In order to effectively improve the effectiveness of engineering monitoring and rational utilization of resources,an optimization method for setting monitoring points of drainage pipe network was established based on improved K-means algorithm.Taking the drainage pipe network in H City in East China region as an exam-ple,based on the monitoring data of 23 original monitoring points,the monitoring points were preliminary opti-mized through raw data processing and BIRCH pre-clustering,then the final optimized monitoring points were de-termined by K-means clustering,and 16 retained monitoring points were output.It was proved that the optimized monitoring points had no influence on the data output of the drainage pipe network in H city.
关键词
监测点位优化/BIRCH聚类分析/K-means聚类分析/排水管网
Key words
Monitoring point optimization/BIRCH cluster analysis/K-means cluster analysis/Drainage pipe network
维普
万方数据