RESEARCH ACTIVITIES

Industry 4.0 and Internet of Things

ADD2Log

Platform for Decentral Production based on Additive Manufacturing and Agile Logistics

Funded by

Federal Ministry for Economic Affairs and Energy (BMWi)

Description

Develops a cross-company software platform for realizing an agile supply chain. With this platform new and spare parts will be produced using additive manufacturing.

Partners
  • DMG MORI Spare Parts GmbH, München
  • Fraunhofer-Institut für Lasertechnik (ILT), Aachen
  • Materialise GmbH, Gilching / München
  • Software AG, Darmstadt
  • TOP Mehrwert-Logistik GmbH & Co. KG, Hamburg
Duration

March 1 2017 to February 2020

More information

www.fir.rwth-aachen.de/forschung/forschungsprojekte/detail/add2log-01ma17002a/

AMCOCS

Additive Manufactured Component Certification Services

Funded by

Federal Ministry of Education and Research (BMBF)

Description Development of a self-learning platform to accelerate testing and certification procedures in additive manufacturing and the transfer of these findings into digital business models. The project aims to provide a platform that allows reducing time and material required to certify 3d printed parts in the stringent aerospace context, which may be transferred into different industries later on.
Partners
  • Elbe Flugzeugwerke GmbH
  • Fraunhofer-Institut für Verkehrs- und Infrastruktursysteme
  • IMA Materialforschung und Anwendungstechnik GmbH
  • Technische Universität Dresden
Duration February 2019 to January 2022

AUDIo

Auditing ML-based data driven services

Funded by

Federal Ministry for Economic Affairs and Energy (BMWi)

Description

AUDIo will digitize the re-calibration and re-configuration of machines, which currently is a pure manual service requiring expert knowledge. In the future, the machine operators shall be enabled to perform these tasks on their own. This will be achieved by an AR-based assistant that guides the machine operators through the entire re-calibration and re-configuration process, the sensor-based measurement of calibration data, and the remote computation of re-configuration parameters supported by AI and machine learning techniques. Additionally, AUDIo will make use of the Distributed Ledger Technology to log the generated data and performed (inter-)actions in a secure, immutable, and thus auditable way.

Partners
  • Fraunhofer Institute for Machine Tools and Forming Technology
  • METROM Mechatronische Maschinen (Mechatronic Machines) GmbH
  • 5-pm UG
  • Technical University of Dresden
  • Institute of Production Engineering and Photonic Technologies of the Vienna University
Duration

September 2019 to August 2022

BigPro (2014-2017)

Big data and event-based adjustment for the configuration of resilient production systems

Funded by

Federal Ministry of Education and Research (BMBF)

Description

Develops a big data platform with access to real-time production process with data pattern detection. It can be used as a proactive disturbance management system to help identify production dysfunctions early or even prevent them.

Partners
  • i2solutions GmbH
  • Asseco Solutions AG 
  • Werkzeugmaschinenlabor der RWTH Aachen (WZL) 
  • Demonstrationsfabrik an der RWTH Aachen 
  • FZI Forschungszentrum Informatik am Karlsruher Institut für Technologie 
  • cognesys gmbh 
  • Robert Bosch GmbH 
  • Auto Heinen
Duration

September 2014 to November 2017

More information

www.fir.rwth-aachen.de

DESPRIMA

Demand side and production management for beverage bottling processes

Funded by

Federal Ministry for Economic Affairs and Energy (BMWi)

Description

DESPRIMA enables beverage bottling industries to adapt their energy consumption flexibly according to the varying energy availability and thus reduce energy costs. Therefore DESPRIMA will develop an intelligent energy management system by connecting sensors and actors of the bottling machinery to a digital platform.

Partners
  • SWW Wunsiedel GmbH (public utility)
  • Brandenburger Urstromquelle GmbH
  • Dresden Elektronik
  • Fraunhofer Institute for Technical and Industrial Mathematics
  • Technical University of Kaiserslautern
  • University of Bremen
Duration

July 2019 to June 2022

DISRUPT (2016-2019)

Decentralized Architectures For Optimized Operations Via Virtualized Processes and Supply-Chain Collaboration

Funded by

European Commission

Description

Aims to spearhead the transition to the next generation manufacturing paradigm by facilitating the vision and execution of a "Smart Factory": Isolated, optimized cells will come together as a fully integrated, automated, and optimized production flow, leading to greater efficiencies and changing traditional production relationships among suppliers, producers, and customers, as well as between human and machine.

Partners
  • Centro Ricerche Fiat SCPA, Italy
  • Arcelik A.S., Turkey
  • Athens Technology Center SA, Greece
  • Boc Asset Management GmbH, Austria
  • Simplan AG, Germany
  • University of Manchester, UK
  • Consiglio Nazionale delle Ricerche, Italy
  • Athens University of Economics and Business - Research Center, Greece
Duration

September 2016 to August 2019

More information

www.disrupt-project.eu/

Fühler im Netz 2.0 (Sensors in the Grid)

Use of Big Data and KI using the FiN (Fühler im Netz/Sensors in the Grid) approach for status monitoring of networks and plants in the distribution network

Funded by

Federal Ministry of Education and Research (BMBF)

Description

To ensure the supply security and grid stability in Germany in the future, the FiN project intends to investigate new and cost-effective ways of recording the grid status and detecting faults, specifically the use of Broadband over Power Line (BPL) technology. BPL is used for communicatively linking different applications in the electricity grid. Building on the Fühler im Netz (FiN) research project, FiN 2.0 is now testing large-scale solutions for monitoring the network status using Big Data and Artificial Intelligence.

Partners
  • Power Plus Communications AG
  • University of Wuppertal
  • German Research Center for Artificial Intelligence (DFKI)
  • Energieversorgung (Energy Supply) Leverkusen GmbH & Co. KG
  • Mainzer Netze GmbH (Public Utility Company of the City of Mainz)
  • Netze BW GmbH (Grid Company of the German State of Baden-Württemberg)
Duration

June 2019 to May 2022

More information https://www.dfki.de/web/forschung/projekte-publikationen/projekte/projekt/fin-20/

HEADS (2013-2017)

Heterogeneous and Distributed Services For The Future Computing Continuum

Funded by

European Commission

Description

Aims to provide a cost-effective and integrated programming model, which allows full exploitation of the capabilities of the individual open, legacy or proprietary devices and platforms, composing the future computing continuum.

Partners
  • Athens Technology Center S.A., Greece
  • INRIA, France
  • SINTEF, Norway
  • Tellu, Norway  
Duration

October 2013 to March 2017

More information heads-project.eu/

I-BiDaaS 

Industrial-Driven Big Data as a Self-Service Solution

Funded by

European Commission

Description

I-BiDaaS aims to empower users to easily utilize and interact with big data technologies by designing, building and demonstrating a unified solution that significantly increases the speed of data analysis while coping with the rate of data asset growth as well as facilitates cross-domain data flow toward a thriving data-driven EU economy. I-BiDaaS will be validated by three real-world, industry-led experiments in the domains of banking, manufacturing and telecommunications.

Partners
  • Foundation for Research and Technology Hellas, Greece
  • Barcelona Supercomputing Center, Spain 
  • IBM Israel - Science and Technology Ltd, Israel 
  • Centro Ricerche Fiat Scpa, Italy 
  • Caixabank Sa, Spain 
  • The University of Manchester, U.K. 
  • Ecole Nationale Des Ponts Et Chaussees, France 
  • Atos Spain Sa, Spain 
  • Aegis It Research Ltd, U.K. 
  • Information Technology For Market Leadership, Greece 
  • University of Novi Sad Faculty of Sciences, Serbia Telefonica Nvestigacion Y Desarrollo Sa, Spain
Duration

January 2018 to December 2020

More information

www.ibidaas.eu/

iPRODICT (2014-2017)

Intelligent Process Prediction Based On Big Data Analytics

Funded by

Federal Ministry of Education and Research (BMBF)

Description

Uses forecast calculations, predictive analytics and big data analysis techniques gathered from sensor networks to predict the outcome of a process in real-time. iProdict enables to proactively customize and adapt processes to suit to any particular situation.

Partners
  • DFKI
  • Blue Yonder GmbH
  • Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme
  • Pattern Recognition Company GmbH
  • Saarstahl AG
Duration

September 2014 to August 2017

More information www.dfki.de

RESPOND

Resilient socio-technical processes in the industrial Internet of Things

Funded by

Federal Ministry of Education and Research (BMBF)

Description

The RESPOND research project aims to create a flexible and dynamic production system in the Industrial Internet of Things (IIoT), which is able to monitor itself and react on errors autonomously.

Partners
  • Hochschule Karlsruhe - Wirtschaft und Technik, Fakultät Informationsmanagement und Medien, Institut für Ubiquitäre Mobilitätssysteme
  • SITEC Industrietechnologie GmbH
  • Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik IWU
  • Karlsruher Institut für Technologie - Institut für Programmstrukturen und Datenorganisation
  • TTI Technologie-Transfer-Initiative GmbH
  • INTEC International GmbH
Duration

March 2019 to February 2022

More information www.respond-iot.de

SCIKE Project Singapore (2017-2019)

Software-Cluster Internationalization Strategy for the Development of Core Competencies in Key Areas of Innovation of the Enterprise Software Branch

Funded by

Federal Ministry of Education and Research (BMBF)

Description

Within the project SCIKE, the Software-Cluster will develop an internationally oriented cooperation framework in order to address the need for developing internationalization skills.
SCIKE covers planned cooperation with Singapore in the area of mobile enterprise software using augmented reality for maintenance processes.

Partners
  • Fraunhofer IGD
  • Fraunhofer IDM@NTU 
  • CAS Software AG 
  • I-views Intelligent views 
  • invenio GmbH 
  • Vsonix GmbH 
  • Additional partners in Singapore
Duration

April 2017 to March 2019

More information

http://software-cluster.org/en/projects/scike-singapore/

SynErgie

System-Optimizing Grid and Energy Management for the Distribution Networks of the Future

Funded

Federal Ministry of Education and Research (BMBF)

Description

Aims to create new ways of optimizing the reactive energy balance of distribution networks. SynErgie will demonstrate how energy-intensive production processes can be adjusted to a volatile energy supply.

Partners

The consortium consists of 98 partners from research, industry, and civil society.

Duration

September 2016 to August 2019

More information www.kopernikus-projekte.de

ZDMP

Zero Defects Manufacturing Platform

Funded by

European Commission

Description

Development of a platform for the control and improvement of the “Zero Defects” product and process quality in the Industry 4.0 field for manufacturers. The ZDMP platform will combine state-of-the-art technology approaches based on commercial software or robust open source platforms with innovative integration concepts.

Partners

The consortium consists of 30 partners, including companies supplying ICT solutions, suppliers of solutions in the manufacturing sector, industrial partners in the automotive, industrial machinery, electronic and construction, as well as universities and research institutes and the German institute for DIN standardization.

Duration

January 2019 to December 2022

More information www.zdmp.eu
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