风力发电场机组噪声污染预测技术研究

摘要

Through collecting and monitoring the noise pollution data of wind farm units and combining the method of data clustering analysis to predict the noise pollution and improve the performance of noise pollution monitoring. A prediction method for noise pollution of wind farm units based on fuzzy array quantization tracking fusion is proposed. Acoustic sensor array is used to collect noise data of wind farm units. The collection of noise data is processed by fusion tracking of sensor information, the spectral density characteristics of the noise data of wind farm units are extracted, and the extracted feature quantities are processed by fuzzy clustering. According to the clustering directivity, the noise pollution prediction of wind farm units is realized.%通过对风力发电场机组噪声污染数据采集和监测,结合数据聚类分析方法进行噪声污染预测,提高噪声污染监测性能,提出一种基于模糊基阵量化跟踪融合的风力发电场机组噪声污染预测方法.采用声传感器基阵进行风力发电场机组的噪声数据采集,对采集噪声数据进行传感信息量化融合跟踪处理,提取风力发电场机组噪声数据的谱密度特征,对提取的特征量进行模糊聚类处理,根据聚类指向性实现风力发电场机组噪声污染预测.