Research Of Cluster Analysis Of DMA Inlet Flow Data In Water Supply Network

The increasing use of smart water metering technologies for monitoring networks in real-time is providing water utilities with an ever growing amount of data on their business operations and infrastructure.Such metering devices embrace two distinct technologies: meters that record water usage.Although now mostly cities already have such smart meters,but the collected traffic data is only conducive for water supply network daily scheduling and water company economic benefit evaluation.These large data is stored to the database.But because of memory and so on,these large data is delete and the valuable information in data disappear after a period of time.This traditional approach has failed to keep pace with the current data age and cause resources to be wasted.With the development of data mining technology,we will lose opportunity to realize water supply network better,this problem is desperately needs to be solved and we should pay more attention on this problem.Analyzing these data will help the water supply network to innovate water supply network management,planning and customer service,make the most of water and protect water resource.This paper is based on the characteristics of DMA partition flow data,a clustering method based on the DMA water partition curve distance and shape(KS),The clustering method is relatively classic K – means,autonomous mapping(SOM)and fuzzy c-means,more can reflect the DMA partition law of water consumption.43 DMA traffic data come form DMA partition of Y city.The 43 DMA partition traffic data after data preprocessing,clustering analysis.Compare Clustering algorithm effect of KS,K-means,SOM and FCM.Finally,KS has the best clustering effect,By analyzing KS clustering results,that can guide water to detect anomalies(leakage,steal water).In the processing of 43 DMA partition flow data,observe the water consumption curve of 43 DMA partition,Found according to the water supply engineering and other teaching materials to calculate the variation coefficient that is lesser than most of the water every hour of total water consumption throughout the day.If continue to use the teaching material such as the water supply engineering of the variation coefficient formula,will not be able to ensure that cities like Y city water supply security,suggest that change correction coefficient formula.