Application Research of Power Grid Full-Business Monitoring and Analysis Based on Multi-source business and data fusion

Han Min, Zhengqiang Feng, Liu Xi, Wang Dong, Xu Zhong Ping
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Abstract

With the development of power enterprise informationization after more than ten years of development, Achieve full coverage of the company's business, effectively supporting the full-business operation of the power grid, and the accumulated business data has exploded. However, there are still problems such as low data quality, insufficient integration of multi-source business and data fusion, which makes it difficult to monitor and analyze the full-business of the power grid. This paper will combine the big data technology to study how to conduct monitoring and analysis of power grid full-business operation based on multi-source business and data fusion, and realize the three-layer architecture of business and data combination layer, business and data integration layer and business and data aggregation layer. Different levels of analysis and application, such as indicator monitoring analysis, subject monitoring analysis, and special monitoring analysis, effectively support enterprise management analysis and analytical decision.
基于多源业务和数据融合的电网全业务监控与分析应用研究
随着电力企业信息化的发展经过十多年的发展,实现了公司业务的全覆盖,有效支持了电网的全业务运行,积累的业务数据呈爆炸式增长。但是,目前还存在数据质量不高、多源业务融合不充分、数据融合不充分等问题,给电网的全业务监控和分析带来困难。本文将结合大数据技术,研究如何对基于多源业务与数据融合的电网全业务运行进行监控分析,实现业务与数据结合层、业务与数据集成层、业务与数据聚合层三层架构。指标监测分析、主体监测分析、专项监测分析等不同层次的分析和应用,有效支持企业管理分析和分析决策。
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