Use case description: Automation in manufacturing, e.g., of microchips at the Bosch Salzgitter factory, requires monitoring, analyses, and control of various processes and machines. This boils down to the integration of numerous (possibly dynamic) data sets that range from sensor data generated by machines at the factory’s shop floor to specifications of processes and legacy SAP data. Such data integration is a challenging problem and one of the approaches that Bosch takes in addressing it is by developing a unified Industry 4.0 information model in the form of an ontology that is based on the IEC 62264 international standard and has two levels. The upper-level ontology, called Bosch I4.0 Core Ontology, reflects the main part of IEC 62264. The core ontology is rather generic. Therefore, in a concrete data integration scenario, the core ontology is accompanied by domain-specific ontologies to capture machines, materials, and processes specific to the scenario. Then, the ontologies are mapped to the datasets of the scenario and the data can be accessed in a uniformed fashion and either queried directly or extracted and shipped to applications for, e.g., analytics, KPI computation.
Use case goal: The main goal of this use case is to show how the use of standardized ontologies can significantly simplify the data integration problem behind an analytical scenario at a Bosch factory. The analytics is needed as a part of the overall goal of factory automation. To enable integration of heterogeneous factory‐wide data for analytics of factory machines and processes, their monitoring and control.