LNG Armaturen Set
Development of a sensitive valve set for high-volume ship to ship LNG transfer
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.
01.03.2019 - 28.02.2021,
Funded by BMWi
- H. Stern (firstname.lastname@example.org)
Safety process system for cryogenic fluid transfer
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.
01.03.2019 - 28.02.2021,
Funded by BMWi
- H. Stern (email@example.com)
Individual Predictive Maintenance
Ziel des Projektes ist die Entwicklung einer Toolbox zur Überwachung von Sensordaten für eine individuelle prädiktive Instandhaltung von Dieselmotoren für Schienenfahrzeuge.
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.
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.
01.02.2019 - 31.07.2020,
Funded by BAB Bremer Aufbau-Bank GmbH
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:
- Excellent manufacturing skills and talents: adding value through an upskilled workforce and engaged students.
- Efficient manufacturing innovation ecosystems: adding value through creating ecosystems for innovation, entrepreneurship and business transformation focused on innovation hotspots.
- Full digitalization of manufacturing: adding value through digital solutions and platforms that connect value networks globally.
- Customer-driven manufacturing: adding value through agile and flexible manufacturing that meets global personalized demand.
- Socially sustainable manufacturing: adding value through safe, healthy, ethical and socially sustainable production and products.
- 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
Duration 01.01.2019 - 01.01.2026, Funded by European Institute of Innovation & Technology (E
- P. Klein (firstname.lastname@example.org)
Examining the influence of „Industry 4.0“ on Factory Layout Planning
In the context of ongoing industrial digitization, new technologies are introduced to make production processes more efficient.
However, the digital data, which are created and processed by cyber-physical systems, promise improvements as well for adjacent areas, e.g. the restructuring of factories. Thus, the trend towards "Industry 4.0" influences factory planning and requires adapted methods for this task.
In this project, the prospects of digitized factory planning are identified and examined, based on a literature study as well as an empirical investigation .
The results will provide a methodical guideline for state-of-the-art factory layout planning and identify further research areas for adaptable digital factories.
Duration 20.11.2018 - 31.10.2019, Funded by Bremer Landesprogramm
Intelligent Information Technologies for Process Optimization and Automation in Inland Ports
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
Autonomous assistance system to support HRC assembly processes
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
Smart Outdoor Lighting Concept in a Port Environment
The aim of the research project "OBELiSK - Intelligent Outdoor Lighting Concept in a Port Environment" is to derive motion patterns or motion prognoses from operational data and DGPS coordinates of the port handling equipment or via smartphones using algorithms and thus enable intelligent lighting of a terminal by dimming LEDs. In addition, it must be possible to illuminate certain areas for special events via a central control system. The consortium estimates that lighting can save around 20% of current energy consumption.
Duration 01.09.2018 - 31.08.2021, Funded by BMVI
Multi-Criteria Optimization of Position and Configuration of 3D Sensors through Virtual Reality for Flexible Automation Solutions in Logistics
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
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.
01.05.2018 - 31.10.2021,
Funded by H2020
Recyclable insulated shipping containers for food
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.
01.04.2018 - 31.03.2020,
Funded by BMBF
Robust Industriell Transformasjon
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
- M. Stietencron (email@example.com)
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.
01.01.2018 - 31.12.2019,
Funded by BMWi
- Kompetenzzentrum Bremen
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
Development of a drone with an attached device for the inspection of wind turbines
Rotor blade inspection of wind turbines with hub heights of up to 160 m and blade lengths of up to 88 m is a challenge for service technicians. To support them in the future, the project is developing a drone for automatic inspection of the rotor blade surface. The rotor blade to be inspected is automatically flown off and examined for surface defects by means of optical measuring methods and machine learning. An attachment device also allows the drone to make contact with the rotor blade to test the lightning protection device.
01.01.2018 - 31.12.2019,
Funded by BMWi
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+
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.
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.
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 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 - 31.10.2019,
Funded by BMBF
An adaptive simulation-based optimisation approach for the scheduling and control of dynamic manufacturing systems
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.
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.
01.04.2016 - 31.03.2020,
Funded by DFG
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
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
April 1st - 5th, 2019, Hanover
Still Writing E-Mails or Already Communicating?
April 1st, 2019, Bremen
The Digital Now: Artificial Intelligence
April 3rd, 2019, Bremen
Supply Chain Day
April 11th, 2019, Bremen, Germany
transport logistic 2019
June 4th - 7th, 2019, Munich, Germany