Journal
IEEE INTERNET COMPUTING
Volume 26, Issue 3, Pages 58-67Publisher
IEEE COMPUTER SOC
DOI: 10.1109/MIC.2021.3059320
Keywords
Industrial Internet of Things; Blockchain; Distributed databases; Data models; Industries; Monitoring; Digital twin; Digital Twins (DTs); Blockchain; Industrial Internet of Things (IIoT); Sensors; Data security and trust
Categories
Funding
- Institute of Information & Communications Technology Planning & Evaluation (IITP) - Ministry of Science and ICT (MSIT), Korea government [2019-0-01287]
- MSIT, South Korea, under the Grand Information Technology Research Center support Program [IITP-2020-2015-0-00742]
- Institute for Information & Communication Technology Planning & Evaluation (IITP), Republic of Korea [2019-0-01287-004] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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This article introduces a blockchain-based framework for the Industrial Internet of Things (IIoT) and discusses the integration of digital twins and blockchain to address data management and security issues. The article also identifies challenges faced by the IIoT and suggests future research directions.
Industrial processes rely on sensory data for critical decision-making processes. Extracting actionable insights from the collected data calls for an infrastructure that can ensure the trustworthiness of data. To this end, we envision a blockchain-based framework for the Industrial Internet of Things (IIoT) to address the issues of data management and security. Once the data collected from trustworthy sources are recorded in the blockchain, product lifecycle events can be fed into data-driven systems for process monitoring, diagnostics, and optimized control. In this regard, we leverage digital twins (DTs) that can draw intelligent conclusions from the data by identifying the faults and recommending precautionary measures ahead of critical events. Furthermore, we discuss the integration of DTs and blockchain to target key challenges of disparate data repositories, untrustworthy data dissemination, and fault diagnosis. Finally, we identify outstanding challenges faced by the IIoT and future research directions while leveraging blockchain and DTs.
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