{"title":"公用事业智能电表网络数据流量分析","authors":"Wenpeng Luan, D. Sharp, Stephen LaRoy","doi":"10.1109/PESMG.2013.6672750","DOIUrl":null,"url":null,"abstract":"This paper examines an implemented practical utility AMI network, analyzes meter data size and data traffic volume in several key AMI system nodes such the smart meter, meter data collector, data center firewall, metering system head-end, and meter data repository. Acknowledging that AMI solutions are different from utility to utility and therefore the data traffic volume and pattern flow through each AMI network will be different depending on the metering system and its implementation, this study provides a practical reference and traffic benchmark for future AMI project planning and implementation.","PeriodicalId":433870,"journal":{"name":"2013 IEEE Power & Energy Society General Meeting","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"43","resultStr":"{\"title\":\"Data traffic analysis of utility smart metering network\",\"authors\":\"Wenpeng Luan, D. Sharp, Stephen LaRoy\",\"doi\":\"10.1109/PESMG.2013.6672750\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper examines an implemented practical utility AMI network, analyzes meter data size and data traffic volume in several key AMI system nodes such the smart meter, meter data collector, data center firewall, metering system head-end, and meter data repository. Acknowledging that AMI solutions are different from utility to utility and therefore the data traffic volume and pattern flow through each AMI network will be different depending on the metering system and its implementation, this study provides a practical reference and traffic benchmark for future AMI project planning and implementation.\",\"PeriodicalId\":433870,\"journal\":{\"name\":\"2013 IEEE Power & Energy Society General Meeting\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"43\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Power & Energy Society General Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PESMG.2013.6672750\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Power & Energy Society General Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PESMG.2013.6672750","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data traffic analysis of utility smart metering network
This paper examines an implemented practical utility AMI network, analyzes meter data size and data traffic volume in several key AMI system nodes such the smart meter, meter data collector, data center firewall, metering system head-end, and meter data repository. Acknowledging that AMI solutions are different from utility to utility and therefore the data traffic volume and pattern flow through each AMI network will be different depending on the metering system and its implementation, this study provides a practical reference and traffic benchmark for future AMI project planning and implementation.
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