基于物元可拓理论的输变电工程数据分析技术  

Data analysis technology for transmission and transformation engineering based on matter element extension theory

作　　者：陈卓尔 张雯 高效海 高克 路长江 CHEN Zhuo-er;ZHANG Wen;GAO Xiao-hai;GAO Ke;LU Chang-jiang(Economic&Technology Research Institute of State Grid Shandong Electric Power Company,Jinan 250022,China;T&D Power Research(Beijing)Technology Co.,Ltd.,Beijing 102206,China)

机构地区：[1]国网山东省电力公司经济技术研究院,济南250022 [2]天地电研(北京)科技有限公司,北京102206

出　　处：《信息技术》2025年第4期116-120,共5页Information Technology

摘　　要：长期以来输变电建设工程中存在着数据质量低、来源复杂和分析困难等问题,严重制约了对相关工程数据价值的挖掘。文中基于物元可拓理论提出了一种输变电工程数据分析方法,实现对数据的深层价值挖掘。在所构建物元体系的基础上,以关联度指标为依据对各项指标进行物元分类,并以输变电工程评价指标为指导对物元分类进行多层次优化,实现基于物元可拓理论的数据分析。以实际输变电工程数据集为样本进行的验证结果表明,所提分析方法能够定量分析不同层级指标之间的关联程度,进而针对性地提出相应改进措施,而且在不同项目之间也具有良好的迁移应用能力。For a long time,there have been challenges in the construction of power transmission and transformation projects,such as low data quality,complex sources,and difficulty analysis,which seriously restrict the mining of data value in power transmission and transformation construction projects.A data analysis method for power transmission and transformation engineering is proposed based on the matter element extension theory in the article,which achieves deep value mining of the data.On the basis of the constructed matter-element system,various indicators are classified based on correlation degree indicators,and multi-level optimization of matter-element classification is carried out under the guidance of transmission and transformation engineering evaluation indicators,achieving data analysis based on matter-element extension theory.The validation results using actual transmission and transformation engineering datasets as samples show that the proposed analysis method can quantitatively analyze the degree of correlation between indicators at different levels,and then propose corresponding improvement measures.Moreover,it also has good migration and application capabilities between different projects.

关 键 词：输变电工程 数据分析 物元分析 可拓理论 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP274[自动化与计算机技术—控制科学与工程]