Next Generation 12+MW Rated, Robust, Reliable and Large Offshore Wind Energy Converters for Clean, Low Cost and Competitive Electricity
Offshore wind energy is a key technology for generating renewable energies. Due to its complex processes regarding installation, operation and service, and therefore relatively high costs, offshore wind energy converters still cannot compete with today’s energy market prices. To create a competitive offshore WEC with a Levelised Cost of Electricity (LCoE) target of €35/MWh ReaLCoE takes a holistic approach and scrutinises costs in each link of the value chain.
As a key element of ReaLCoE, BIBA focusses on the digitisation of future offshore WECs and their adhered value chain. Besides the integration of sensors and the implementation of a condition-based monitoring system, the digital representation of the WECs through a digital twin (“product avatar”) takes a major part in BIBAs contribution to ReaLCoE. Building on this, a concept for predictive maintenance will be developed and realized. Furthermore, BIBA will develop optimised logistic and installation concepts and will conduct various performance simulations for a further reduction of supply chain and installation costs. To validate the concept, a technology platform for a first prototype of a digitised 12+MW turbine as well as a pre-series array of 4-6 WEC will be installed, demonstrated and tested.
Duration 01.05.2018 - 31.10.2021, Funded by H2020
Agile Virtual Testing: Alignment of Tesing Environments
The implementation of the vertical and horizontal consistency within the functional test process of avionic systems is the main objective of the German national research project AGILE-VT.
The first level of consistency focuses on interoperability in the vertical and horizontal linkage of test environments. For this purpose, the test preparation and test execution is optimized to such an extent that it is not restricted to a specific test environment. It should be portable to other test environments at a significantly lower cost than at present.
The second level of consistency focuses on the interoperability in test development and design support during the test preparation. For this purpose, the phase of test case creation is optimized so far that test cases can be exchanged across the boundaries of test departments in a common standard. In addition, the reusability of results from the test process will be increased by preparing them and suggesting them to the test engineer as part of design support.
The two listed groups of technological goals follow the main goal of consistency and will result in the achievement of interoperability in functional testing of aircraft.
Duration 01.01.2018 - 31.12.2020, Funded by BMWi
Collaborative robot-robot-human interaction for fruit laying
Depending on flexibility and capacity requirements, placing fruit on conveyors is either completely manual or fully automated in large plants. Affiliated to the process is a quality control and a final packaging. Against this background, large rationalization potentials for medium flexibility and capacity requirements can be identified by partial automation. The aim of the project is the development of a collaborative fruit lay-up system, which is freely scalable in terms of both employee and robot use and can support automated handling, quality control and packaging. The system should be universally applicable and can be adapted quickly to different types of fruit depending on the season. An essential feature is an intuitive work organization between human and robot.
Duration 01.01.2018 - 31.12.2019, Funded by BMWi
Mittelstand 4.0-Kompetenzzentrum Bremen
Das Mittelstand 4.0-Kompetenzzentrum Bremen bietet u. a. mittelständischen Unternehmen in der Region Bremen und darüber hinaus Unterstützung bei der Steigerung ihrer Digitalisierungskompetenzen. Insbesondere Fach- und Führungskräften in den Innovationsclustern Maritime Wirtschaft und Logistik, Windenergie, Luft- und Raumfahrt, Automobilwirtschaft sowie Nahrungs- und Genussmittelwirtschaft sollen für die Digitalisierung sensibilisiert, qualifiziert und zu "Digitalen Botschaftern" ausgebildet werden.
Duration 01.01.2018 - 31.12.2020, Funded by BMWi
Development of an unmanned aerial vehicle (UAV) with anattachment mechanism for the automatic inspection of wind turbines
With hub heights up to 160 meters and rotor blade lengths up to 88 meters, the inspection of wind turbines is a serious challenge. In this project we approach this problem by developing a UAV for the automatic inspection of wind turbine rotor blades. The UAV automatically scans the rotor blades for surface defects using optical sensors and machine learning methods. An attachment mechanisms further allows the UAV to establish mechanical contact with the rotor blade in order to inspect the functionality of the built-in lightning arrester.
Duration 01.01.2018 - 31.12.2019, Funded by BMWi
Integrated Adative Interaction System for Intermodal Mobility
Der Übergang zwischen verschiedenen Verkehrsmitteln ist oft mit Herausforderungen verbunden, bspw. bei der Mitnahme von Gepäck beim Umsteigen von der Bahn in den Bus. Mobilitätslösungen, die individuell den Übergang zwischen verschiedenen Verkehrsmitteln unterstützen, versprechen eine passgenaue Mobilität und somit höhere Lebensqualität.
Ziele und Vorgehen
Im Projekt soll ein Mobilitätskonzept für die intermodale Mobilität von Personen mit körperlichen Einschränkungen erstellt werden, dessen Hauptgegenstand autonome miniaturisierte Fahrzeuge sind, die während intermodaler Reisen intelligent unterstützen. Für eine effektive Unterstützung (Ein-, Ausstiegs- oder Gehhilfen und Personen- sowie Gepäcktransport), erfolgt eine Kommunikation und Interaktion mit anderen Fahrzeugen (Bahnen, Bussen etc.) und der Infrastruktur (Haltestellen, Aufzügen etc.). Ferner soll eine selbstlernende, adaptive Steuerung und ein modulares Sensorframework konzipiert und so ein teil- und vollautonomes Fahren in konfliktären Verkehrsräumen möglich werden. Außerdem sollen adaptive altersgerechte Benutzerschnittstellen partizipativ gestaltet und das Konzept benutzerseitig evaluiert werden.
Innovationen und Perspektiven
Die Fahrzeuge verbinden Verkehrsmittel intelligent und unterstützen so Übergänge. Durch adaptive Interaktionsschnittstellen und eine intelligente Steuerung für Verkehrsräume mit unterschiedlichen Nutzungen werden Benutzerfreundlichkeit und Effizienz gesteigert.
Duration 01.12.2017 - 30.11.2018, Funded by BMBF
Maritime Regional Network for Integrated Digital Working and Learning
The objective of MARIDAL is the establishment of a regional, industry-related maritime transfer network that will initiate activities in the sense of a "digital pilot" on the subject of digital learning on ships and in the port, as well as qualifying for the digitized port world. The main application areas are the digitized maritime supply chain, the Smart Shipping, and the Digital Port. The focus is on the small and medium-sized enterprises (SMEs) in the maritime sector, as the resources for linking pedagogy and didactics, technology and organizational development are often lacking in SMEs and there is a need for learning from and among themselves. As a result, synergies can be exploited and competencies for the development of intensified knowledge transfer and qualification concepts can be built commonly.
Duration 01.12.2017 - 30.11.2021, Funded by BMBF
Redesigning Welding Profile for the Needs of Industry 4.0
WELD 4.0 is going to innovate the Welding VET by updating the European Welder profile, to harmonise and standardise requirements and training standards across Europe. The enhanced profile is also addressing new technologies in the context of Industry 4.0. Based on that profile, innovative tools are developed, including new approaches of teaching and learning using methods for skill and competence development such as Game Based Learning, Simulators and Serious Gaming. The new approach is piloted through hands-on approach seminars in three different industrial countries in Europe: Germany, Portugal and the UK.
Duration 01.12.2017 - 30.11.2019, Funded by Erasmus+
Im vorliegenden Projekt soll eine IT-gestützte Cowarehousing-Plattform sowie ein entsprechendes Geschäftsmodell konzipiert, implementiert, erprobt und evaluiert werden, so dass geteilte, kleinteilige und kurzfristige Lagernutzungen möglich werden. Das sogenannte Cowarehousing stellt einen äquivalenten Ansatz zum Teilen von Wohnraum (airbnb) in der Logistik dar und sorgt für eine bessere Balance zwischen Auslastung und Überkapazität. Anbieter könnten ungenutzte Lagerflächen über die Plattform kleinteilig und kurzfristig an entsprechende Nachfrager vermieten und so ihre Wertschöpfung steigern. Über die Plattform soll mittels Ansätzen des maschinellen Lernens ein automatisierter Abgleich von Angebot und Nachfrage erfolgen. Ebenfalls soll die Plattform die verschiedenen Parteien bei der Vertragsgestaltung und nutzungsbasierten Abrechnung sowie dem verteilten Bestandsmanagement unterstützen.
Duration 01.12.2017 - 30.11.2018, Funded by EFRE: Europäischer Fonds für regionale Entwicklung
Predictive and intelligent technical operation to reduce the risk of icing of wind turbines - Data Mining and Data Analytics
Structural loads do not only stress wind turbines and rotor blades, they are also affected by extreme environmental influences. Depending on the location of the wind turbine, there is a risk of icing at the leading edge of the rotor blades, in particular at low temperatures and high atmospheric humidity. Within the PiB project, a predictive and intelligent technical operation to reduce the risk of icing of wind turbines will be investigated. Therefore, a new, comprehensive approach based on data mining and data analysis is adopted. In this concept, historical data, meteorological data, and lifecycle data in addition to the current SCADA data is considered. In addition, the innovative system is not limited to one wind turbine or one wind farm. Furthermore, it is planned to enable networking with other wind parks. As result, it is intended to provide a comprehensive picture of the individual risk of icing for each wind turbine.
Duration 01.12.2017 - 01.11.2020, Funded by BMWi
Development of a highly flexible picking system
Picking is a core process of intralogistics tasks and pursues the goal of compiling deliveries according to customer order; the deliveries are thus subsets of the entire product range. The installation of complex and wired infrastructure systems that supports efficient picking procedures is expensive and also poorly adaptable to a changing warehouse infrastructure. An additional problem in the area of quality assurance of the picking process is the monitoring of the correct picking processes (picks). This is especially true when picking from non-sorted subjects has to be executed as well as the simultaneous processing of multiple orders, in which an item that has been picked takes place in order-specific containers on a picking trolley. In the project, this gap is to be closed by developing a picking system that can be easily and inexpensively integrated into an existing warehouse infrastructure, maintaining a high degree of flexibility of adaptation and ensuring high quality standards. The maintenance effort should also be significantly lower than with conventional wireless systems. The system to be developed represents a deliberate departure from the development trend of continuous automation of warehouses and picking processes.
Duration 01.11.2017 - 31.10.2019, Funded by BMWi
Augmented Reality-based assistance system for the maintenance of complex heating, air conditioning and cooling technology
In the course of the stable development of the German construction industry, the heating, ventilation and air conditioning industry is experiencing steady growth in employment. In addition to a growing shortage of skilled workers, the increasing networking of the working world creates new challenges for technical staff. As a result, all employees involved in a work process have to be provided with all the information in real time that is needed to complete a work task. The aim of the KlimAR assistance system is to support the service technicians in the workflow during the maintenance of complex heating, ventilation and air conditioning systems. Through the use of data glasses, the preparation and provision of technical documentation in the work process, orientation and work support with the help of virtual additional information as well as an adaptation of the used documents by means of interaction with the displayed content will be made possible. This is intended primarily to reduce search efforts in the maintenance process and to support documentation tasks.
01.10.2017 - 30.09.2019,
Funded by BMWi
Development of a fully automatic fermenter with automatic determination of the fermentation state
In industrial bakery production, a lot of time is spent on determining the optimum fermentation state by baking experts. Achieving the optimal fermentation state purely on the fermentation time and ensuring compliance with the machine-side fermentation and cooling parameters is thus impossible in both branch operation and in industrial operation according to current state of development. The project develops a novel fermentation system (fully automatic proofer) with integrated measuring technology and a special software solution, that detects the current maturity automatically and reproducibly without having to interrupt the fermentation process. The system should be cost-effective, adaptable (large product range) and easy to use. Additionally, the system should be able to specify process leveling.
Duration 01.10.2017 - 30.09.2019, Funded by BMWi
Unified Predictive Maintenance System
UPTIME aims to design a unified predictive maintenance framework and an associated unified information system in order to enable the predictive maintenance strategy implementation in manufacturing industries. As products become more complex due to evolution of technology, high quality and reliability have become issues of high significance. To reach the required levels of availability, maintainability, quality and safety of production machinery, while considering the system as a whole, and throughout the entire production lifecycle, manufacturing companies are increasingly considering turning to predictive maintenance, by utilising the capabilities of condition monitoring.
The UPTIME predictive maintenance system will incorporate information from heterogeneous data sources, e.g. sensors, to more accurately estimate the process performances. Therefore, UPTIME will extend and unify the new digital, e-maintenance services and tools in order to exploit the full potential of predictive maintenance management, sensor-generated big data processing, e-maintenance support, proactive computing and the four levels of data analytics maturity (Monitor, Diagnose and Control, Manage and Optimize). The UPTIME system will be deployed and validated through implementation in three business cases: white goods home appliances – dryer drum, steel industry – cold rolling machine and construction of production systems – transportation jigs.
Duration 01.09.2017 - 31.08.2020, Funded by H2020
Interactive robotic system for unloading of sea containers
The unloading of containers is one of the last non-automated activities in a highly-engineered transport chain. A significant proportion of imported and exported containers are emptied or loaded in seaports. Existing automatic and semi-automatic systems do not meet the requirements of port operators due to high investment costs, high commissioning times and adaptations to the infrastructure and have a very low degree of dissemination. The objective of the IRiS project is the development of a new, mobile robot for improving the efficiency of transhipment processes at seaports. The robot should be able to be deployed in a very short time without any major adjustments to the existing operational infrastructure. In order to be able to meet disturbing situations as quickly and effortlessly as possible, an intuitive human-robot interaction interface is developed.
01.09.2017 - 30.08.2020,
Funded by BMVI
Autonomes Rangieren auf der Hafenbahn
Das Projekt Rang-E ist eine Durchführbarkeitsstudie zur Beurteilung der Machbarkeit von autonomen Rangiervorgängen am Beispiel der Hafenbahn Bremerhaven. Es werden technische, ökonomische und rechtliche Aspekte beleuchtet. Das autonome Rangieren ermöglicht die optimierte Disposition und Einsatzsteuerung von Rangierloks im Hafen – sowohl beim Containerumschlag als auch im Automobilumschlag. Die Terminals in Bremerhaven bieten dabei eine ausgezeichnete Plattform, da Bremerhaven einen hohen Bahn-Anteil im Hinterlandverkehr aufweist. Es werden verschiedene Automatisierungsstufen bis hin zur vollständigen Autonomie und Selbststeuerung von Rangierloks beleuchtet. Rang-E bezieht erweitert auch die Kompetenz deutscher Hafenunternehmen bzgl. aktueller Strategien zur Digitalisierung der deutschen Wirtschaft wie Internet of Things (IoT) und Logistik 4.0.
Duration 01.08.2017 - 31.07.2019, Funded by BMVI
Automobile logistics in sea- and inland ports: interactive and simulation-based operation planning, dynamic and context-based control of device- and load movements
The project Isabella aims at the development of an interactive planning and control system for adaptive logistics processes on sea and inland ports. After development, the planning and control system will be implemented for pilot testing on the vehicle port of the BLG in Bremerhaven.
A simulation-based planning tool will be developed to enable short-term planning adjustments due to occurring change demands and to validate possible planning alternatives. The planning tool is supposed to work on a visual and thus most intuitive basis. A multi-touch table will be used for the visualization of the current planning situation and the definition of planning alternatives. The evaluation of these alternatives is supposed to happen simulation-based. The simulation will evaluate all alternatives based on a multi-criteria target system.
A control algorithm will be developed for the management of vehicle movements on the vehicle port. The control system should assign tasks based on the current order situation and the location of the vehicles. By doing so, not only a given order sequence and thus due date reliability can be pursued, but also route optimization and elimination or minimization of empty runs.
For the realization of adaptive logistics processes, a tracking and tracing system needs to be designed that generates real time data of the location of the vehicles. A special requirement is the urgent need for a high spatial accuracy that can locate objects within an area of adequate size, preferably on parking lot exactness. Therefore, it will be investigated, if different tracking and tracing methods such as differential-GPS (DGPS) and WLAN-Fingerprinting are adequate for usage in vehicle compound applications.
The envisioned planning and control system will be developed in cooperation with the project partners BLG and 28Apps. The project is funded by the German Federal Ministry of Transport and Digital Infrastructure (BMVI) as part of the program for innovative port technologies (IHATEC).
01.07.2017 - 30.06.2020,
Funded by BMVI
Augmented Reality-based assistance system for commercial vehicles to raise the safety level
The goal of the safeguARd project is the development of an assistance system for commercial vehicles, which recognizes the occurrence of hazardous situations at an early stage, draws the operator's attention to the dangerous situations and, in the last resort, actively transmits control commands to the machine operator, for example, to initiate an emergency stop. In the context of the project, the safeguARd system is initially developed and evaluated on the example of mobile cranes. This is due to a modular and flexible design so that the transmission of the system to other construction machines as well as other commercial vehicle groups is possible without major adjustments. The project partners apply the "Design for all" concept as part of the development efforts. Thus, the system enables all users to an efficient and safe use of commercial vehicles. Particularly older employees can compensate sensomotoric restrictions and thus the safeguARd system represents an approach to adapt machine operator workplaces to the requirements of the demographic change.
01.06.2017 - 31.05.2020,
Funded by BMBF
InTeWIND - MOBISTAR / Development of a mobile and stationary wire rope monitoring system
The aim of the project is the development and testing of an automatic monitoring system for wire ropes based on an innovative and intelligent measuring method. Therefore, a mobile system will be developed, which is also designed for a permanent installation on the wire rope. Consequently, the determination of the condition from the wire rope and a permanent monitoring will be possible with the system to be developed.
01.06.2017 - 31.05.2019,
Funded by BMWi
A Holistic, Innovative Framework for Design, Development and Orchestration of 5G-ready Applications and Network Services over Sliced Programmable Infrastructure
The vision of MATILDA is to design and implement a holistic 5G end-to-end services operational framework tackling the lifecycle of design, development and orchestration of 5G-ready applications and 5G network services over programmable infrastructure, following a unified programmability model.
It aims to devise and realize a shift in the development of software for 5G-ready applications as well as virtual and physical network functions and network services, through the adoption of a unified programmability model, the definition of proper abstractions and the creation of an open development environment that may be used by application as well as network functions developers.
The developed 5G-ready application components, applications, virtual network functions and application-aware network services are made available for open-source or commercial purposes, re-use and extension through a 5G marketplace.
Duration 01.06.2017 - 30.11.2019, Funded by H2020
STRADegy – Automated Container handling by Using Straddle Carriers
The overall objective of the project STRADegy, which is conducted by EUROGATE and BIBA, is to increase the productivity and flexibility in container handling as well as to reduce the environmental impact and to increase the security of German seaports. Within the project, automated straddle carriers are evaluated in a field test in Europe for the first time. A straddle carrier is a highly flexible freight-carrying vehicle used for stacking and moving standard containers in container terminals. To achieve the research objectives, different concepts are evaluated to ensure a high productivity of the automated system. The developed concepts should also be applicable to a broad range of container terminals. For this purpose, standard interfaces have to be developed to link IT systems from different manufacturers, such as terminal operating systems (TOS), which control the handling processes in terminals. It is also important to ensure that straddle carriers from different providers can be integrated. In this context, BIBA contributes to the design of the pilot experiments and ensures that innovative research approaches are considered throughout all phases of the project. Furthermore, guidelines are prepared that will help to automate mega container terminals in the future. The flagship project STRADegy receives funding from the Federal Ministry of Transport and Digital Infrastructure (BMVI) as part of the program for innovative harbor technologies (IHATEC).
01.03.2017 - 29.02.2020,
Funded by BMVI
Digital Services for Shaping Agile Supply Chains
The main objective of SaSCh is a continuous cross-company end-to-end logistic quality monitoring of components and products during their life cycle, especially the supply chains. The project is focusing on selected supply chain processes. Using stationary and mobile sensors or cameras for collection and digitization of quality-relevant environmental data and geolocation. Generated data is stored decentral at each company and provided to relevant partners. Data is exchanged based on the EPCIS standard, being developed further on to realize an exchange of sensor and quality data. Different digital services could use the provided data to improve product and process quality in supply chains.
For the automotive industry, new digital services can be implemented to extend the geographical limits of JIT- and JIS-concepts and to prevent special transports, rework, production stops or recalls. Additionally, more transparency enable a better bottleneck management and the entire system will include the developed opportunities.
The German Federal Ministry for Economic Affairs and Energy (BMWi) is funding this work as part of the technology programme “PAiCE” (Platforms, Additive Manufacturing, Imaging, Communication, Engineering).
01.11.2016 - 31.10.2019,
Funded by BMWi
Lean innovative connected vessels
The LINCOLN project aims to propose added-value
specialized vessels able to run requested services for Marine Aquaculture, Ocean Energy, Coastal Monitoring,
Control and Surveillance, and Rescue sectors in the most effective, efficient, economic valuable and ecofriendly
way. These design and development projects will use an innovative fact based design model
approach, which combines real operative data at sea with lean methodology, in order to support the
appropriate development and implementation of the new vessel concepts, enhance the competitiveness of the
EU shipping sector and maximise opportunities for innovation in the European shipbuilding and
maritime equipment industry. Finally, LINCOLN will use ad hoc IT tools, customized for the Maritime
environment, to support the Lean Fact Based Design enabling the acquisition and the usage of field data,
coming from an IoT (Internet of Thing) platform and High Performance Computing- HPC- Simulation.
Duration 01.10.2016 - 30.09.2019, Funded by H2020
Integrated control for the energy self-sufficient operation of large-scale infrastructure based on environmental data
The project Geregelt aims at developing a novel integrated control system for energy and building technology of large-scale infrastructures. By the energetic optimization of the entire energy system under consideration of environmental data and energy storage technology, a significant reduction of total energy consumption can be reached. The linkage and control of internal energy sources, storages and loads can contribute to the smoothing of energy consumption and therefore increase energy self-sufficiency of large-scale infrastructures.
01.06.2016 - 30.11.2018,
Funded by BMBF
Development and integration of RFID transponders to monitor curing during the manufacturing process and for product life cycle management of fibre composite components
In the production of fibre composite components, it is still a problem to monitor the curing process reliable. In this project a Curing Transponder will be developed, which uses RFID technology to detect the curing degree of fibre composite components within an autoclave. The project focuses on glass and carbon fibre components. The transponder can store detailed data about the component state and send this data to a knowledge-based expert system. That system will collect further data such as location, temperature, RFID signals and manufacturing constraints of various components and will find patterns in this data. Thus, it will be enabled to control the production steps more efficiently. The BIBA institute assumes the data analysis and the development of algorithms which are necessary to interpret the RFID signals to determine the degree of cure of the fibre composite components. The project is performed in cooperation with the Bremen Fibre Institute (FIBRE) and the companies tagItron (Salzkotten) and Haindl Kunststoffverarbeitung (Bremen).
01.03.2016 - 28.02.2019,
Funded by BMWi
„Mit uns digital!“ Mittelstand 4.0 – Kompetenzzentrum, Hannover
Within the „Mit uns digital!“ Mittelstand 4.0-Kompetenzzentrum, Hannover, the BIBA – Bremer Institut für Produktion und Logistik at the University of Bremen - establishes its "factory of expertise" on Autonomous Control in Production und Logistics, which will offer free services to small and medium sized enterprises (SME) coping with digital logistics and Industrie 4.0.
Services offered by the BIBA "factory of expertise" will include demonstration of own activities related to "Industrie 4.0" and digital logistics, instruction and training courses for SME employees as well as dialogue workshops with SME.
The training and instruction courses aim to qualify SME employees to gain expertise in digital logistics. Three main topics will be covered: 1) mobile technologies and smart products 2) efficient planning and control of logistic processes und technical systems 3) adaptive systems for a changing environment.
Course contents will be certified.
The dialogue workshops aim at identifying potential applications of digital logistics within SME and specifying projects to implement them.
Duration 01.01.2016 - 31.12.2018, Funded by BMWi
Building an IoT OPen innovation Ecosystem for connected smart objects
The Internet of Things (IoT) brings opportunities to create new services and products, reducing costs for societies, and changing how services are sold and consumed. Despite this, one of the most critical obstacles are the "vertical silos" that shape today’s IoT. Indeed, vertical silos constitute a serious impediment to the creation of cross-domain, cross-platform and cross- organisational services due to the lack of interoperability and openness.
The upcoming H2020 bIoTope project (grant agreement n° 688203), standing for Building an IoT OPen innovation Ecosystem for connected smart objects, aims to lay the foundation for open innovation ecosystems, where companies can – with minimal investment – innovate by creating new Systems-of- Systems (SoS) platforms for connected smart objects.
01.01.2016 - 31.12.2018,
Funded by H2020
Anpassbare Interaktion mit materialwissenschaftlichen Forschungsdaten
Um die Persistenz, Wiederverwertbarkeit und Nachhaltigkeit experimenteller Forschungsdaten zu verbessern, wurden digitale Infrastrukturen zur Erfassung, Ablage und Dissemination geschaffen (InfoSys, Radischen, etc.).
Wie in vielen Bereichen fallen in den Werkstoffwissenschaften große Mengen an Forschungsdaten durch Versuche an. Diese wurden bisher in dezentralen Insellösungen mit geringer Standardisierung abgelegt. Im Rahmen des Vorgängerprojekts InfoSys wurde eine zentrale Infrastruktur geschaffen, mit der 90 % der anfallenden Forschungsdaten inklusive Meta-Daten für metallische Werkstoffe strukturiert abgelegt werden. Das entwickelte System ist inzwischen im täglichen Einsatz und setzt auf nutzer- und umgebungsspezifische Eingabemöglichkeiten (z. B. Tablets) um die Nutzbarkeit, Effizienz und gleichzeitig die Akzeptanz des Systems vor Ort zu erhöhen. Im Rahmen dieses Folgeprojekts soll das bestehende System als Beispiel einer digitalen Infrastruktur für Forschungsdaten, für deren Nutzung zur Recherche, Data Mining und Dissemination der experimentellen Daten angepasst, erweitert und optimiert werden.
Hierbei steht nicht mehr die leichte, angepasste und benutzerfreundliche Eingabe der Daten, sondern deren spätere Verwertung durch Dritte im Vordergrund. Die zu erarbeitenden Erweiterungen sollen allerdings nicht nur auf das Pilotprojekt anwendbar sein, sondern eine breitere Anwendung erlauben und fördern. Hierfür soll das InfoSys-System um weitere Funktionen erweitert werden. Dabei liegt ein besonderer Fokus auf einer hochentwickelten Suchfunktion und Auswertungstools, die auf Data Mining und semantischer Verknüpfung basieren. Damit kann zukünftig das Potential der nun zentral und strukturiert vorliegenden Daten effizienter ausgeschöpft werden.
Gleichzeitig werden weitere Maßnahmen im Bereich Qualitätssicherung von Forschungsdaten entwickelt und implementiert. Dies ist speziell vor dem Hintergrund der Referenzierung durch Digital Object Identifier (DOI) essentiell. Die Qualitätssicherungsmaßnahmen haben teilweise Überschneidungen mit den vorher genannten Auswertungstools, wie bspw. automatische Plausibilitätschecks.
Zusätzlich sollen innovative Methoden entwickelt werden, die es den Nutzern erlauben, die Qualität von Forschungsdaten einfacher zu bewerten. Um hinreichende Komplexität und Übertragbarkeit zu gewährleisten, sollen auch materialwissenschaftliche Daten der Stoffklasse der faserverstärkten Kunststoffe (FVK) mit allen spezifischen Eigenheiten hinsichtlich Metadaten und Versuchsabläufen hinzugefügt werden.
Duration 01.01.2016 - 31.12.2019, Funded by DFG
breaking educational barriers with contextualised pervasive and gameful learning
BEACONING stands for Breaking Educational Barriers with Contextualised, Pervasive and Gameful Learning and will focus on ‘anytime anywhere’ learning by exploiting pervasive, context-aware and gamified techniques and technologies, framed under the Problem-Based Learning approach. For this the project will
- Integrate technologies, pedagogical and social perspectives using pervasive, context-aware and gamified approaches ensuring that the BEACONING platform is innovative while also extending our scientific understanding and practice-based experiments of engaging a community of learners including those with disabilities with a more inclusive, connected and contextualised learning process.
2.Develop, implement and validate the BEACONING platform that: leverages cutting-edge approaches including the Future Internet technology, mobile, gamification, pervasive gaming, procedural game content generation, game authoring, human-computer interfaces, learning analytics and problem-based learning model; is usable, adaptable, extendable and sustainable.
3.Explore and measure the level of engagement, effectiveness and Impact that is enabled by the BEACONING platform towards incentivising learners and fostering acquisition and transfer of knowledge and skills, validate this through large scale pilots involving a community of stakeholders and practitioners in Europe, and provide an exploitation and business plan for the platform adoption.
Duration 01.01.2016 - 31.12.2018, Funded by H2020
Process Innovation through Digital Services for the Seaport of the Future
The project ProDiS provides a significant contribution to increasing innovation of German small and medium sized enterprises in the field of sea port industry with a focus on offshore wind energy logistics and the handling of containers. For this purpose, a concept for the development of product-service systems for companies in the port logistics is developed and tested in the operational environment. The aim of ProDiS is the development and testing of scalable and modularized company-wide digital services to the port of the future.
Towards the end of the project, the possibilities for the development and provision of services are identified and tested for their efficacy on the basis of three selected demonstrators. It is an information service (eg binding weather data), a planning service (eg integrated planning for all organizations involved in availability issues on a project), and a service as part of the operation (eg flow control to optimize turnaround times).
The project has a duration of three years and six months (11/2015 - 04/2019) and is founded by the German Federal Ministry of Education and Research (BMBF) with the reference number 01FJ15081.
01.11.2015 - 30.04.2019,
Funded by BMBF
AI supported platform for the assistance of production control for improving energy efficiency
Current energy management systems are only able to capture the energy data and determine key indicators. Methods of artificial intelligence offer the potential to analyze this enhanced knowledge to support the decision-making process for the selection of process parameters for an energy-efficient production. This approach could increase the transparency of the use of energy by giving automated suggestions which allow to lower the primary energy demand.The KIPro research project examines the possibilities of improving energy efficiency in industrial plants with strongly varying properties of the input materials. The aim is to reduce energy demand through the use of methods of artificial intelligence, such as artificial neural networks in combination with deep learning, architectures, semantic mediators and expert systems, without compromising product quality. These systems analyses large amounts of data and identify specific patterns and rules, training and improving their own knowledge base in order to offer specific proposals for an energy-optimized process.
01.09.2015 - 31.08.2019,
Funded by BMWi
Media applications in welding training
The project “MESA – Media Applications in Welding Training” focuses on the application of digital media for training purposes within the welding sector. As a new key development in the welding sector, welding trainer simulators are expected to greatly improve the learning process. Towards this goal, MESA strives to integrate digital media in basic and advanced training situations in regard of industrial and didactic requirements. The project deeply analyses all welding trainer simulators that are present on the German market. MESA examines the content of industry-wide training as well as possible adaptions towards specific training requirements of individual corporations.
Partners in MESA are the Institut Technik und Bildung of the University of Bremen, the Gesellschaft für Schweißtechnik International mbH, Bildungszentren Rhein-Ruhr, and C+P Bildung GmbH. Further associated partners are DVS - Deutscher Verband für Schweißen und verwandte Verfahren e.V., DVS Media GmbH, Volkswagen AG, Alexander Binzel Schweisstechnik GmbH & Co. KG, and Schweißtechnische Lehr- und Versuchsanstalt Nord gGmbH
01.08.2015 - 31.07.2018,
Funded by BMBF
SFB747 - B5
Qualitätsprüfung und logistische Qualitätslenkung mikrotechnischer Fertigungsprozesse
Subproject B5 - Safe Processes
In the 3rd phase of funding, the Project B5 aims at realization of a method for an automated quality inspection of cold formed micro parts. This method has to be integrated on the existing demonstrator platform. The result will be a fast and calibrated 3D-metrology system that can automatically measure deviations of object geometries in a measurement volume of about 1 mm3. Thereby in addition to deviations from the object geometry, undesired surface imperfections can be detected, which may be within the tolerances but still weaken the structure of the thin-walled components. Thus, the fast acquisition of the micro parts surface turns from a random sample inspection, being developed throughout the 2nd phase, into a 100% inspection.
01.01.2007 - 31.12.2018,
Funded by DFG Sonderforschungsbereich
SFB747 - C4
A Simultaneous Engineering methodology for micro cold forming processes
Subproject C4 - Simultaneous Engineering
The manufacturing of micro components is characterized by a complex interplay of material, process and control parameters. Slight changes to single operations can have a drastic impact on the manufacturing costs and qualities of the overall process chain. Consequently, the subproject C4 is developing a method for the planning and configuration of micro process chains, that enables an integrated process and production planning by the use of so called cause-effect networks. The continuation of the project focusses on the development of methods for (semi-)automatic generation of process chains based on workpiece features.
01.01.2007 - 31.12.2018,
Funded by DFG Sonderforschungsbereich