A Review on Industrial Augmented Reality Systems for the Industry 4.0 Shipyard

Fraga‐Lamas, Paula; Fernández‐Caramés, Tiago M.; Blanco-Novoa, Óscar; Vilar-Montesinos, Miguel

doi:10.1109/access.2018.2808326

Cited by 363 publications

(186 citation statements)

References 71 publications

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“…1) Augmented and Virtual Reality: Augmented Reality (AR) and Virtual Reality (VR) can be considered among the key technologies that promise to add new perspectives in many sectors [497]. We refer to several review articles on the stateof-the-arts in engineeing and design [498]- [502], medicine [503]- [507] and education [508]- [511]. In [3], Escorsa highlighted numerous patented developments within the digital twin context in arrangements for interaction with the human body such as, for example, "haptics" touch feedback technologies as computer generated output to the user developed by Immersion Inc.…”

Section: E Human-machine Interfacementioning

confidence: 99%

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

2020

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A digital twin can be defined as an adaptive model of a complex physical system. Recent advances in computational pipelines, multiphysics solvers, artificial intelligence, big data cybernetics, data processing and management tools bring the promise of digital twins and their impact on society closer to reality. Digital twinning is now an important and emerging trend in many applications. Also referred to as a computational megamodel, device shadow, mirrored system, avatar or a synchronized virtual prototype, there can be no doubt that a digital twin plays a transformative role not only in how we design and operate cyber-physical intelligent systems, but also in how we advance the modularity of multi-disciplinary systems to tackle fundamental barriers not addressed by the current, evolutionary modeling practices. In this work, we review the recent status of methodologies and techniques related to the construction of digital twins. Our aim is to provide a detailed coverage of the current challenges and enabling technologies along with recommendations and reflections for various stakeholders.

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Section: E Human-machine Interfacementioning

confidence: 99%

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

2020

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“…The contiguous outer circle references some of the most relevant technologies required to provide solutions for such six smart fields, including IoT, Augmented Reality (AR), Cyber-Physical Systems (CPSs), or UAVs (Unmanned Aerial Vehicles). Note that some of such technologies are the same as the ones proposed by Industry 4.0 [25], so commercial and industrial deployments are already available in other fields outside smart campuses [26,27]. Moreover, there are also vertical fields like cybersecurity that affect several of the cited technologies, since their contribution is key to avoid potential issues [28].…”

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confidence: 99%

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

2019

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Smart campuses and smart universities make use of IT infrastructure that is similar to the one required by smart cities, which take advantage of Internet of Things (IoT) and cloud computing solutions to monitor and actuate on the multiple systems of a university. As a consequence, smart campuses and universities need to provide connectivity to IoT nodes and gateways, and deploy architectures that allow for offering not only a good communications range through the latest wireless and wired technologies, but also reduced energy consumption to maximize IoT node battery life. In addition, such architectures have to consider the use of technologies like blockchain, which are able to deliver accountability, transparency, cyber-security and redundancy to the processes and data managed by a university. This article reviews the state of the start on the application of the latest key technologies for the development of smart campuses and universities. After defining the essential characteristics of a smart campus/university, the latest communications architectures and technologies are detailed and the most relevant smart campus deployments are analyzed. Moreover, the use of blockchain in higher education applications is studied. Therefore, this article provides useful guidelines to the university planners, IoT vendors and developers that will be responsible for creating the next generation of smart campuses and universities.

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“…Both AR and VR evolved remarkably in the last decade, where they proved to increase productivity [98] and to be helpful in industrial design processes [99], [100], when manufacturing certain goods [101], [102], [103], [104] or for maintaining specific industrial components [105], [106].…”

Section: E Industrial Augmented and Virtual Realitymentioning

confidence: 99%

A Review on the Application of Blockchain to the Next Generation of Cybersecure Industry 4.0 Smart Factories

2019

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Industry 4.0 is a concept devised for improving the way modern factories operate through the use of some of the latest technologies, like the ones used for creating Industrial Internet of Things (IIoT), robotics or Big Data applications. One of such technologies is blockchain, which is able to add trust, security and decentralization to different industrial fields. This article focuses on analyzing the benefits and challenges that arise when using blockchain and smart contracts to develop Industry 4.0 applications. In addition, this paper presents a thorough review on the most relevant blockchain-based applications for Industry 4.0 technologies. Thus, its aim is to provide a detailed guide for future Industry 4.0 developers that allows for determining how blockchain can enhance the next generation of cybersecure industrial applications.

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A Review on Industrial Augmented Reality Systems for the Industry 4.0 Shipyard

Cited by 363 publications

References 71 publications

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

A Review on the Application of Blockchain to the Next Generation of Cybersecure Industry 4.0 Smart Factories

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