Key Challenges and Emerging Technologies in Industrial IoT Architectures: A Review

Mirani, Akseer Ali; Velasco-Hernandez, Gustavo; Awasthi, Anshul; Walsh, Joseph

doi:10.3390/s22155836

Cited by 31 publications

(17 citation statements)

References 91 publications

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“…Generally, the above approach is another step towards the Factory of the Future [ 24 ], where complex and even conflicting customer requirements exceed the capabilities of traditional factories. The Industrial Internet of Things (IIoT) is making it possible to address the challenges of remote monitoring, intelligent analytics, and control of industrial processes in a mass production environment of 3D-printed individualized products [ 25 ]. Here, IIoT combines machines on the production line with smart sensors and effectors to optimize the approach needed for flexible manufacturing and industrial processes with data-driven condition monitoring, based on three main layers: sensor layer, edge layer, and centralized cloud [ 26 ].…”

Section: Discussionmentioning

confidence: 99%

AI-Based Support System for Monitoring the Quality of a Product within Industry 4.0 Paradigm

Rojek

Dostatni

Kopowski

et al. 2022

Sensors

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Three-dimensional (3D) printing, also known as additive manufacturing (AM), has already shown its potential in the fourth technological revolution (Industry 4.0), demonstrating remarkable applications in manufacturing, including of medical devices. The aim of this publication is to present the novel concept of support by artificial intelligence (AI) for quality control of AM of medical devices made of polymeric materials, based on the example of our own elbow exoskeleton. The methodology of the above-mentioned inspection process differs depending on the intended application of 3D printing as well as 3D scanning or reverse engineering. The use of artificial intelligence increases the versatility of this process, allowing it to be adapted to specific needs. This brings not only innovative scientific and technological solutions, but also a significant economic and social impact through faster operation, greater efficiency, and cost savings. The article also indicates the limitations and directions for the further development of the proposed solution.

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Section: Discussionmentioning

confidence: 99%

AI-Based Support System for Monitoring the Quality of a Product within Industry 4.0 Paradigm

Rojek

Dostatni

Kopowski

et al. 2022

Sensors

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“…Cyber security makes use of various measures, methods, and means to ensure that systems are protected against threats and vulnerabilities. Cyberattacks aim to gain access to connected services, resources, or systems in an attempt to compromise their confidentiality, integrity, and availability [30,31].…”

Section: Cyber Securitymentioning

confidence: 99%

“…Time delay attacks: attacks that aim to add extra time delays in equipment control measurements, generating an instability of the control system. The attacker uses a network traffic modeling tool to create discretionary delays focused on the control network [30,71].…”

mentioning

confidence: 99%

Artificial Intelligence-Based Cyber Security in the Context of Industry 4.0—A Survey

et al. 2023

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The increase in cyber-attacks impacts the performance of organizations in the industrial sector, exploiting the vulnerabilities of networked machines. The increasing digitization and technologies present in the context of Industry 4.0 have led to a rise in investments in innovation and automation. However, there are risks associated with this digital transformation, particularly regarding cyber security. Targeted cyber-attacks are constantly changing and improving their attack strategies, with a focus on applying artificial intelligence in the execution process. Artificial Intelligence-based cyber-attacks can be used in conjunction with conventional technologies, generating exponential damage in organizations in Industry 4.0. The increasing reliance on networked information technology has increased the cyber-attack surface. In this sense, studies aiming at understanding the actions of cyber criminals, to develop knowledge for cyber security measures, are essential. This paper presents a systematic literature research to identify publications of artificial intelligence-based cyber-attacks and to analyze them for deriving cyber security measures. The goal of this study is to make use of literature analysis to explore the impact of this new threat, aiming to provide the research community with insights to develop defenses against potential future threats. The results can be used to guide the analysis of cyber-attacks supported by artificial intelligence.

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“…To meet the real-time demands of networking introduced by envisioned IIoT scenarios, established specialized protocols and standards exist. At the same time, current works in research attend to IIoT-specific requirements such as scalability [6], integration of business and factory networks [7], and mobile computing [8].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Performance of Industrial IoT Communication Technologies: A Review

Behnke,

Austad

2024

IEEE Internet Things J.

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With the growing need for automation and the ongoing merge of OT and IT, industrial networks have to transport a high amount of heterogeneous data with mixed criticality such as control traffic, sensor data, and configuration messages. Current advances in IT technologies furthermore enable a new set of automation scenarios under the roof of Industry 4.0 and IIoT where industrial networks now have to meet new requirements in flexibility and reliability. The necessary real-time guarantees will place significant demands on the networks. In this paper, we identify IIoT use cases and infer real-time requirements along several axes before bridging the gap between real-time network technologies and the identified scenarios. We review real-time networking technologies and present peer-reviewed works from the past 5 years for industrial environments. We investigate how these can be applied to controllers, systems, and embedded devices. Finally, we discuss open challenges for real-time communication technologies to enable the identified scenarios. The review shows academic interest in the field of real-time communication technologies but also highlights a lack of a fixed set of standards important for trust in safety and reliability, especially where wireless technologies are concerned.

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Key Challenges and Emerging Technologies in Industrial IoT Architectures: A Review

Cited by 31 publications

References 91 publications

AI-Based Support System for Monitoring the Quality of a Product within Industry 4.0 Paradigm

AI-Based Support System for Monitoring the Quality of a Product within Industry 4.0 Paradigm

Artificial Intelligence-Based Cyber Security in the Context of Industry 4.0—A Survey

Real-Time Performance of Industrial IoT Communication Technologies: A Review

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