Blockchain-Based Network Alignment System for Power Equipment Data Inconsistency

【Author】 Cai, Yuxiang; Jiang, Xin; Yang, Qifan; Zhao, Wenhao; Lin, Chen

【Source】ADVANCED INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, ICIC 2023, PT I

【影响因子】

【Abstract】This paper resolves the problem of data inconsistencies and redundancies in the current equipment management system of State Grid Corporation of China (SGCC). We propose a blockchain-based network alignment system (BNAS). Our system offers three key features: fine-grained access control, efficient equipment data synchronization, and retrieval of similar equipment data, improving data management and accuracy during data updates. Specifically, the proposed system utilizes blockchain to connect multiple equipment data sources and employs representation learning techniques to match similar items. An efficient compression algorithm that utilizes composite hashing is proposed to improve the synchronization speed and reduce the storage burden of blockchain by approximately 43%. Moreover, we introduce HAC (Hierarchy Access Control) Tree, a novel data structure that mimics SGCC's affiliations to manage staff's permission to update equipment data. The evaluation results demonstrate BNAS's efficiency in dealing with power equipment data inconsistencies.

【Keywords】Blockchain; Access Control; Data Inconsistency; Network Alignment; Representative Learning

【发表时间】2023

【收录时间】2024-11-27

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