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A COMPREHENSIVE DATA GOVERNANCE FRAMEWORK, THE PRAGMATIC GUIDELINE FOR BIG DATA ANALYTIC IN SMART UTILITY

机译:全面的数据治理框架,智能实用程序大数据分析的语用指南

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During the past years, all power utility play much attention in Smart Grid (SG) vision and started to do their roadmap for being smart power utility in a very short future. Therefore, many technology have been investigated whether to apply in their SG roadmap, generation, transmission, distribution and operation/control system. One principle technology that shall make SG vision realistic in term of holistic management is the information management technology. Big Data analytic is the example of information management technology that has been introduced to improve the performance of power utility by analyzing and predicting the huge of Data in their operation system such as meter, sensor in substation or control center. Conceptually, basic principle of Big Data Analytic is the system that capable to store, process, analyze and visualize the high volume and velocity of data. Moreover Big Data analytic principle is able to support an analyzing of non structure data such as picture, text file and html file format. Therefore the topic of applying Big Data analytic in SG roadmap is much talking in many symposium currently. Most of the Big Data analytic papers usually shown the key feature and benefit when they apply in their Big Data in power utility operation system. Unfortunately, there have no any publication or study presents about Data Governance which is a very important success factor for Data analytic. This article addresses the problem of the Data Governance and proposes a comprehensive Data Governance framework which is a pragmatic guideline for successful information management in Big Data environment of smart utility. We address the challenge of Data management and summarize the impact of Data management in term of Data quality, consistency and accuracy. To be an implementation guideline, the process of Data Governance, key activity as well as role/responsibility of Data Governance participant are also presented.
机译:在过去几年中,所有电力效用都在智能电网(SG)视野中发挥了很多关注,并开始进行他们的路线图,以便在一个非常短的未来处于智能电力效用。因此,已经研究了许多技术是否适用于其SG路线图,生成,传输,分配和操作/控制系统。一个原理技术,在整体管理期间使SG Vision现实成为信息管理技术。大数据分析是通过分析和预测其操作系统中的巨额数据,如仪表,传感器在变电站或控制中心的操作系统中提高了电力效用的性能的信息管理技术的示例。概念上,大数据分析的基本原理是能够存储,处理,分析和可视化数据的高容量和速度的系统。此外,大数据分析原理能够支持分析图片,文本文件和HTML文件格式等非结构数据。因此,在SG路线图中应用大数据分析的主题在许多专题讨论会上有很多讨论。大多数大数据分析论文通常会显示关键特征,并在其在电力公用事业操作系统的大数据中应用。不幸的是,没有任何出版物或研究关于数据治理,这是数据分析的一个非常重要的成功因素。本文涉及数据治理问题,并提出了一个全面的数据治理框架,这是智能公用事业大数据环境中成功信息管理的务实指南。我们解决了数据管理的挑战,并总结了数据质量,一致性和准确性期间数据管理的影响。作为实施指南,还提出了数据治理,关键活动以及数据治理参与者的角色/责任的过程。

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