INDUSTRIAL INNOVATIONS: INTERNET OF THINGS, BLOCKCHAIN, DIGITAL TWIN

Keywords: industrial Internet of things, blockchain, digital twin, machine learning, framework

Abstract

Investigating innovations in the industry, this article provides a systematic overview of key aspects of the Industrial Internet of Things (IIoT), machine learning, blockchain technology, digital twins, and other directions significant within Industry 4.0. The impact of these innovations on industrial operations, supply chains, and manufacturing processes is examined, emphasizing their significance and positive effects across various industrial sectors. IIoT is identified as a pivotal component in manufacturing modernization and plays a substantial role in enhancing supply chains, transportation, healthcare, and other domains. A practical example of the use of the industrial Internet of Things by the mining company Altos de Punitaqui at the Fujnada open pit is presented. Technologies supporting IIoT encompass artificial intelligence, cloud computing, big data analytics, blockchain, and virtual reality. The utilization of machine learning, based on diverse frameworks. The study results have identified the following most consumed frameworks by industrial enterprises: TensorFlow, Microsoft Cognitive Toolkit, H2O, Torch and PyTorch, Caffe, and their importance for further development in the context of IIoT is shown. Additionally, the application of blockchain technology in the mining industry is discussed, highlighting its potential in improving resource management efficiency. It is established that blockchain technology can act as a secure ledger facilitating dynamic exchange of crucial documents. The significance of digital twins as technological solutions facilitating planning and production, enabling the prediction of object performance, and refining manufacturing processes is outlined. The dynamic growth of the digital twins market and their broad applications in supply chains, technical servicing, and asset visualization contribute to increased efficiency in the industrial sector. Based on the importance of digital twins, it is noted that the ISO 23247 standard for digital twins will establish a systematic approach to their practical application in the industry. Such standardized approaches will encourage further dissemination and development of these innovations, promoting their effective integration into industrial production.

References

Statista. Internet of Things (IoT) total annual revenue worldwide from 2020 to 2030. (2023) Available at: https://www.statista.com/statistics/1194709/iot-revenue-worldwide/ (accessed November 29, 2023).

McKinsey Global Institute. (June, 2015) The internet of things: mapping the value beyond the hype. McKinsey & Company, 24 p. Available at: https://www.mckinsey.com/~/media/mckinsey/industries/technology%20media%20and%20telecommunications/high%20tech/our%20insights/the%20internet%20of%20things%20the%20value%20of%20digitizing%20the%20physical%20world/unlocking_the_potential_of_the_internet_of_things_executive_summary.pdf (accessed November 29, 2023).

Javaid M., Abid Haleem, Pratap Singh R., Rab S. & Suman R. (2021). Upgrading the manufacturing sector via applications of Industrial Internet of Things (IIoT). Sensors International, no. 2. DOI: https://doi.org/10.1016/j.sintl.2021.100129

Dong L., Mingyue R. & Guoying M. (2017) Application of Internet of Things Technology on Predictive Maintenance System of Coal Equipment. Procedia Engineering, no. 174, pp. 885–889. DOI: https://doi.org/10.1016/j.proeng.2017.01.237

Cheng J., Chen W., Tao F. & Lin C.-L. (2018) Industrial IoT in 5G environment towards smart manufacturing. Journal of Industrial Information Integration, no. 10, pp. 10–19. DOI: https://doi.org/10.1016/j.jii.2018.04.001

Matthew N. O. Sadiku, Yonghui Wang, Suxia Cui & Sarhan M. Musa. (2017) Industrial internet of things. International Journal of Advances in Scientific Research and Engineering, no. 3 (11). DOI: https://doi.org/10.7324/ijasre.2017.32538

Aguirre-Jofré, H., Eyre, M., Valerio, S., & Vogt, D. (2021). Low-cost internet of things (IoT) for monitoring and optimising mining small-scale trucks and surface mining shovels. Automation in Construction, no. 131. DOI: https://doi.org/10.1016/j.autcon.2021.103918

Statista. Industrial Internet of Things (IIoT) market size worldwide from 2020 to 2028. (2023). Available at: https://www.statista.com/statistics/611004/global-industrial-internet-of-things-market-size/ (accessed November 29, 2023).

Al-Badi A., Tarhini A. & Khan A. I. (2018) Exploring Big Data Governance Frameworks. Procedia Computer Science, no. 141, pp. 271–277. DOI: https://doi.org/10.1016/j.procs.2018.10.181

Tensorflow Available at: https://www.tensorflow.org/about (accessed November 29, 2023).

Microsoft Cognitive Toolkit. Available at: https://learn.microsoft.com/ru-ru/cognitive-toolkit/ (accessed November 29, 2023).

H2O. Available at: https://h2o.ai/

The Industrial Internet of Things (IIoT): the business guide to Industrial IoT. Available at: https://www.i-scoop.eu/internet-of-things-guide/industrial-internet-things-iiot-saving-costs-innovation/ (accessed November 29, 2023).

Chen F., Xiao Z., Cui L., Lin Q., Li J. & Yu S. (2020) Blockchain for Internet of things applications: A review and open issues. Journal of Network and Computer Applications, no. 172. DOI: https://doi.org/10.1016/j.jnca.2020.102839

World Economic Forum (July, 2018) 4 ways blockchain will transform the mining and metals industry. World Economic Forum. Available at: https://www.weforum.org/agenda/2018/07/4-ways-blockchain-will-transform-the-mining-and-metals-industry/ (accessed November 29, 2023).

Calvão F. & Archer M. (2021) Digital extraction: Blockchain traceability in mineral supply chains. Political Geography, no. 87. DOI: https://doi.org/10.1016/j.polgeo.2021.102381

Gmk.Center (2020) Why the steel industry needs blockchain. Blockchain. Available at: https://gmk.center/en/opinion/why-the-steel-industry-needs-blockchain/ (accessed May 10, 2023).

Javaid M., Haleem A. & Suman R. (2023) Digital Twin applications toward Industry 4.0: A Review. Cognitive Robotics, no. 3, pp. 71–92. DOI: https://doi.org/10.1016/j.cogr.2023.04.003

Attaran M. & Celik B. G. (2023) Digital Twin: Benefits, use cases, challenges, and opportunities. Decision Analytics Journal, no. 6. DOI: https://doi.org/10.1016/j.dajour.2023.100165

Deloitte (2021) The net zero workforce. Mining & Metals. Available at: https://www2.deloitte.com/content/dam/Deloitte/uk/Documents/energy-resources/deloitte-uk-net-zero-workforce-mining-and-metals.pdf (accessed May 10, 2023).

Shao G. & Helu M. (2020) Framework for a digital twin in manufacturing: Scope and requirements. Manufacturing Letters, no. 24, pp. 105–107. DOI: https://doi.org/10.1016/j.mfglet.2020.04.004

Article views: 57
PDF Downloads: 105
Published
2023-12-29
How to Cite
Shapurov, O. (2023). INDUSTRIAL INNOVATIONS: INTERNET OF THINGS, BLOCKCHAIN, DIGITAL TWIN. Transformational Economy, (5 (05), 115-121. https://doi.org/10.32782/2786-8141/2023-5-20