数据与计算发展前沿2026，Vol.8Issue(3)：96-109,14.DOI:10.11871/jfdc.issn.2096-742X.2026.03.009
多源异构数据高质量数据集构建与关联敏感性分析识别技术研究
Research on Technology for Construction of High-Quality Multi-Source Heterogeneous Data Sets and Analysis&Identification of Associated Sensitivity
摘要
Abstract
[Background]In the digital era,multi-source heterogeneous data have experienced explosive growth,and its enormous inherent value has become increasingly prominent.Provincial state grid process over 100 million network access logs daily,covering diverse data types such as nu-merical data,command category data,and alarm text types data.These data are widely distribut-ed in key business scenarios including dispatching automation systems,the Internet of Things,and new energy grid-connected monitoring,containing huge value in supporting intelligent decision-making of power grids,equipment status prediction,and safety risk prevention and control.However,data quality defects and associated sensitivity risks have become prominent bottlenecks restricting the realization of data value.[Methods]To this end,this paper focuses on technologies for constructing high-quality datasets of multi-source heterogeneous data and analyzing and identifying associated sensitivity.In terms of high-quality dataset construc-tion,the MTabGen method based on a diffusion model is proposed,which realizes high-precision imputation of data defects through multi-modal joint optimization.In the aspect of data association sensitivity analysis,the graph convolutional neural network DGDCN is proposed to construct data association graphs and identify sensi-tive association paths.[Results]Experimental verification shows that the MTabGen method is significantly supe-rior to traditional data construction methods in terms of accuracy and completeness indicators;the graph convolu-tional neural network DGDCN comprehensively outperforms traditional machine learning methods in precision,recall,and F1-score.关键词
多源异构数据/数据集构建/数据关联/数据敏感性Key words
multi-source heterogeneous data/dataset construction/data association/data sensitivity引用本文复制引用
王迪,安冰,冯函宇,范梓豪,李明翰,茹一伟..多源异构数据高质量数据集构建与关联敏感性分析识别技术研究[J].数据与计算发展前沿,2026,8(3):96-109,14.基金项目
国网大数据中心基于大模型的数据安全风险自动化研判处置关键技术研究项目(SGSJ0000HGJS2500036) （SGSJ0000HGJS2500036）
