Actual problems of the full-scale digital twins technology for the complex engineering object life cycle management

Zhabitskii, Mikhail; Mel'nikov, V.L.; Boyko, Oleksiy

doi:10.1088/1755-1315/808/1/012020

Cited by 6 publications

(6 citation statements)

References 4 publications

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“…for at least two materials. [12] ZHABITSKII, MELNIKOV, and BOYKO [13] ROD'KO et al [14] address the production of a DT for the Russian KLT-6 radiotherapy system to improve users' use and make it more competitive through 3D scanning with virtual reality. A need for radiotherapy is dose reduction in healthy tissues at irradiation.…”

Section: Ionizing Radiation Metrology Projectsmentioning

confidence: 99%

See 1 more Smart Citation

Digital Twin and Physical Cyber Systems Applied to Ionizing Radiation: State of the Art in Metrology 4.0

Macedo,

Garcia,

Silva

et al. 2024

Braz. J. Rad. Sci.

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The Fourth Industrial Revolution has brought society many benefits, such as technological advances, and many challenges to be overcome. To increase the synergy between physical and digital systems, most often used in the optimization processes of physical systems, metrology 4.0 has become an essential tool for their development. A state-of-the-art paper is significant in understanding how these applications develop, focusing on Cyber-Physical Systems and Digital Twins in ionizing radiation. The online search was conducted in general and specific databases with keywords in English. Thus, twelve articles were analyzed and discussed, divided into three main themes: indirect applications, ionizing radiation metrology projects, and systematic reviews. It was possible to notice that the number of articles related to these technologies in ionizing radiation is still tiny compared to other areas, especially when compared to the industry, making it even more challenging.

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Section: Ionizing Radiation Metrology Projectsmentioning

confidence: 99%

“…ZHABITSKII, MELNIKOV, and BOYKO [13] discuss the problems that arise with the widespread introduction of DT technology for complex engineering objects based on nuclear energy experience. According to the authors, the large number and complexity of the tasks will increase in the future.…”

Section: Systematic Reviewsmentioning

confidence: 99%

Digital Twin and Physical Cyber Systems Applied to Ionizing Radiation: State of the Art in Metrology 4.0

Macedo,

Garcia,

Silva

et al. 2024

Braz. J. Rad. Sci.

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“…For example, DT of the power plant and robotic manipulators can decrease the cost and eases the planning and implementation of decommissioning. A DT provides comprehensive testing, simulating and analysing capabilities by enabling scrolling over time and repeating or forecasting previous and future events which was not possible before [82]. Patterson et al proposed a conceptual framework for an integrated nuclear digital environment.…”

Section: Digital Twins For Decommissioning Nuclear Facilitiesmentioning

confidence: 99%

“…On the other hand, digitalisation also comes with its very own problems such as communication requirements for real‐time data exchange between physical asset and cyber assets such as the DT, as well as cybersecurity aspects of the system [82].…”

Section: Related Work: Mr Fleetsmentioning

confidence: 99%

Lessons learned: Symbiotic autonomous robot ecosystem for nuclear environments

Mitchell,

Emor Baniqued,

Zahid

et al. 2023

IET Cyber-Syst and Robotics

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Nuclear facilities have a regulatory requirement to measure radiation levels within Post Operational Clean Out (POCO) around nuclear facilities each year, resulting in a trend towards robotic deployments to gain an improved understanding during nuclear decommissioning phases. The UK Nuclear Decommissioning Authority supports the view that human‐in‐the‐loop (HITL) robotic deployments are a solution to improve procedures and reduce risks within radiation characterisation of nuclear sites. The authors present a novel implementation of a Cyber‐Physical System (CPS) deployed in an analogue nuclear environment, comprised of a multi‐robot (MR) team coordinated by a HITL operator through a digital twin interface. The development of the CPS created efficient partnerships across systems including robots, digital systems and human. This was presented as a multi‐staged mission within an inspection scenario for the heterogeneous Symbiotic Multi‐Robot Fleet (SMuRF). Symbiotic interactions were achieved across the SMuRF where robots utilised automated collaborative governance to work together, where a single robot would face challenges in full characterisation of radiation. Key contributions include the demonstration of symbiotic autonomy and query‐based learning of an autonomous mission supporting scalable autonomy and autonomy as a service. The coordination of the CPS was a success and displayed further challenges and improvements related to future MR fleets.

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“…A recent systematic literature review characterising and typifying can be found in Jones et al (2020). Existing works on digital twins for radioactive waste management pick out details from global assessments like energy security (Sotnyk et al 2021), life cycle assessment (Zhabitskii et al 2021), nuclear power stations (non-failure analysis (Ibrion et al 2020), decommissioning (Jharko et al 2021), training personnel (Popov et al 2021)) to very specific aspects (material damages of container seals (Gu et al 2022)).…”

Section: Introductionmentioning

confidence: 99%

Digitalisation for nuclear waste management: predisposal and disposal

et al. 2023

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Data science (digitalisation and artificial intelligence) became more than an important facilitator for many domains in fundamental and applied sciences as well as industry and is disrupting the way of research already to a large extent. Originally, data sciences were viewed to be well-suited, especially, for data-intensive applications such as image processing, pattern recognition, etc. In the recent past, particularly, data-driven and physics-inspired machine learning methods have been developed to an extent that they accelerate numerical simulations and became directly usable for applications related to the nuclear waste management cycle. In addition to process-based approaches for creating surrogate models, other disciplines such as virtual reality methods and high-performance computing are leveraging the potential of data sciences more and more. The present challenge is utilising the best models, input data and monitoring information to integrate multi-chemical-physical, coupled processes, multi-scale and probabilistic simulations in Digital Twins (DTw) able to mirror or predict the performance of its corresponding physical twins. Therefore, the main target of the Topical Collection is exploring how the development of DTw can benefit the development of safe, efficient solutions for the pre-disposal and disposal of radioactive waste. A particular challenge for DTw in radioactive waste management is the combination of concepts from geological modelling and underground construction which will be addressed by linking structural and multi-physics/chemistry process models to building or tunnel information models. As for technical systems, engineered structures a variety of DTw approaches already exist, the development of DTw concepts for geological systems poses a particular challenge when taking the complexities (structures and processes) and uncertainties at extremely varying time and spatial scales of subsurface environments into account.

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Actual problems of the full-scale digital twins technology for the complex engineering object life cycle management

Cited by 6 publications

References 4 publications

Digital Twin and Physical Cyber Systems Applied to Ionizing Radiation: State of the Art in Metrology 4.0

Digital Twin and Physical Cyber Systems Applied to Ionizing Radiation: State of the Art in Metrology 4.0

Lessons learned: Symbiotic autonomous robot ecosystem for nuclear environments

Digitalisation for nuclear waste management: predisposal and disposal

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