Digital Twin Platform
Identify competency gaps to implement IIoT-Technologies Test on connected production equipment/line in Germany and Asia Use the Testbed for scalable transformation to global connected production line Establish a network for IIoT trainings and research
Learn about the latest technologies and trends in the field of Industrial Internet of Things and Digital Twin with our courses. Build your own Digital Twin Factory and learn how to use it with our integrated platform. Start small and scale up to a global connected production line.
Dozens of machines are already integrated into our platform to provide you with a real-world experience. Register now and try out our platform with examples from the automotive industry for free. See how the platform can be used to improve your production line.
Do the next step and build your own Digital Twin Factory. Use our platform to build your own Digital Twin Factory and learn how to use it. Start small and scale up to a global connected production line while learning about the latest technologies and trends in the field.
For the public testbed at TU Darmstadt DiK, AI-Dave and AI-Jane established a virtual and physical bidirectional interaction testbed via Amazon Web Services [AWS], Microsoft Azure or Google Cloud through AI-Dave and AI-Janes 'Digital Twin Factory application. Any client-device (e.g. Holo-Lens 2, HTC Vive Pro, Personal Computer, Tablet, Mobil phone etc.) could connect securely through cloud-server to the public testbed offered industrial machineries (e.g. collaborative robots, industrial production/assembly line etc.). The bidirectional control through AI-Dave and AI-Jane's 'Digital Twin Factory' application allows the client-devices to interact with the level of Manufacturing Execution System [MES], the level of Programmable Logic Controller [PLC] as well as the level of any interlinked sensor or actuator.
Additionally, for internal and external models, software or hardware extensions, the developer will be guided interactively through model integration (CAD, FEM, MBS, CFD etc.) as well as data orchestration (REST-architecture for SOA, TCP/IP, OPC UA, MQTT, I/O Level etc.) with the existing Digital Twin Factory architecture.
Therefore, use cases like cloud conditioning and order monitoring or cloud dashboard engineering are basic functionalities. Advanced cloud production order and single actuator execution as well as cloud simulation model-based preventive and predictive maintenance are established. Professionally, cloud virtual commissioning and semi-automatic EBOM to MBOM transformation could be developed, tested and operated virtually or physically though public cloud providers e.g. AWS, Azure, Google Cloud etc.. Alternatively, private cloud environment at HRZ-Servers [Hochschulrechenzentrum], TU Darmstadt DiK, Germany could be used. Industrial production equipments were well established and connected for Europe-Asia cross boarder test.
Finally, the provided use cases and benefits for enterprise are methodologically supported by the VDMA (German Mechanical Engineering Industry Association) Industrie 4.0 Toolboxes. The VDMA Industrie 4.0 Toolboxes are well established and accepted by hundreds of German small and medium-sized enterprises.
Ontologically Anthropocentric Sensory Immersive Simulation
Walking through Digital Twin Factory
Virtualisation of real production environment
Multibody Simulation of a Collaborative Robot (EVA)
for Digital Twin Development
ENTER the Digital Twin Factory at DiK, TU Darmstadt, Germany !
/ Digital Twin Cobot
Full-vehicle simulation and Multi-domain Simulation - Front Suspension