DB&A: An Open Source Web Service for Meter Data Management

S. Mikkelsen, R. Jacobsen, Anders Franz Terkelsen
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引用次数: 6

Abstract

With the increasing number of initiatives dealing with storing meter data, systems that perform Meter Data Management (MDM) constitute a critical component for realising the potential benefits of the smart grid. However, most of the MDM systems designed today are generalised to such an extent that they do not consider the relational structure of electrical system. Furthermore, these systems do often not restrict themselves to specific data latency requirements. To address this issue, this paper presents the Database & Analytics (DB&A), an open reference implementation for a MDM system that is instantiated as a web service. Its design is based on a set of design goals, an explicitly addressed data latency scope and five real-world scenarios. We present an abstract model of the metering hierarchy that allows MDM systems to be used as compositional services, forming a service tree. Moreover, we provide implementation details about analytic functions to support the service tree. The DB&A is evaluated on a cloud and embedded platform using a subset of data constructed from a case study that includes 8 months of real data. The results show that the DB&A complies with the boundaries of the defined data latency scope for the cloud and embedded platform.
DB&A:一个用于仪表数据管理的开源Web服务
随着存储电表数据的举措越来越多,执行电表数据管理(MDM)的系统构成了实现智能电网潜在优势的关键组件。然而,目前设计的大多数MDM系统都是泛化的,以至于它们没有考虑电气系统的关系结构。此外,这些系统通常不局限于特定的数据延迟需求。为了解决这个问题,本文介绍了Database & Analytics (DB&A),这是一个开放的参考实现,用于实例化为web服务的MDM系统。它的设计基于一组设计目标、明确处理的数据延迟范围和五个实际场景。我们提出了计量层次结构的抽象模型,该模型允许将MDM系统用作组合服务,形成服务树。此外,我们还提供了分析功能的实现细节来支持服务树。DB&A在云和嵌入式平台上进行评估,使用从包含8个月真实数据的案例研究中构建的数据子集。结果表明,DB&A符合云和嵌入式平台定义的数据延迟范围的边界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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