Design and Research of Noise Pollution Monitoring Network Model with Improved K-means Clustering
In order to optimize the urban noise monitoring network effectively and minimize the number of monitoring points,this paper proposes a noise pollution monitoring network model with improved K-means clustering.By calculating the contour coefficient to improve the K value,improving the K-means clustering algorithm,and establishing the K-means clustering model,the position coordinates of the monitoring points are determined according to the position of the class centroid of the clustering results,so as to obtain the optimized monitoring network layout.The results show that the model not only guarantees the accuracy and comprehensiveness of the monitoring results,but also effectively reduces the number of monitoring points and the redundancy of monitoring costs.
noise pollutionK-means clusteringmonitoring network model
万方数据
维普
