Our presenters will showcase their digital twin solutions - as a demo, live or recorded to give visitors better insights into their solutions.
When
The roadshow happens on Monday, September 23rd and on Tuesday, September 24th, in parallel to the MODELS Industry Day.
What
Demos, videos, screen recordings, live interaction
Pitches
In the second session on Monday and Tuesday, the presenters will pitch their digital twin(s) in a 5 minute lightning talk
Where
You can find the roadshow presentations in the foyer of EDTconf.
Accepted Presentations on Monday
Representation and utilization of digital twin models for industrial manufacturing
David Dietrich, Institute for Control Engineering, University of Stuttgart
Solving current challenges in the manufacturing industry requires a shift in paradigm of how industrial production is thought, engineered and implemented. Software-defined Manufacturing (SDM) replaces the production-system-centric approach by a production-solution-focused approach. Solutions are engineered virtually using software tools, defining asset administration shell (AAS) based digital twins alongside with their physical counterpart forming a data source for subsequent services. A specific use case is the automated manufacturing toolchain which enables the manufacturing of completely individualized products. Based on a Product-Process-Resource (PPR) relation of the digital twins, feature based products enable the planning of skill-based resources. Furthermore an individual generation and validation of process programs can be achieved by integrated CAx services for e.g., path planning for milling processes. The consistency of the digital twins and the toolchain make it possible to plan at production runtime and thus create solutions for unsteady environmental conditions.
Digital Twin Technology - A Digital Learning Tool
Ion Barosan, Eindhoven University of Technology
We present digital twin technology as a teaching aid meant to enable students grasp the virtual engineering model-based approach-based integration of several fields. By letting students see and interact with intricate systems in a virtual environment, this technology helps them to better understand transdisciplinary connections and useful applications. Furthermore, we apply digital twin technology as a digital learning thread in academic settings.
Digital Product Configuration Twin in Software-Defined Vehicles
Christer Neimöck, T-Systems
Software-defined vehicles (SDV) and data-driven processes for the development of ADAS and autonomous driving are changing the business models for mobility and the entire automotive industry. The connected and automated vehicle interacts with its environment, road users and service providers. Continuous updates of validated software functions will be essential not only for stable and seamless services, but also for predictions based on dynamic data. In order to transfer software updates over the air (OTA) to vehicle fleets, digital twins will be essential in the future, in addition to end-to-end digital type approvals (homologation processes), software update management processes (SUMS) in accordance with UNECE R156 and mastering the exponentially increasing number of variants. The Digital Product Configuration Twin in particular enables the provision of data between configuration management at the OEM on the basis of vehicle types and the specific vehicle in which a software change will be deployed. To do this, it is essential to check firstly whether authorization is present, secondly whether the vehicle configuration permits this and thirdly whether the update was successful. The reverse process of an update of Hardware and Software by third parties must also be made known to the OEM. This also takes place via the Digital Product Configuration Twin. T-Systems will give a presentation on the procedure developed in the SofDCar research project together with the partners and address the issues involved.
Industrial Metaverse - Technology for Interdisciplinary Innovation (Cancelled)
Benjamin Wingert, Fraunhofer Institute
Accepted Presentations on Tuesday
Digital Twin Roadshow for Medical Devices
Hassan Sartaj, Simula Research Laboratory, Oslo
Automated system-level testing of IoT healthcare applications necessitates a test infrastructure that can integrate multiple medical devices from various vendors. However, physical integration is laborious, costly, and impractical. To address this, we, in collaboration with Oslo City’s healthcare department, proposed a cost-effective solution: a model-based approach for creating digital twins (DTs) of medical dispensers. Our approach’s evaluation, using real-world medicine dispensers, demonstrated the high fidelity of the DTs. In the DT roadshow, we exhibit digital twins of medical dispensers built to support automated testing of healthcare IoT applications. Mainly, we will demonstrate a medicine dispenser and its DT operating side by side, both integrated with an IoT application. In this demonstration, we will run tests targeting various functionalities, such as medicine dispensing, to showcase the operating mechanism, fidelity, and synchronization of the DT in relation to its physical counterpart.
Digital Twin of a Milling Machine
Jingxi Zhang, ISW, University of Stuttgart
The pressentation is intended to contain a milling machine for a milling operation of a wood piece in a wood manufacturing. More precisely, it drills an engraving into a wood piece. This process can be stopped and continued during runtime. Next to it is a visual representation in a simluation environment (VirtuOS). These data are propergated via a digital twin. The connection between the digital twin and the milling machine is build on an OPC UA server. Since the transport and setup of the physical machine is difficult and costly, this presentation will contain a video, a dashboard to contol the digital twin and the simulation environment, where commands are shown as movements.
The Digital Vehicle File: a self-service DT system
Theresho Mogowane - BMW IT Hub South Africa
We will showcase our highly configurable digital twin platform. The digital twin system is based on a central data model that lives 100% in configuration. Featuring data warehousing and federation approaches, we provide access to integrated data through a version-less API based on a GraphQL inspired custom query language. The digital twin supports features such as lifecycle phases and statutes as first class citizens to handle the evolution if the digital twin’s state over its lifecycle.
The Digital Twin Demonstrator
Jakob Trauer, engineering methods AG
We show how a bidirectional information exchange can be implemented based on a model train showcase, which will be presented in a live demo. The :em AG Digital Twin Showcase highlights the value of Digital Twins for optimizing the operation of technical systems, improving sustainability, and increasing system availability. Using the Asset Administration Shell and the Bosch Semantic Stack, we present how live usage data can be used to automatically control the operation of the train and fill the digital product pass (DPP). For the exchange of operational data, we used MQTT and Rest API. Further, using neutral exchange formats - such as PLMXML or ReqIF - we also realized interoperability between common engineering tools, e.g. for product data management or requirements management. By implementing these interfaces, we show how interoperability enables the implementation of Digital Twins and Model-Based Engineering.