Power Intelligent Service Technology Based on Fabric Consensus Mechanism

To solve the issues of low security and low efficiency of the traditional intelligent power service platform, the paper innovatively combines the blockchain Fabric with the intelligent power service to build a multi-channel intelligent power service model. The model validation results show that the concurrent time increases with the amount of request concurrency, and the concurrent time of the model reference pricing module maximizes the same concurrency at 2.36s. During the test, the increase in the amount of concurrent requests will affect the concurrent time consuming and the throughput rate of the final transaction pricing function. In the comparison experiments with other similar models, it was found that the study model throughput of more than 700 was significantly higher than that of other comparison models. In the case of network attack, with the increase of simulation time, the network security state performance of the research model is stable, and it remains above 0.9, all better than the other models. The results show that the transaction process of the research model is relatively reliable and safe. The research has an important application value in promoting the safe development of intelligent electric power service.

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Publication Details

Published
2024-09-15
DOI
https://doi.org/10.1145/3689236.3689287
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Power Intelligent Service Technology Based on Fabric Consensus Mechanism

Guohui Wei, Jiahan Wang, Wei Liu
Blockchain Technology Applications and Security
article

Power Intelligent Service Technology Based on Fabric Consensus Mechanism

Guohui Wei, Jiahan Wang, Wei Liu
article en

Abstract

To solve the issues of low security and low efficiency of the traditional intelligent power service platform, the paper innovatively combines the blockchain Fabric with the intelligent power service to build a multi-channel intelligent power service model. The model validation results show that the concurrent time increases with the amount of request concurrency, and the concurrent time of the model reference pricing module maximizes the same concurrency at 2.36s. During the test, the increase in the amount of concurrent requests will affect the concurrent time consuming and the throughput rate of the final transaction pricing function. In the comparison experiments with other similar models, it was found that the study model throughput of more than 700 was significantly higher than that of other comparison models. In the case of network attack, with the increase of simulation time, the network security state performance of the research model is stable, and it remains above 0.9, all better than the other models. The results show that the transaction process of the research model is relatively reliable and safe. The research has an important application value in promoting the safe development of intelligent electric power service.

State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 66%
Blockchain Technology Applications and Security
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