Autor: Christian Kircher

Today, intelligent cognitive systems are expected to provide the user at the machine with situation-dependent information in regard to the sequence of actions. The resulting requirements are analyzed in this paper and based on this, an information model is developed which is machine-oriented and computer-processable. With this information model not only the structural and functional aspects of the machine but also the actions of the user are described. By the situational extraction of relevant instructions according to the information model the machine user is supported in his decision making.

The demands on production companies increasingly vary due to unpre-dictable changes. This results in batch production of varying products and shorter life cycles of products and leads to difficulties in controlling the production sequences. In order to maintain optimal production processes the machining systems, including the controllers, must be adapted, when changes get too drastic. Thus autarkic modules with standardised interfaces for mechanical connection, energy, and information are required. As the adaptation process must be manageable und executable in a short time, self-adapting control systems, which adapt themselves depending on the changed machine structure, are needed.