Optimization of Monitoring Points in Drainage Pipe Network Based on Improved K-means Algorithm
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.
Monitoring point optimizationBIRCH cluster analysisK-means cluster analysisDrainage pipe network
万方数据
维普
