Digital Twin conceptual framework for improving critical infrastructure resilience

Brucherseifer, Eva; Winter, Hanno; Mentges, Andrea; Mühlhäuser, Max; Hellmann, Martin

doi:10.1515/auto-2021-0104

Cited by 42 publications

(13 citation statements)

References 30 publications

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“…In short, theories and experiments on DT can be found in aerospace prototyping [30], product and manufacturing [31,32], design robotics and automation [33], biomedical, engineering, and transport applications [34], or crisis management [35], to name but a few. Finally, in recent years, it has pervaded the field of urban planning, which we intend to focus on through the review and critical analysis of some case studies.…”

Section: Digital Twin: Definitions and Conceptmentioning

confidence: 99%

Digital Twin for Urban Planning in the Green Deal Era: A State of the Art and Future Perspectives

Caprari

2022

Sustainability

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This paper provides a state of the art of contemporary Digital Twins (DTs) projects for urban planning at an international level. The contribution investigates the evolution of the DT concept and contextualises this tool within the scientific-cultural debate, highlighting the interconnection between global policies and local needs/wishes. Specifically, six case studies of DTs are compared, illustrating their application, content, technological infrastructure, and priority results. The projects presented provide an overview of the existing DT typologies, focusing on the evaluative/prefigurative use and the limits/potential of the tool in light of the socio-health, climate, and environmental crises. Reflections on DT reveal, on the one hand, its potential role in supporting decision-making and participatory processes and, on the other, the potential utopian trend of data-driven planning encouraged by public–private investments in the smart city/twin city sector. In conclusion, the study underlines the innovative role of DT as a cutting-edge scientific format in the disciplinary framework but highlights that the practical use of the tool is still in an experimental research-action phase. From this theoretical-critical review, it is possible to hypothesise new research paths to implement the realism and application potential of DTs for urban planning and urban governance.

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Section: Digital Twin: Definitions and Conceptmentioning

confidence: 99%

Digital Twin for Urban Planning in the Green Deal Era: A State of the Art and Future Perspectives

Caprari

2022

Sustainability

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“…In [2], a conceptual DT framework is presented that can be applied to monitor and improve resilience of autonomous CPS, supported by edge-fog-cloud computing. In reference [90], the authors present the benefits of simulation to manage crisis situations by analyzing how technology can impact the different resilience phases, such as anticipation, monitoring, response and learning. The works in references [91] and [92] focus on DT for online cyber-defense, and the challenges that the technology can bring to such a application area.…”

Section: E Digital Twins For Tasmentioning

confidence: 99%

Towards Trustworthy Autonomous Systems: Taxonomies and Future Perspectives

Flammini

Alcaraz

Bellini

et al. 2024

IEEE Trans. Emerg. Topics Comput.

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The class of Trustworthy Autonomous Systems (TAS) includes cyber-physical systems leveraging on self-x technologies that make them capable to learn, adapt to changes, and reason under uncertainties in possibly critical applications and evolving environments. In the last decade, there has been a growing interest in enabling artificial intelligence technologies, such as advanced machine learning, new threats, such as adversarial attacks, and certification challenges, due to the lack of sufficient explainability. However, in order to be trustworthy, those systems also need to be dependable, secure, and resilient according to well-established taxonomies, methodologies, and tools. Therefore, several aspects need to be addressed for TAS, ranging from proper taxonomic classification to the identification of research opportunities and challenges. Given such a context, in this paper address relevant taxonomies and research perspectives in the field of TAS. We start from basic definitions and move towards future perspectives, regulations, and emerging technologies supporting development and operation of TAS.

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“…In terms of improving the resilience of urban infrastructure, existing research has focused on reducing disaster risks, mitigating the consequences of disasters, and accelerating social functioning recovery [97]. Before the disaster, risk assessment strengthens risk prevention and fills in shortcomings with approaches such as the nonsimultaneous hidden Markov model [98] and the multiscale Bayesian network model [99].…”

Section: Resilience and Emcimentioning

confidence: 99%

A Review of Digital Twin Applications in Civil and Infrastructure Emergency Management

Cheng

Hou

2023

Buildings

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Natural disasters can cause severe damages to civil infrastructure and lead to extensive economic losses and casualties. To improve the emergency response capability of civil infrastructure under extreme circumstances such as natural disasters and human-caused hazards, intelligent technology for infrastructure emergency management has been extensively studied. As an emerging paradigm of interdisciplinary convergence, digital twins (DTs) can integrate intelligent technology into different stages of emergency management and provide a new solution for the emergency management of civil infrastructure (EMCI). However, applications of DT in EMCI have several limitations and are mostly case by case. However, the sector needs more generalisable lessons to address the greater value of DT in the context of EMCI. To address this gap, we first carry out a systematic literature review and analyse the latest progress and previous research deficiencies of DT by taking the scientometrical approach. Next, a framework is proposed to explain how DT can be applied to the mitigation, preparation, response, and recovery stages of EMCI. Lastly, the trends and prospects of DT applications in EMCI are discussed. Overall, the knowledge gained from this study will promote the research and development of more-viable DTs to address the sector’s demand for emergency management.

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Digital Twin conceptual framework for improving critical infrastructure resilience

Cited by 42 publications

References 30 publications

Digital Twin for Urban Planning in the Green Deal Era: A State of the Art and Future Perspectives

Digital Twin for Urban Planning in the Green Deal Era: A State of the Art and Future Perspectives

Towards Trustworthy Autonomous Systems: Taxonomies and Future Perspectives

A Review of Digital Twin Applications in Civil and Infrastructure Emergency Management

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