CONWEAVER GmbH strengthens its technology base with results from a completed research project. The project on the topic “development of in-memory scheduling mechanisms for real-time updates of knowledge networks” was funded by the German Federal Ministry for Economic Affairs and Energy (BMWi) within the Central Innovation Programme (ZIM) for SMEs. In-memory execution of analytics workflows, parallelization and decoupling of processing pipelines, bottlenecks during database read/write operations etc. were optimized by combining scheduling algorithms and streaming methods. This enables for example fast calculations of change impact analysis during the digital engineering phase of automobile or airplane variant designs.
An important key for successful digital engineering is the integration of distributed product and engineering data. In the domain of automotive or aircraft construction the interplay of thousands of components has to be orchestrated: Each component interacts with further components. During the design and development of a single component, interdisciplinary teams of engineers have to consider multifaceted relationships, for example between requirements, other components, assemblies or configurations. One change of one engineering artefact can impact many other artefacts.
Semantic knowledge networks, as developed and distributed by CONWEAVER GmbH, support the search for engineering data artefacts such as components, variants and relationships between them, beyond company divisions or IT infrastructure boundaries. Due to the usually very large amount of engineering data, a knowledge network is pre-calculated initially, and then iteratively updated. A development engineer retrieves results from the net very fast, which itself, however, cannot be altered very fast.