Projektlogo Fostering DIHs for Embedding Interoperability in CyberPhysical Systems of European SMEs
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DIH4CPS

Fostering DIHs for Embedding Interoperability in CyberPhysical Systems of European SMEs

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The initiative for Fostering DIHs for Embedding Interoperability in Cyber-Physical Systems of European SMEs (DIH4CPS) will help European enterprises overcome innovation hurdles and establish Europe as a world leading innovator of the Fourth Industrial Revolution. DIH4CPS will create an embracing, interdisciplinary network of DIHs and solution providers, focussed on cyber-physical and embedded systems, interweaving knowledge and technologies from different domains, and connecting regional clusters with the pan-European expert pool of DIHs.

Duration 01.01.2020 - 31.12.2022, Funded by H2020

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Projektlogo An Open, Trusted Fog Computing Platform Facilitating the Deployment, Orchestration and Management of Scalable, Heterogeneous and Secure IoT Services and cross-Cloud Apps

RAINBOW

An Open, Trusted Fog Computing Platform Facilitating the Deployment, Orchestration and Management of Scalable, Heterogeneous and Secure IoT Services and cross-Cloud Apps

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The vision of RAINBOW is to design and develop an open and trusted fog computing platform that facilitates the deployment and management of scalable, heterogeneous and secure IoT services and cross-cloud applications (i.e, microservices). RAINBOW falls within the bigger vision of delivering a platform enabling users to remotely control the infrastructure that is running, potentially, on hundreds of edge devices (e.g., wearables), thousands of fog nodes in a factory building or flying in the sky (e.g., drones), and millions of vehicles travelling in a certain area or across Europe. RAINBOW aspires to enable fog computing to reach its true potential by providing the deployment, orchestration, network fabric and data management for scalable and secure edge applications, addressing the need to timely process the ever-increasing amount of data continuously gathered from heterogeneous IoT devices and appliances. Our solution will provide significant benefits for popular cloud platforms, fog middleware, and distributed data management engines, and will extend the open-source ecosystem by pushing intelligence to the network edge while also ensuring security and privacy primitives across the device-fog-cloud-application stack. To evaluate its wide applicability, RAINBOW will be demonstrated in various real-world and demanding scenarios, such as automated manufacturing (Industry 4.0), connected vehicles and critical infrastructure surveillance with drones. These application areas are safety-critical and demanding; requiring guaranteed extra-functional properties, including real-time responsiveness, availability, data freshness, efficient data protection and management, energy-efficiency and industry-specific security standards.

Duration 01.01.2020 - 31.12.2022, Funded by H2020

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Projektlogo Ein Meta-Lern-Ansatz zur Selektion geeigneter Prognoseverfahren für eine vorausschauende Instandhaltung in digitalisierten Produktionssystemen

MetaMaintain

Ein Meta-Lern-Ansatz zur Selektion geeigneter Prognoseverfahren für eine vorausschauende Instandhaltung in digitalisierten Produktionssystemen

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Duration 01.01.2020 - 31.12.2021, Funded by DFG
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Manufaktur 4.0

Quality-oriented production control and optimization in food production

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The project develops a digitalised, quality-based production planning and control system for food production. The system focus on an optimal use of raw materials (e.g. reduction of the storage time of sensitive raw materials). The development should lead to a better operating grade of the production facilities and an optimization of their energy consumption as well as to an optimized bin management and especially to an increase of the product quality (taste and shelf life). In order to achieve the objectives, raw material-specific quality-time profiles will be analysed and integrated in an IT-based procedure for quality-oriented production planning and control, which will be implemented as a prototype by the project partner.

Duration 01.01.2020 - 31.12.2021, Funded by PFAU

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Projektlogo Simulationsbasiertes Training zur Unfallvermeidung in der Automobilindustrie

VR-SUSTAIN

Simulation-based training for accident prevention in the automotive industry

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In the VR-SUSTAIN project, a training environment is developed, which familiarises trainees and skilled workers in a safe environment with the prevention techniques of accidents and damage to manufactured products. Virtual Reality (VR) is applied to provide the participants with an interactive, immersive learning experience. Two learning scenarios are developed: the prevention of health risks, scratches and dents in the manufacturing process as well as the prevention of accidents when handling electrical equipment.

The VR-SUSTAIN project aims to improve the training quality and efficiency in both learning scenarios through innovative VR technology. Besides training to reduce product damage and injuries, the application increases the media competence of trainers and participants. Furthermore, the project intends to gain essential insights into the development and implementation of VR-based training in the European manufacturing industry.

Duration 01.01.2020 - 31.12.2020, Funded by EIT Manufacturing

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Events:
KI-Hype und Chancen für eine reale Wertschöpfung
28. Februar 2020, Bremen, 13 - 17 Uhr
Industry Meets Science
March 18th, 2020, Bremen
Agiles Projektmanagement durch Selbstorganisation
27. März 2020, Bremen, 13 - 17 Uhr
Tag der Logistik
16. April 2020, Bremen, 15 - 19 Uhr
Enterprise Architecture Management
24. April 2020, Bremen, 13 - 17 Uhr

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