| 曾鹏亚,钟振茂,蒋伟康,严莉.基于声源监测的厂界噪声预测及贡献分析方法研究[J].声学技术,2022,41(2):246~251 |
| 基于声源监测的厂界噪声预测及贡献分析方法研究 |
| Research on noise prediction and contribution analysis method of power plant boundary based on source monitoring |
| 投稿时间：2021-01-19 修订日期：2021-03-04 |
| DOI：10.16300/j.cnki.1000-3630.2022.02.015 |
| 中文关键词: 噪声监测 声强测量 预测模型 贡献分析 |
| 英文关键词: noise monitoring sound intensity measurement prediction model contribution analysis |
| 基金项目:国家自然科学基金（51835008）资助项目。 |
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| 中文摘要: |
| 噪声监测是环境噪声预测和治理的重要技术方法。提出了一种基于声强测量的声源监测方法并应用于电厂环境噪声预测和厂界噪声贡献分析。在电厂主要设备噪声源附近布置测点测量并计算设备厂房的辐射声强，将设备厂房简化为面声源建立噪声预测模型，并以测量计算的声强级作为声源模型的源强。利用该模型计算厂界预测点A声级，与实验值具有良好的一致性，验证了该声源监测方法数据的可靠性与噪声预测模型的正确性。通过该模型计算分析了电厂主要噪声源对厂界噪声排放的贡献和影响，为电厂噪声治理提供技术依据。 |
| 英文摘要: |
| Considering the importance of noise monitoring for environmental noise prediction and management, a sound source monitoring method based on sound intensity measurement is proposed and applied to environmental noise prediction and noise contribution analysis of power plant boundary. The measuring points are arranged near the noise sources of the main equipment of power plant, and the radiated sound intensities of the workshops installing the equipment are measured and calculated, then the workshop is simplified as a surface sound source to establish a noise prediction model with the measured and calculated sound intensity level as the source intensities of the model. The model is used to calculate the A-weighted sound pressure levels at the prediction points of plant boundary, which are in good agreement with the experimental values. Therefore, the data reliability of the sound source monitoring method and the correctness of the noise prediction model are verified. Through the calculation and analysis of the model, the contribution and effect of the main noise sources of power plant on noise emission of plant boundary are provided, which could be a technical basis for noise control of power plant. |
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