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.
Duration 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