A classification proposal of digital twin applications in the safety domain

Agnusdei, Giulio Paolo; Elia, Valerio; Gnoni, Maria Grazia

doi:10.1016/j.cie.2021.107137

Cited by 56 publications

(31 citation statements)

References 44 publications

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“…Figure 9 shows that conference papers represent 65% of the dataset according to the type of document, followed by journal articles (33%), conference reviews (7%), reviews (4%), and book chapters (1%). In the light of these results, studies that integrate DTs and safety issues can be considered as the most recent emerging research field within the wider research field of DTs [49]. Most of the articles were published in the three-year period of 2018-2020.…”

Section: Bibliometric Results On the Intersection Between The Dt And mentioning

confidence: 99%

“…The purple cluster, called "Safety engineering", regards studies about the interactions among DT data acquisition, DT data processing, and safety issues [49], as well as research regarding advanced structural simulations combined with physics-based deterioration models in order to calculate structural performance [64].…”

Section: Cluster Content Results For the Intersection Between The Dt mentioning

confidence: 99%

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Is Digital Twin Technology Supporting Safety Management? A Bibliometric and Systematic Review

2021

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In the Industry 4.0 era, digital tools applied to production and manufacturing activities represent a challenge for companies. Digital Twin (DT) technology is based on the integration of different “traditional” tools, such as simulation modeling and sensors, and is aimed at increasing process performance. In DTs, simulation modeling allows for the building of a digital copy of real processes, which is dynamically updated through data derived from smart objects based on sensor technologies. The use of DT within manufacturing activities is constantly increasing, as DTs are being applied in different areas, from the design phase to the operational ones. This study aims to analyze existing fields of applications of DTs for supporting safety management processes in order to evaluate the current state of the art. A bibliometric review was carried out through VOSviewer to evaluate studies and applications of DTs in the engineering and computer science areas and to identify research clusters and future trends. Next, a bibliometric and systematic review was carried out to deepen the relation between the DT approach and safety issues. The findings highlight that in recent years, DT applications have been tested and developed to support operators during normal and emergency conditions and to enhance their abilities to control safety levels.

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Section: Bibliometric Results On the Intersection Between The Dt And mentioning

confidence: 99%

Section: Cluster Content Results For the Intersection Between The Dt mentioning

confidence: 99%

Is Digital Twin Technology Supporting Safety Management? A Bibliometric and Systematic Review

2021

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“…Chakshu et al (2019) [98] refer to this aspect as semiactive Digital Twin. The communication dimension is referred to in other models as data acquisition [87], data integration level [86], connection [51], timing [8], or connectivity modes and update frequency [49]. The scope of the virtual entity is also described as Digital model richness, Simulation capabilities, and CPS intelligence [49], purpose [51], data processing [87], application level [8], and is considered in many of the Digital Twin terms in the level of sophistication or maturity.…”

Section: Discussionmentioning

confidence: 99%

“…The form of data flow is represented as manual, semiautomated, and fully automated in the Data integration level dimension. Authenticity describes the conformity of a Digital Twin with its physical twin.Agnusdei et al (2021)[87] focus on the safety domain in the field of manufacturing. They propose a framework that supports the assessment of current and development of new Digital Twin applications, leading to improved safety designs and safety management processes.…”

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confidence: 99%

5-Dimension Cross-Industry Digital Twin Applications Model and Analysis of Digital Twin Classification Terms and Models

Newrzella¹,

Franklin

Haider

2021

IEEE Access

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A Digital Twin is an auspicious cross-industry concept in the era of digitalization, which promises a wide range of benefits such as efficiency improvements, predictions of future opportunities and challenges, and respective recommendations. At present, a variety of definitions and terms exist, causing increasing confusion among practitioners and users. Here we address this need for consolidation with a holistic view of the Digital Twin concept across industries. We analyze classification models and Digital Twin terms in academia and industry in order to propose a 5-dimension cross-industry Digital Twin applications model. This model, based on the core three-part Digital Twin concept introduced by Grieves in 2002, enables ease of understanding and cross-industry classification and development of applications within the concept of the Digital Twin. The proposed model consists of the dimensions scope of the physical entity, feature(s) of the physical entity, form of communication, scope of the virtual entity, and user-specific outcome/value created.

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“…Moreover, more attention will be given to the ability to implement the digital twin [18] concept: future hardware will allow for a reliable real-time switch between a genuine real object and its virtual facsimile. This to facilitate human-robot interactions, adopt better engineering decisions using real-world data, and support real-time alert management systems for improving safety [19].…”

Section: Embedded Tracking Systems and Toolsmentioning

confidence: 99%

Augmented Reality in Industry 4.0 and Future Innovation Programs

et al. 2021

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Augmented Reality (AR) is worldwide recognized as one of the leading technologies of the 21st century and one of the pillars of the new industrial revolution envisaged by the Industry 4.0 international program. Several papers describe, in detail, specific applications of Augmented Reality developed to test its potentiality in a variety of fields. However, there is a lack of sources detailing the current limits of this technology in the event of its introduction in a real working environment where everyday tasks could be carried out by operators using an AR-based approach. A literature analysis to detect AR strength and weakness has been carried out, and a set of case studies has been implemented by authors to find the limits of current AR technologies in industrial applications outside the laboratory-protected environment. The outcome of this paper is that, even though Augmented Reality is a well-consolidated computer graphic technique in research applications, several improvements both from a software and hardware point of view should be introduced before its introduction in industrial operations. The originality of this paper lies in the detection of guidelines to improve the Augmented Reality potentialities in factories and industries.

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A classification proposal of digital twin applications in the safety domain

Cited by 56 publications

References 44 publications

Is Digital Twin Technology Supporting Safety Management? A Bibliometric and Systematic Review

Is Digital Twin Technology Supporting Safety Management? A Bibliometric and Systematic Review

5-Dimension Cross-Industry Digital Twin Applications Model and Analysis of Digital Twin Classification Terms and Models

Augmented Reality in Industry 4.0 and Future Innovation Programs

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