Internet of Things Ontology for Digital Twin in Cyber Physical Systems

Steinmetz, Charles; Rettberg, Achim; Ribeiro, Fabíola Gonçalves C.; Schroeder, Greyce N.; Pereira, Carlos Eduardo

doi:10.1109/sbesc.2018.00030

Cited by 48 publications

(19 citation statements)

References 21 publications

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“…An automatic deployment is not explicitly described, but the creation of DTs for described along an industrial use-case in an extensive manner. Steinmetz et al (2017Steinmetz et al ( , 2018 propose a tool to use ontologies for complex applications from different domains that need to share interpretable information for a common manufacturing purpose. The tool aims to facilitate the creation of Internet of Things (IoT) applications (Steinmetz et al 2017) and CPS entities (Steinmetz et al, 2018).…”

Section: Automated Ontology-based Creation Of Digital Twinsmentioning

confidence: 99%

Pipeline for ontology-based modeling and automated deployment of digital twins for planning and control of manufacturing systems

et al. 2021

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The demand for individualized products drives modern manufacturing systems towards greater adaptability and flexibility. This increases the focus on data-driven digital twins enabling swift adaptations. Within the framework of cyber-physical systems, the digital twin is a digital model that is fully connected to the physical and digital assets. A digital model must follow a standardization for interoperable data exchange. Established ontologies and meta-models offer a basis in the definition of a schema, which is the first phase of creating a digital twin. The next phase is the standardized and structured modeling with static use-case specific data. The final phase is the deployment of digital twins into operation with a full connection of the digital model with the remaining cyber-physical system. In this deployment phase communication standards and protocols provide a standardized data exchange. A survey on the state-of-the-art of these three digital twin phases reveals the lack of a consistent workflow from ontology-driven definition to standardized modeling. Therefore, one goal of this paper is the design of an end-to-end digital twin pipeline to lower the threshold of creating and deploying digital twins. As the task of establishing a communication connection is highly repetitive, an automation concept by providing structured protocol data is the second goal. The planning and control of a line-less assembly system with manual stations and a mobile robot as resources and an industrial dog as the product serve as exemplary digital twin applications. Along this use-case the digital twin pipeline is transparently explained.

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Section: Automated Ontology-based Creation Of Digital Twinsmentioning

confidence: 99%

Pipeline for ontology-based modeling and automated deployment of digital twins for planning and control of manufacturing systems

et al. 2021

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“…Digital twins enable new potential outcomes as far as monitoring, simulating, optimising and predicting the condition of cyber-physical systems (CPSs) is concerned. They also provide humans with continual feedback to improve personal satisfaction and prosperity (Steinmetz and Rettberg, 2018). Furthermore, a virtual replica of a CPS is useful and can assume a significant role in securing a system (Eckhart and Ekelhart, 2018).…”

Section: Digital Twinsmentioning

confidence: 99%

“…Therefore, digital twin technology provides for the CPSs a new potential outcome as far as monitoring, simulating, optimising and predicting the condition. Therefore, a virtual replica of a CPS is useful and can assume a significant role in securing a system with ceaseless feedback to improve personal satisfaction and prosperity (Steinmetz and Rettberg, 2018;Eckhart and Ekelhart, 2018).…”

Section: Introductionmentioning

confidence: 99%

Cybersecurity for digital twins in the built environment: current research and future directions

Alshammari¹,

Beach²,

Rezgui³

2021

ITcon

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Recent technological developments in the construction industry are seeking to create smart cities by using Cyber-Physical Systems (CPSs) to enhance information models such as BIM. Currently, BIM models are commonly adopted to work with IoT-based systems and embrace smart technologies that offer interoperability in the communication layer. In future, it is envisioned that digital twins will provide new possibilities for cyber-physical systems via monitoring and simulation. However, rarely in this rapidly developing field is security fully considered. This paper reviews the relevant literature regarding the use of the IoT in the built environment and analyses current practices. It also presents examples of cities that use the IoT to improve construction and the lived experience. Finally, it reviews how digital twins factor in multiple layers defined in CPSs, from physical objects to information models. Based on this review, recommendations are provided documenting how BIM specifications can be expanded to become IoT compliant, enhancing standards to support cybersecurity, and ensuring digital twin and city standards can be fully integrated in future secure smart cities.

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“…a digital twin adapted to the immediate need. As ontologies allow all parties to directly "understand" data, they enable building an on-demand digital twin [36]. Choosing the right part of the ontology ensures the adaption of the twin to the immediate situation [40].…”

Section: Supply Network Perspectivementioning

confidence: 99%

On-demand Shared Digital Twins – An Information Architectural Model to Create Transparency in Collaborative Supply Networks

Cirullies¹,

Schwede²

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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Industrial companies already apply digital twins for the digital representation of the physical world. In addition, information sharing becomes increasingly decisive for the competition, e.g. in supply networks where products and logistics data such as demands and capacities are exchanged. As many companies are, however, highly reluctant to share data across the supply chain, this paper applies the methodology of design science research to, first, state the requirements for shared digital twins based on five industrial use cases. It turns out that with regard to data decentralism, sovereignty and compatibility through global standardization are key success factors. Hence, second, this paper presents a concept for a shared digital twin providing data on demand, i.e. at the right time and in particular with data condensed to the concrete need.

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Internet of Things Ontology for Digital Twin in Cyber Physical Systems

Cited by 48 publications

References 21 publications

Pipeline for ontology-based modeling and automated deployment of digital twins for planning and control of manufacturing systems

Pipeline for ontology-based modeling and automated deployment of digital twins for planning and control of manufacturing systems

Cybersecurity for digital twins in the built environment: current research and future directions

On-demand Shared Digital Twins – An Information Architectural Model to Create Transparency in Collaborative Supply Networks

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