基于大数据的虚拟仪器关联数据库信息分析方法  

Big data-based information analysis method for virtual instrument correlation database

作　　者：夏元轶 符士侃 杜钰 石廷川 XIA Yuanyi;FU Shikan;DU yu;SHI Tingchuan(State Grid Jiangsu Electric Power Company Information and Communication Branch,Nanjing 210024,China;School of Energy and Power Engineering Nanjing University of Science and Technology,Nanjing 210094,China)

机构地区：[1]国网江苏省电力公司信息通信分公司,南京210024 [2]南京理工大学能源与动力工程学院,南京210094

出　　处：《自动化与仪器仪表》2022年第5期232-235,共4页Automation & Instrumentation

基　　金：国家自然科学基金青年科学基金项目:51607091。

摘　　要：关联数据库内存在多种信息队列结构,在实际信息分析过程中,队列结构产生数据丢失,导致最终信息分析方法的数据精度较小,针对该问题,设计基于大数据的虚拟仪器关联数据库信息分析方法。采用排序函数将各项数据处理为具有模糊性的数据文档,利用大数据检索虚拟仪器模糊逻辑,索引处理为双向结构,设置队列数据循环函数,保持队列数据中的数据完整,对应数据队列结构内产生缓冲堆栈,标定关联数据库中的预置数值,最终完成对关联数据库信息方法的设计。搭建虚拟仪器运行环境,配置关联数据库参数,准备基于XML的信息分析方法、基于储存测试的数据分析方法以及设计的数据分析方法参与测试,测试结果表明:设计的关联数据库分析方法分析数据的精度数值最大,适用于分析高精度的关联数据库。There are multiple information queue structures within the correlation database,and the queue structures produce data loss in the actual information analysis process,resulting in less data accuracy in the final information analysis method.To prove this problem,a virtual instrument correlation database information analysis method is desigend based on big data.The sorting function is used to process each data as a data document with fuzziness,and the index is processed as a bidirectional structure using big data retrieval virtual instrument fuzzy logic.The queue data loop function is set to keep the data in the queue data intact,the buffer stack is generated within the corresponding data queue structure,the preset values in the calibration association database,and the design of the information method for the association database is finally completed.Setting up the virtual instrument operating environment,configuring the parameters of the associated database,preparing XML-based information analysis methods,storage test-based data analysis methods and designed data analysis methods to participate in the test.The test results show that the designed correlation database analysis method has the largest accuracy values for analyzing data and is suitable for analyzing high-precision correlation databases.

关 键 词：大数据 虚拟仪器 关联数据库 信息分析 队列结构 数据精度 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]