Research Activities
            

AIToC
Artificial Intelligence-supported Tool Chain in Manufacturing Engineering

Funded by:

Description
The goal is to develop an integrated toolchain for manufacturing engineering that supports decision-making in early phases. To achieve this, the toolchain will support the formalization and automated analysis of requirements and the computer aided generation of process plans and simulation models. In all these dimensions, artificial intelligence will be used for optimization and monitoring based on sensor data in the plant and synthetic data in a digital twin. The interoperability of engineering tools is also in focus and will be developed using standardized neutral data formats.

Partners

• Daimler Buses -EvoBus GmbH
• Ford Otosan
  
• German Research Centre for Artificial Intelligence
  
• TWT GmbH Science & Innovation GmbH
• Volvo Group
  

Duration
October 2020 to September 2023

More information
itea3.org

AUDIo
Auditing ML-based data driven services

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 IWU
• 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

More information
audio-projekt.net

E2COMATION
Life-cycle optimization of industrial energy efficiency by a distributed control and decision-making automation platform 

Funded by:

Description
E2COMATION aims at providing a cross-sectorial methodological framework and a technological platform to monitor, predict and evaluate energy efficiency and life-cycle impact of the behavior of a factory, to adapt and optimize dynamically not only its real-time behavior over different time-scales, but also its strategic positioning with respect to the complex supply and value chains it belongs to.

Partners

• Consiglio Nazionale delle
• Ricerche 
• nxtControl – Schneider
• Electric 
• Synesis Scarl 
• Simplan AG 
• ACT Operations Research Ltd 
• SIGMAtools GmbH 
• KU Leuven 
• ThinkingAdditive Ltd 
• Athens Technology Center SA 
• AIDIMME Instituto Tecnologico 
• Scuola Universitaria Professionale
• Svizzera Italiana 
• OCME Srl 
• Mahou-San Miguel 
• Condis 
• Kastamonu Entegre A.S. 
• Royo Group 
• SCM Group 
  

Duration
November 2020 to April 2024

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:

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
dfki.de

EuProGigant
Artificial intelligence for energy technologies and applications in production

Description
EuProGiant implements the Gaia-X architecture through a German-Austrian consortium. As the first industrial project with practical implementation of GAIA-X principles, data-driven value creation will be rolled out in production, increasing productivity, revenue and energy efficiency while reducing CO2 equivalents and production costs. A cross-site, digitally networked production system built for EuProGigant will form the basis for a data ecosystem.

Partners

• A1 Digital International GmbH (Austria)
• Brinkhaus GmbH
• Concircle Management Consulting GmbH
• craftworks GmbH (Austria)
• EIT-Manufacturing GmbH (Germany and Austria)
• Gebr. Heller Maschinenfabrik GmbH (Germany)
• IGH Infotec AG (Germany)
• Institute of Production Management, Technology and Machine Tools (PTW), TU Darmstadt (Germany)
• Pilot Factory of TU Wien (Austria)
• Plasser & Theurer, Export von Bahnbaumaschinen, Gesellschaft m.b.H. (Austria)
• Stark Spannsysteme GmbH (Austria)
• WFL Millturn Technologies GmbH & Co. KG (Austria)

Duration
March 2021 to February 2025

More information
euprogigant.com
 

iECO
Intelligent Empowerment of Construction Industry

Description
The aim of iECO is to create a common data space for the construction industry based on Gaia-X and to use this to create a tamper-proof digital twin of the entire life cycle of a building. Thanks to the digital twin, data no longer has to be exchanged bilaterally and at great expense, but is available immediately and to everyone. On the one hand, this drastically reduces the companies' coordination costs, and on the other, it reduces the risk of important information being lost in the value chain.

Partners

• A1 Germany Digital GmbH
• Hof University of Applied Sciences
• Fraunhofer-Gesellschaft
• Implenia Germany GmbH
• N+P Information Systems GmbH
• TU Dresden
• IPROconsult GmbH
• IOTA Foundation

Duration
December 2021 to November 2024

Sustainable Development Goals

Goal 8: “Decent Work and Economic Growth”

• Target 8.2: “This project aims to increase economic productivity through diversification, technological upgrades and innovation with a focus on high value-added and labor-intensive sectors.”
• Target 8.4: “Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10 Year Framework of Programmes on Sustainable Consumption and Production, with developed countries taking the lead”
• Target 8.8: “Protect labour rights and promote safe and secure working environments for all workers, including migrant workers, in particular women migrants, and those in precarious employment”

Goal 9: „Industry, Innovation and Infrastructure“

• Target 9.2: “Promote inclusive and sustainable industrialization and, by 2030, significantly raise industry’s share of employment and gross domestic product, in line with national circumstances, and double its share in least developed countries”
• Target 9.4: “Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities”

Goal 12: „ Ensure sustainable consumption and production patterns”

• Target 12.4: “By 2020, achieve the environmentally sound management of chemicals and all wastes throughout their life cycle, in accordance with agreed international frameworks, and significantly reduce their release to air, water and soil in order to minimize their adverse impacts on human health and the environment”
• Target 12.5: “By 2030, substantially reduce waste generation through prevention, reduction, recycling and reuse”
• Target 12.6: “Encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle”

IML4E
Industrial Machine Learning for Enterprises

Funded by:

Description
IML4E brings together companies from the main sectors of the European software industry to create a European framework for the development, operation and maintenance of AI-based software, ensuring the development of intelligent services and intelligent software at industrial scale. The project focuses on providing industry-ready techniques, methods and tools that are not currently
freely available through open source solutions.

Partners

• BasWare (Finland)
• Budapest University of Technology and Economics (Hungary)
• CGI (Finland)
• Fraunhofer FOKUS (Germany)
• Granlund Oy (Finland)
• Reaktor (Finland)
• Siemens (Germany)
• Silo AI (Finland)
• Spicetech (Germany)
• University of Debrecen (Hungary)
• University of Helsinki (Finland)
• Vitarex Studio Ltd (Hungary)

Duration
May 2021 to April 2024

More information
itea3.org

InnoSale
Innovating Sales and Planning of Complex Industrial Products Exploiting Artificial Intelligence

Description
InnoSale aims to innovate today’s sales systems and processes for complex and variable industrial equipment, plants and services that require time-consuming back-office support. InnoSale develops methods to increase the expressiveness of validation rules and to suggest relevant purchase options (case-based reasoning). Sales engineers will be supported in finding previous customer requests & orders and other suitable solutions quickly as well as identifying similarities between customers (evolutional clustering). User experience will be improved supported by combining deep learning systems with augmented reality techniques, 3D modelling and 3D printing.
InnoSale is one of the ITEA projects. ITEA is the Eureka R&D&I Cluster on software innovation, enabling a large international community of large industry, SMEs, start-ups, academia and customer organisations, to collaborate in funded projects that turn innovative ideas into new businesses, jobs, economic growth and benefits for society.

Partners (international consortium)

• ifak - Institut für Automation und Kommunikation e.V. (Koordinator des deutschen Teilprojektes)
• Demag Cranes & Components GmbH
• :em engineering methods AG
• IOTIQ GmbH
• Natif.ai
• tarakos GmbH
• Technische Universität Dresden

Duration
October 2021 to September 2024

More information
itea4.org/project/innosale.html

KI4ETA
Artificial intelligence for energy technologies and applications in production          

Description
The goal is to use AI to narrow the so-called energy-efficiency gap—the difference between the energy savings that are technically possible in a factory and those that have already been realized in industry. To this end, an AI-based, scalable energy management platform is being developed on which the factory's machine, building and energy data are brought together. Automated with AI, measures for optimizing energy consumption are derived. 

Partners

• German Research Center for Artificial Intelligence (DFKI)
• Entega AG
  
• Robert Bosch GmbH
  
• Technical University of Darmstadt

Duration
June 2021 to May 2024

More information
www.ptw.tu-darmstadt.de/forschung_ptw/eta/aktuelle_projekte_eta/ki4eta/index.de.jsp

KLIPS
AI-based information platform for the localization and simulation of heat islands for innovative urban and traffic planning

Description
The aim of KLIPS is to develop a digital information platform for the localization, prognosis and simulation of heat islands. Thanks to swarm sensor technology and AI methods, the platform not only makes it possible to detect heat islands in urban areas, but also to predict their formation.

Partners

• German Aerospace Center (DLR)
• Pikobytes
• Fraunhofer Institute for Telecommunications,
• Heinrich Hertz Institute
• University of Applied Sciences Hof
• Leibniz Institute of Ecological
• Urban and Regional Development
• meggsimum
• City of Leipzig
• City of Langenfeld

Duration
October 2020 to September 2023

More information
klips-projekt.de

KompAKI
Competence center for work and AI in the Rhein-Main area 

Funded by:

Description
KompAKI will open up new potentials for human-centered AI application and their business models, develop new approaches of cooperative AI with which users can use AI more transparently and easily, and develop new methods to evaluate work in AI-supported work systems. 

Partners

• Technical University of Darmstadt
• Hochschule Darmstadt – University of Applied Sciences
• Metaphacts GmbH
• Chamber of Commerce and Industry of
• Darmstadt GmbH
• Jakob Maul GmbH
• Serviceware SE
• Heller Machine Tools Ltd
• Simplan AG
• STAUFEN. Quality Engineers GmbH
• TRILUX GmbH & Co. KG
  
• WIKA Alexander Wiegand SE & Co. KG
  

Duration
October 2020 to September 2025

More information
kompaki.de

LOGISTAR
Enhanced Data Management Techniques For Logistics Planning And Scheduling In Real Time

Funded by:

Description

LOGISTAR aims to allow effective planning and optimizing of transport operations in the supply chain by taking advantage of horizontal collaboration, relying on the increasingly real-time data gathered from the interconnected environment. For this, a real-time decision making tool and a real-time visualization tool of freight transport will be developed.

Partners

• DeustoTech
• University College Cork
• Semantic Web Company Gmbh
• Preston Solution
• sMDS Transmodal
• Consejo Superior de Investigaciones Científicas
• dbh Logistics IT AG
• Ahlers Belgium
• Consorzio Zailog (interporto of verona)
• Nestec York
  
• CHEP Pallecon Europe
  

Duration
June 2018 to September 2021

More information
logistar-project.eu

REIF
Resource-efficient, Economic and Intelligent Foodchain

Description
Objective is to reduce the waste of food in production and retail - for instant almost one third of all milk produced is lost in the value chain before it is bought by customers. To solve this huge economic but above all societal problem, REIF investigates the potential of Artificial Intelligence to optimize planning and controllability of the value chain. The core is the conception of an AI ecosystem that integrates stakeholders at all stages of the value chain.

Partners

• Fraunhofer Research Institution for Casting, Composite and Processing Technology IGCV
• Technical University of Munich - Chair of Brewing and Beverage
• Technology TUM School of Life Sciences Weihenstephan
• Collaborations Centre on Sustainable Consumption and Production
• Industrial Analytics IA GmbH
• Westfleisch SCE
• Kuchenmeister GmbH
• Hochland SE
• Tegut GmbH & Co. KG
  

Duration
February 2020 to January 2023 (implementation period)

More information
ki-reif.de

SAUBER
Satellite-based System to display, predict, and simulate air pollutants for a sustainable urban and regional development

Description
The aim of is to establish an information platform for sustainable urban and regional development. The data and services of the Copernicus space program, which have so far hardly been used in practice, will be developed and transferred into digital services: SAUBER will not only offer a comprehensive and detailed overview of the current air quality, but will also allow forecasts and simulations of the expected air quality using artificial-intelligence methods.

Partners

• German Aerospace Center (DLR)
  
• Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, HHI
• geomer GmbH
• Hof University of Applied Sciences, Institute of Information Systems (iisys)
• Leibniz Institute of Ecological Urban and Regional Development
• geomatics office meggsimum

Duration
October 2018 to September 2021

More information
sauber-projekt.de

SDI-C
Smart Data Innovation Challenges

Description
The Smart Data Innovation Lab (SDIL) offers big data researchers’ unique access to a large variety of big data and in-memory technologies. Industry and science collaborate closely to find hidden value in big data and generate smart data. The Smart Data Innovation Challenges (SDI-C) concept adds an important component to the Smart Data Innovation Lab (SDIL). SDI-C aims in particular to promote and enable innovative microprojects. AI projects are to be carried out equally by industry and research.

Partners

• Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS
• German Research Center for Artificial Intelligence
• Forschungszentrum Jülich
• SAP SE
• IBM
  

Duration
August 2019 to July 2022

More information
sdil.de

SENATOR
Smart network operator for sustainable governance decision-making based on shared-connected freight delivery towards a better urban planning

Funded by:

Description

The main objective of SENATOR project is to provide four governance schemes for urban planning policies: User demand planning, Transport planning, Freight & Logistics planning and City infrastructure focused, bringing together relevant stakeholders in urban freight logistics within one multi-collaborative framework based on a new urban logistics model to attend the requirements of the 'on demand economy'. Therefore, SENATOR develops a smart network operator supported on an ICT (Information and Communications Technology) platform for integrated logistics operation.

Partners

• Sociedad Estatal CORREOS y Telégrafos, S.A.
• Univ. de la Iglesia de DEUSTO Entidad Religiosa
• Ayuntamiento de ZARAGOZA
• Dublin City Council
• Câmara Municipal de Lisboa
• MDS Transmodal Ltd.
• RINA-C Consulting S.p.A.
• ZABALA Innovation Consulting S.A.
• DotGIS Corporation S.L.
• An Post
• University College Dublin
  

Duration
September 2020 to August 2024

More information
senatorproject.eu

SmartDelta
Automated Quality Assurance and Optimization in Incremental Industrial Software Systems Development

Description
The goal of SmartDelta is to provide an automated solution for the quality evaluation and -improvement of software in continuous development processes. Through the development of machine-aided data analysis techniques, quality assurance activities are identified, controlled and evaluated, so that the entire process of quality assurance along the requirements of iterative development processes can be efficiently can be implemented and verified. The result of the project is a tool chain for the quality assurance of critical software in iterative development processes.

Smart Delta is one of the ITEA projects. ITEA is the Eureka R&D&I Cluster on software innovation, enabling a large international community of large industry, SMEs, start-ups, academia and customer organisations, to collaborate in funded projects that turn innovative ideas into new businesses, jobs, economic growth and benefits for society.

Partners

• AKKA Industry Consulting GmbH
• Fraunhofer Institute for Open Communication Systems (Fokus)
• TWT GmbH Science & Innovation Institut
• Institute for Automation and Communication (IFAK)

Duration
October 2021 to September 2024

More information
smartdelta.org

sustAGE
Smart environments for person-centered sustainable work and well-being

Funded by:

Description

Aims to develop a person-centered smart solution, in close collaboration with occupational specialists, psychologists and end-users, aiming to support the employment and later retirement of older adults from work.

Partners

• Foundation for Research & Technology Hella
• sCentro Ricerche FIAT
• IMAGINARY Srl
• FORSCHUNGSGESELLSCHAFT FUR ARBEITSPHYSIOLOGIE UND ARBEITSSCHUTZ EV
• Hellenic Port Authority S.A.
• AEGIS IT Research UG
• University of Augsburg
• Aristotle University of Thessaloniki
• Universidad Nacional de Educacion a Distancia

Duration
January 2019 to December 2021

More Information
sustage.eu

ZDMP
Zero Defects Manufacturing Platform

Funded by:

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
zdmp.eu

EVAREST
Generation and Utilization of Data Products in the Food Industry through Smart Services

Description
Development and utilization of data products in the food production ecosystem through Smart Services. On the basis of a technical data platform with open technical standards created across manufacturer boundaries, the (legally) secure utilization of data as an economic good and the provision of user-specific Smart Services for various stakeholder groups will be made possible.

Partners

• Agricultural Market Information Company (AMI)
• CISPA - Helmholtz Center for It-Security
  
• FIR Aachen
• German Research Center for Artificial Intelligence (DFKI) 
• Lindt & Sprüngli GmbH
  

Duration
January 2019 to December 2021

EuProGigant
Artificial intelligence for energy technologies and applications in production

Description
EuProGiant implements the Gaia-X architecture through a German-Austrian consortium. As the first industrial project with practical implementation of GAIA-X principles, data-driven value creation will be rolled out in production, increasing productivity, revenue and energy efficiency while reducing CO2 equivalents and production costs. A cross-site, digitally networked production system built for EuProGigant will form the basis for a data ecosystem.

Partners

• A1 Digital International GmbH (Austria)
• Brinkhaus GmbH
• Concircle Management Consulting GmbH
• craftworks GmbH (Austria)
• EIT-Manufacturing GmbH (Germany and Austria)
• Gebr. Heller Maschinenfabrik GmbH (Germany)
• IGH Infotec AG (Germany)
• Institute of Production Management, Technology and Machine Tools (PTW), TU Darmstadt (Germany)
• Pilot Factory of TU Wien (Austria)
• Plasser & Theurer, Export von Bahnbaumaschinen, Gesellschaft m.b.H. (Austria)
• Stark Spannsysteme GmbH (Austria)
• WFL Millturn Technologies GmbH & Co. KG (Austria)

Duration
March 2021 to February 2025

More information
euprogigant.com
 

Gaia-X 4 AMS
Gaia-X 4 Advanced Mobility Services

Description
The goal of the GAIA-X 4 AMS project is to implement innovative, safety-critical mobility applications based on the concepts and technologies of Gaia-X. The aim is to explore a future federated ecosystem of services for highly connected vehicles. The focus is on two use cases: the first one is the networking and cooperation of automated vehicles with the surrounding overall traffic system and the second one deals with advancing emergency services with the opportunities provided by a highly connected traffic system. By networking various relevant actors and establishing a secure and federated data and service ecosystem, the aim is to increase traffic safety as well as the efficiency and transparency of the traffic system.

Partners
The project has 19 partners in total, including:

• German Aerospace Center (DLR)
• T-Systems
  
• Fraunhofer-Gesellschaft
• Altran (Capgemini Engineering)
• Continental
  
• Peregrine
• Central Office for Information Technology in the Security Sector (ZITiS)

Duration
December 2021 to September 2024

iECO
Intelligent Empowerment of Construction Industry

Description
The aim of iECO is to create a common data space for the construction industry based on Gaia-X and to use this to create a tamper-proof digital twin of the entire life cycle of a building. Thanks to the digital twin, data no longer has to be exchanged bilaterally and at great expense, but is available immediately and to everyone. On the one hand, this drastically reduces the companies' coordination costs, and on the other, it reduces the risk of important information being lost in the value chain.

Partners

• A1 Germany Digital GmbH
• Hof University of Applied Sciences
• Fraunhofer-Gesellschaft
• Implenia Germany GmbH
• N+P Information Systems GmbH
• TU Dresden
• IPROconsult GmbH
• IOTA Foundation

Duration
December 2021 to November 2024

Sustainable Development Goals

Goal 8: “Decent Work and Economic Growth”

• Target 8.2: “This project aims to increase economic productivity through diversification, technological upgrades and innovation with a focus on high value-added and labor-intensive sectors.”
• Target 8.4: “Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10 Year Framework of Programmes on Sustainable Consumption and Production, with developed countries taking the lead”
• Target 8.8: “Protect labour rights and promote safe and secure working environments for all workers, including migrant workers, in particular women migrants, and those in precarious employment”

Goal 9: „Industry, Innovation and Infrastructure“

• Target 9.2: “Promote inclusive and sustainable industrialization and, by 2030, significantly raise industry’s share of employment and gross domestic product, in line with national circumstances, and double its share in least developed countries”
• Target 9.4: “Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities”

Goal 12: „ Ensure sustainable consumption and production patterns”

• Target 12.4: “By 2020, achieve the environmentally sound management of chemicals and all wastes throughout their life cycle, in accordance with agreed international frameworks, and significantly reduce their release to air, water and soil in order to minimize their adverse impacts on human health and the environment”
• Target 12.5: “By 2030, substantially reduce waste generation through prevention, reduction, recycling and reuse”
• Target 12.6: “Encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle”

AIToC
Artificial Intelligence-supported Tool Chain in Manufacturing Engineering

Funded by:

Description
The goal is to develop an integrated toolchain for manufacturing engineering that supports decision-making in early phases. To achieve this, the toolchain will support the formalization and automated analysis of requirements and the computer aided generation of process plans and simulation models. In all these dimensions, artificial intelligence will be used for optimization and monitoring based on sensor data in the plant and synthetic data in a digital twin. The interoperability of engineering tools is also in focus and will be developed using standardized neutral data formats.

Partners

• Daimler Buses -EvoBus GmbH
• Ford Otosan
  
• German Research Centre for Artificial Intelligence
  
• TWT GmbH Science & Innovation GmbH
• Volvo Group
  

Duration
October 2020 to September 2023

More information
itea3.org

AMCOCS
Additive Manufactured Component Certification Services

Funded by:

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 Institute for Transportation and Infrastructure Systems IVI
• IMA Materialforschung und Anwendungstechnik GmbH
• Technical University of Dresden
  

AUDIo
Auditing ML-based data driven services

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 IWU
• 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

More information
audio-projekt.net

DESPRIMA
Demand side and production management for beverage bottling processes

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

More information
desprima.de

DM4AR
Datamanagement for Augmented Reality

Funded by:

Description
The aim of the project is to promote the widespread use of the Augmented Reality (AR) technology in technical services. For this purpose, an AR content generator for the automated generation of AR content as well as incentive systems and reference processes for the integrated capture of implicit knowledge will be developed.

Partners

• FIR e. V. Aachen
• YNCORIS GmbH & Co. KG
• oculavis GmbH
• Top Mehrwert Logistik GmbH & Co. KG
• thyssenkrupp Industrial Solutions AG
  

RESPOND
Resilient socio-technical processes in the industrial Internet of Things

Funded by:

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

• Karlsruhe University of Applied Sciences Faculty of Information Management and Media and Institute of Ubiquitous Mobility Systems
• SITEC Industrietechnologie GmbH
• Fraunhofer Institute for Machine Tools and Forming Technology IWU
• Karlsruhe Institute for Program Structures and Data Organization
• TTI Technologie-Transfer-Initiative GmbH
• INTEC International GmbH
  

SynErgie 2
Synchronized and energy-adaptive manufacturing engineering for flexible alignment to a fluctuating energy supply

Funded by:

Description
SynErgie will demonstrate how energy-intensive production processes can be adjusted to a volatile energy supply. The project is developing a synchronization platform that steers and monitors energy distribution within the production system and responds to flexibility requirements within the power system in a highly dynamic manner. The focus of the second funding phase, which started in November 2019, is on demonstrating the approach in industrial pilot applications and on transferring technologies and solutions.

Partners

• The consortium consists of more than 80 partners from research, industry, and civil society.
  

Sustainable Development Goals

• Goal 7: “Affordable and Clean Energy”
• Target 7.2: “Increase substantially the share of renewable energy in the global energy mix”
• Target 7.3: “Double the global rate of improvement in energy efficiency” 
• Target 7. A: “Enhance international cooperation to facilitate access to clean energy research and technology, including renewable energy, energy efficiency and advanced and cleaner fossil-fuel technology, and promote investment in energy infrastructure and clean energy technology” 
   
• Goal 8: “Decent Work and Economic Growth”
•  Target 8.5: “Achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal value” 
   
• Goal 9: “Industry, Innovation, and Infrastructure” 
• Target 9.4: “Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities”
  

ZDMP
Zero Defects Manufacturing Platform

Funded by:

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
zdmp.eu

DESPRIMA
Demand side and production management for beverage bottling processes

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

More information
desprima.de

EuProGigant
Artificial intelligence for energy technologies and applications in production

Description
EuProGiant implements the Gaia-X architecture through a German-Austrian consortium. As the first industrial project with practical implementation of GAIA-X principles, data-driven value creation will be rolled out in production, increasing productivity, revenue and energy efficiency while reducing CO2 equivalents and production costs. A cross-site, digitally networked production system built for EuProGigant will form the basis for a data ecosystem.

Partners

• A1 Digital International GmbH (Austria)
• Brinkhaus GmbH
• Concircle Management Consulting GmbH
• craftworks GmbH (Austria)
• EIT-Manufacturing GmbH (Germany and Austria)
• Gebr. Heller Maschinenfabrik GmbH (Germany)
• IGH Infotec AG (Germany)
• Institute of Production Management, Technology and Machine Tools (PTW), TU Darmstadt (Germany)
• Pilot Factory of TU Wien (Austria)
• Plasser & Theurer, Export von Bahnbaumaschinen, Gesellschaft m.b.H. (Austria)
• Stark Spannsysteme GmbH (Austria)
• WFL Millturn Technologies GmbH & Co. KG (Austria)

Duration
March 2021 to February 2025

More information
euprogigant.com
 

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:

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
dfki.de

iECO
Intelligent Empowerment of Construction Industry

Description
The aim of iECO is to create a common data space for the construction industry based on Gaia-X and to use this to create a tamper-proof digital twin of the entire life cycle of a building. Thanks to the digital twin, data no longer has to be exchanged bilaterally and at great expense, but is available immediately and to everyone. On the one hand, this drastically reduces the companies' coordination costs, and on the other, it reduces the risk of important information being lost in the value chain.

Partners

• A1 Germany Digital GmbH
• Hof University of Applied Sciences
• Fraunhofer-Gesellschaft
• Implenia Germany GmbH
• N+P Information Systems GmbH
• TU Dresden
• IPROconsult GmbH
• IOTA Foundation

Duration
December 2021 to November 2024

Sustainable Development Goals

Goal 8: “Decent Work and Economic Growth”

• Target 8.2: “This project aims to increase economic productivity through diversification, technological upgrades and innovation with a focus on high value-added and labor-intensive sectors.”
• Target 8.4: “Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10 Year Framework of Programmes on Sustainable Consumption and Production, with developed countries taking the lead”
• Target 8.8: “Protect labour rights and promote safe and secure working environments for all workers, including migrant workers, in particular women migrants, and those in precarious employment”

Goal 9: „Industry, Innovation and Infrastructure“

• Target 9.2: “Promote inclusive and sustainable industrialization and, by 2030, significantly raise industry’s share of employment and gross domestic product, in line with national circumstances, and double its share in least developed countries”
• Target 9.4: “Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities”

Goal 12: „ Ensure sustainable consumption and production patterns”

• Target 12.4: “By 2020, achieve the environmentally sound management of chemicals and all wastes throughout their life cycle, in accordance with agreed international frameworks, and significantly reduce their release to air, water and soil in order to minimize their adverse impacts on human health and the environment”
• Target 12.5: “By 2030, substantially reduce waste generation through prevention, reduction, recycling and reuse”
• Target 12.6: “Encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle”

LOGISTAR
Enhanced Data Management Techniques For Logistics Planning And Scheduling In Real Time

Funded by:

Description

LOGISTAR aims to allow effective planning and optimizing of transport operations in the supply chain by taking advantage of horizontal collaboration, relying on the increasingly real-time data gathered from the interconnected environment. For this, a real-time decision making tool and a real-time visualization tool of freight transport will be developed.

Partners

• DeustoTech
• University College Cork
• Semantic Web Company Gmbh
• Preston Solution
• sMDS Transmodal
• Consejo Superior de Investigaciones Científicas
• dbh Logistics IT AG
• Ahlers Belgium
• Consorzio Zailog (interporto of verona)
• Nestec York
  
• CHEP Pallecon Europe
  

Duration
June 2018 to September 2021

More information
logistar-project.eu

RESPOND
Resilient socio-technical processes in the industrial Internet of Things

Funded by:

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

• Karlsruhe University of Applied Sciences Faculty of Information Management and Media and Institute of Ubiquitous Mobility Systems
• SITEC Industrietechnologie GmbH
• Fraunhofer Institute for Machine Tools and Forming Technology IWU
• Karlsruhe Institute for Program Structures and Data Organization
• TTI Technologie-Transfer-Initiative GmbH
• INTEC International GmbH
  

SENATOR
Smart network operator for sustainable governance decision-making based on shared-connected freight delivery towards a better urban planning

Funded by:

Description

The main objective of SENATOR project is to provide four governance schemes for urban planning policies: User demand planning, Transport planning, Freight & Logistics planning and City infrastructure focused, bringing together relevant stakeholders in urban freight logistics within one multi-collaborative framework based on a new urban logistics model to attend the requirements of the 'on demand economy'. Therefore, SENATOR develops a smart network operator supported on an ICT (Information and Communications Technology) platform for integrated logistics operation.

Partners

• Sociedad Estatal CORREOS y Telégrafos, S.A.
• Univ. de la Iglesia de DEUSTO Entidad Religiosa
• Ayuntamiento de ZARAGOZA
• Dublin City Council
• Câmara Municipal de Lisboa
• MDS Transmodal Ltd.
• RINA-C Consulting S.p.A.
• ZABALA Innovation Consulting S.A.
• DotGIS Corporation S.L.
• An Post
• University College Dublin
  

Duration
September 2020 to August 2024

More information
senatorproject.eu

sustAGE
Smart environments for person-centered sustainable work and well-being

Funded by:

Description

Aims to develop a person-centered smart solution, in close collaboration with occupational specialists, psychologists and end-users, aiming to support the employment and later retirement of older adults from work.

Partners

• Foundation for Research & Technology Hella
• sCentro Ricerche FIAT
• IMAGINARY Srl
• FORSCHUNGSGESELLSCHAFT FUR ARBEITSPHYSIOLOGIE UND ARBEITSSCHUTZ EV
• Hellenic Port Authority S.A.
• AEGIS IT Research UG
• University of Augsburg
• Aristotle University of Thessaloniki
• Universidad Nacional de Educacion a Distancia

Duration
January 2019 to December 2021

More Information
sustage.eu

VersiPack
Versatile and self-organizing system for user-specific beverage packaging

Description
The aim of the overall project is to create a novel, versatile line concept for beverage filling. "As-a-Service" should it enable even smaller beverage bottlers to use fully automated packaging lines. At present, this is not economical for them due to their relatively low output. At the heart of VersiPack is a digital platform that handles the entire process in a (partially) automated way, from ordering the packaging service and the customized configuration of the packaging line to its delivery and deployment.

Partners

• Technical University of Munich, Chair of Brewing and Beverage Technology
• Fraunhofer Institute for Casting, Composite and Processing Technology IGCV
• Weber Marking System GmbH
• Schneider Weisse G. Schneider & Sohn GmbH
• Trans tech Weisser GmbH
• Urban Chestnut Brewing Co Deutschland GmbH

Duration
August 2021 to September 2024

Daten Tanken
Data Recharging

Description
Develops and defines digital business processes concerning the economically viable operation of mobility and energy services and transfers the results to digital business models. This way, the grid-compatible construction of both the public charging infrastructure for electric vehicles in Dresden as well as the partly public infrastructure for logistics providers and residential building companies is promoted.

Partners

• Landeshauptstadt Dresden (Dresden City), Amt für Wirtschaftsförderung
• DREWAG NETZ GmbH
• Technical University of Dresden
  
• Mobility Center GmbH Leipzig
  
• Mobilitätswerk GmbH
• Fraunhofer Institute for Transportation and Infrastructure Systems IVI
• Cleopa GmbH
  

Duration
August 2018 to September 2022

KLIPS
AI-based information platform for the localization and simulation of heat islands for innovative urban and traffic planning

Description
The aim of KLIPS is to develop a digital information platform for the localization, prognosis and simulation of heat islands. Thanks to swarm sensor technology and AI methods, the platform not only makes it possible to detect heat islands in urban areas, but also to predict their formation.

Partners

• German Aerospace Center (DLR)
• Pikobytes
• Fraunhofer Institute for Telecommunications,
• Heinrich Hertz Institute
• University of Applied Sciences Hof
• Leibniz Institute of Ecological
• Urban and Regional Development
• meggsimum
• City of Leipzig
• City of Langenfeld

Duration
October 2020 to September 2023

More information
klips-projekt.de

SAUBER
Satellite-based System to display, predict, and simulate air pollutants for a sustainable urban and regional development

Description
The aim of is to establish an information platform for sustainable urban and regional development. The data and services of the Copernicus space program, which have so far hardly been used in practice, will be developed and transferred into digital services: SAUBER will not only offer a comprehensive and detailed overview of the current air quality, but will also allow forecasts and simulations of the expected air quality using artificial-intelligence methods.

Partners

• German Aerospace Center (DLR)
  
• Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, HHI
• geomer GmbH
• Hof University of Applied Sciences, Institute of Information Systems (iisys)
• Leibniz Institute of Ecological Urban and Regional Development
• geomatics office meggsimum

Duration
October 2018 to September 2021

More information
sauber-projekt.de

SENATOR
Smart network operator for sustainable governance decision-making based on shared-connected freight delivery towards a better urban planning

Funded by:

Description

The main objective of SENATOR project is to provide four governance schemes for urban planning policies: User demand planning, Transport planning, Freight & Logistics planning and City infrastructure focused, bringing together relevant stakeholders in urban freight logistics within one multi-collaborative framework based on a new urban logistics model to attend the requirements of the 'on demand economy'. Therefore, SENATOR develops a smart network operator supported on an ICT (Information and Communications Technology) platform for integrated logistics operation.

Partners

• Sociedad Estatal CORREOS y Telégrafos, S.A.
• Univ. de la Iglesia de DEUSTO Entidad Religiosa
• Ayuntamiento de ZARAGOZA
• Dublin City Council
• Câmara Municipal de Lisboa
• MDS Transmodal Ltd.
• RINA-C Consulting S.p.A.
• ZABALA Innovation Consulting S.A.
• DotGIS Corporation S.L.
• An Post
• University College Dublin
  

Duration
September 2020 to August 2024

More information
senatorproject.eu

DESPRIMA
Demand side and production management for beverage bottling processes

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
  

• Goal 7:“Affordable and Clean Energy” 
• Target 7.2: “Increase substantially the share of renewable energy in the global energy mix” and target 7.3 “Double the global rate of improvement in energy efficiency”

More information
desprima.de

E2COMATION
Life-cycle optimization of industrial energy efficiency by a distributed control and decision-making automation platform 

Funded by:

Description
E2COMATION aims at providing a cross-sectorial methodological framework and a technological platform to monitor, predict and evaluate energy efficiency and life-cycle impact of the behavior of a factory, to adapt and optimize dynamically not only its real-time behavior over different time-scales, but also its strategic positioning with respect to the complex supply and value chains it belongs to.

Partners

• Consiglio Nazionale delle
• Ricerche 
• nxtControl – Schneider
• Electric 
• Synesis Scarl 
• Simplan AG 
• ACT Operations Research Ltd 
• SIGMAtools GmbH 
• KU Leuven 
• ThinkingAdditive Ltd 
• Athens Technology Center SA 
• AIDIMME Instituto Tecnologico 
• Scuola Universitaria Professionale
• Svizzera Italiana 
• OCME Srl 
• Mahou-San Miguel 
• Condis 
• Kastamonu Entegre A.S. 
• Royo Group 
• SCM Group 
  

Duration
November 2020 to April 2024

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:

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
dfki.de

KI4ETA
Artificial intelligence for energy technologies and applications in production          

Description
The goal is to use AI to narrow the so-called energy-efficiency gap—the difference between the energy savings that are technically possible in a factory and those that have already been realized in industry. To this end, an AI-based, scalable energy management platform is being developed on which the factory's machine, building and energy data are brought together. Automated with AI, measures for optimizing energy consumption are derived. 

Partners

• German Research Center for Artificial Intelligence (DFKI)
• Entega AG
  
• Robert Bosch GmbH
  
• Technical University of Darmstadt

Duration
June 2021 to May 2024

More information
www.ptw.tu-darmstadt.de/forschung_ptw/eta/aktuelle_projekte_eta/ki4eta/index.de.jsp

SynErgie 2
Synchronized and energy-adaptive manufacturing engineering for flexible alignment to a fluctuating energy supply

Funded by:

Description
SynErgie will demonstrate how energy-intensive production processes can be adjusted to a volatile energy supply. The project is developing a synchronization platform that steers and monitors energy distribution within the production system and responds to flexibility requirements within the power system in a highly dynamic manner. The focus of the second funding phase, which started in November 2019, is on demonstrating the approach in industrial pilot applications and on transferring technologies and solutions.

Partners
The consortium consists of more than 80 partners from research, industry, and civil society.

• Goal 7: “Affordable and Clean Energy”
• Target 7.2: “Increase substantially the share of renewable energy in the global energy mix”
• Target 7.3: “Double the global rate of improvement in energy efficiency” 
• Target 7. A: “Enhance international cooperation to facilitate access to clean energy research and technology, including renewable energy, energy efficiency and advanced and cleaner fossil-fuel technology, and promote investment in energy infrastructure and clean energy technology” 
   
• Goal 8: “Decent Work and Economic Growth”
•  Target 8.5: “Achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal value” 
   
• Goal 9: “Industry, Innovation, and Infrastructure” 
• Target 9.4: “Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities”
  

More Information
synergie-projekt.de

Cartox²
Service platform for urban coverage of C2C Communication

Description
Develops a platform for basic services for automated and connected driving. It also integrates the network coverage for the Car-2- infrastructure communication as well as the data routing between edge clouds and access points of the cloud environment.

Partners

• CETECOM 
• Fraunhofer Institute for Transportation and Infrastructure Systems IVI
• HRD.Consulting 
• MechLab Engineering 
• Technical University of Dresden
  
• TÜV NORD
  

Daten Tanken
Data Recharging

Description
Develops and defines digital business processes concerning the economically viable operation of mobility and energy services and transfers the results to digital business models. This way, the grid-compatible construction of both the public charging infrastructure for electric vehicles in Dresden as well as the partly public infrastructure for logistics providers and residential building companies is promoted.

Partners

• Landeshauptstadt Dresden, Amt für Wirtschaftsförderung
• DREWAG NETZ GmbH
• Technische Universität Dresden
• Mobility Center GmbH
• Mobilitätswerk GmbH
• Fraunhofer Institut für Verkehrs- und Infrastruktursysteme
• Cleopa GmbH
  

Duration
August 2018 to September 2022

Sustainable Development Goals

• Goal 7: "Affordable and Clean Energy"
• Target 7.1: "Ensure universal access to affordable, reliable and modern energy services"
  
  
• Goal 9: "Industry, Innovation, and Infrastructure"
• Target 9.1: "Develop quality, reliable, sustainable and resilient infrastructure, including regional and transborder infrastructure, to support economic development and human well-being, with a focus on affordable and equitable access for all."
   
• Goal 11: "Sustainable Cities and Communities"
• Target 11.6: "Reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste management."

More information
dresden.de/datentanken

Gaia-X 4 AMS
Gaia-X 4 Advanced Mobility Services

Description
The goal of the GAIA-X 4 AMS project is to implement innovative, safety-critical mobility applications based on the concepts and technologies of Gaia-X. The aim is to explore a future federated ecosystem of services for highly connected vehicles. The focus is on two use cases: the first one is the networking and cooperation of automated vehicles with the surrounding overall traffic system and the second one deals with advancing emergency services with the opportunities provided by a highly connected traffic system. By networking various relevant actors and establishing a secure and federated data and service ecosystem, the aim is to increase traffic safety as well as the efficiency and transparency of the traffic system.

Partners
The project has 19 partners in total, including:

• German Aerospace Center (DLR)
• T-Systems
  
• Fraunhofer-Gesellschaft
• Altran (Capgemini Engineering)
• Continental
  
• Peregrine
• Central Office for Information Technology in the Security Sector (ZITiS)

Duration
December 2021 to September 2024

LOGISTAR
Enhanced Data Management Techniques For Logistics Planning And Scheduling In Real Time

Funded by:

Description

LOGISTAR aims to allow effective planning and optimizing of transport operations in the supply chain by taking advantage of horizontal collaboration, relying on the increasingly real-time data gathered from the interconnected environment. For this, a real-time decision making tool and a real-time visualization tool of freight transport will be developed.

Partners

• DeustoTech
• University College Cork
• Semantic Web Company Gmbh
• Preston Solution
• sMDS Transmodal
• Consejo Superior de Investigaciones Científicas
• dbh Logistics IT AG
• Ahlers Belgium
• Consorzio Zailog (interporto of verona)
• Nestec York
  
• CHEP Pallecon Europe
  

Duration
June 2018 to September 2021

More information
logistar-project.eu

SENATOR
Smart network operator for sustainable governance decision-making based on shared-connected freight delivery towards a better urban planning

Funded by:

Description

The main objective of SENATOR project is to provide four governance schemes for urban planning policies: User demand planning, Transport planning, Freight & Logistics planning and City infrastructure focused, bringing together relevant stakeholders in urban freight logistics within one multi-collaborative framework based on a new urban logistics model to attend the requirements of the 'on demand economy'. Therefore, SENATOR develops a smart network operator supported on an ICT (Information and Communications Technology) platform for integrated logistics operation.

Partners

• Sociedad Estatal CORREOS y Telégrafos, S.A.
• Univ. de la Iglesia de DEUSTO Entidad Religiosa
• Ayuntamiento de ZARAGOZA
• Dublin City Council
• Câmara Municipal de Lisboa
• MDS Transmodal Ltd.
• RINA-C Consulting S.p.A.
• ZABALA Innovation Consulting S.A.
• DotGIS Corporation S.L.
• An Post
• University College Dublin
  

Duration
September 2020 to August 2024

Sustainable Development Goals

• Goal 8: “Decent Work and Economic Growth”
• Target 8.3: “Promote development-oriented policies that support productive activities, decent job creation, entrepreneurship, creativity and innovation, and encourage the formalization and growth of micro-, small- and medium-sized enterprises, including through access to financial services”
• Target 8.8: “Protect labour rights and promote safe and secure working environments for all workers, including migrant workers, in particular women migrants, and those in precarious employment”
   
• Goal 9: “Industry, Innovation and Infrastructure”
• Target 9.1: “Develop quality, reliable, sustainable and resilient infrastructure, including regional and transborder infrastructure, to support economic development and human well-being, with a focus on affordable and equitable access for all”
• Target 9.4: “Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities”
   
• Goal 11: “Sustainable Cities and Communitities”
• Target 11.3: “Enhance inclusive and sustainable urbanization and capacity for participatory, integrated and sustainable human settlement planning and management in all countries”
• Target 11.6: “Reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste management”
   
• Goal 13: “Climate Action”
• Target 13.2: “Integrate climate change measures into national policies, strategies and planning”

More information
senatorproject.eu

Inverse Transparenz
Participation-Oriented approaches for Data Sovereignty in the Digital Working World

Funded by:

Description
The project investigates participatory approaches that empowers employees to use personal data to make work processes more efficient and at the same time ensures a modern way of data protection.

Partners

• ISF Munich—Institute for Social Science Research
• Technical University of Munich
  
• Ludwig-Maximilians-Universität München (LMU Munich)
  

Duration
November 2018 to October 2021

• Goal 8: “Decent Work and Economic Growth”
• Target 8.8: “Protect labour rights and promote safe and secure working environments for all workers, including migrant workers, in particular women migrants, and those in precarious employment”
  

More Information
inversetransparenz.de

KLIPS
AI-based information platform for the localization and simulation of heat islands for innovative urban and traffic planning 

Description
The aim of KLIPS is to develop a
digital information platform for the localization, prognosis and simulation of heat islands. Thanks to swarm sensor technology and AI methods, the platform not only makes it possible to detect heat islands in urban areas, but also to predict their formation.

Partners

• German Aerospace Center (DLR)
• Pikobytes
• Fraunhofer Institute for Telecommunications,
• Heinrich Hertz Institute
• University of Applied Sciences Hof
• Leibniz Institute of Ecological
• Urban and Regional Development
• meggsimum
• City of Leipzig
• City of Langenfeld

• Goal 3: “Good Health and Well-being”
• Target 3.9: “By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination."
   
• Goal 13: “Climate Action”
• Target 13.3: “Improve education, awareness-raising and human and institutional capacity on climate change mitigation, adaptation, impact reduction and early warning” 

More information
klips-projekt.de

s:ne
System Innovation for Sustainable Development – Knowledge Transfer as a Regional Learning Process. Information and Communication Technologies to Manage Leather Product Supply Chains

Funded by:

Description
S:NE will transform the fragmented transfer activities of the University of Applied Science Darmstadt into an integrated “learning system.” Implemented in the use case called leather chemicals, the aim of the project is to explore and evaluate the potential of using Information and Communication Technology (ICT) for sustainable consumption and production methods on a conceptual level.

The most important outcome is complete transparency across the entire supply chain in order to detect or prevent prohibited impurities or undesirable contaminations by using ICT (such as the Internet of Things).

S:NE is part of the funding program of “Innovative Hochschule” (“Innovative University”) – a cooperation between the German federal government and the federal states.

Partners

• Hochschule Darmstadt – University of Applied Sciences 
• Öko-Institut e.V., Institute of Applied Ecology
• Institut Wohnen und Umwelt GmbH (IWU) - Institute for Housing and Environment
• Institute for Social Ecological Öko Institut Wohnen und Umwelt GmbH (IWU) - Institute for Housing and Environment -Institut e.V., Institute of Applied Ecology Research (ISOE)
• e-hoch-3 GbR, Darmstadt
  

Duration
January 2018 to December 2022

• Goal 12: “Responsible Consumption and Production”
  Target 12.6: “Encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle”

More Information
sne.h-da.de

sustAGE
Smart environments for person-centered sustainable work and well-being

Funded by:

Description

Aims to develop a person-centered smart solution, in close collaboration with occupational specialists, psychologists and end-users, aiming to support the employment and later retirement of older adults from work.

Partners

• Foundation for Research & Technology Hella
• sCentro Ricerche FIAT
• IMAGINARY Srl
• FORSCHUNGSGESELLSCHAFT FUR ARBEITSPHYSIOLOGIE UND ARBEITSSCHUTZ EV
• Hellenic Port Authority S.A.
• AEGIS IT Research UG
• University of Augsburg
• Aristotle University of Thessaloniki
• Universidad Nacional de Educacion a Distancia

Duration
January 2019 to December 2021

Sustainable Development Goals

• Goal 8: “Decent Work and Economic Growth”
• Target 8.2: “Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high-value added and labour-intensive sectors”
• Target 8.5: “Achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal."

More Information
sustage.eu

SAUBER
Satellite-based System to display, predict, and simulate air pollutants for a sustainable urban and regional development

Description
The aim of is to establish an information platform for sustainable urban and regional development. The data and services of the Copernicus space program, which have so far hardly been used in practice, will be developed and transferred into digital services: SAUBER will not only offer a comprehensive and detailed overview of the current air quality, but will also allow forecasts and simulations of the expected air quality using artificial-intelligence methods.

Partners

• Deutsches Zentrum für Luft- und Raumfahrt
• Fraunhofer Institut für Nachrichtentechnik, Heinrich-Hertz-Institut
• geomer GmbH
• Hochschule Hof, Institut für Informationssysteme
• Leibniz-Institut für ökologische Raumentwicklung e.V.
  

Duration
October 2018 to September 2021

Sustainable Development Goals

• Goal 3: “Good Health and Well-being”
• Target 3.9: "By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination."
   
• Goal 13: “Climate Action”
• Target 13.3: “Improve education, awareness-raising and human and institutional capacity on climate change mitigation, adaptation, impact reduction and early warning.”

More Information
sauber-projekt.de