{"title":"一种用于家庭设备描述的数据流模型","authors":"M. Mahrsi, Sylvie Vignes, G. Hébrail, M. Picard","doi":"10.1109/RCIS.2009.5089303","DOIUrl":null,"url":null,"abstract":"With the forthcoming deployment of smart metering infrastructures, it will be possible to extract data describing usage and functioning of home devices locally (in residences). Such data can then be streamed continuously and in real-time to a DSMS (Data Stream Management System) for further processing and knowledge extraction. In order for the data to be streamed, their structure and semantics have to be properly defined through a data model. To our knowledge, already existing standards do not include modeling of home devices and their behavior. In this paper, we describe a data stream model that covers these aspects. We also provide basic experimental results based on a data stream generator that we developed and used to test a DSMS.","PeriodicalId":180106,"journal":{"name":"2009 Third International Conference on Research Challenges in Information Science","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A data stream model for home device description\",\"authors\":\"M. Mahrsi, Sylvie Vignes, G. Hébrail, M. Picard\",\"doi\":\"10.1109/RCIS.2009.5089303\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the forthcoming deployment of smart metering infrastructures, it will be possible to extract data describing usage and functioning of home devices locally (in residences). Such data can then be streamed continuously and in real-time to a DSMS (Data Stream Management System) for further processing and knowledge extraction. In order for the data to be streamed, their structure and semantics have to be properly defined through a data model. To our knowledge, already existing standards do not include modeling of home devices and their behavior. In this paper, we describe a data stream model that covers these aspects. We also provide basic experimental results based on a data stream generator that we developed and used to test a DSMS.\",\"PeriodicalId\":180106,\"journal\":{\"name\":\"2009 Third International Conference on Research Challenges in Information Science\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Third International Conference on Research Challenges in Information Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RCIS.2009.5089303\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Third International Conference on Research Challenges in Information Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RCIS.2009.5089303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
With the forthcoming deployment of smart metering infrastructures, it will be possible to extract data describing usage and functioning of home devices locally (in residences). Such data can then be streamed continuously and in real-time to a DSMS (Data Stream Management System) for further processing and knowledge extraction. In order for the data to be streamed, their structure and semantics have to be properly defined through a data model. To our knowledge, already existing standards do not include modeling of home devices and their behavior. In this paper, we describe a data stream model that covers these aspects. We also provide basic experimental results based on a data stream generator that we developed and used to test a DSMS.