基于数字孪生的输电线路数据管理方法研究  

Research on Data Management Method of Transmission Line Based on Digital Twin

作　　者：苏东禹 谢景海 贾祎轲 郭嘉 卢诗华 孙密 Su Dongyu;Xie Jinghai;Jia Yike;Guo Jia;Lu Shihua;Sun Mi(State Grid Jibei Economic Research Institute,Beijing,100038,China;Beijing Jingyan electric power engineering design co.,LTD,Beijing,100038,China)

机构地区：[1]冀北电力有限公司经济技术研究院,北京100038 [2]北京京研电力工程设计有限公司,北京100038

出　　处：《现代科学仪器》2021年第5期199-203,共5页Modern Scientific Instruments

基　　金：国网冀北经研院2020年技术创新成本类科技项目(B3018F20000W)。

摘　　要：由于当前输电线路数据管理中资源调度和信息调用速度慢,且数据安全系数低,导致输电线路数据管理质量不高,因此提出一种基于数字孪生的输电线路数据管理方法。将卫星影像、倾斜摄影数据、基础地理数据等作为基础数据,采用数据抽取方法对基础数据进行自适应融合和特征聚类处理,建立异构存储数据库,采用数据加密方式保护关键业务数据与用户隐私数据。在此基础上通过数字孪生聚类和清洗处理数据库中的数据,采用模糊信息聚类和粗糙集特征匹配方法进行资源调度和信息调用,结合数据移动、备份、复制等技术,实现输电线路数据管理优化。实验结果表明,采用该方法进行输电线路数据管理的资源调度与信息调用时间短,数据安全系数高,效果更好。Due to the low speed of resource scheduling and information transfer and low data safety factor in current transmission line data management,the quality of transmission line data management is poor.Taking satellite images,tilt photography data and basic geographic data as the basic data,the data extraction method is used for adaptive fusion and feature clustering processing of basic data,and heterogeneous storage database is established,and the key business data and user privacy data are protected by data encryption.On this basis,the data in the database are processed by digital twin clustering and cleaning.The fuzzy information clustering and rough set feature matching methods are used for resource scheduling and information transfer.The transmission line data management optimization is realized by combining data moving,backup and copying technology.The application results show that the resource scheduling and information transfer time of transmission line data management using this method is short,and the data security coefficient is high,and the practical application effect is better.

关 键 词：数字孪生 输电线路 基础数据 异构存储 资源调度 信息调用 

分 类 号：TM769[电气工程—电力系统及自动化]