Smart contract method for identity recognition based on hydrogen energy users

Qing Wang; Zhen Jing; Zhi Zhang; Pingxin Wang; Hongxia Zhu

doi:10.1117/12.3012556

21 December 2023 Smart contract method for identity recognition based on hydrogen energy users

Qing Wang, Zhen Jing, Zhi Zhang, Pingxin Wang, Hongxia Zhu

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129701F (2023) https://doi.org/10.1117/12.3012556
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

The massive installation of smart meters on the customer side plays an important role in the collection and analysis of multi-user data. However, the current way of power grid collecting electricity data is consistent with the centralized grid control, and this way cannot cope with the new demand of multiparty data interaction and integration in the future. Blockchain technology integrates cryptography, distributed ledger technology and data sharing, which can enhance the security of power measurement data. To improve the performance of power data transmission and transaction, this paper combines blockchain smart contracts with the practicality in the field of power measurement, and proposes a smart contract based on the identification of hydrogen energy users, which analyzes the nodes containing hydrogen energy and identifies different nodes to complete the contract.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qing Wang, Zhen Jing, Zhi Zhang, Pingxin Wang, and Hongxia Zhu "Smart contract method for identity recognition based on hydrogen energy users", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129701F (21 December 2023); https://doi.org/10.1117/12.3012556

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