基于决策粗糙集的多源异构电网数据整合方法  

Data Integration Method of Multi-source Heterogeneous Power Grid Based on Decision Rough Set

作　　者：郭良 郑晓斌 段春明 王卓 鲁兵 Guo Liang;Zheng Xiaobin;Duan Chunming;Wang Zhuo;Lu Bing(Engineering Management Branch,Jibei Electric Power Co.,Ltd.of State Grid,Beijing 100070,China)

机构地区：[1]国网冀北电力有限公司工程管理分公司,北京100070

出　　处：《兵工自动化》2025年第1期48-52,共5页Ordnance Industry Automation

摘　　要：为解决多源异构电网数据整合耗时较长的问题,提出应用决策粗糙集的数据整合模型。通过纵向融合、横向融合2个环节,完成多源异构电网数据的融合处理,再应用并行化正向最大匹配去冗算法,删除融合数据中存在的重复冗余信息;依托决策粗糙集对电网数据进行属性约简,去除具有干扰作用的噪声条件属性,再从约简决策表内提取模糊分类规则,实现电网数据的分类整合管理;创建基于数据关联度的整合数据修复方案,完成数据整合模型的设计。实验结果表明:应用所提模型对43700条多源异构电网数据进行整合处理,所需的数据整合时间为5.9 s,符合实时性要求。In order to solve the time-consuming problem of multi-source heterogeneous power grid data integration,a data integration model based on decision rough set is proposed.Through vertical fusion and horizontal fusion,the fusion processing of multi-source heterogeneous power grid data is completed,and then the parallel forward maximum matching redundancy removal algorithm is applied to delete the redundant information in the fusion data;Based on decision rough set,the attribute reduction of power grid data is carried out to remove the noise condition attributes with interference,and then the fuzzy classification rules are extracted from the reduction decision table to realize the classification and integration management of power grid data.The integration data repair scheme based on data correlation is created to complete the design of data integration model.The experimental results show that the proposed model is applied to the integration of 43700 multi-source heterogeneous power grid data,and the required data integration time is 5.9 s,which meets the real-time requirements.

关 键 词：决策粗糙集 异构数据 电网 数据整合 正向最大匹配原则 关联度 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]