Outline

Ingegneria Sismica

Ingegneria Sismica

Research on distribution network heterogeneous data evolution model based on blockchain optimization algorithm

Author(s): Yipeng Liu1, Wei Dong1, Wenting Wang1, Jun Cao1, Yuewei Tian1
1Guiyang Power Supply Bureau of Guizhou Power Grid Co., Ltd., Guiyang, Guizhou, 550001, China
Liu, Yipeng. et al “Research on distribution network heterogeneous data evolution model based on blockchain optimization algorithm.” Ingegneria Sismica Volume 43 Issue 2: 1-18, doi:10.65102/is2026698.

Abstract

Based on the introduction of blockchain technology, the article proposes Byzantine fault-tolerant consensus algorithm (DT-PBFT) based on dynamic credit mechanism, adopts credit score mechanism to protect the rights and interests of good nodes while penalizing evil nodes, and introduces a flexible dynamic adding and deleting mechanism to screen and eliminate the evil nodes. Subsequently, an on-chain and off-chain data collaborative algorithm model for blockchain traceability is proposed, which combines the master-slave replication principle to construct an on-chain log collaborative synchronization mechanism for off-chain data, takes the operation logs stored on the chain as the instruction to drive the update of off-chain traceability data, and combines with cryptographic algorithms to design the calculation method of off-chain data state, so as to achieve the collaborative feedback and sharing security between heterogeneous on-chain operation data and off-chain traceability data. Through the comparison experiments of consensus algorithms, it is proved that the DT-PBFT algorithm proposed in this paper is more flexible and efficient in the actual application process, and reduces the consumption of resources and improves energy saving at the same time. In the simulation simulation experiment of the cooperative mechanism, in the insertion time comparison, the overall efficiency of this paper’s method has been greatly improved, and there is an improvement of about 155ms under 20,000 pieces of data.

Keywords
blockchain; consensus algorithm; DT-PBFT; data collaboration; algorithmic modeling

Related Articles

Qianwen Xiong1, Yuhong Chen1
1Guangzhou University of Chinese Medicine, School of Pharmaceutical Medicine, Guangzhou,Guangdong,China,510006
Zhihao Jiang1,2, Limi Chen1,2, Jing Yang1
1Hainan Vocational University of Science and Technology, Haikou 571126, China
2Institute for Mathematical Research, Universiti Putra Malaysia, Serdang 43400, Malaysia
Limi Chen1,2, Zhihao Jiang1,2, Jing Yang1
1Hainan Vocational University of Science and Technology, Haikou 571126, China
2Institute for Mathematical Research, Universiti Putra Malaysia, Serdang 43400, Malaysia
Hui Yuan1, Minjie Chai2, Siqing Xu1, Jinsong Li1, Jinwan Zheng1
1Electric Power Research Institute, State Grid Shanxi Electric Power Co., Ltd., Taiyuan, 030001, Shanxi, China
2Jincheng Power Supply Branch, State Grid Shanxi Electric Power Co., Ltd., Jincheng, 048000, Shanxi, China
Yanhan Zhu1,2
1China Academy of Cultural Heritage, Chaoyang District, 100029, Beijing, China
2Beijing University of Civil Engineering and Architecture, Xicheng District, 100044, Beijing, China