摘要
为缩短数据校验时间,本文设计一种基于迁移学习的网络传输异构数据一致性校验系统。首先对系统存储器展开优化,选用tms320lf2407芯片作为通讯控制器接口电路的核心芯片。再根据系统硬件优化结果,对核心电路进行重组,提出基于迁移学习的数据分类方法,并根据函数依赖原理结合处理后数据,实现网络传输异构数据一致性校验,再构建系统测试环节,经测试结果表明此系统的基础功能与性能均符合当前要求,可投入使用。
In order to shorten the data verification time, this paper designs a heterogeneous data consistency verification system based on migration learning. Firstly, the system memory is optimized. TMS320LF2407 chip is selected as the core chip of communication controller interface circuit. Then, according to the results of system hardware optimization, the core circuit is reorganized. A data classification method based on transfer learning is proposed, and the consistency verification of heterogeneous data transmitted over the network is realized according to the principle of function dependence and the processed data. The test results show that the basic functions and performance of the system meet the current requirements and can be put into use.
作者
甘润东
王策
李洵
GAN Run-dong;WANG Ce;LI Xun(Information Center of GuiZhou Power Grid Co.,Ltd.,Guiyang 550003 China)
出处
《自动化技术与应用》
2023年第1期82-85,92,共5页
Techniques of Automation and Applications
关键词
迁移学习算法
异构数据库
数据一致性检测
数据分类
transfer learning algorithm
heterogeneous database
data consistency detection
data classification
