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

DIH4CPS

Fostering DIHs for Embedding Interoperability in CyberPhysical Systems of European SMEs

Show project description Hide project description

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

Duration 01.01.2020 - 31.12.2022, Funded by H2020

Contact person

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

RAINBOW

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

Show project description Hide project description

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

Duration 01.01.2020 - 31.12.2022, Funded by H2020

Contact person

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

MetaMaintain

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

Show project description Hide project description

Duration 01.01.2020 - 31.12.2021, Funded by DFG
Download PDF-Flyer

Contact person

Manufaktur 4.0

Quality-oriented production control and optimization in food production

Show project description Hide project description

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

Duration 01.01.2020 - 31.12.2021, Funded by PFAU

Contact person

Projektlogo Simulationsbasiertes Training zur Unfallvermeidung in der Automobilindustrie

VR-SUSTAIN

Simulation-based training for accident prevention in the automotive industry

Show project description Hide project description

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

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

Duration 01.01.2020 - 31.12.2020, Funded by EIT Manufacturing

Contact person

Projektlogo Entwicklung eines selbstlernenden eKanban-Systems unter Verwendung autonomer Sensormodule

X-Kanban

Development of a self-learning eKanban-System using autonomous sensor modules

Show project description Hide project description

Within the scope of this research project, an eKanban system will be developed which implements the advantages of modern, intelligent industry 4.0 solutions and at the same time remains economical for companies in terms of integration and ongoing operation. These include low-cost, autonomous sensor modules that are easy to install and have low power consumption to enable complete inventory monitoring. The eKanban system itself is linked via a cloud to machine learning processes, which enable continuous learning of material demand behaviour and thus continuous optimisation of material provision in terms of replenishment time.

Duration 01.09.2019 - 31.08.2021, Funded by BMWi

Contact person

Projektlogo Gamifiziertes KI-Assistenzsystem zur Unterstützung des manuellen Montageprozesses
Project website

AxIoM

Gamified AI Assistance System for Support of Manual Assembly Processes

Show project description Hide project description

In this research project, a novel assistance system for manual assembly stations based on artificial intelligence will be developed. On the one hand, the system monitors the assembly process and verifies the quality of the completed product, and, on the other hand, it considers and individually supports the employee when working at the manual workstation. The system will analyse the sensory information collected at the assembly station using image processing and machine learning methods with regard to the ergonomic and production-related work situation of the employee. This enables the newly developed assistance system to adapt to the individual needs of the employee in order to improve his work situation through specific support as well as motivation and training strategies. Furthermore, by monitoring both progress and assembly components, the system will increase the efficiency and quality of the manual assembly process.

Duration 01.06.2019 - 30.11.2020, Funded by EFRE: Europäischer Fonds für regionale Entwicklung
Download PDF-Flyer

Contact person

OffshorePlan

Complementary application of mathematical and discrete-event models to solve complex planning and control problems in offshore construction logistics

Show project description Hide project description

Offshore construction logistics pose an exceptionally challenging problem in terms of planning and control. Generally, one can differentiate two approaches: event-discrete simulations as well as mathematical or stochastic optimizations. By themselves, both methods provide their own advantages and disadvantages in terms of computational time, level of detail und optimality.

This project aims to investigate new ways for the complementary utilization of both types of methods in the context of offshore construction logistics. Under the basic assumption that despite formal differences, both types of models describe the same elements of the real world system, this project aims to develop a method to convert in between or to generate each kind of model with its own level of aggregation/abstraction based on a more basic description of the real world system. Consequently, the advantage of both types of models can be used complementary within computer aided planning and control methods.

Duration 01.04.2019 - 30.09.2021, Funded by DFG
Download PDF-Flyer

Contact person

LNG Armaturen Set

Development of a sensitive valve set for high-volume ship to ship LNG transfer

Show project description Hide project description

The project aims at the development of a system which can be used on a large number of different ship types and thus leads to a significantly higher level of safety, installability and maintainability while at the same time reducing costs. The task of BIBA is to develop an Augmented Reality (AR) solution that can be used for maintenance and service purposes alongside the valve set.

By means of a combination of a commercial data goggle, a camera and an embedded PC, an easily configurable application solution is created. This solution should be able to identify the existing components, to read out the corresponding status information both visually and via radio, and to supply the users with maintenance information and checklists.

The AR solution will be developed to support technicians in operation, installation and maintenance of the sensitive LNG valve set. By means of image processing and object recognition techniques, the first step is to collect information on the condition of the valves. Subsequently, an AR-User Interface will be developed, which acts as an assistance system for the users.

Duration 01.03.2019 - 28.02.2021, Funded by BMWi
Download PDF-Flyer

Contact person

LNG Safety

Safety process system for cryogenic fluid transfer

Show project description Hide project description

The handling of cryogenic fluids (e.g. liquefied natural gas) bears major risks with regard to operational safety. If the liquid leaks during a transfer process (e.g. fueling of ships), large amounts of gas can quickly be produced which are highly flammable and explosive. Therefore, an appropriate safety system for process monitoring is necessary.

The aim of the project is to improve operational safety during the LNG transfer process by means of a redundant optical monitoring system. This system should be able to both detect fittings, ship superstructures, and people automatically and to perform an automated visual inspection of the correct coupling.

The multi-camera system consists of a wide-angle, a zoom and an infrared camera and can therefore react to a wide variety of environmental conditions (day, night, weather influences). It automatically monitors the LNG transfer process. By using Deep Machine Learning, the object recognition of fittings, ship superstructures and people is made possible, which is necessary for monitoring the danger zone.

Duration 01.03.2019 - 28.02.2021, Funded by BMWi
Download PDF-Flyer

Contact person

Projektlogo Individual Predictive Maintenance

IPM

Individual Predictive Maintenance

Show project description Hide project description

Ziel des Projektes ist die Entwicklung einer Toolbox zur Überwachung von Sensordaten für eine individuelle prädiktive Instandhaltung von Dieselmotoren für Schienenfahrzeuge.

Motivation:

Derzeit werden Instandhaltungsmaßnahmen reaktiv oder in periodischen Intervallen präventiv durchgeführt. Dieses Vorgehen ist jedoch mit hohen Kosten verbunden, da im Schadensfall meist Folgeschäden auftreten. Zudem führen die ausgefallenen Züge nicht nur zu Verspätungen der darin transportierten Personen und Güter, sondern blockieren auch die Bahnstrecke für weitere Transporte und die damit zusammenhängende Logistikkette. Allerdings ergeben sich durch das vorsorgliche Austauschen der Komponenten relativ hohe Instandhaltungskosten, da diese noch für einen längeren Zeitraum hätten genutzt werden können.

Methodik:

Durch eine Instandhaltung im Bedarfsfall (kurz vor Störereignis) können die Instandhaltungskosten minimiert werden, ohne das Risiko eines Zugausfalls signifikant zu erhöhen. Unter Anwendung künstlicher Intelligenz sollen frühzeitig auszutauschende Motorkomponenten identifiziert und damit eine ressourceneffiziente Instandhaltungsplanung ermöglicht werden.

Duration 01.02.2019 - 31.07.2020, Funded by EFRE: Europäischer Fonds für regionale Entwicklung
Download PDF-Flyer

Contact person

Projektlogo EIT Manufacturing
Project website

EIT Manufacturing

EIT Manufacturing

Show project description Hide project description

The manufacturing industry is facing major challenges due to increasing global competition, low-cost production in developing countries and scarce raw materials. EIT Manufacturing is an initiative of the European Institute of Innovation and Technology (EIT), in which BIBA is one of 50 core partners.

EIT Manufacturing’s mission is to bring European manufacturing actors together in innovation ecosystems that add unique value to European products, processes, services – and inspire the creation of globally competitive and sustainable manufacturing. To do so, the initiative has six strategic objectives:

     

  1. Excellent manufacturing skills and talents: adding value through an upskilled workforce and engaged students.
  2. Efficient manufacturing innovation ecosystems: adding value through creating ecosystems for innovation, entrepreneurship and business transformation focused on innovation hotspots.
  3. Full digitalization of manufacturing: adding value through digital solutions and platforms that connect value networks globally.
  4. Customer-driven manufacturing: adding value through agile and flexible manufacturing that meets global personalized demand.
  5. Socially sustainable manufacturing: adding value through safe, healthy, ethical and socially sustainable production and products.
  6. Environmentally sustainable manufacturing: adding value by making industry greener and cleaner.

    EIT Manufacturing aims for the following goals by 2030:

    • Create and support 1000 start-ups

    • 60% of manufacturing companies adopt sustainable production practices

    • EUR 325 million investment attracted by EIT Ventures

    • 50 000 people trained and up- or re- skilled

    • Create 360 new solutions

    • 30% of material use is circular

  7.  

Duration 01.01.2019 - 01.01.2026, Funded by European Institute of Innovation & Technology (E

Contact person

Projektlogo Dynamic Production Network Broker
Project website

DPNB

Dynamic Production Network Broker

Show project description Hide project description

Motivation

Fully dynamic cross-company production networks that adapt to individual customer orders are a core vision in the Industry 4.0 sector. Production capacities are sometimes required at very short notice, e.g. in the area of drawing and special parts. Reasons are the failure of company owned machines or machines of a supplier, the complete failure of a supplier or also a sudden increase on the demand side. In these cases, however, there are barriers to a rapid response, such as finding one or more suppliers with free capacities or the high manual effort required to integrate new suppliers into existing ordering and logistics processes.

Goal

The "Dynamic Production Network Broker" is intended to support the dynamic formation of production networks by means of a modular service system. This includes the matching of supply and demand for short-term availability of production capacities while at the same time ensuring the necessary transport capacities, the short-term onboarding of suppliers, i.e. rapid integration production, logistics and quality assurance and the possibility of making complex assembly activities compatible for outsourcing. The latter should be achieved by means of an assistance system that is based on Augmented Reality (AR) technologies.

BIBA will contribute to the project by developing an ontological description of machine capabilities and requirements, including a semantic mediator with the necessary interfaces to other information systems. Moreover, we will develop a concept for generic service-based business models and their evaluation on the basis of the project results.

Procedure

Together with the industrial partners, the crucial points for designing a production network broker are worked out and on this basis four use cases are defined. For these four use cases, "Minimal Viable Products", i.e. prototypical solutions that can be implemented quickly, are developed in individual modules and later integrated into a continuous process.

Duration 01.01.2019 - 31.12.2021, Funded by BMBF / PTKA
Download PDF-Flyer

Contact person

SmartSense

Smart Sensor Platform for Autonomous Rope-Force measurement in Safety-Critical and Harsh Environments

Show project description Hide project description

As part of the new BIBA-project SmartSens, an autonomous sensor solution is to be developed that can also be used in harsh environments and meets the highest reliability requirements. The measurement of the rope forces on a tow rope during the winch launch of gliders was identified as an application field for the implementation of the sensor solution. The platform determines the occurring rope pull forces according to the situation and transmits them to a ground station, which is operated by a winch driver and visualizes the current forces. This controls the rotational speed of the winch according to the tensile forces on the rope. Incorrect operation can result in considerable material damage and possibly even personal injury. The implementation of an autonomous, inexpensive communication and computer unit with a minimum form factor and the highest degree of reliability opens up many other innovative applications in aviation (e.g. in production and maintenance).

Duration 01.11.2018 - 31.10.2020, Funded by BAB

Contact person

Projektlogo Intelligente Informationstechnologien für Prozessoptimierung und -automatisierung im Binnenhafen

Binntelligent

Intelligent Information Technologies for Process Optimization and Automation in Inland Ports

Show project description Hide project description

In Binntelligent, digital services as well as intelligent processes, procedures and information technologies for the optimization of trimodal logistics and transhipment processes in inland ports and the improved collaboration between inland and seaports are designed, implemented and evaluated in the field of application. It creates a cross-company visibility and transparency of decision-relevant information that allows predicting events in the supply chain.

For this purpose, an information system for (semi-) automated information distribution, operative process support and predictions will be developed. In addition to event predictions, forecasting capability in inland ports is achieved by simulation-based optimization of trimodal transhipment, which processes real-time real data and enables adaptability in synchro-modal freight traffic. Binntelligent considers logistics processes for containers and bulk goods in inland ports as well as the pre- and post-carriages. The planned technologies are designed for use in the Weser and Mittelland Canal shipping areas with the ports of Hanover, Braunschweig, Bremen and Bremerhaven and will subsequently be implemented for application-oriented testing and evaluation.

Duration 01.10.2018 - 30.09.2021, Funded by BMVI

Contact person

Projektlogo Autonomes Assistenzsystem zur Unterstützung  von MRK-Montageprozessen
Project website

AutARK

Autonomous assistance system to support HRC assembly processes

Show project description Hide project description

The central goal of the project is the development of an autonomous assistance system close to the body for human-robot collaboration in assembly, which is particularly characterized by system neutrality. The aim is to enable MRK-capable assembly processes within various applications in medium-sized companies. Exemplary, the potential of this new type of Assistance systems in terms of flexibility, cognitive relief, ergonomics and safety is being tested and evaluated in application cases. On the one hand, the assembly of transformers during the production process is being considered and on the other hand the welding of mechanical components is being focused in the welder training.

The overall objective of the subproject of BIBA - Bremer Institut für Produktion und Logistik GmbH includes the development of an autonomous sensor system close to the body as well as a sensor system close to the robot or machine, which will be fused in a sensor framework and thus enable human-robot collaboration in assembly. Furthermore, a procedure/method for the design of MRK systems is to be developed.

Duration 01.10.2018 - 30.09.2020, Funded by BMWi

Contact person

Projektlogo DigiLab4U: Open Digital Lab 4 You (Serious Gaming in laboratory-based teaching)

DigiLab4U

DigiLab4U: Open Digital Lab 4 You (Serious Gaming in laboratory-based teaching)

Show project description Hide project description

Real laboratory infrastructures are personnel and cost-intensive and are generally only available to the respective research institution. In contrast, purely virtual laboratories offer advantages in terms of security, scalability, remote access and cost efficiency. However, simulations and purely virtual environments cannot replace the success of real laboratory environments, as these require and promote different knowledge.

In the research project Open Digital Lab for You (DigiLab4U for short), real laboratories are digitised, linked with virtual components and the synergies between the two approaches are explored. Augmented Reality can help to close the gap between the "virtual" and "real" experience. Methods of engineering education and serious gaming are combined using learning analytics, mixed/ augmented reality and open badges to form a unique holistic approach in a hybrid learning and research environment.

DigiLab4U provides location-independent access to a digitised and networked learning and research environment. Multi-user scenarios as well as individual self-directed learning will be supported. For example, students of the HFT Stuttgart can access laboratories at the BIBA and the University of Parma. The exchange of experiences in research and teaching is promoted beyond the boundaries of individual institutes. As the long title Open Digital Lab for Yousuggests, the inclusion of further laboratories is planned. There is a considerable need for research on this forward-looking approach from a technical, didactic and organisational point of view.

Duration 01.10.2018 - 31.03.2022, Funded by BMBF

Contact person

Projektlogo Intelligente Pumpwerk- und Schleusensteuerung

Tide2Use

Intelligent pumping and lock control

Show project description Hide project description

Sufficient water levels in harbor areas (dock harbors) are of great importance for the efficiency of ports. In many cases, such water levels can only be ensured by the energy-intensive use of pumping stations. An intelligent, integrated network and control of the lock and the associated pumping stations enable an increase in energy-efficiency and easier integration of renewable energies in the port operations to ensure the smooth envelope of goods in tide-free port facilities.

Water levels in dock harbors must be kept at a nearly constant level. For this purpose, the water demand of the locks and other water losses are compensated by the water supply of pumping stations and other water inputs. Due to the number of ships in the lock or a large number of associated and external parameters, a complex control problem arises. This is further complicated by the fact that many of the parameters depend on temporal influencing factors. In the research project, Tide2Use uses initially existing information sources are to be brought together and visualized.

On this basis, it should be automatically recognized whether a water level increase in the harbor basin makes sense. Data from the Automatic Identification System (AIS) as well as data from the National Single Window (NSW), level readings and weather data are to be considered. It is intended to design and develop an adaptive system that can determine regularities in traffic - in particular, small-scale shipping - from AIS tracks and to take them into account in planning.

The aim is to create an assistance system that supports the lock operator. It is intended to recommend a time period to the navigator and lock operator, where the lock gate can be used for natural irrigation of the port without affecting shipping traffic and taking all risks into account. With intelligent and continuous networking of shipping traffic, the lock operation and the associated pumping stations will work more efficiently.

Duration 01.10.2018 - 30.09.2021, Funded by BMVI
Download PDF-Flyer

Contact person

Projektlogo Multi-kriterielle Optimierung der Position und Konfiguration von 3D-Sensoren durch Virtual Reality für flexible Automatisierungslösungen in der Logistik

VirtuOS

Multi-Criteria Optimization of Position and Configuration of 3D Sensors through Virtual Reality for Flexible Automation Solutions in Logistics

Show project description Hide project description

The design of flexible handling robots and autonomous vehicles for logistic processes is a great challenge due to heterogeneous objects, variable environmental conditions and complex properties of the 3D sensor technology.

In the VirtuOS project, a freely available online tool is being developed with which application scenarios in virtual space can be freely configured and 3D sensor data realistically simulated. The objective of the project is the development and integration of a multicriteria optimization, which delivers application-specific optimal sensor configurations depending on different optimization criteria. SMEs such as automation companies, system integrators and suppliers of sensors and image processing solutions can thus be supported in the selection and configuration of sensors for new working stations or robots.

Duration 01.06.2018 - 31.05.2020, Funded by AiF

Contact person

Projektlogo Robuste, zuverlässige und große 12+MW Offshore Windenergieanlage der nächsten Generation für saubere, günstige und wettbewerbsfähige Energie
Project website

ReaLCoE

Next Generation 12+MW Rated, Robust, Reliable and Large Offshore Wind Energy Converters for Clean, Low Cost and Competitive Electricity

Show project description Hide project description

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
Download PDF-Flyer

Contact person

RETROFIT

Recyclable insulated shipping containers for food

Show project description Hide project description

Direct selling offers many small and medium-sized companies a good opportunity to deliver high-quality food products directly to the customer by means of refrigerated mailing. Thereby, the use of EPS packaging such as e.g. Styrofoam© has a strong negative impact on the life cycle assessment of the individual products, leaving a lot of waste for the customer. The aim of this feasibility study is the development of an insulated container made of renewable raw materials, which is recyclable and thus represents a new product for the bio-economy.

Duration 01.04.2018 - 31.03.2020, Funded by BMBF
Download PDF-Flyer

Contact person

Projektlogo Robust Industriell Transformasjon

RIT

Robust Industriell Transformasjon

Show project description Hide project description

Wettbewerbsvorteile können nicht nur für Produkte mit reduzierten Kosten sowie verkürzten Design- und Produktionszyklen erzielt werden, sondern auch durch das Erschließenneuer Geschäftsmodelle, wie der Weiterentwicklung klassischer Produkte zu Produktservice-Systemen. Das vom Norwegischen Forschungsrat geförderte Projekt "Robust Industrial Transformation" (RIT) unterstützt den mittelständischen Bootsbau dabei diesen Paradigmenwechsel erfolgreich zu meistern. Im Vordergrund steht die Entwicklung eines breiten Spektrums neuer Lösungen zur Erschließung neuer Wertschöpfungspotenziale, wie bspw. die Anpassung der Prozesse in der Entwurfsphase oder die Entwicklung neuer Produktkonzepte auf Basis realer Gebrauchs-Daten? Aufbauend auf den Ansätzen zur Datenakquise und -verarbeitung aus vorangegangenen Forschungsprojekten, bereitet RIT die Daten der Bootshersteller auf, um ihn gezielt frühen Phasen der Produktentwicklung bereitzustellen. So sollen die Bootshersteller unter Anderem in die Lage versetzt werden, große Mengen an Produktdaten in Bezug auf spezifische Designanforderungen zu analysieren und diese zusammen mit anderen Daten strukturieren und visualisieren zu können.

Duration 01.03.2018 - 31.12.2021, Funded by Norwegian Research Council

Contact person

In-Control

Integrated Controlled Test Environment

Show project description Hide project description

Das Testen sicherheitsrelevanter und -kritischer Teile, sowie deren Zusammenwirken in verschiedenen Komponenten, ist ein wichtiger und notwendiger Prozess für den sicheren Betrieb im Bereich der Luftfahrt. INCONTROL betrachtet die Systeme, welche zum Testen von Teilen und Komponenten genutzt werden. Dabei wird darauf geachtet, dass die bisher aufwendigen Systeme hin zu modulare und wiederverwendbare Einheiten entwickelt werden. Durchgängig modulare Testanlagen, sowie Architekturen erlauben u. a. schnell und flexibel neue Konzepte und Technologien integriert zu testen und bewerten zu können. Dadurch lassen sich inkrementelle oder andere neue Entwicklungen schneller für das finale Produkt nachweisen und bei Verifikation fristgerecht in den finalen Entwurf zu integrieren.

Duration 01.03.2018 - 28.02.2020, Funded by BAB

Contact person

Projektlogo Agile Virtual Testing: Harmonisierung von Testumgebungen

AGILE-VT

Agile Virtual Testing: Alignment of Tesing Environments

Show project description Hide project description

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

Contact person

Projektlogo - Kompetenzzentrum Bremen
Project website

Mittelstand 4.0

- Kompetenzzentrum Bremen

Show project description Hide project description

Das Mittelstand 4.0-Kompetenzzentrum Bremen bietet u. a. kleinen und mittleren Unternehmen in der Region Bremen und umzu 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

Contact person


Project website

MARIDAL

Maritime Regional Network for Integrated Digital Working and Learning

Show project description Hide project description

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

Contact person

Projektlogo Entwicklung eines hochflexiblen Kommissioniersystems

LoRaLight

Development of a highly flexible picking system

Show project description Hide project description

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 - 30.04.2020, Funded by BMWi
Download PDF-Flyer

Contact person

Projektlogo Entwicklung eines Gärvollautomaten mit automatischer Ermittlung des Gärzustandes

F.I.T. Gaerautomat

Development of a fully automatic fermenter with automatic determination of the fermentation state

Show project description Hide project description

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 - 15.07.2021, Funded by BMWi
Download PDF-Flyer

Contact person

Projektlogo Unified Predictive Maintenance System
Project website

UPTIME

Unified Predictive Maintenance System

Show project description Hide project description

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

Contact person

Projektlogo Interaktives Robotiksystem zur Entleerung von Seecontainern
Project website

IRiS

Interactive robotic system for unloading of sea containers

Show project description Hide project description

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.

Duration 01.09.2017 - 30.08.2020, Funded by BMVI
Download PDF-Flyer

Contact person

Isabella

Automobile logistics in sea- and inland ports: interactive and simulation-based operation planning, dynamic and context-based control of device- and load movements

Show project description Hide project description

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).

Duration 01.07.2017 - 30.06.2020, Funded by BMVI
Download PDF-Flyer

Contact person

Projektlogo Nutzfahrzeug-Assistenzsystem zur Steigerung des Sicherheitsniveaus auf Basis von Augmented Reality
Project website

safeguARd

Augmented Reality-based assistance system for commercial vehicles to raise the safety level

Show project description Hide project description

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.

Duration 01.06.2017 - 31.05.2020, Funded by BMBF
Download PDF-Flyer

Contact person

Projektlogo A Holistic, Innovative Framework for Design, Development and Orchestration of 5G-ready Applications and Network Services over Sliced Programmable Infrastructure
Project website

MATILDA

A Holistic, Innovative Framework for Design, Development and Orchestration of 5G-ready Applications and Network Services over Sliced Programmable Infrastructure

Show project description Hide project description

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 - 30.04.2020, Funded by H2020

Contact person

Projektlogo Automatischer ContainerUmschlag mit Straddle Carriern
Project website

STRADegy

STRADegy – Automated Container handling by Using Straddle Carriers

Show project description Hide project description

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).

Duration 01.03.2017 - 31.12.2020, Funded by BMVI
Download PDF-Flyer

Contact person

LIP

Live Innovation Performance

Show project description Hide project description

Duration 01.05.2016 - 30.04.2020, Funded by Norwegian Research Council

Contact person

Projektlogo Ein adaptives simulationsbasiertes Optimierungsverfahren zur Planung und Steuerung dynamischer Produktionssysteme
Project website

AdaptiveSBO

An adaptive simulation-based optimisation approach for the scheduling and control of dynamic manufacturing systems

Show project description Hide project description

Motivation

The planning and control of production processes has a significant influence on the performance of a job shop manufacturing system. The job shop production is subject to dynamic influences (e.g. faults caused by machine failures or rush orders), which have to be considered for the production planning and control. Common methods are therefore normally divided into modules for calculating plans and modules for operational control. In general, optimisation only takes place at the strategic planning level, while detailed planning is carried out on the basis of simple, static dispatching rules. This allows the generation of schedules in short computation times, but generally no optimal schedules based on the current state of the production system are generated.

Results of the 1st phase

In the first phase of the Brazilian-German cooperation project, a simulation-based optimisation method for controlling dynamic job shop production has been developed. The classical approach of simulation-based optimisation was extended in such a way that the dynamics of job shop manufacturing are taken into account and the optimisation of planning decisions and control rules is always based on the current system state. The developed method was evaluated considering the job shop production of a Brazilian producer of mechanical parts.

Objectives of the 2nd phase

In the second project phase, a method for the integrated control of inventory, production and maintenance processes has to be developed in order to map the current status of a production system in more detail. This means that maintenance orders can be scheduled for the machines in addition to the existing method and the inventory stocks can be taken into account for planning and control.

Approach

Initially, methods for planning maintenance jobs (Germany) and methods for inventory control (Brazil) using up-to-date system data will be developed in parallel. Subsequently, both approaches will be combined to an integrated inventory, production and maintenance control method, which will then be evaluated in a real scenario using data from the industry partner Rudolph Usinados as well as by scenarios from the literature.

Duration 01.04.2016 - 31.12.2020, Funded by DFG
Download PDF-Flyer

Contact person

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

More events