建筑是人群密集的大型公共建筑，建筑噪声易受人群等多种动态复杂因素的影响。针对建筑噪声污染数值的模拟具有时变性、复杂性、非线性等特点，提出了一种基于自适应传递函数的建筑噪声污染数值模拟方法。构建了基于物联网的建筑噪声污染监控系统，实时监测建筑噪声环境要素，通过自适应函数分析建筑噪声污染声源频谱，根据城市环境噪声标准，利用加速度有效值、振动加速度级和振动级衡量建筑噪声污染强度，确定建筑噪声污染等级，以此完成建筑噪声污染数值模拟计算。通过实验验证所提方法的有效性，结果表明，此次设计的模拟计算方法比传统方法精确性更高，并且与际测量值更接近，具有较高的实际应用性，为建筑噪声污染数值模拟计算提供借鉴意义。

Large-scale public buildings are dense with crowds, and building noise is easily affected by crowds and other dynamic and complex factors. As the numerical simulation of building noise pollution is time-varying, complex, and nonlinear, a numerical simulation method of assessing building noise pollution based on adaptive transfer function is proposed. A building noise pollution monitoring system based on the Internet of Things is built to monitor the environmental elements of building noise in real time, analyze the frequency spectrum of building noise pollution sources by adaptive functions, and use the effective value of acceleration, vibration acceleration level and vibration level to measure building noise pollution according to urban environmental noise standards. Noise pollution intensity and level are determined to complete the building noise pollution numerical simulation calculation. The effectiveness of the proposed method is verified by experiments. The results show that the simulation calculation method designed this time is more accurate than the traditional method and is closer to the actual measured value. It has higher applicability and provides reference for numerical simulation of building noise pollution.