一种用于家庭设备描述的数据流模型

M. Mahrsi, Sylvie Vignes, G. Hébrail, M. Picard
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引用次数: 6

摘要

随着智能计量基础设施的即将部署,将有可能提取描述本地(住宅)家庭设备使用和功能的数据。然后,这些数据可以连续实时地流到DSMS(数据流管理系统)中进行进一步处理和知识提取。为了使数据流化,必须通过数据模型正确定义数据的结构和语义。据我们所知,现有的标准并不包括家用设备及其行为的建模。在本文中,我们描述了一个涵盖这些方面的数据流模型。我们还提供了基于我们开发并用于测试DSMS的数据流生成器的基本实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A data stream model for home device description
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.
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