摘要
针对单一类型数据库难以满足大电网复杂运行业务多类型查询性能需求的问题,提出一种多层图表数据融合组织技术。首先,梳理典型运行业务场景中的多类型数据检索需求,并基于数据检索需求特点提出融合层次图与二维表模型的数据组织方案;然后,在2669个厂站大电网中测试不同数据组织形式下对应数据库的检索性能。结果表明,在大电网复杂运行业务场景中,多层图表融合组织形式的检索性能优于单一的表或图以及无层次图组织形式。所提技术可为大电网多类型业务数据查询提供高效数据组织方案。
A multi-layer chart data fusion organization technology was proposed to address the problem that a single type database cannot meet the multi type query performance requirements of complex operation business in the power grid.Firstly,the multi type data retrieval requirements in typical operational business scenarios were sorted out,and a data organization scheme was proposed that integrated hierarchical graphs and two-dimensional table models based on the characteristics of data retrieval requirements;then,the retrieval performance of corresponding databases under different data organization forms were tested in 2669 large power grids of power plants.The results indicate that in complex operational scenarios of the power grids,the retrieval performance of the multi-layer chart fusion organizational form is superior to that of a single table or chart,as well as the non-hierarchical chart organizational form.The proposed technology can provide efficient data organization solutions for querying various types of business data in power grids.
作者
黄振琳
胡嘉铭
吴巨豪
李淳
汪绪先
张俊勃
Huang Zhenlin;Hu Jiaming;Wu Juhao;Li Chun;Wang Xuxian;Zhang Junbo(Electric Power Research Institute,Guangdong Power Grid Co.,Ltd.,Guangzhou Guangdong 510080,China;School of Electric Power Engineering,South China University of Technology,Guangzhou Guangdong 510641,China)
出处
《电气自动化》
2026年第1期43-45,共3页
Electrical Automation
基金
南方电网有限公司科技项目(GDKJXM20222594)
国家自然科学基金面上项目(52277101)。
关键词
电网运行业务
数据组织
数据查询
图数据库
层次图模型
power grid operation business
data organization
data query
graph database
hierarchical graph model
