Blockchain Assisted Industrial Data Registration and Reconstruction Management Scheme

As a typical Industrial Internet of Things (IIOT) application, three-dimensional point cloud reconstruction brings us benefits and convenience. The reconstructed mathematical models can be employed to facilitate precise quality control, which is important for the usage of the reconstructed products. Conversely, traditional reconstruction methods are characterized by inefficiency, and the errors inherent in each phase of the reconstruction chain often remain opaque and vulnerable to tampering. Hence, we propose a blockchain assisted industrial data registration and reconstruction management scheme (BIRMS). First, the tamper-proof and distributed storage characteristics of blockchain are fully utilized to ensure the authenticity and transparency of output errors throughout the reconstruction process. It is worth noting that smart contracts are designed to facilitate the management and query of on-chain data. Then, a novel swarm intelligence algorithm called EGWODA is designed to handle the issue which is low efficiency in the registration step of reconstruction. Finally, simulation results indicate the feasibility and efficiency of the BIRMS.

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Publication Details

Journal
IEEE Transactions on Network Science and Engineering
Published
2025-03-04
DOI
https://doi.org/10.1109/tnse.2025.3547409
Citations
2
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
6.49

Funders

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article

Blockchain Assisted Industrial Data Registration and Reconstruction Management Scheme

Chunqiang Hu, Arwa Alrawais, Zewei Liu, Tao Xiang et al.
2 citations
IEEE Transactions on Network Science and Engineering
Technology and Data Analysis
6.49
article

Blockchain Assisted Industrial Data Registration and Reconstruction Management Scheme

Chunqiang Hu, Arwa Alrawais, Zewei Liu, Tao Xiang, Ruifeng Zhao, Pengfei Hu
article en
2 citations

Abstract

As a typical Industrial Internet of Things (IIOT) application, three-dimensional point cloud reconstruction brings us benefits and convenience. The reconstructed mathematical models can be employed to facilitate precise quality control, which is important for the usage of the reconstructed products. Conversely, traditional reconstruction methods are characterized by inefficiency, and the errors inherent in each phase of the reconstruction chain often remain opaque and vulnerable to tampering. Hence, we propose a blockchain assisted industrial data registration and reconstruction management scheme (BIRMS). First, the tamper-proof and distributed storage characteristics of blockchain are fully utilized to ensure the authenticity and transparency of output errors throughout the reconstruction process. It is worth noting that smart contracts are designed to facilitate the management and query of on-chain data. Then, a novel swarm intelligence algorithm called EGWODA is designed to handle the issue which is low efficiency in the registration step of reconstruction. Finally, simulation results indicate the feasibility and efficiency of the BIRMS.

IEEE Transactions on Network Science and EngineeringVol. 12(3)
Prince Sattam Bin Abdulaziz University (SA), Chongqing University (CN), China Southern Power Grid (China) (CN), Shandong University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 5%
Technology and Data Analysis
6.49
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Blockchain Assisted Industrial Data Registration and Reconstruction Management Scheme — Chunqiang Hu, Arwa Alrawais, et al. · IEEE Transactions on Network Science and Engineering (2025) | TGRS Research Map | TGRS