| 引用本文: | 荀挺,张珂珩,薛浩然,等.电网调控数据综合智能分析决策架构设计[J].电力系统保护与控制,2015,43(11):121-127.[点击复制] |
| XUN Ting,ZHANG Keheng,XUE Haoran,et al.Framework design of the analysis decision system about the power grid data[J].Power System Protection and Control,2015,43(11):121-127[点击复制] |
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| 摘要: |
| 在“调控一体化”的背景下，电网调控领域进入了大数据时代。针对电网调控业务中数据仅以报表形式展示，缺乏深度挖掘与关联分析，没有发掘数据的潜在价值等问题，提出了电网调控数据综合智能分析决策与可视化系统的设计思路和具体实施方案。系统基于数据挖掘技术、商务智能理论、可视化等前沿技术，通过对存储于大型电网数据库中的众多无关联性数据进行预处理，并利用专业的数据挖掘手段结合成熟的商务智能技术对不同业务数据进行综合分析。最后利用可视化技术将分析结果进行立体的、多维度的展示，为调控人员提供辅助决策。 |
| 关键词: 数据挖掘 关联分析 商务智能 大数据 调控一体化 |
| DOI：10.7667/j.issn.1674-3415.2015.11.019 |
| 投稿时间：2014-08-25修订日期：2014-11-18 |
| 基金项目: |
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| Framework design of the analysis decision system about the power grid data |
| XUN Ting,ZHANG Keheng,XUE Haoran,TANG Sheng,TANG Chaobo,HAN Qiucheng |
| (Department of China Realtime Datebase Co., Ltd., Nanjing 210000, China) |
| Abstract: |
| In the background of “contorl integration”, the power grid control field comes into the era of big data. There are many problems in the power-control business, for example it only uses the report form to show the data, is lack of depth of mining and correlation analysis, and does not explore the potential value of the data and so on. This paper proposes an intelligent comprehensive analysis and decision and visualization technology architecture for power grid control data. The new system pretreats a mass of irrelevance data stored in large power grid dtabase firstly, and then combines data mining technology and business intelligent theory to analyze different business data, finally uses visualization technology to show the analysis results by a tree-dimensional way. It can supply data management and decision support for staff. |
| Key words: data mining relational analysis business intelligence big data integration of regulation |
