BMBF Research Project: DaWiS
Development of an integrated solution for Data Farming and Knowledge Discovery in Simulation Data
The method of knowledge discovery in simulation data is based on performing a very wide range of simulation experiments in order to uncover hidden relations and potentially useful knowledge in the systems. The basis for this is the method of data farming, which has so far mainly been tested in the context of combat simulation. In data farming, a previously validated simulation model is used as a data generator by conducting experiments with the help of smart experiment design, experiment distribution and high performance computing, which cover as much of the complete spectrum of model and system behavior (response surface) as possible. The result data generated this way can then be analysed with the aid of data mining and visual analytics methods with regard to interesting correlations, relations and useful knowledge.
The aim of the project is to transfer the method of knowledge discovery in simulation data, which has so far mainly been considered in academic case studies in the field of production and logistics, to practical applications. For this purpose, methods of smart experiment design are to be evaluated and implemented, methods for the (cloud-based) distribution of experiments are to be developed, and suitable data mining and visual analytics methods are to be provided. For this purpose, an integrated platform will be designed and implemented.
To achieve these goals, the DaWiS consortium consists of SimPlan AG, the Group of Information Technology in Production and Logistics at the Ilmenau University of Technology (ITPL), C-P-S Holding GmbH & Co. KG and, as an associated partner, Maschinenfabrik Reinhausen GmbH (MR). SimPlan acts as consortium leader and contributes extensive know-how as software and simulation specialist. Based on the research activities of the last years, the ITPL Group provides the expertise regarding the necessary methods. C-P-S and MR contribute pilot use cases from production and supply chain design and support the development by the view of the end user from the beginning. SimPlan plans to connect the platform created in the project to the SimAssist software solution.
The project consortium includes the following partners:
- SimPlan AG (consortium leader)
- Group for Information Technology in Production and Logistics at TU Ilmenau (ITPL)
- C-P-S Holding GmbH & Co KG
- Maschinenfabrik Reinhausen GmbH (MR)