i-Twin – Semantic Integration Patterns for Data-driven Digital Twins in the Manufacturing Industry
i-Twin investigates interoperability concepts for data-driven digital twins in the manufacturing industry. The project propagates an open source middleware for the integration of operational management systems and connected assets based on semantic integration pat-terns. It aims at reducing the integration effort and allowing exchange of master data and operational data in manufacturing networks. The results are validated in a research laboratory set-up and in an industrial asset management scenario.
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HWS – Platform-based AI System for Human Motion Analysis to optimize Ergonomics of Hybrid Work Systems in Industry
HWS deals with the increasing levels of automation and the use of collaborative robots, making the shop floor a complex socio-technological system whose processes still need to be safe and secure for humans working in these environments. We take a human-centered view on the planning, analyzing and monitoring of industrial work processes.
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AlTrOPiC – AI-based Anomaly Diagnosis and Traffic Prediction for Service Orchestration and Placement in Clouds
The AITrOPiC project focus on the research and development of AI-based methods to enable automated provisioning of services and processing resources in cloud-based computing infrastructures.
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OpenheaRTEd
The objective of this project is to study the application of software-defined networking (SDN) approaches to real-time Ethernet (RTE) networks.
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BIB4SGRID – Business Models including Batteries for Smart Grids
Renewable energy sources like solar and wind are naturally very volatile as they depend on the time of day or weather. This provides major challenges for power supply companies.
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IoT4Industry – Secure, Privacy-preserving Agents for the Industrial Internet
In order to benefit from the emerging Industrial Internet, manufacturing companies will have to adapt their current automation infrastructure.
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OFSE_Grid – Open Flow Secure Grid
The potential of Open Flow for becoming a next generation Smart Grid communication infrastructure will be explored. Both the energy domain and the classical IP networking get their own router stack sharing the physical and L2-VPN layer. The project analyses the relevance of the scientific open questions, evaluates the modelling methods and performs validations with a rapid prototype.
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Departments
- Intelligent Connectivity
- Innovation & Value Creation
- Mobility & Transport Analytics
- Human Motion Analytics
