Blockchain-based digital twin sharing platform for reconfigurable socialized manufacturing resource integration

Li, Ming; Li, Zhi; Huang, Xidian; Qu, Ting

doi:10.1016/j.ijpe.2021.108223

Cited by 61 publications

(14 citation statements)

References 37 publications

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“…proposed a Digital Twins sharing scheme based on Blockchain to protect the copyright and knowledge of Digital Twins during sharing and took 3D printing as an example to verify and evaluate. 27 Hemdan and Mahmoud proposed a Digital Twins framework based on Blockchain to ensure the security of each transaction during the communication between virtual assets and physical assets. 28 Putz et al.…”

Section: Discussionmentioning

confidence: 99%

BlockNet: Beyond reliable spatial Digital Twins to Parallel Metaverse

Qiao

et al. 2022

Patterns

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Section: Discussionmentioning

confidence: 99%

BlockNet: Beyond reliable spatial Digital Twins to Parallel Metaverse

Qiao

et al. 2022

Patterns

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“…However, the current blockchainbased DT solutions mostly adopt mainstream sequential chain-structured public or private blockchains, such as Ethereum (ETH) or Hyperledger Fabric (HLF). For instance, [1,31,62] use ETH while [47,49,68,88] use HLF as the underlying framework for DTs. The main reason for such trend is the increased number of implementations targeting diferent application domains while other Distributed Ledger Technologies (DLTs) may not have reached the required level of maturity in terms of implementation and may not be mature enough for mass adoption yet.…”

Section: Blockchain Typementioning

confidence: 99%

“…Smart contracts can be deployed to automate scenarios depending on the underlying application requirements. When deployed into a DT environment, the smart contracts can be used to track data sharing mechanism [34] to represent twincreation transactions [31,49,68], to store the authorization information for all involved parties [16,62], or to automate event-based interaction among machines [1]. Other examples that may involve smart contracts utilization in CPSs are triggering S&S rules (as discussed in Subsection 3.1.3), invoking PLC functions due to changing states of the physical processes, modifying simulation setup parameters, or auditing DTs by actively or retroactively monitoring smart contract transactions [73].…”

Section: Smart Contractsmentioning

confidence: 99%

“…Similarly, [62] suggested using resource-eicient byzantine-fault tolerant consensus algorithm such as Istanbul Byzantine Fault Tolerant (IBFT) as a part of future improvements to their prototype. Finally, [49] uses Raft.…”

Section: Consensus Mechanismmentioning

confidence: 99%

“…In terms of data storage, most of the existing works suggest using of-chain storage [1,16,31,49], however, do not properly implement it. For instance, Hasan et al [31] suggested using InterPlanetary File System (IPFS) storage but the details on how IPFS is used, are still missing.…”

Section: Data Storagementioning

confidence: 99%

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Blockchain-Based Digital Twins: Research Trends, Issues, and Future Challenges

et al. 2022

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Industrial processes rely on sensory data for decision-making processes, risk assessment, and performance evaluation. Extracting actionable insights from the collected data calls for an infrastructure that can ensure the dissemination of trustworthy data. For the physical data to be trustworthy, it needs to be cross-validated through multiple sensor sources with overlapping fields of view. Cross-validated data can then be stored on the blockchain, to maintain its integrity and trustworthiness. Once trustworthy data is recorded on the blockchain, product lifecycle events can be fed into data-driven systems for process monitoring, diagnostics, and optimized control. In this regard, Digital Twins (DTs) can be leveraged to draw intelligent conclusions from data by identifying the faults and recommending precautionary measures ahead of critical events. Empowering DTs with blockchain in industrial use-cases targets key challenges of disparate data repositories, untrustworthy data dissemination, and the need for predictive maintenance. In this survey, while highlighting the key benefits of using blockchain-based DTs, we present a comprehensive review of the state-of-the-art research results for blockchain-based DTs. Based on the current research trends, we discuss a trustworthy blockchain-based DTs framework. We also highlight the role of Artificial Intelligence (AI) in blockchain-based DTs. Furthermore, we discuss the current and future research and deployment challenges of blockchain-supported DTs that require further investigation.

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Blockchain Applications

Yang

Kelarev

et al. 2022

Blockchain Foundations and Applications

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is a distinguished expert in blockchain technologies and system modeling. He has a Ph.D. in Computer Sciences and has successfully initiated and participated in numerous projects, displaying exceptional skills as a concept designer, data architect, and agile manager. His expertise extends to blockchain, data processing, nonlinear systems modeling, and fintech. Currently holding positions at the Financial University under the Government of the Russian Federation, Dr. Chernyshenko continues to contribute to the evolution of blockchain technologies by supervising young researchers and collaborating with academia in quantitative finance, business analysis, and data modeling. He leads research projects, develops distributed database solutions and predictive models for oil cargo transportation analytics, and supervises a startup focused on AI-based forestry assessment.

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Blockchain-based digital twin sharing platform for reconfigurable socialized manufacturing resource integration

Cited by 61 publications

References 37 publications

BlockNet: Beyond reliable spatial Digital Twins to Parallel Metaverse

BlockNet: Beyond reliable spatial Digital Twins to Parallel Metaverse

Blockchain-Based Digital Twins: Research Trends, Issues, and Future Challenges

Blockchain Applications

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