混合属性大数据的分类存储系统设计  

Classification and storage system design of mixed attribute big data

作　　者：张景明 洪周真言 方舟 程清 张吉 ZHANG Jingming;HONG Zhouzhenyan;FANG Zhou;CHENG Qing;ZHANG Ji(State Grid Zhejiang Information and Communication Company,Hangzhou 310016,China)

机构地区：[1]国网浙江省电力有限公司信息通信分公司,浙江杭州310016

出　　处：《电子设计工程》2021年第2期190-193,共4页Electronic Design Engineering

基　　金：国网浙江省电力有限公司科技项目(5211XT17000B)。

摘　　要：为妥善分割处于混合状态的大数据信息参量,实现对结构化信息主体的分类存储,设计混合属性大数据的分类存储系统。按照NetLinx架构中的大数据信息分类需求,连接OMRON数据传感器与混合通信模块,实现分类存储系统的硬件执行环境搭建。在此基础上,建立分类型匹配单元,通过测量大数据属性相似性的方式,计算混合信息参量的应用分割半径,实现系统的软件执行环境搭建,联合相关硬件执行结构,完成混合属性大数据的分类存储系统设计。对比实验结果表明,与传统PLC存储控制系统相比,应用新型分类存储系统后,实现了对混合大数据信息参量的妥善分割,满足结构化信息主体的分类存储需求。In order to segment the big data information parameters in the mixed state properly and realize the classified storage of structured information subjects,a classified storage system of big data with mixed attributes was designed.Classify requirements according to big data information in NetLinx architecture,OMRON data sensor and hybrid communication module are connected to realize the establishment of hardware execution environment of classification storage system.On this basis,the sub-type matching unit is established,the application segmentation radius of mixed information parameters is calculated by measuring the similarity of big data attributes,the software execution environment of the system is built,the relevant hardware execution structure is combined,and the classification and storage system design of mixed attribute big data is completed.Compared with the traditional PLC storage and control system,the new classification and storage system realizes the proper segmentation of the mixed big data information parameters and meets the classification and storage requirements of the structured information subject.

关 键 词：混合属性 大数据 分类存储 NetLinx架构 OMRON传感器 匹配单元 

分 类 号：TN929[电子电信—通信与信息系统]