Frontiers of Data and Computing ›› 2021, Vol. 3 ›› Issue (1): 48-59.doi: 10.11871/jfdc.issn.2096-742X.2021.01.004

• Technology Applicaton of Blockchain • Previous Articles     Next Articles

Trading Platform of Power Data Asset Based on Consortium Blockchain

GUO Yi1,2(),YU Lei1,2,*(),ZHANG Hanwen1,2(),YAN Yong3(),SUN Yi1,2()   

  1. 1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
    2. School of Computer Science and Technology, University of Chinese Academy of Sciences,Beijing 100049, China
    3. State Grid Electric Power Research Institute in ZheJiang Province, Hangzhou, Zhejiang 310014, China
  • Received:2020-08-27 Online:2021-02-20 Published:2021-02-07
  • Contact: YU Lei;;;;


[Background] In the application of power data management, the STATE GRID faces the problem of “data island” and “value island”. [Objective] It is possible to design and implement a trading platform for power data assets based on blockchain to share power data between different authorities. [Methods] Based on the Ethereum blockchain, we propose a random verification model of identity management based on smart contracts, adopt a POA consensus mechanism which is more suitable for consortium blockchain to keep data consistency among nodes on the chain, implement a periodic synchronization mechanism based on the blockchain monitoring account, and use B+ tree to make data access permission tracking mechanism. [Results] We develop a platform that integrates power data publication, purchase of access rights, and transfer of access rights based on consortium blockchain, achieve identity verification management involving multiple verification nodes, avoid wicked nodes’ bad behavior because of single node’s trust, guarantee the high efficiency and high safety, solve the problem of low reading efficiency of blockchain in some scenes, and demonstrate the advantages in tracking power data access rights.

Key words: consortium blockchain, power data, data island, identify authentication, consensus mechanism