISO9613-2, the mathematical model of sound power level inversion of sound sources is constructed by using the reliability theory and optimization ideas. The sound power level inversion is realized through the actual noise measurement data at multiple measurement points and theoretical calculation. This method is applied to the research of the noise prediction model of a cement plant in Jiangxi province. By setting different reliability, identifying and removing the points with large deviations in the measured data, the uncertainty of the measured noise value is minimized, the difference between the predicted values and measured values is reduced, the noise prediction model accuracy is improved,and the sound source sound power level inversion calculation is realized.