Simulation Based Human-Machine-Interaction

Within the scope of an already completed dissertation an innovative, ontology based knowledge management model for production start-ups was developed and implemented in a web based software system. The model enables the access to the cumulative knowledge gained from experiences with manufacturing start-ups in serial production at all facilities of the company with the aim of advancing problem-solving processes. Therefore, the data of the current problem is compared with the database and cases with similar difficulties are identified using the CBR-method. By structuring the knowledge with the help of an extendable domain ontology and an interactive mode for the enquiries to the software system, the database evolves constantly and adapts to the present problem case. Currently, the scientific continuation of this approach is realized in a simulation based human-robot-interaction.

A further issue is caused by the standstill periods of manufacturing plants. Due to the current error diagnosis decisions about what needs to be processed are made on short notice. Hence, the operators are subject to immense burdens and often planning methods and tools as well as assistant systems for the verification of decisions using redundant information, which are designed for the application in mobile processing machines, are missing. In order to eliminate this deficit analytical examinations regarding the specific requirements are necessary. By applying the previously at the Chair of Automation achieved results methods for the design of appropriate assistant systems are derived. It is planned to develop and test modules for such systems in specific use cases and deduce further conclusions from that.

Further work focuses are:

  • Investigation and development of application possibilities for resource-efficient processing of components based on an integrated assembling plant
  • Integration and adaptation of previously developed expert databases and knowledge management systems for the application in versatile production environments
  • Development and implementation of an innovative programming concept for the adaptation of a prior designed offline program by a human-machine software interaction
  • Development of innovative controlling concepts and human-machine connections for mobile applications and the operation of interconnected processing and assembling plants with varying requirements and applications
  • Experimental execution of process simulations focusing on the optimization of work flows
  • Development of simulation technologies, which support the operator concerning the training, operation and maintenance

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