A Cross-domain Data Trusted Fusion Method of Energy IoT Based on Blockchain and Metadata
Ruijia Fan, Liang Yin, Shengyu Gao, Weiya Zhang, Qiang Li, Feng Zhao · 2023
As the energy Internet of Things (IoT) develops by leaps and bounds, energy sources are no longer planned separately, and the integration of energy cross-domain data is imminent. However, due to the scattered and chaotic levels of energy subjects, cross-domain integration faces the problems of complex processes and low credibility. In this paper, a cross-domain data trusted fusion method of energy IoT based on blockchain and metadata is designed, which realizes the whole process supervision, standardizes the energy data storage and integration mode, ensures the security of the system, reduces the consumption of resources, and improves work efficiency.