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EN
Project management within the automotive production in specific departments is still done separately and does not interact with engineering process. Our work aims on providing flexible data insights on collaboration tasks within such environments. We apply semantic technologies RDF, OWL and SPARQL with a specific domain related ontology PROTARES (PROject TAsks RESources) to interlink, describe and query domain knowledge. As proof of concept we are introducing an experimental visualisation interface called TaskRadar. Our application resides on domain ontology and allows knowledge based browsing and visualisation of tasks in development process. With this example we want to show, how semantically driven customized views can support monitoring and reflection as well as decision-making within the early phases of the automotive product lifecycle.
EN
Due to the fast advancement of manufacturing technologies for micro- and nanostructured components and the increasing need for sophisticated inspection methods the paper discusses the prerequisites for automatic execution of inspection plans [1]. Based on the latest state-of-the-art, the setup and operating principle of a closed quality loop for dimensional inspections is described. The ongoing development of manufacturing technologies and the increasing complexity of specimen to be inspected require more than one sensor to perform dimensional measurements efficiently. The I++ DME (Dimensional Measurement Equipment) interface standard enables the interoperability of different measurement software with different coordinate measuring machines (CMM). A novel concept to integrate multiple sensors at one CMM via I++ DME rather than via proprietary interfaces is presented. The outlined novel concept is based on an I++ DME node.
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