Modulares Prognosemodell für den einsatzspezifischen Energieverbrauch von Gabelstaplern

Flurförderzeuge leisten einen wesentlichen Beitrag zu den Treibhausgasemissionen in der EU. Aktuell wird ihr Verbrauch in Deutschland in der Regel per VDI-Zyklus prognostiziert. Dieser hat allerdings keinen Bezug zu dem tatsächlichen Nutzungsprofil eines konkreten Flurförderzeugs. Es soll untersucht werden, inwiefern ein modularer Aufbau, der sich einsatzspezifisch anpassen lässt, eine verbesserte Prognose der Verbräuche ermöglicht. Zudem soll analysiert werden, wie viel Mehraufwand diese verbesserte Möglichkeit der Vorhersage für die Hersteller bzw. die Nutzer bedeutet. Am MTL ist ein Messsystem aufgebaut worden, welches neben dem Energieverbrauch auch die Einflussparameter aufnimmt. Es werden exemplarische Messungen vorgestellt.

Simulation and analysis of an emergency lowering system for crane applications

An emergency lowering system for use in safety critical crane applications is discussed. The system is used to safely lower the payload of a crane in case of an electric blackout. The system is based on a backup power source, which is used to operate the crane while the regular supply is not available. The system enables both horizontal and vertical movements of the crane. Two different configurations for building the system are described, one with an uninterruptible power source (UPS) or a diesel generator connected in parallel to the crane’s power supply and one with a customized energy storage connected to the intermediate DC-link in the crane. In order to be able to size the backup power source, the power required during emergency lowering needs to be understood. A simulation model is used to study and optimize the power used during emergency lowering. The simulation model and optimizations are verified in a test hoist. Simulation results are presented with non-optimized and optimized controls for two example applications: a paper roll crane and a steel mill ladle crane. The optimizations are found to significantly reduce the required power for the crane movements during emergency lowering.

Method of collaborative detection of autonomous transport vehicles based on laser rangefinder data

To master changing performance demands, autonomous transport vehicles are deployed to make inhouse material flow applications more flexible. The socalled cellular transport system consists of a multitude of small scale transport vehicles which shall be able to form a swarm. Therefore the vehicles need to detect each other, exchange information amongst each other and sense their environment. By provision of peripherally acquired information of other transport entities, more convenient decisions can be made in terms of navigation and collision avoidance. This paper is a contribution to collective utilization of sensor data in the swarm of cellular transport vehicles.