Integration of real-time locating systems into digital twins

Ruppert, Tamás; Abonyi, János

doi:10.1016/j.jii.2020.100174

Cited by 42 publications

(21 citation statements)

References 33 publications

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“…Many different definitions of a digital twin can be found in the literature. In [21,22,27], a distinction was made between a digital model, a digital shadow and a digital twin. A digital model is defined as a virtual representation of a physical system able to accurately represent a predefined set of behaviours of its physical counterpart.…”

Section: Definition Of a Digital Twinmentioning

confidence: 99%

“…According to [21,22,27], a digital model is upgraded into a digital shadow by adding a unidirectional automated data or information flow from the physical to the virtual system, while a digital twin requires the data flow to be bidirectional. However, this requirement is deemed too restrictive in [20], where the distinction between a digital shadow and twin is not made, and both are denoted as a digital twin.…”

Section: Definition Of a Digital Twinmentioning

confidence: 99%

“…With these techniques, Industry 4.0 enhances the robustness, reliability, performance and flexibility of machines and production processes. One major upcoming technology is the Digital Twin (DT), defined as a virtual replica that acts and behaves as its physical counterpart, computed simultaneously with the physical system and with an automated transfer of data or information between the physical system and the model [20,21]. Although often used as a buzz-word or considered hype, a well implemented digital twin can unmistakably bring added value in many industrial applications [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

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Digital Twins for Wind Energy Conversion Systems: A Literature Review of Potential Modelling Techniques Focused on Model Fidelity and Computational Load

et al. 2021

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The Industry 4.0 concept of a Digital Twin will bring many advantages for wind energy conversion systems, e.g., in condition monitoring, predictive maintenance and the optimisation of control or design parameters. A virtual replica is at the heart of a digital twin. To construct a virtual replica, appropriate modelling techniques must be selected for the turbine components. These models must be chosen with the intended use case of the digital twin in mind, finding a proper balance between the model fidelity and computational load. This review article presents an overview of the recent literature on modelling techniques for turbine aerodynamics, structure and drivetrain mechanics, the permanent magnet synchronous generator, the power electronic converter and the pitch and yaw systems. For each component, a balanced overview is given of models with varying model fidelity and computational load, ranging from simplified lumped parameter models to advanced numerical Finite Element Method (FEM)-based models. The results of the literature review are presented graphically to aid the reader in the model selection process. Based on this review, a high-level structure of a digital twin is proposed together with a virtual replica with a minimum computational load. The concept of a multi-level hierarchical virtual replica is presented.

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Section: Definition Of a Digital Twinmentioning

confidence: 99%

Section: Definition Of a Digital Twinmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Digital Twins for Wind Energy Conversion Systems: A Literature Review of Potential Modelling Techniques Focused on Model Fidelity and Computational Load

et al. 2021

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“…This progress created the possibility for real-time simulation and optimization and formed an on-demand intelligent service system. Ruppert et al [20] proposed a DTs model by combining the advantages of information fusion and real-time location systems. The DTs model can continuously predict the production status and provide information for production performance monitoring.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Safety Assessment of Prestressed Steel Structures Based on Digital Twins

et al. 2021

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In the development process of intelligent construction, the safety assessment of prestressed steel structures as an important research direction has become more and more attractive in academia. Digital twins (DTs) is the key technology to realize intelligent construction. The virtual and real interaction of the DTs can provide an efficient management and control mechanism for the construction process. This research proposes an intelligent safety assessment method of prestressed steel structures based on DTs. In this research method, the structural safety assessment is divided into two aspects: performance analysis and maintenance. By analyzing the characteristics of the construction safety assessment, a DTs framework for construction safety assessment is built. Driven by the DTs framework, a physical space model and a virtual space model are constructed. On the basis of virtual and actual interaction, multidimensional information fusion of time and space is carried out to realize the analysis of structural safety performance. On this basis, the paper establishes a Bow-tie model for the maintenance modeling of unsafe construction events. Moreover, the theoretical method formed is applied to the construction of a symmetrical structure (wheel–spoke cable truss). The validity of the method is verified by comparing the cable force calculated by the theoretical method and measured on site. The assessment method driven by the DTs ensures the structural safety and improves the intelligence level of safety management and control of the structure construction.

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“…It allows data flow from the process level to the enterprise information system level. As such, it may be implemented to provide data for digital twins (Chen and Li 2020), (Ruppert and Abonyi 2020) or the need to migrate some functions of the monitored facility to a higher level system (Bao et al 2019), cloud storage (Breivold 2020), (Hossain, Rahman, and Roy 2019) or intersection between cyber physical systems and big data in Industry 4.0 (Zhang et al 2021).…”

Section: Introductionmentioning

confidence: 99%

FPGA based Industrial Ethernet Network Analyser for Real-time Systems Providing Openness for Industry 4.0

Stój

Ziębiński

Cupek

2021

Enterprise Information Systems

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In modern cyber-physical systems, there is a high degree of connectivity that is imperative to satisfy the Four Industrial Revolution paradigm (Industry 4.0). While creating new systems according to the Industry 4.0, there are several protocols and solutions that can be applied. However, the introduction of Industry 4.0 to the existing industrial systems is not so straightforward. One point of consideration is the necessity of system modification, and another is the potential security threats a system could face. A solution presented in this paper addressing these issues is a FPGA-based network analyser with network datagram filtering and process data extraction. The analyser is transparent and may be applied without alterations to the monitored system. Moreover, there is no risk of influencing the system operation either by the data extraction device itself or by unauthorised access from the Internet, because the FPGA is a passive device operating as a data diode. The presented solution allows for the integration of existing Ethernetbased systems with cloud services for further processing of the data obtained from the monitored system. The FPGA makes process data available for the enterprise information systems.

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Integration of real-time locating systems into digital twins

Cited by 42 publications

References 33 publications

Digital Twins for Wind Energy Conversion Systems: A Literature Review of Potential Modelling Techniques Focused on Model Fidelity and Computational Load

Digital Twins for Wind Energy Conversion Systems: A Literature Review of Potential Modelling Techniques Focused on Model Fidelity and Computational Load

Intelligent Safety Assessment of Prestressed Steel Structures Based on Digital Twins

FPGA based Industrial Ethernet Network Analyser for Real-time Systems Providing Openness for Industry 4.0

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