Autor: Arne Schuldt

Supported by an intelligent assistance system, the sustainability and digitalisation of the tideindependent Industriehafen Bremen can be increased. To guarantee port security, a constant level of the isolated harbour is essential. There is great potential for increasing energy efficiency if the lock naturally waters the harbour basin at times of high tide instead of employing a pump station. This contribution shows how artificial intelligence and innovative software systems were used to develop an assistance system to improve existing procedures without making extensive changes to the existing port infrastructure. (Only in German)

Sophisticated port infrastructure systems often have a significant potential for increasing energy efficiency and optimising internal processes. Supported by intelligent and innovative methods, solutions are to be created to improve existing procedures without having to make large-scale changes to the port infrastructure. The specific application scenario of intelligent processes is a tidal water port in Northern Germany.

The fourth industrial revolution promises a further automation of process control by cyber-physical systems. The individual products gain the ability for controlling their production and logistics themselves. By coordinating themselves they can jointly achieve business objectives. This logical decomposition reduces the complexity of cross-company process control significantly. Thus, even exceptions on short notice can be dealt with in real-time. In operation, the required artificial intelligence will usually not be implemented on the active objects. Instead, adequate software platforms for the so-called Industry 4.0 are required. This article investigates the requirements for such platforms and describes how they can be implemented.

Autonomous vehicles are employed in intralogistics in order to transport work pieces between different workplaces. Previous guidance systems are based on wire-guided tracks or optical following of surface markings. In the first case, the possibility to change the production layout is rather limited. In the second case, abrasion can significantly decrease recognition rates. In contrast, humans easily succeed in navigation tasks, even in dynamic environments. A promising approach is therefore to apply a cognitively motivated spatial representation for autonomous vehicles. This article presents BA23, a set of 23 qualitative relations for qualitative spatial reasoning, and discusses its application in intralogistics.