Digital Twin: A Conceptual View

Stjepandić, Josip; Sommer, Markus; Stobrawa, Sebastian

doi:10.1007/978-3-030-77539-1_3

Cited by 4 publications

(11 citation statements)

References 69 publications

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“…The concept of a digital twin (DT) is a relatively new concept (Azevedo et al, 2020;Lo et al, 2021;Stjepandic et al, 2022). Stark and Damerau (2019) provide a formal definition: "A digital twin is a digital representation of an active unique product (real device, object, machine, service, or intangible asset) or unique productservice system (a system consisting of a product and a related service) that comprises its selected characteristics, properties, conditions, and behaviors by means of models, information, and data within a single or even across multiple life cycle phases."…”

Section: Digital Twinsmentioning

confidence: 99%

“…In addition, the implementation of DT in the design process assists in processes such as design decision making, manufacturing planning, and product health monitoring (Lo et al, 2021). Stjepandic et al (2022) state that the lack of diffusion of DT in industry is due to the complexity and need for niche expertise. New methods, cases, and novel applications are needed to further implement DT in industry.…”

Section: Digital Twinsmentioning

confidence: 99%

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Knowledge-based engineering and computer vision for configuration-based substation design

2023

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Introduction: As the increase in electrification poses new demands on power delivery, the quality of the distribution system is paramount. Substations are a critical part of power grids that allow for control and service of the electrical distribution system. Substations are currently developed in a project-based and manually intensive manner, with a high degree of manual work and lengthy lead times. Substations are primarily sold through tenders that are accompanied by an inherent need for engineering-to-order activities. Although necessary, these activities present a paradox as tender processes must be agile and fast. To remedy this shortcoming, this article outlines a knowledge capture and reuse methodology to standardize and automate the product development processes of substation design.Methods: A novel framework for substation design is presented that implements knowledge-based engineering (KBE) and artificial intelligence methods in computer vision to capture knowledge. In addition, a product configuration system is presented, utilizing high-level CAD templates. The development has followed the KBE methodology MOKA.Results: The proposed framework has been implemented on several company cases where three (simplified) are presented in this paper. The framework decreased the time to create a 3D model from a basic electric single line diagram by performing the identification and design tasks in an automated fashion.Discussion: Ultimately, the framework will allow substation design companies to increase competitiveness through automation and knowledge management and enable more tenders to be answered without losing engineering quality.

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Section: Digital Twinsmentioning

confidence: 99%

Section: Digital Twinsmentioning

confidence: 99%

Knowledge-based engineering and computer vision for configuration-based substation design

2023

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“…In reality, SIoT tries to be inspired by different social relationships, such as ownership object relationship (OOR), parental object relationship (POR), co-work object relationship (C-WOR), co-location object relationship (C-LOR), and social object relationship (SOR) to overcome some IoT challenges in different fields, such as higher-level communication, scalability, and knowledge extraction [3]. Social objects must have the proper processing intelligence and storage capability, which gave way to a technology known as Digital Twin [4,5] (virtual object or device shadow [6,7]) in contemporary architectures, besides differ-ent hardware advancements. Therefore, objects can interact with their cohorts or members from other groups in the SIoT environment and share their services.…”

Section: Introductionmentioning

confidence: 99%

SybilPSIoT: Preventing Sybil attacks in signed social internet of things based on web of trust and smart contract

Dayyani,

Abbaspour

2024

IET Communications

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Sybil attacks are a very serious challenge in social networks including, the Social Internet of Things (SIoT). This paper introduces the SybilPSIoT method, in which a hybrid prevention and detection decentralized approach is proposed in SIoT based on smart contracts. The owner adds his objects to the smart contract. However, hostile owners can create Sybil things. This paper formally presents a model that uses a signed SIoT network with objects and identifiers as network nodes and information about the type of nodes (acknowledgers). Assuming the relationship between the edge marks between nodes and the node type, the proposed method uses trust paths between verification and desired nodes using a Bayesian inference model and structural balance patterns to judge the target node in these paths. It also uses game theory to control access owners to prevent Sybil from creating new things based on a cost‐benefit function. Based on the analysis method, a validating effect proportional to the path length on the target object was presented. This method was compared with the most novel available methods; the results from this comparison depict the scalability and effectiveness of the proposed method for large networks.

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“…It is related to correct functioning models and things like this that often correct the natural behaviour of a model or system. Naturally, these online resources are connected to the physical world by networks such as the Internet of Things to interact with real-world components [6]. Therefore, in Figure 1, the connection between the physical world, cyberspace and network communication is shown.…”

Section: Introductionmentioning

confidence: 99%

A Review of Digital Twins and Their Application in Cybersecurity Based on Artificial Intelligence

Homaei,

Mogollón Gutiérrez,

Sancho Núñez

et al. 2023

Preprint

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The potential of digital twin technology is yet to be fully realised due to its diversity and untapped potential. Digital twins enable systems’ analysis, design, optimisation, and evolution to be performed digitally or in conjunction with a cyber-physical approach to improve speed, accuracy, and efficiency over traditional engineering methods. Industry 4.0, factories of the future, and digital twins continue to benefit from the technology and provide enhanced efficiency within existing systems. Due to the lack of information and security standards associated with the transition to cyber digitisation, cybercriminals have been able to take advantage of the situation. Access to a digital twin of a product or service is equivalent to threatening the entire collection. There is a robust interaction between digital twins and artificial intelligence tools, which leads to strong interaction between these technologies, so it can be used to improve the cybersecurity of these digital platforms based on their integration with these technologies. This study aims to investigate the role of artificial intelligence in providing cybersecurity for digital twin versions of various industries, as well as the risks associated with these versions. In addition, this research serves as a road map for researchers and others interested in cybersecurity and digital security.

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Digital Twin: A Conceptual View

Cited by 4 publications

References 69 publications

Knowledge-based engineering and computer vision for configuration-based substation design

Knowledge-based engineering and computer vision for configuration-based substation design

SybilPSIoT: Preventing Sybil attacks in signed social internet of things based on web of trust and smart contract

A Review of Digital Twins and Their Application in Cybersecurity Based on Artificial Intelligence

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