基于数据图谱技术的电网营销数据图谱构建研究
The Research on Construc-tion of Power Grid Marketing Data Atlas Based on Data Atlas Technology
DOI: 10.12677/AEPE.2019.74007, PDF,   
作者: 殷新博：国网江苏省电力有限公司常州供电分公司，江苏 常州
关键词: 网架；电网拓扑；标准管理；自动识别；营销系统； Network Frame； Power Network Topology； Standard Management； Automatic Identification； Marketing System
摘要: 调度、营销系统中分别存储了站、线、变、户的网架结构，但由于各系统数据标准和业务关注度不一致，使得数据间彼此孤立、不统一，导致单系统中网架档案本身和档案间关系错误，以及跨系统网架档案一致性和关系错误，最终造成电网拓扑不准确。知识图谱技术是基于大数据图数据库技术发展起来的，可以通过语义识别技术、多元数据知识抽取技术直观高效地构建出电网拓扑架构模型，实现电网拓扑的自动识别，为实现电网架构的标准管理提供有力条件。这篇文章从数据图谱技术出发，构建了营销数据图谱自动识别模型，重点研究了营销数据图谱应用于常州供电公司的真实数据，能够实现跨系统网架结构的差异分析，找出数据孤立节点，准确定位数据问题原因，提升网架拓扑异常数据治理效率。
Abstract: In dispatching and marketing systems, the network structures of stations, lines, transformers and households are stored separately. However, due to the inconsistency of data standards and business concerns in each system, the data are isolated and inconsistent with each other, resulting in errors in the relationship between network archives and archives in a single system. It is easy to cause inaccurate grid topology. Knowledge atlas technology is developed based on large data graph database technology. It can construct power grid topology model intuitively and efficiently through semantic recognition technology and multi-data knowledge extraction technology, realize automatic identification of power grid topology, and provide strong conditions for standard management of power grid structure. This paper constructs automatic recognition model of the marketing data map, focuses on the application of Chang Zhou power supply company’s marketing data map, can realize the difference analysis of the cross-system grid structure, accurately locate the cause of the data problem, and improve the efficiency of data management of the grid topology.
文章引用：殷新博. 基于数据图谱技术的电网营销数据图谱构建研究[J]. 电力与能源进展, 2019, 7(4): 55-62. https://doi.org/10.12677/AEPE.2019.74007

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