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: 1-19, 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

Lei Lei1, Chenxi Wang2, Hongmei Cai1, Dong Zhang3, Yusheng Zhang2, Qingyun Chen1
1State Grid (Xi’an) Environmental Protection Technology Center Co., Ltd., Xi’an 710100, Shaanxi, China
2Electric Power Research Institute of State Grid Shaanxi Electric Power Co., Ltd., Xi’an 710100, Shaanxi, China
3State Grid Shaanxi Electric Power Co., Ltd., Xi’an 710048, Shaanxi, China
Ruofan Xu1
1College of Finance and Investment, Financial Innovation and Risk Management Research Center, Hebei Finance University Baoding, 071000, Hebei, China
Li Lian1, Yongsong Huang2
1College of Physical Education, BEI JING WUZI University, BeiJing, 101149, BeiJing, China
2College of Teacher Education Normal College, Hezhou University, Hezhou 542899, Guangxi, China
Jun Lin1
1Zhengzhou University of Industry Technology,School of Art and Design; Zhengzhou 451100, Henan Province, China
Meng Lu1, Yaru Feng2
1Qufu Normal University, Qufu, 276800, Shandong, China
2Neusoft Institute Guangdong, Foshan, 528225, Guangdong, China