Semantic Microservice Framework for Digital Twins

Steindl, Gernot; Kästner, Wolfgang

doi:10.3390/app11125633

Cited by 25 publications

(18 citation statements)

References 38 publications

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“…Such a networked digital twin is addressed in [22]. Another approach facing the increasing complexity of systems is provided in [23]. It is focused on a digital twin architecture based on micro-services, whose communication is facilitated by a message-oriented middle-ware implemented by Apache Kafka, providing support for streamed data.…”

Section: Digital Twins For Production Systemsmentioning

confidence: 99%

Digitalized Automation Engineering of Industry 4.0 Production Systems and Their Tight Cooperation with Digital Twins

Novák

Vyskočil

2022

Processes

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Smart production systems conforming the Industry 4.0 vision are based on subsystems that are integrated in a way that supports high flexibility and re-configurability. Specific components and devices, such as industrial and mobile robots or transport systems, now pose full-blown systems, and the entire Industry 4.0 production system constitutes a system-of-systems. Testing, fine-tuning, and production planning are important tasks in the entire engineering production system life-cycle. All these steps can be significantly supported and improved by digital twins, which are digitalized replicas of physical systems that are synchronized with the real systems at runtime. However, the design and implementation of digital twins for such integrated, yet partly stand-alone, industrial sub-systems can represent challenging and significantly time-consuming engineering tasks. In this article, the problem of the digital twin design for discrete-event production systems is addressed. The article also proposes to utilize a formal description of production resources and related production operations that the resources can perform. An executable version of such formalization can be automatically derived into a form of a digital twin. Such a derived digital twin can be enhanced with operation duration times that are obtained with process mining methods, leading to more realistic simulations for the entire production system. The proposed solution was successfully tested and validated in the Industry 4.0 Testbed, equipped with four robots and a transport system, which is utilized as a use-case in this article.

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Section: Digital Twins For Production Systemsmentioning

confidence: 99%

Digitalized Automation Engineering of Industry 4.0 Production Systems and Their Tight Cooperation with Digital Twins

Novák

Vyskočil

2022

Processes

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“…The digital twin analyzes operation data with a machine learning model and a simulation model to improve the operation accuracy of the machine. Steindl defined the digital twin software structure based on the microservices architecture [14]. The microservice-based digital twin has functional scalability for computing features for digital twin services, such as data acquisition, data storage, state prediction, and fault analysis.…”

Section: Digital Twin Software Architecturementioning

confidence: 99%

A Novel Digital Twin Architecture with Similarity-Based Hybrid Modeling for Supporting Dependable Disaster Management Systems

Yun

Kwon

Kim

2022

Sensors

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Disaster management systems require accurate disaster monitoring and prediction services to reduce damages caused by natural disasters. Digital twins of natural environments can provide the services for the systems with physics-based and data-driven disaster models. However, the digital twins might generate erroneous disaster prediction due to the impracticability of defining high-fidelity physics-based models for complex natural disaster behavior and the dependency of data-driven models on the training dataset. This causes disaster management systems to inappropriately use disaster response resources, including medical personnel, rescue equipment and relief supplies, to ensure that it may increase the damages from the natural disasters. This study proposes a digital twin architecture to provide accurate disaster prediction services with a similarity-based hybrid modeling scheme. The hybrid modeling scheme creates a hybrid disaster model that compensates for the errors of physics-based prediction results with a data-driven error correction model to enhance the prediction accuracy. The similarity-based hybrid modeling scheme reduces errors from the data dependency of the hybrid model by constructing a training dataset using similarity assessments between the target disaster and the historical disasters. Evaluations in wildfire scenarios show that the digital twin decreases prediction errors by approximately 50% compared with those of the existing schemes.

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“…It provides a set of graphical elements for describing business processes based on flowcharts that resemble the activity diagrams from the Unified Modelling Language (UML). The BPMN Version 2.0 of the standard was developed in 2010, and the current revision of the specification was published in 2013.The BPMN is meant to bring together business process design and process implementation, by providing a standard model executable in software workflow engines [69] and standard notation. This notation can be easily understood by all stakeholders, where business analysts (e.g., designers) are devoted to creating and refining the processes, technical developers (e.g., contractors, suppliers, and BIM technical experts) to the implementation, and business managers (e.g., tenants) to monitoring the business processes.…”

Section: Step 1: Definition Of Idm Openbim Worflows Through Bpmnmentioning

confidence: 99%

A Methodology for the Digitalization of the Residential Building Renovation Process through OpenBIM-Based Workflows

et al. 2021

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The European building industry is facing a strong increase in renovation processes, which are still non-cost-effective, involve unproperly coordinated stakeholders, are disturbing for the occupants, and cause important inefficiencies in the overall renovation process. In this context, digitalization and Building Information Modelling (BIM), as an enabler, is the key solution that may drive renovation interventions to ensure a more successful and leaner process, aiding the whole value chain of actors to achieve its full potential. This research describes the OpenBIM methodology applied in order to transform the implicit knowledge from the stakeholders involved in the building renovation process, not structured enough for automation, into an OpenBIM digital process based on the BIM standards. The outcomes of this research are the OpenBIM ready workflows that represent the renovation process and information requirements according to the involvement of different stakeholders rooted in the analysis of barriers, requirements, and needs. Those workflows are the basis for the future development of specific products and tools for boosting digitalization and interoperability in the renovation process.

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Semantic Microservice Framework for Digital Twins

Cited by 25 publications

References 38 publications

Digitalized Automation Engineering of Industry 4.0 Production Systems and Their Tight Cooperation with Digital Twins

Digitalized Automation Engineering of Industry 4.0 Production Systems and Their Tight Cooperation with Digital Twins

A Novel Digital Twin Architecture with Similarity-Based Hybrid Modeling for Supporting Dependable Disaster Management Systems

A Methodology for the Digitalization of the Residential Building Renovation Process through OpenBIM-Based Workflows

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