基于区块链与数据湖的电力数据存储与共享方法
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TM769

基金项目:

江苏省自然科学基金资助项目(BK20210056)


Power data storage and sharing method based on blockchain and data lake
Author:
Affiliation:

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
  • |
  • 文章评论
    摘要:

    针对电力物联网边设备之间、云主站平台营配调各系统之间的数据存储和共享的需求,提出了一种基于区块链与数据湖的电力数据存储与共享方法。首先,设计边缘层分布式电力数据存储架构,通过环签名和CryptoNote协议对边设备存储节点间的数据交互进行加密,实现双方身份认证,并基于区块链智能合约实现电力数据安全存储系统中节点间的数据共享。然后,基于数据湖与智能合约构建营配调平台间的数据共享和访问控制模型,只在链中存储数据的哈希值,而将数据存储在数据湖中,以实现数据跨平台跨域安全共享和访问。最后,搭建实验平台对所提方法进行论证,结果表明,所提方法的最高存储延迟时间短,并且吞吐量和安全性也较高,具有良好的应用前景。

    Abstract:

    Aiming at the requirements of data storage and sharing between side devices and among marketing distribution dispatching systems in cloud master station platform of power Internet of Things,a power data storage and sharing method based on blockchain and data lake is proposed. Firstly,the distributed power data storage architecture on edge layer is designed. Through ring signature and CryptoNote protocol,the data interaction between side device storage nodes is encrypted to realize the identity authentication of both parties,and the data sharing between nodes in power data security storage system is realized based on intelligent contract of blockchain. Then,the data sharing and access control model between the operation and dispatching platforms is constructed based on the data lake and the smart contract,in which the hash value of the data is stored in the blockchain,and the data is stored in the data lake,so as to realize the cross platform and cross domain secure sharing and access of data. Finally,an experimental platform is built to demonstrate the proposed method. The results show that the maximum storage delay time of the proposed method is short,and the throughput and security are also high,so it has a good application prospect.

    参考文献
    相似文献
    引证文献
引用本文

曾飞,杨雄,苏伟,肖小龙,易文飞.基于区块链与数据湖的电力数据存储与共享方法[J].电力工程技术,2022,41(3):48-54

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2021-12-25
  • 最后修改日期:2022-03-09
  • 录用日期:2021-11-29
  • 在线发布日期: 2022-05-24
  • 出版日期: 2022-05-28