Blockchain Assisted Industrial Data Registration and Reconstruction Management Scheme

IF 6.7 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2025-03-04 DOI:10.1109/TNSE.2025.3547409

Zewei Liu;Chunqiang Hu;Ruifeng Zhao;Pengfei Hu;Arwa Alrawais;Tao Xiang

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引用次数: 0

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.

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区块链辅助工业数据登记和重建管理方案

三维点云重建作为典型的工业物联网（IIOT）应用，给我们带来了诸多好处和便利。重建的数学模型可用于精确的质量控制，这对重建产品的使用具有重要意义。相反，传统的重建方法的特点是效率低下，重建链的每个阶段固有的错误往往是不透明的，容易被篡改。因此，我们提出了区块链辅助工业数据注册和重建管理方案（BIRMS）。首先，充分利用区块链的防篡改和分布式存储特性，保证整个重建过程中输出错误的真实性和透明性。值得注意的是，智能合约的设计是为了方便对链上数据的管理和查询。然后，设计了一种新的群智能算法EGWODA来解决重建配准步骤效率低的问题。仿真结果表明了该系统的可行性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.