In collaboration with industry partners including HHLA Container Terminal Tollerort GmbH, the University of Bremen has developed an innovative AI-enabled condition monitoring system for port vehicles as part of the research project “KISS”. This system uses advanced technologies to monitor the technical condition of vehicles in real time.
In the project “AI-based damage and wear detection system for cloud-based condition monitoring of hybrid container vehicles” (“KI-Basiertes Schadens- und Verschleißerkennungssystem zur cloudbasierten Zustandsüberwachung von Hybrid-Container-Fahrzeugen”), funded by the German Federal Ministry of Economic Affairs and Climate Protection ( BMWK), partners such as ANEDO GmbH, Kessler & CO GmbH & Co. participated. KG, SEGNO Industrie Automation GmbH, HHLA Container Terminal Tollerort GmbH, ITEM Institute (Institute for Theoretical Electrical Engineering and Microelectronics) of the University of Bremen. The system uses modern technologies such as edge computing, IoT, data analysis and machine learning to monitor the status of container cranes in real time and take preventive measures to maintain them.
These specialized vehicles play a key role in ensuring the smooth operation of container shipping by moving containers between storage areas and different modes of transport. Constant monitoring of their condition is important to maintain operational readiness. The new system offers many benefits, including early fault detection, predictive maintenance, more efficient use of resources, improved safety and reduced costs by reducing downtime and extending vehicle life.