基于分层哈希编号的智能制造产线数据同步方法
作者:
作者单位:

南京航空航天大学计算机科学与技术学院/人工智能学院,南京,211106

作者简介:

通讯作者:

基金项目:

国家重点研究计划(2018YFB1702700)资助项目。


Data Synchronization Method of Intelligent Manufacturing Production Line Based on Hierarchical Hash Number
Author:
Affiliation:

College of Computer Science and Technology / College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
    摘要:

    海量数据存储和同步是智能制造产线中的重要问题。当前数据同步的主流方法是远程同步(Remote synchronization, RSYNC)算法,采用同步增量数据的方法减少数据传输量。智能制造产线产生的数据层次结构深、目录结构复杂,导致同步时评估时间长。为此提出分层哈希编号算法进行同步,基于数据分层对数据文件编号,使用散列表记录层次信息,快速比对差异数据,并对不同类型的差异数据采用不同备份策略。实验结果表明,与标准RSYNC相比,该方法有效减少了RSYNC评估的数据量,有效降低了同步时间,提高了同步备份效率。

    Abstract:

    Mass data storage and synchronization are important issues in intelligent manufacturing production lines. The current mainstream method of data synchronization is remote synchronization (RSYNC) algorithm. It uses the method of synchronizing incremental data to reduce the amount of data transmission. The data generated by the intelligent manufacturing line has a deep hierarchical structure and a complex directory structure, thus leading to a long evaluation time during synchronization. Here, a hierarchical Hash numbering algorithm is proposed for synchronization based on data hierarchical numbering of data files, by using a Hash table to record hierarchical information, quickly comparing differential data, and adopting different backup strategies for different types of differential data. Experimental results show that compared with standard RSYNC, the proposed method effectively reduces the amount of data evaluated by RSYNC and synchronization time, which also improves synchronization backup efficiency.

    参考文献
    相似文献
    引证文献
引用本文

燕雪峰,丁叶.基于分层哈希编号的智能制造产线数据同步方法[J].数据采集与处理,2020,35(5):834-841

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
历史
  • 收稿日期:2020-07-31
  • 最后修改日期:2020-08-18
  • 录用日期:
  • 在线发布日期: 2020-10-22