{"title":"基于数据流的供水管理系统的应用","authors":"Wanchun Wu, Junhu Zhang","doi":"10.1109/ICSAI.2012.6223224","DOIUrl":null,"url":null,"abstract":"In China, water resource is scarce and polluted here and there. To manage efficiently the water resource, A Water Supply Management System (WSMS) is developed for collecting and storing the data obtained from many monitoring hosts. In this paper we propose a subsystem of WSMS for reassembling the data quickly for statistical analysis and continuous querying based on the data stream. Two methods for statistical analysis based on the data stream are proposed in this paper. The experiment shows that the method we applied in the WSMS is the better one.","PeriodicalId":164945,"journal":{"name":"2012 International Conference on Systems and Informatics (ICSAI2012)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The application of Water Supply Management System based on data stream\",\"authors\":\"Wanchun Wu, Junhu Zhang\",\"doi\":\"10.1109/ICSAI.2012.6223224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In China, water resource is scarce and polluted here and there. To manage efficiently the water resource, A Water Supply Management System (WSMS) is developed for collecting and storing the data obtained from many monitoring hosts. In this paper we propose a subsystem of WSMS for reassembling the data quickly for statistical analysis and continuous querying based on the data stream. Two methods for statistical analysis based on the data stream are proposed in this paper. The experiment shows that the method we applied in the WSMS is the better one.\",\"PeriodicalId\":164945,\"journal\":{\"name\":\"2012 International Conference on Systems and Informatics (ICSAI2012)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Systems and Informatics (ICSAI2012)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSAI.2012.6223224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Systems and Informatics (ICSAI2012)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSAI.2012.6223224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The application of Water Supply Management System based on data stream
In China, water resource is scarce and polluted here and there. To manage efficiently the water resource, A Water Supply Management System (WSMS) is developed for collecting and storing the data obtained from many monitoring hosts. In this paper we propose a subsystem of WSMS for reassembling the data quickly for statistical analysis and continuous querying based on the data stream. Two methods for statistical analysis based on the data stream are proposed in this paper. The experiment shows that the method we applied in the WSMS is the better one.