Research Activities
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
Duration
October 2020 to September 2023
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itea3.org
Funded by:
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
Duration
September 2019 to August 2022
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audio-projekt.net
Funded by
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
Duration
March 2021 to February 2025
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europrogiant.com
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
Duration
May 2021 to April 2024
More information
itea3.org
Funded by
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
Duration
June 2021 to May 2024
Funded by:
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
Duration
October 2020 to September 2023
More information
klips-projekt.de
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
Duration
October 2020 to September 2025
Funded by
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
Duration
February 2020 to January 2023 (implementation period)
More information
ki-reif.de
Funded by
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
Duration
October 2018 to September 2021
More information
sauber-projekt.de
Funded by
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
Duration
August 2019 to July 2022
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sdil.de
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
Duration
January 2019 to December 2021
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sustage.eu
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
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zdmp.eu
Funded by:
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
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
Funded by:
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
Funded by:
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
Duration
July 2019 to June 2022
More information
desprima.de
Funded by:
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
Duration
September 2016 to August 2019
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disrupt-project.eu
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
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
Funded by:
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
Duration
January 2018 to December 2020
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ibidaas.eu
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
Funded by:
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
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
Duration
January 2019 to December 2021
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sustage.eu
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
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
Funded by:
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
Funded by:
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
Duration
January 2018 to December 2020
More information
ibidaas.eu
Funded by:
Description
Aims to combine real-time big data, cloud computing and fog computing research in order to provide an innovative solution for addressing the very complex requirement for cloud-based, adaptive real-time big data processing.
Partners
Duration
January 2017 to December 2019
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prestocloud-project.eu
Funded by:
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
Duration
July 2019 to June 2022
More information
desprima.de
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
Duration
November 2020 to April 2024
Funded by:
Description
Aims to design an energy system that will implement smart software and storage technologies so that the pilot region in northwestern Germany will be able to run entirely on locally produced energy in the future. Innovation in the energy system infrastructure will enable the technical and digital synergy of the grid, market and data.
Partners
75 partners, among them:
Duration
January 2017 to December 2020
More information
projekt-enera.de
Funded by:
Description
Designs and implements an innovative communication approach with information technology for the Internet of Energy. Security and reliability are the focus of the communication infrastructure, which has to be developed.
Partners
Duration
May 2016 to October 2018
More information
esafe-net.de
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
Duration
June 2019 to May 2022
More Information
dfki.de
Funded by
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
Duration
June 2021 to May 2024
Funded by:
Description
Develops solutions for a flexible energetic load management in industrial enterprises. This should enable companies to adjust their energy consumption to the volatile power markets.
Partners
Duration
December 2016 to November 2019
Funded by:
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 Bahia (Brazil) in the area of energy management.
Partners
Duration
April 2017 to March 2019
More Information
software-cluster.org
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 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.
Duration
September 2016 to October 2022
More Information
kopernikus-projekte.de
Funded by:
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
Duration
March 2017 to February 2020
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
Duration
November 2020 to April 2024
More information
https://e2comation.eu/
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
Duration
June 2018 to September 2021
More information
logistar-project.eu
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
Duration
September 2020 to August 2024
More information
senatorproject.eu
Funded by:
Description
Demonstrates the transformations that Big Data will bring to the mobility and logistics market. Transforming Transport validates the technical and economic viability of Big Data to reshape transport processes and services to significantly increase operational efficiency, deliver improved customer experience, and foster new business models.
Partners
46 partners all over Europe among them:
Duration
January 2017 to June 2019
Funded by:
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
Duration
August 2018 to September 2022
Funded by:
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
Duration
January 2019 to December 2021
Funded by:
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
Duration
October 2020 to September 2023
More information
klips-projekt.de
Funded by:
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
Duration
Funded by:
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
Duration
August 2019 to July 2022
More information
sdil.de
Funded by:
Description
Aims to define a platform, that systematically collects, analyses, processes and correlates all available information for a targeted, scalable real-time disaster management.
Partners
Duration
April 2015 to March 2018
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
Duration
September 2020 to August 2024
Funded by:
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
Duration
August 2018 to September 2022
Sustainable Development Goals
More information
dresden.de
Funded by:
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
More information
desprima.de
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
Duration
November 2020 to April 2024
Sustainable Development Goals
Funded by:
Description
Development of an Interactive and Emotion-Sensitive Learning System for the Development of Competencies in the Area of Business Process Management. The combination of 3-dimensional and multimedia visualized business process elements in a virtual reality (VR) scenario forms the core.
Partners
Duration
March 2016 to February 2019
More Information
elise-lernen.de
Funded by:
Description
Aims to design an energy system that will implement smart software and storage technologies so that the pilot region in northwestern Germany will be able to run entirely on locally produced energy in the future. Innovation in the energy system infrastructure will enable the technical and digital synergy of the grid, market and data.
Partners
75 partners, among them:
More Information
projekt-enera.de
Funded by
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
Duration
March 2021 to February 2025
More information
europrogiant.com
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
Duration
November 2018 to October 2021
More Information
inversetransparenz.de
Funded by
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
Duration
June 2021 to May 2024
Funded by:
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
More information
klips-projekt.de
Funded by:
Description
Develops solutions for a flexible energetic load management in industrial enterprises. This should enable companies to adjust their energy consumption to the volatile power markets.
Partners
Duration
December 2016 to November 2019
More Information
phi-factory.de
Funded by
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
Duration
April 2019 to September 2019 (design period)
February 2020 to January 2023 (implementation period)
Sustainable Development Goals
More information
ki-reif.de
Funded by:
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
Duration
October 2018 to September 2021
Sustainable Development Goals
More Information
sauber-projekt.de
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
Duration
September 2020 to August 2024
Sustainable Development Goals
More information
senatorproject.eu
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
Duration
January 2019 to December 2021
Sustainable Development Goals
More Information
sustage.eu
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
Duration
January 2018 to December 2022
More Information
sne.h-da.de
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.
More Information
kopernikus-projekte.de